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Add plan and experiments
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data/
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cache/
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*.pyc
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__pycache__/
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# Per-document fused rows: 6.7 MB, and `python run.py t5` regenerates them from cache/.
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fused/
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.venv/
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# Hybrid Fusion Experiment
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The harness behind the Tuning Retrieval in Qdrant series. Every claim in those articles traces to a file here through [`grounding.md`](grounding.md).
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`run.py` owns the measurement layer: corpora, indexes, the 45-arm fusion replay, and the two parity gates. `study.py` answers one series question per task on top of it.
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## Run it
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```bash
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docker run -d --name fusion-qdrant -p 6360:6333 -p 6361:6334 qdrant/qdrant:v1.19.0
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./download.sh # five corpora into data/raw/, about 1.3 GB
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python test_replay.py # Gate A: the seven Rust fixtures, exact equality
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python run.py t1 # corpora, avg_len, manifest.json
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python run.py t3 # build indexes, cache dense and sparse top-200
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python run.py t4 # Gate B: live parity against the server
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python run.py t5 # replay 45 arms
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python run.py t6 # candidate-breadth sweep, SciFact
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python run.py t7 # four more SciFact builds, then the floor
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python run.py t8 && python run.py exhibit
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python figure.py && python build_notebook.py
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```
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Full run is about 25 minutes on a laptop, most of it embedding 207,000 documents.
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Then the series tasks, which read what the above produced:
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```bash
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python study.py e1 # held-out split, 200 random splits per corpus
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python study.py e2 # how wide an interval each labeled-set size buys
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python study.py e5 # what a second prefetch adds, and what fusion keeps
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python study.py e3 # depth and hnsw_ef against ceiling and score, five corpora
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python study.py e3_latency # one fused request per query, randomized across settings
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python study.py e4_score # cross-encoder scores, three models. The slow one, hours
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python study.py e4 # reranking quality, selected and reported on different halves
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python study.py e6 # rebuild quantized, re-run the sweep, compare the verdicts
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python verify_articles.py # every figure in the five articles against its artifact
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```
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`e1`, `e2` and `e5` are pure replay and take seconds. `e3` and `e6` need the container. `e4_score` caches to `study/rerank/` per corpus and model, so it resumes rather than restarting.
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## What is here
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| Path | Contents |
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| --- | --- |
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| `harness/replay.py` | RRF and DBSF reproduced from the Rust, in float32 |
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| `harness/corpora.py` | The five loaders, subsampling at seed 42, `avg_len` measurement |
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| `harness/qio.py` | Index building and retrieval |
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| `harness/metrics.py` | nDCG@10, Recall@100, MRR@10, bootstrap intervals |
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| `run.py` | Tasks T1 to T8, one function each |
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| `study.py` | Tasks E1 to E6, one series question each |
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| `verify_articles.py` | Checks all 190 published figures two ways: against the artifact, and that the article file contains the value |
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| `test_replay.py` | Gate A |
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| `figure.py`, `build_notebook.py` | The article figure and the companion notebook |
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| `grounding.md` | Every claim, with the artifact or source line behind it |
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| `engineering-question.md` | Weighted score fusion has no API; drafted for the engine team |
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| `manifest.json`, `results/`, `fused/`, `diag/`, `floor/`, `breadth/`, `parity/`, `exhibit.json` | `run.py` outputs |
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| `study/` | `study.py` outputs, one JSON per task, plus cached reranker scores |
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`data/` and `cache/` are gitignored. `cache/` regenerates from `download.sh` plus T1 and T3.
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## Two setup traps
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Both would have produced quiet, wrong numbers.
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`full_scan_threshold` is in KiloBytes and the server rejects anything below 10 (`config_diff.rs:57`). Separately, an HNSW graph is only built for a segment larger than `optimizers_config.indexing_threshold`, which defaults to 10,000 KB (`lib/shard/src/optimizers/config.rs:17`, v1.19.0). That is about 6,700 vectors at 384 dimensions, and it is measured per segment rather than per collection, so SciFact sits under it outright and a larger corpus can sit under it on every segment. Without setting it, dense search would have been a full scan and the `hnsw_ef` sweep would have measured nothing.
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T3 gates on `indexed_vectors_count` against `points_count`, which is the direct read of whether a graph exists. It also runs the same query at `hnsw_ef` 64 and 512 and records whether they agree, but that comparison never gates: recall saturates, so SciFact returns byte-identical lists at both settings on a graph that is demonstrably HNSW.
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## Two implementations, same numbers
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The notebook computes nDCG@10 and the fusion arithmetic independently of the harness, which uses `pytrec_eval`. On SciFact both give 0.7175 for the default arm, 0.7323 for DBSF, 0.7067 for `k=61`, 0.9820 for the candidate ceiling, and 0.0313 for the median bootstrap interval.
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{
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"ef16_depth20": {
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"depth": 20,
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"hnsw_ef": 16,
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"union_recall": 0.9279999999999999,
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"ideal_ndcg_10": 0.9300191174702331,
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"dense_recall": 0.8246666666666667,
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"sparse_recall": 0.869888888888889,
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"default_ndcg_10": 0.7182688660917973,
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"best_arm": "rrf_k2_w1-2",
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"best_ndcg_10": 0.7186626208196644,
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"ordering": [
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"rrf_k2_w1-2",
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"rrf_k2_w1-1",
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"dbsf",
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"rrf_k5_w1-1",
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"rrf_k2_w1-3",
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"rrf_k1_w1-1",
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"rrf_k2_w2-4",
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"rrf_k5_w2-1",
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"rrf_k20_w1-1",
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"rrf_k61_w1-1",
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"rrf_k1_w2-4",
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"rrf_k1_w1-2",
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"rrf_k61_w2-1",
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"rrf_k5_w1-2",
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"rrf_k20_w2-1",
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"rrf_k2_w2-1",
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"rrf_k5_w3-1",
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"rrf_k5_w2-4",
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"rrf_k5_w1-3",
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"rrf_k20_w1-2",
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"rrf_k20_w2-4",
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"rrf_k61_w1-2",
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"rrf_k20_w1-3",
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"rrf_k1_w1-3",
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"rrf_k61_w2-4",
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"rrf_k61_w3-1",
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"rrf_k20_w3-1",
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"rrf_k61_w1-3",
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"rrf_k2_w3-1",
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"rrf_k1_w2-1",
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"rrf_k1_w3-1"
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],
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"arm_ndcg_10": {
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"rrf_k2_w1-2": 0.7186626208196644,
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"rrf_k2_w1-1": 0.7182688660917973,
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"dbsf": 0.7180624203560962,
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"rrf_k5_w1-1": 0.7144896378229179,
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"rrf_k2_w1-3": 0.7144193280684847,
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"rrf_k1_w1-1": 0.7135450244676782,
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"rrf_k2_w2-4": 0.7123968048344199,
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"rrf_k5_w2-1": 0.7112936660210052,
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"rrf_k20_w1-1": 0.7103689805696072,
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"rrf_k61_w1-1": 0.709054610626914,
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"rrf_k1_w2-4": 0.7072000684515861,
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"rrf_k1_w1-2": 0.7072000684515861,
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"rrf_k61_w2-1": 0.7062135585194244,
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"rrf_k5_w1-2": 0.706119469573368,
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"rrf_k20_w2-1": 0.7059670423888645,
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"rrf_k2_w2-1": 0.7051988348175411,
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"rrf_k5_w3-1": 0.7041194337257045,
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"rrf_k5_w2-4": 0.7035188474408888,
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"rrf_k5_w1-3": 0.703458974622195,
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"rrf_k20_w1-2": 0.702524300928885,
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"rrf_k20_w2-4": 0.7022446152670828,
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"rrf_k61_w1-2": 0.701808182755178,
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"rrf_k20_w1-3": 0.7011772272970471,
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"rrf_k1_w1-3": 0.7007666368740246,
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"rrf_k61_w2-4": 0.7003274791557945,
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"rrf_k61_w3-1": 0.6996554544279036,
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"rrf_k20_w3-1": 0.6996426723710097,
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"rrf_k61_w1-3": 0.6989198059922149,
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"rrf_k2_w3-1": 0.6984422813165032,
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"rrf_k1_w2-1": 0.6811476245232382,
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"rrf_k1_w3-1": 0.6649761309688809
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},
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"kendall_tau_vs_baseline": 0.6465517241379312
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},
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"ef16_depth50": {
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"depth": 50,
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"hnsw_ef": 16,
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"union_recall": 0.9503333333333334,
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"ideal_ndcg_10": 0.9511195792180346,
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"dense_recall": 0.8820000000000001,
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"sparse_recall": 0.8918888888888888,
|
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|
"default_ndcg_10": 0.7194971588756962,
|
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|
"best_arm": "dbsf",
|
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|
"best_ndcg_10": 0.7278864243745619,
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"ordering": [
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"dbsf",
|
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"rrf_k2_w1-1",
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"rrf_k2_w1-2",
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"rrf_k5_w1-1",
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"rrf_k2_w2-4",
|
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|
"rrf_k20_w1-1",
|
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"rrf_k5_w2-1",
|
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"rrf_k1_w1-1",
|
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"rrf_k5_w3-1",
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"rrf_k2_w1-3",
|
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"rrf_k20_w2-1",
|
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|
"rrf_k61_w1-1",
|
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"rrf_k5_w1-2",
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"rrf_k20_w3-1",
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"rrf_k61_w2-1",
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"rrf_k61_w3-1",
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"rrf_k2_w2-1",
|
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"rrf_k5_w1-3",
|
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|
"rrf_k1_w2-4",
|
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|
"rrf_k1_w1-2",
|
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|
"rrf_k5_w2-4",
|
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"rrf_k1_w1-3",
|
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|
"rrf_k20_w1-2",
|
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|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k1_w2-1",
|
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|
"rrf_k1_w3-1"
|
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|
],
|
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|
"arm_ndcg_10": {
|
||||||
|
"dbsf": 0.7278864243745619,
|
||||||
|
"rrf_k2_w1-1": 0.7194971588756962,
|
||||||
|
"rrf_k2_w1-2": 0.7157663405681429,
|
||||||
|
"rrf_k5_w1-1": 0.715360060419144,
|
||||||
|
"rrf_k2_w2-4": 0.71478232340963,
|
||||||
|
"rrf_k20_w1-1": 0.714621311962853,
|
||||||
|
"rrf_k5_w2-1": 0.7143402336849811,
|
||||||
|
"rrf_k1_w1-1": 0.7142887684692664,
|
||||||
|
"rrf_k5_w3-1": 0.7106907470858285,
|
||||||
|
"rrf_k2_w1-3": 0.710128341304386,
|
||||||
|
"rrf_k20_w2-1": 0.7089818188837064,
|
||||||
|
"rrf_k61_w1-1": 0.7085654496664912,
|
||||||
|
"rrf_k5_w1-2": 0.707450594516784,
|
||||||
|
"rrf_k20_w3-1": 0.7053706507474363,
|
||||||
|
"rrf_k61_w2-1": 0.7053444556152197,
|
||||||
|
"rrf_k61_w3-1": 0.7052790567162379,
|
||||||
|
"rrf_k2_w2-1": 0.7051596768810012,
|
||||||
|
"rrf_k5_w1-3": 0.7043051670228958,
|
||||||
|
"rrf_k1_w2-4": 0.7041177382870462,
|
||||||
|
"rrf_k1_w1-2": 0.7041177382870462,
|
||||||
|
"rrf_k5_w2-4": 0.703790685484793,
|
||||||
|
"rrf_k1_w1-3": 0.7014010231101435,
|
||||||
|
"rrf_k20_w1-2": 0.7008815170374046,
|
||||||
|
"rrf_k20_w1-3": 0.6991732462220025,
|
||||||
|
"rrf_k20_w2-4": 0.6989591471922769,
|
||||||
|
"rrf_k61_w1-2": 0.6987752232207968,
|
||||||
|
"rrf_k61_w2-4": 0.6971977684589945,
|
||||||
|
"rrf_k2_w3-1": 0.6968480924560846,
|
||||||
|
"rrf_k61_w1-3": 0.6966240671744881,
|
||||||
|
"rrf_k1_w2-1": 0.6778207611055789,
|
||||||
|
"rrf_k1_w3-1": 0.6640622483356133
|
||||||
|
},
|
||||||
|
"kendall_tau_vs_baseline": 0.8663793103448276
|
||||||
|
},
|
||||||
|
"ef16_depth200": {
|
||||||
|
"depth": 200,
|
||||||
|
"hnsw_ef": 16,
|
||||||
|
"union_recall": 0.9816666666666667,
|
||||||
|
"ideal_ndcg_10": 0.982043823975885,
|
||||||
|
"dense_recall": 0.955,
|
||||||
|
"sparse_recall": 0.94,
|
||||||
|
"default_ndcg_10": 0.717491736277043,
|
||||||
|
"best_arm": "dbsf",
|
||||||
|
"best_ndcg_10": 0.7323037871882409,
|
||||||
|
"ordering": [
|
||||||
|
"dbsf",
|
||||||
|
"rrf_k2_w1-1",
|
||||||
|
"rrf_k5_w1-1",
|
||||||
|
"rrf_k2_w2-4",
|
||||||
|
"rrf_k2_w1-2",
|
||||||
|
"rrf_k5_w2-1",
|
||||||
|
"rrf_k20_w2-1",
|
||||||
|
"rrf_k5_w3-1",
|
||||||
|
"rrf_k20_w3-1",
|
||||||
|
"rrf_k1_w1-1",
|
||||||
|
"rrf_k20_w1-1",
|
||||||
|
"rrf_k2_w1-3",
|
||||||
|
"rrf_k61_w3-1",
|
||||||
|
"rrf_k5_w2-4",
|
||||||
|
"rrf_k61_w1-1",
|
||||||
|
"rrf_k61_w2-1",
|
||||||
|
"rrf_k5_w1-2",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k1_w2-4",
|
||||||
|
"rrf_k1_w1-2",
|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k20_w1-2",
|
||||||
|
"rrf_k1_w1-3",
|
||||||
|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k1_w2-1",
|
||||||
|
"rrf_k1_w3-1"
|
||||||
|
],
|
||||||
|
"arm_ndcg_10": {
|
||||||
|
"dbsf": 0.7323037871882409,
|
||||||
|
"rrf_k2_w1-1": 0.717491736277043,
|
||||||
|
"rrf_k5_w1-1": 0.7156308396590209,
|
||||||
|
"rrf_k2_w2-4": 0.7150768502208781,
|
||||||
|
"rrf_k2_w1-2": 0.7150124228231062,
|
||||||
|
"rrf_k5_w2-1": 0.7142404865507347,
|
||||||
|
"rrf_k20_w2-1": 0.7137673060986615,
|
||||||
|
"rrf_k5_w3-1": 0.712514365393912,
|
||||||
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"rrf_k5_w3-1",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k20_w1-2",
|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k1_w1-3",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k61_w3-1",
|
||||||
|
"rrf_k20_w3-1",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k1_w2-1",
|
||||||
|
"rrf_k1_w3-1"
|
||||||
|
],
|
||||||
|
"arm_ndcg_10": {
|
||||||
|
"rrf_k2_w1-2": 0.7172458775130834,
|
||||||
|
"dbsf": 0.7172449501044995,
|
||||||
|
"rrf_k2_w1-1": 0.7155128155518965,
|
||||||
|
"rrf_k2_w1-3": 0.7141929350188453,
|
||||||
|
"rrf_k5_w1-1": 0.7131118419781046,
|
||||||
|
"rrf_k2_w2-4": 0.7118522356800095,
|
||||||
|
"rrf_k1_w1-1": 0.7107889739277774,
|
||||||
|
"rrf_k5_w2-1": 0.7098850336199061,
|
||||||
|
"rrf_k20_w1-1": 0.7093839764534631,
|
||||||
|
"rrf_k61_w1-1": 0.7078385283710144,
|
||||||
|
"rrf_k1_w1-2": 0.707013559299767,
|
||||||
|
"rrf_k1_w2-4": 0.707013559299767,
|
||||||
|
"rrf_k61_w2-1": 0.7046990423377331,
|
||||||
|
"rrf_k5_w1-2": 0.7044926868045217,
|
||||||
|
"rrf_k20_w2-1": 0.704452526207173,
|
||||||
|
"rrf_k5_w2-4": 0.7031900054869534,
|
||||||
|
"rrf_k5_w3-1": 0.703077687165435,
|
||||||
|
"rrf_k5_w1-3": 0.7030225421102901,
|
||||||
|
"rrf_k20_w1-2": 0.7024265371147049,
|
||||||
|
"rrf_k2_w2-1": 0.7022850545953327,
|
||||||
|
"rrf_k20_w2-4": 0.7021756797211153,
|
||||||
|
"rrf_k61_w1-2": 0.7021756797211153,
|
||||||
|
"rrf_k20_w1-3": 0.7013631554524637,
|
||||||
|
"rrf_k1_w1-3": 0.7006387201236097,
|
||||||
|
"rrf_k61_w2-4": 0.7002585436098269,
|
||||||
|
"rrf_k61_w1-3": 0.6992474190603318,
|
||||||
|
"rrf_k61_w3-1": 0.697837059321573,
|
||||||
|
"rrf_k20_w3-1": 0.6978242772646791,
|
||||||
|
"rrf_k2_w3-1": 0.6958123293356949,
|
||||||
|
"rrf_k1_w2-1": 0.6803018072010231,
|
||||||
|
"rrf_k1_w3-1": 0.6646711259156606
|
||||||
|
},
|
||||||
|
"kendall_tau_vs_baseline": 0.6450920689818782
|
||||||
|
},
|
||||||
|
"ef512_depth50": {
|
||||||
|
"depth": 50,
|
||||||
|
"hnsw_ef": 512,
|
||||||
|
"union_recall": 0.9503333333333334,
|
||||||
|
"ideal_ndcg_10": 0.9511195792180346,
|
||||||
|
"dense_recall": 0.8853333333333334,
|
||||||
|
"sparse_recall": 0.8918888888888888,
|
||||||
|
"default_ndcg_10": 0.7168891288761211,
|
||||||
|
"best_arm": "dbsf",
|
||||||
|
"best_ndcg_10": 0.7270333475290183,
|
||||||
|
"ordering": [
|
||||||
|
"dbsf",
|
||||||
|
"rrf_k2_w1-1",
|
||||||
|
"rrf_k2_w1-2",
|
||||||
|
"rrf_k2_w2-4",
|
||||||
|
"rrf_k5_w2-1",
|
||||||
|
"rrf_k20_w1-1",
|
||||||
|
"rrf_k5_w1-1",
|
||||||
|
"rrf_k1_w1-1",
|
||||||
|
"rrf_k2_w1-3",
|
||||||
|
"rrf_k5_w3-1",
|
||||||
|
"rrf_k61_w1-1",
|
||||||
|
"rrf_k20_w2-1",
|
||||||
|
"rrf_k5_w1-2",
|
||||||
|
"rrf_k20_w3-1",
|
||||||
|
"rrf_k5_w2-4",
|
||||||
|
"rrf_k1_w2-4",
|
||||||
|
"rrf_k1_w1-2",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k61_w2-1",
|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k61_w3-1",
|
||||||
|
"rrf_k20_w1-2",
|
||||||
|
"rrf_k1_w1-3",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k1_w2-1",
|
||||||
|
"rrf_k1_w3-1"
|
||||||
|
],
|
||||||
|
"arm_ndcg_10": {
|
||||||
|
"dbsf": 0.7270333475290183,
|
||||||
|
"rrf_k2_w1-1": 0.7168891288761211,
|
||||||
|
"rrf_k2_w1-2": 0.7145759903112014,
|
||||||
|
"rrf_k2_w2-4": 0.7143857747955454,
|
||||||
|
"rrf_k5_w2-1": 0.7131031179018119,
|
||||||
|
"rrf_k20_w1-1": 0.7129886096677298,
|
||||||
|
"rrf_k5_w1-1": 0.7129788312554507,
|
||||||
|
"rrf_k1_w1-1": 0.7116807384696913,
|
||||||
|
"rrf_k2_w1-3": 0.710128341304386,
|
||||||
|
"rrf_k5_w3-1": 0.7096592719939475,
|
||||||
|
"rrf_k61_w1-1": 0.7077673707197607,
|
||||||
|
"rrf_k20_w2-1": 0.7070958280662616,
|
||||||
|
"rrf_k5_w1-2": 0.7058238117479376,
|
||||||
|
"rrf_k20_w3-1": 0.7049691204147904,
|
||||||
|
"rrf_k5_w2-4": 0.7047348436009861,
|
||||||
|
"rrf_k1_w2-4": 0.7041576221848665,
|
||||||
|
"rrf_k1_w1-2": 0.7041576221848665,
|
||||||
|
"rrf_k5_w1-3": 0.7040998126507464,
|
||||||
|
"rrf_k61_w2-1": 0.7035828272474297,
|
||||||
|
"rrf_k2_w2-1": 0.7030903580777434,
|
||||||
|
"rrf_k61_w3-1": 0.7029903114392931,
|
||||||
|
"rrf_k20_w1-2": 0.7020753889107378,
|
||||||
|
"rrf_k1_w1-3": 0.7014010231101435,
|
||||||
|
"rrf_k20_w2-4": 0.7001893813470387,
|
||||||
|
"rrf_k61_w1-2": 0.6997743792358032,
|
||||||
|
"rrf_k20_w1-3": 0.6997474373949425,
|
||||||
|
"rrf_k61_w2-4": 0.698196924474001,
|
||||||
|
"rrf_k61_w1-3": 0.6971043386529252,
|
||||||
|
"rrf_k2_w3-1": 0.6949529827311328,
|
||||||
|
"rrf_k1_w2-1": 0.677976643304058,
|
||||||
|
"rrf_k1_w3-1": 0.6641149282290312
|
||||||
|
},
|
||||||
|
"kendall_tau_vs_baseline": 0.8232758620689656
|
||||||
|
},
|
||||||
|
"ef512_depth200": {
|
||||||
|
"depth": 200,
|
||||||
|
"hnsw_ef": 512,
|
||||||
|
"union_recall": 0.9816666666666667,
|
||||||
|
"ideal_ndcg_10": 0.982043823975885,
|
||||||
|
"dense_recall": 0.955,
|
||||||
|
"sparse_recall": 0.94,
|
||||||
|
"default_ndcg_10": 0.717491736277043,
|
||||||
|
"best_arm": "dbsf",
|
||||||
|
"best_ndcg_10": 0.7323037871882409,
|
||||||
|
"ordering": [
|
||||||
|
"dbsf",
|
||||||
|
"rrf_k2_w1-1",
|
||||||
|
"rrf_k5_w1-1",
|
||||||
|
"rrf_k2_w2-4",
|
||||||
|
"rrf_k2_w1-2",
|
||||||
|
"rrf_k5_w2-1",
|
||||||
|
"rrf_k20_w2-1",
|
||||||
|
"rrf_k5_w3-1",
|
||||||
|
"rrf_k20_w3-1",
|
||||||
|
"rrf_k20_w1-1",
|
||||||
|
"rrf_k1_w1-1",
|
||||||
|
"rrf_k2_w1-3",
|
||||||
|
"rrf_k61_w3-1",
|
||||||
|
"rrf_k61_w2-1",
|
||||||
|
"rrf_k5_w2-4",
|
||||||
|
"rrf_k61_w1-1",
|
||||||
|
"rrf_k5_w1-2",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k1_w2-4",
|
||||||
|
"rrf_k1_w1-2",
|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k20_w1-2",
|
||||||
|
"rrf_k1_w1-3",
|
||||||
|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k1_w2-1",
|
||||||
|
"rrf_k1_w3-1"
|
||||||
|
],
|
||||||
|
"arm_ndcg_10": {
|
||||||
|
"dbsf": 0.7323037871882409,
|
||||||
|
"rrf_k2_w1-1": 0.717491736277043,
|
||||||
|
"rrf_k5_w1-1": 0.7153997615192654,
|
||||||
|
"rrf_k2_w2-4": 0.7150768502208781,
|
||||||
|
"rrf_k2_w1-2": 0.7150124228231062,
|
||||||
|
"rrf_k5_w2-1": 0.7142404865507347,
|
||||||
|
"rrf_k20_w2-1": 0.7137274222008411,
|
||||||
|
"rrf_k5_w3-1": 0.712514365393912,
|
||||||
|
"rrf_k20_w3-1": 0.712280918873719,
|
||||||
|
"rrf_k20_w1-1": 0.712245686318288,
|
||||||
|
"rrf_k1_w1-1": 0.7116966674396331,
|
||||||
|
"rrf_k2_w1-3": 0.7105054986136041,
|
||||||
|
"rrf_k61_w3-1": 0.7088186689340121,
|
||||||
|
"rrf_k61_w2-1": 0.7075995703743996,
|
||||||
|
"rrf_k5_w2-4": 0.7072125586828444,
|
||||||
|
"rrf_k61_w1-1": 0.7067253098753955,
|
||||||
|
"rrf_k5_w1-2": 0.7062325670137304,
|
||||||
|
"rrf_k5_w1-3": 0.7049256031971145,
|
||||||
|
"rrf_k1_w2-4": 0.7045940546967714,
|
||||||
|
"rrf_k1_w1-2": 0.7045940546967714,
|
||||||
|
"rrf_k2_w2-1": 0.7033628305613119,
|
||||||
|
"rrf_k20_w1-2": 0.7032797784391043,
|
||||||
|
"rrf_k1_w1-3": 0.7015955812699949,
|
||||||
|
"rrf_k20_w1-3": 0.7006544754820371,
|
||||||
|
"rrf_k20_w2-4": 0.6982494271830642,
|
||||||
|
"rrf_k2_w3-1": 0.6977839705926246,
|
||||||
|
"rrf_k61_w1-2": 0.6953235940524766,
|
||||||
|
"rrf_k61_w2-4": 0.6933659535058827,
|
||||||
|
"rrf_k61_w1-3": 0.6921649012827853,
|
||||||
|
"rrf_k1_w2-1": 0.6769662017394467,
|
||||||
|
"rrf_k1_w3-1": 0.6649022480113157
|
||||||
|
},
|
||||||
|
"kendall_tau_vs_baseline": 1.0
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,425 @@
|
|||||||
|
"""Generate the companion notebook. Destination: qdrant/examples/fusion-methods/."""
|
||||||
|
|
||||||
|
import json
|
||||||
|
import pathlib
|
||||||
|
|
||||||
|
OUT = pathlib.Path(__file__).parent / "notebook" / "Tuning_Hybrid_Fusion.ipynb"
|
||||||
|
|
||||||
|
|
||||||
|
def _lines(text):
|
||||||
|
"""nbformat wants each source line to keep its newline, except the last."""
|
||||||
|
parts = text.split("\n")
|
||||||
|
return [line + "\n" for line in parts[:-1]] + parts[-1:]
|
||||||
|
|
||||||
|
|
||||||
|
def md(text):
|
||||||
|
return {"cell_type": "markdown", "metadata": {}, "source": _lines(text.strip())}
|
||||||
|
|
||||||
|
|
||||||
|
def code(text):
|
||||||
|
return {
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": None,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": _lines(text.strip("\n")),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
CELLS = [
|
||||||
|
md("""
|
||||||
|
# Tuning Hybrid Fusion: Is Your Gain Real?
|
||||||
|
|
||||||
|
| | |
|
||||||
|
|---|---|
|
||||||
|
| **Time** | 40 min |
|
||||||
|
| **Level** | Intermediate |
|
||||||
|
| **Requires** | Qdrant 1.17.x or later |
|
||||||
|
|
||||||
|
Sweeping the fusion grid always produces a winner. This notebook decides whether that winner is
|
||||||
|
worth deploying, by measuring how large a gain has to be on your own labeled set before it means
|
||||||
|
anything.
|
||||||
|
|
||||||
|
It runs end to end on BEIR/SciFact. Swap in your own data at the cell marked **Your Data**.
|
||||||
|
The companion article is [How to Tune Hybrid Search in Qdrant](https://qdrant.tech/articles/how-to-tune-hybrid-search/).
|
||||||
|
"""),
|
||||||
|
md("## Setup"),
|
||||||
|
code("""
|
||||||
|
!pip install -q "qdrant-client>=1.17.0" datasets pandas numpy fastembed
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
<aside role="status">This notebook uses <a href="https://qdrant.tech/documentation/inference/#qdrant-cloud-inference">Qdrant Cloud Inference</a>
|
||||||
|
to embed documents server-side, so no model runs in the notebook. The free tier covers this corpus.
|
||||||
|
To run against a self-hosted cluster instead, drop <code>cloud_inference=True</code> and produce the
|
||||||
|
vectors with FastEmbed locally.</aside>
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
import numpy as np
|
||||||
|
import pandas as pd
|
||||||
|
from datasets import load_dataset
|
||||||
|
from google.colab import userdata
|
||||||
|
from qdrant_client import QdrantClient, models
|
||||||
|
|
||||||
|
# Set QDRANT_URL and QDRANT_API_KEY as Colab secrets (left sidebar, key icon).
|
||||||
|
# Values come from https://cloud.qdrant.io
|
||||||
|
client = QdrantClient(
|
||||||
|
url=userdata.get("QDRANT_URL"),
|
||||||
|
api_key=userdata.get("QDRANT_API_KEY"),
|
||||||
|
cloud_inference=True,
|
||||||
|
)
|
||||||
|
|
||||||
|
COLLECTION = "fusion_tuning"
|
||||||
|
DENSE_MODEL = "sentence-transformers/all-minilm-l6-v2"
|
||||||
|
DENSE_DIM = 384
|
||||||
|
BM25_MODEL = "qdrant/bm25"
|
||||||
|
DEPTH = 200 # candidates per leg; the article measures why this matters more than k
|
||||||
|
SEED = 42
|
||||||
|
|
||||||
|
rng = np.random.default_rng(SEED)
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Your Data
|
||||||
|
|
||||||
|
Everything downstream reads three objects: `documents` (a list of strings), `queries`
|
||||||
|
(query id to text), and `qrels` (query id to a dict of document index to relevance).
|
||||||
|
The next cell fills them from SciFact. **This is the cell to replace with your own data.**
|
||||||
|
|
||||||
|
Around 50 labeled queries is the floor for the interval at the end to say anything.
|
||||||
|
[Retrieval relevance](https://qdrant.tech/documentation/improve-search/retrieval-relevance/)
|
||||||
|
covers building a labeled set, including the warning that synthetic queries inflate scores.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
corpus_ds = load_dataset("BeIR/scifact", "corpus", split="corpus")
|
||||||
|
queries_ds = load_dataset("BeIR/scifact", "queries", split="queries")
|
||||||
|
qrels_ds = load_dataset("BeIR/scifact-qrels", split="test")
|
||||||
|
|
||||||
|
documents = [f"{d.get('title', '')} {d.get('text', '')}".strip() for d in corpus_ds]
|
||||||
|
row_of_doc = {d["_id"]: i for i, d in enumerate(corpus_ds)}
|
||||||
|
|
||||||
|
qrels = {}
|
||||||
|
for row in qrels_ds:
|
||||||
|
if row["score"] > 0:
|
||||||
|
qrels.setdefault(str(row["query-id"]), {})[row_of_doc[str(row["corpus-id"])]] = int(row["score"])
|
||||||
|
|
||||||
|
queries = {str(q["_id"]): q["text"] for q in queries_ds if str(q["_id"]) in qrels}
|
||||||
|
print(f"{len(documents):,} documents, {len(queries):,} labeled queries")
|
||||||
|
print(f"{np.mean([len(v) for v in qrels.values()]):.1f} relevant documents per query")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Split the Queries
|
||||||
|
|
||||||
|
The grid is swept on one half and the winner is checked on the other. Selecting and reporting on
|
||||||
|
the same queries is how a sweep manufactures a gain that does not repeat.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
query_ids = sorted(queries)
|
||||||
|
shuffled = rng.permutation(len(query_ids))
|
||||||
|
half = len(query_ids) // 2
|
||||||
|
tune_ids = [query_ids[i] for i in sorted(shuffled[:half])]
|
||||||
|
test_ids = [query_ids[i] for i in sorted(shuffled[half:])]
|
||||||
|
print(f"{len(tune_ids)} queries to sweep on, {len(test_ids)} held back")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Measure `avg_len` for BM25
|
||||||
|
|
||||||
|
BM25 divides document length by `avg_len`, which defaults to 256. The length it compares against is
|
||||||
|
the token count *after* stopword removal and stemming, so counting words overstates it. On SciFact
|
||||||
|
the word count is 225 and the number BM25 actually uses is 151.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
from fastembed.common.utils import remove_non_alphanumeric
|
||||||
|
from fastembed.sparse.bm25 import Bm25
|
||||||
|
|
||||||
|
_bm25 = Bm25(BM25_MODEL)
|
||||||
|
lengths = [len(_bm25._stem(_bm25.tokenizer.tokenize(remove_non_alphanumeric(t)))) for t in documents]
|
||||||
|
AVG_LEN = round(float(np.mean(lengths)), 1)
|
||||||
|
print(f"avg_len = {AVG_LEN} (mean word count would be "
|
||||||
|
f"{np.mean([len(t.split()) for t in documents]):.1f})")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Index Both Legs
|
||||||
|
|
||||||
|
One point per document, carrying a dense vector and a BM25 sparse vector. `Modifier.IDF` tells
|
||||||
|
Qdrant to apply inverse document frequency server-side, which is what makes the sparse vectors
|
||||||
|
behave like BM25 rather than raw term counts.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
if client.collection_exists(COLLECTION):
|
||||||
|
client.delete_collection(COLLECTION)
|
||||||
|
|
||||||
|
client.create_collection(
|
||||||
|
collection_name=COLLECTION,
|
||||||
|
vectors_config={"dense": models.VectorParams(size=DENSE_DIM, distance=models.Distance.COSINE)},
|
||||||
|
sparse_vectors_config={"bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)},
|
||||||
|
)
|
||||||
|
|
||||||
|
client.upload_points(
|
||||||
|
collection_name=COLLECTION,
|
||||||
|
points=[
|
||||||
|
models.PointStruct(
|
||||||
|
id=i,
|
||||||
|
vector={
|
||||||
|
"dense": models.Document(text=text, model=DENSE_MODEL),
|
||||||
|
"bm25": models.Document(text=text, model=BM25_MODEL, options={"avg_len": AVG_LEN}),
|
||||||
|
},
|
||||||
|
)
|
||||||
|
for i, text in enumerate(documents)
|
||||||
|
],
|
||||||
|
batch_size=256,
|
||||||
|
)
|
||||||
|
print(f"indexed {len(documents):,} points")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Fetch the Candidates Once
|
||||||
|
|
||||||
|
Every fusion setting below reorders the same two candidate lists, so they are fetched once and
|
||||||
|
replayed offline. That turns a grid sweep from hundreds of round trips into arithmetic.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
def candidates(query_id):
|
||||||
|
dense, sparse = client.query_batch_points(
|
||||||
|
collection_name=COLLECTION,
|
||||||
|
requests=[
|
||||||
|
models.QueryRequest(
|
||||||
|
query=models.Document(text=queries[query_id], model=DENSE_MODEL),
|
||||||
|
using="dense", limit=DEPTH, with_payload=False,
|
||||||
|
),
|
||||||
|
models.QueryRequest(
|
||||||
|
query=models.Document(text=queries[query_id], model=BM25_MODEL,
|
||||||
|
options={"avg_len": AVG_LEN}),
|
||||||
|
using="bm25", limit=DEPTH, with_payload=False,
|
||||||
|
),
|
||||||
|
],
|
||||||
|
)
|
||||||
|
return {
|
||||||
|
leg: (
|
||||||
|
np.array([p.id for p in response.points], dtype=np.int64),
|
||||||
|
np.array([p.score for p in response.points], dtype=np.float32),
|
||||||
|
)
|
||||||
|
for leg, response in (("dense", dense), ("sparse", sparse))
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
legs = {qid: candidates(qid) for qid in query_ids}
|
||||||
|
print(f"cached candidates for {len(legs)} queries")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Replay the Fusion Offline
|
||||||
|
|
||||||
|
Qdrant computes RRF as `1 / ((pos + 1) / weight + k - 1)` per leg, summed across legs, in float32.
|
||||||
|
DBSF normalizes each leg against its mean plus or minus three sample standard deviations, then sums.
|
||||||
|
Both are reproduced here so a whole grid can be scored without re-querying. The float32 casts match
|
||||||
|
the engine; float64 diverges on every query.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
F32 = np.float32
|
||||||
|
|
||||||
|
|
||||||
|
def rrf(legs_for_query, k=2, weights=(1.0, 1.0)):
|
||||||
|
ids, scores = _union(legs_for_query)
|
||||||
|
for (leg_ids, _), weight, slot in zip(legs_for_query.values(), weights, _slots(legs_for_query, ids)):
|
||||||
|
positions = np.arange(1, len(leg_ids) + 1, dtype=F32)
|
||||||
|
scores[slot] += F32(1.0) / (positions / F32(weight) + F32(k) - F32(1.0))
|
||||||
|
return _rank(ids, scores)
|
||||||
|
|
||||||
|
|
||||||
|
def dbsf(legs_for_query):
|
||||||
|
ids, scores = _union(legs_for_query)
|
||||||
|
for (_, raw), slot in zip(legs_for_query.values(), _slots(legs_for_query, ids)):
|
||||||
|
scores[slot] += _distr_norm(raw)
|
||||||
|
return _rank(ids, scores)
|
||||||
|
|
||||||
|
|
||||||
|
def _distr_norm(raw):
|
||||||
|
if len(raw) < 2:
|
||||||
|
return np.full(len(raw), F32(0.5), dtype=F32)
|
||||||
|
mean, aggregate = F32(0.0), F32(0.0)
|
||||||
|
for n, value in enumerate(raw, start=1): # Welford, in float32, as the engine does
|
||||||
|
delta = F32(value) - mean
|
||||||
|
mean = mean + delta / F32(n)
|
||||||
|
aggregate = aggregate + delta * (F32(value) - mean)
|
||||||
|
spread = F32(3.0) * np.sqrt(aggregate / (F32(len(raw)) - F32(1.0)), dtype=F32)
|
||||||
|
low, high = mean - spread, mean + spread
|
||||||
|
if low == high: # a leg with no spread contributes nothing
|
||||||
|
return np.full(len(raw), F32(0.5), dtype=F32)
|
||||||
|
return (raw - low) / (high - low)
|
||||||
|
|
||||||
|
|
||||||
|
def _union(legs_for_query):
|
||||||
|
ids = np.unique(np.concatenate([leg_ids for leg_ids, _ in legs_for_query.values()]))
|
||||||
|
return ids, np.zeros(len(ids), dtype=F32)
|
||||||
|
|
||||||
|
|
||||||
|
def _slots(legs_for_query, ids):
|
||||||
|
return [np.searchsorted(ids, leg_ids) for leg_ids, _ in legs_for_query.values()]
|
||||||
|
|
||||||
|
|
||||||
|
def _rank(ids, scores):
|
||||||
|
# Fusion sorts on score alone and leaves ties in arbitrary order. Breaking them
|
||||||
|
# by id keeps two identical queries from returning two different orders.
|
||||||
|
return ids[np.lexsort((ids, -scores))]
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Move 1: Can Fusion Help At All?
|
||||||
|
|
||||||
|
Fusion reorders the candidates the legs returned, so the best it could possibly do is order that
|
||||||
|
union perfectly. If that ceiling is already below your target, the fix is a larger prefetch `limit`
|
||||||
|
or a better retriever, and no value of `k` will reach it.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
def dcg(gains):
|
||||||
|
return sum(gain / np.log2(i + 2) for i, gain in enumerate(gains[:10]))
|
||||||
|
|
||||||
|
|
||||||
|
def ndcg_from_gains(gains, query_id):
|
||||||
|
ideal = sorted(qrels[query_id].values(), reverse=True)
|
||||||
|
return dcg(gains) / dcg(ideal) if any(ideal) else 0.0
|
||||||
|
|
||||||
|
|
||||||
|
def ndcg_at_10(ranked, query_id):
|
||||||
|
return ndcg_from_gains([qrels[query_id].get(int(doc), 0) for doc in ranked[:10]], query_id)
|
||||||
|
|
||||||
|
|
||||||
|
def ceiling(query_id):
|
||||||
|
# The best nDCG@10 any ordering of these candidates could reach.
|
||||||
|
union = np.unique(np.concatenate([ids for ids, _ in legs[query_id].values()]))
|
||||||
|
return ndcg_from_gains(
|
||||||
|
sorted((qrels[query_id].get(int(doc), 0) for doc in union), reverse=True), query_id
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
achieved = np.mean([ndcg_at_10(rrf(legs[q]), q) for q in test_ids])
|
||||||
|
best_possible = np.mean([ceiling(q) for q in test_ids])
|
||||||
|
print(f"default fusion nDCG@10 : {achieved:.4f}")
|
||||||
|
print(f"candidate ceiling : {best_possible:.4f}")
|
||||||
|
print(f"headroom fusion can use: {best_possible - achieved:.4f}")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Move 2: Does Each Leg Earn Its Place?
|
||||||
|
|
||||||
|
Split the default arm's top 10 by which leg found each result. A leg whose unique documents never
|
||||||
|
survive into the top 10 is paying latency for nothing; a leg that contributes relevant documents no
|
||||||
|
other leg found is worth keeping even when it scores poorly alone.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
rows = []
|
||||||
|
for query_id in test_ids:
|
||||||
|
dense_ids = set(legs[query_id]["dense"][0].tolist())
|
||||||
|
sparse_ids = set(legs[query_id]["sparse"][0].tolist())
|
||||||
|
for doc in rrf(legs[query_id])[:10]:
|
||||||
|
doc = int(doc)
|
||||||
|
rows.append({
|
||||||
|
"source": "both" if doc in dense_ids and doc in sparse_ids
|
||||||
|
else ("dense only" if doc in dense_ids else "sparse only"),
|
||||||
|
"relevant": qrels[query_id].get(doc, 0) > 0,
|
||||||
|
})
|
||||||
|
|
||||||
|
top10 = pd.DataFrame(rows)
|
||||||
|
print(top10.groupby("source").agg(share=("relevant", "size"), relevant=("relevant", "mean")))
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Move 3: Which Way to Move `k`
|
||||||
|
|
||||||
|
Low `k` rewards a document that one leg ranked first. High `k` rewards documents both legs found.
|
||||||
|
Corpora with about one relevant document per query tend to want low `k`; corpora with many relevant
|
||||||
|
documents tend to want high `k`. Sweep on the tuning half only.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
GRID = {"dbsf": None}
|
||||||
|
for k in (1, 2, 5, 20, 61):
|
||||||
|
for a, b in ((1, 1), (1, 2), (1, 3), (2, 1), (3, 1), (2, 4)):
|
||||||
|
GRID[f"k={k} w=({a},{b})"] = (k, (float(a), float(b)))
|
||||||
|
DEFAULT = "k=2 w=(1,1)"
|
||||||
|
|
||||||
|
|
||||||
|
def run_arm(name, ids):
|
||||||
|
setting = GRID[name]
|
||||||
|
fuse = (lambda q: dbsf(legs[q])) if setting is None else (lambda q: rrf(legs[q], *setting))
|
||||||
|
return np.array([ndcg_at_10(fuse(q), q) for q in ids])
|
||||||
|
|
||||||
|
|
||||||
|
tuning = {name: run_arm(name, tune_ids) for name in GRID}
|
||||||
|
summary = pd.Series({name: values.mean() for name, values in tuning.items()}).sort_values(ascending=False)
|
||||||
|
print(summary.head(8).round(4).to_string())
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## Move 4: When to Stop
|
||||||
|
|
||||||
|
Resampling the queries with replacement gives a 95% interval on the mean per-query gain over the
|
||||||
|
default. A setting whose interval includes zero did not beat the default; it beat this particular
|
||||||
|
sample of queries.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
def interval(gains, resamples=1000):
|
||||||
|
gains = np.asarray(gains, dtype=float)
|
||||||
|
draws = np.random.default_rng(SEED).integers(0, len(gains), size=(resamples, len(gains)))
|
||||||
|
low, high = np.percentile(gains[draws].mean(axis=1), [2.5, 97.5])
|
||||||
|
return gains.mean(), low, high
|
||||||
|
|
||||||
|
|
||||||
|
baseline = tuning[DEFAULT]
|
||||||
|
report = pd.DataFrame(
|
||||||
|
[(name, *interval(values - baseline)) for name, values in tuning.items() if name != DEFAULT],
|
||||||
|
columns=["arm", "gain", "low", "high"],
|
||||||
|
).sort_values("gain", ascending=False)
|
||||||
|
report["clears"] = report["low"] > 0
|
||||||
|
print(report.head(10).round(4).to_string(index=False))
|
||||||
|
print(f"\\nmedian interval width: {(report['high'] - report['low']).median():.4f}")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## The Decision
|
||||||
|
|
||||||
|
A rule, not a table. Take the mildest setting that clears its interval, then confirm it on the half
|
||||||
|
you held back. A gain that does not repeat on unseen queries was a property of the tuning sample.
|
||||||
|
"""),
|
||||||
|
code("""
|
||||||
|
def extremity(name):
|
||||||
|
# Distance from the default, so the mildest clearing setting wins.
|
||||||
|
if GRID[name] is None:
|
||||||
|
return float("inf") # a different method, not a milder setting
|
||||||
|
k, (a, b) = GRID[name]
|
||||||
|
return abs(np.log2(k / 2)) + abs(np.log2(a / b))
|
||||||
|
|
||||||
|
|
||||||
|
clearing = report[report["clears"]]["arm"].tolist()
|
||||||
|
if best_possible - achieved > 0.20 and not clearing:
|
||||||
|
print("Candidate ceiling is far above what fusion reaches and nothing clears: raise the "
|
||||||
|
"prefetch limit or improve a leg before tuning fusion.")
|
||||||
|
elif not clearing:
|
||||||
|
print(f"Nothing clears the interval. Keep the default ({DEFAULT}). This is a real answer.")
|
||||||
|
else:
|
||||||
|
choice = min(clearing, key=extremity)
|
||||||
|
held_out = run_arm(choice, test_ids) - run_arm(DEFAULT, test_ids)
|
||||||
|
gain, low, high = interval(held_out)
|
||||||
|
print(f"Candidate setting : {choice}")
|
||||||
|
print(f"On held-out queries: {gain:+.4f} interval [{low:+.4f}, {high:+.4f}]")
|
||||||
|
print("Deploy it." if low > 0 else "It did not repeat on held-out queries. Keep the default.")
|
||||||
|
"""),
|
||||||
|
md("""
|
||||||
|
## What This Leaves You With
|
||||||
|
|
||||||
|
A setting you can defend, or the default and a reason. Both are results. Two things to re-run
|
||||||
|
rather than assume: the interval widens as your labeled set shrinks, and the winning setting can
|
||||||
|
change when you change the prefetch `limit`, because fusion only ever reorders what the legs
|
||||||
|
returned.
|
||||||
|
|
||||||
|
The measurements behind the defaults here, across five corpora, are in
|
||||||
|
[How to Tune Hybrid Search in Qdrant](https://qdrant.tech/articles/how-to-tune-hybrid-search/).
|
||||||
|
"""),
|
||||||
|
]
|
||||||
|
|
||||||
|
NOTEBOOK = {
|
||||||
|
"cells": CELLS,
|
||||||
|
"metadata": {
|
||||||
|
"colab": {"provenance": []},
|
||||||
|
"kernelspec": {"display_name": "Python 3", "name": "python3"},
|
||||||
|
"language_info": {"name": "python"},
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 0,
|
||||||
|
}
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
OUT.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
OUT.write_text(json.dumps(NOTEBOOK, indent=1))
|
||||||
|
print(f"wrote {OUT} ({len(CELLS)} cells)")
|
||||||
@@ -0,0 +1,420 @@
|
|||||||
|
{
|
||||||
|
"tie_rate_build1": {
|
||||||
|
"rrf_k1_w1-1": 0.07658815132048538,
|
||||||
|
"rrf_k1_w1-2": 0.04525339043540329,
|
||||||
|
"rrf_k1_w1-3": 0.024125624553890078,
|
||||||
|
"rrf_k1_w2-1": 0.04089935760171306,
|
||||||
|
"rrf_k1_w3-1": 0.020342612419700215,
|
||||||
|
"rrf_k1_w2-4": 0.04525339043540329,
|
||||||
|
"rrf_k2_w1-1": 0.07801570306923626,
|
||||||
|
"rrf_k2_w1-2": 0.05039257673090649,
|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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||||||
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|
||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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||||||
|
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||||||
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|
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|
||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"clearing_arms": [
|
||||||
|
"rrf_k5_w1-1",
|
||||||
|
"rrf_k5_w1-2",
|
||||||
|
"rrf_k5_w2-4",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k20_w1-2"
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,419 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
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||||||
|
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||||||
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||||||
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||||||
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||||||
|
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||||||
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||||||
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||||||
|
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||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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||||||
|
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|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
|
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|
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||||||
|
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|
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||||||
|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k5_w2-1",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,420 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"rrf_k2_w2-1",
|
||||||
|
"rrf_k2_w3-1",
|
||||||
|
"rrf_k1_w2-1",
|
||||||
|
"rrf_k1_w3-1",
|
||||||
|
"rrf_k20_w1-3"
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,602 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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||||||
|
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||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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||||||
|
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|
||||||
|
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|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
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||||||
|
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|
||||||
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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||||||
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||||||
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|
||||||
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||||||
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||||||
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|
||||||
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|
||||||
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||||||
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|
||||||
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|
||||||
|
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|
||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,433 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
"rrf_k1_w2-4": {
|
||||||
|
"mean": -0.0025330411707959327,
|
||||||
|
"low": -0.007646257504954509,
|
||||||
|
"high": 0.002525764250959846,
|
||||||
|
"half_width": 0.005086010877957178,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k1_w3-1": {
|
||||||
|
"mean": -0.015671564571848175,
|
||||||
|
"low": -0.022775295235139142,
|
||||||
|
"high": -0.008635297968260318,
|
||||||
|
"half_width": 0.007069998633439412,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w1-1": {
|
||||||
|
"mean": 0.03166751678471227,
|
||||||
|
"low": 0.024933644143885735,
|
||||||
|
"high": 0.03889705796982621,
|
||||||
|
"half_width": 0.006981706912970238,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w1-2": {
|
||||||
|
"mean": 0.03493339339673267,
|
||||||
|
"low": 0.02750236221078256,
|
||||||
|
"high": 0.043146257157102,
|
||||||
|
"half_width": 0.007821947473159719,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w1-3": {
|
||||||
|
"mean": 0.032187083169047316,
|
||||||
|
"low": 0.023762730311959152,
|
||||||
|
"high": 0.040677694338715265,
|
||||||
|
"half_width": 0.008457482013378056,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w2-1": {
|
||||||
|
"mean": 0.035879320378541156,
|
||||||
|
"low": 0.028068770924081467,
|
||||||
|
"high": 0.044040214724719355,
|
||||||
|
"half_width": 0.007985721900318944,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w2-4": {
|
||||||
|
"mean": 0.03363528663102809,
|
||||||
|
"low": 0.024909098955336346,
|
||||||
|
"high": 0.04297548113428083,
|
||||||
|
"half_width": 0.009033191089472243,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k20_w3-1": {
|
||||||
|
"mean": 0.03614627334849881,
|
||||||
|
"low": 0.02750454008370346,
|
||||||
|
"high": 0.044909943341983324,
|
||||||
|
"half_width": 0.008702701629139933,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k2_w1-2": {
|
||||||
|
"mean": 0.0010651235342690102,
|
||||||
|
"low": -0.003681058884806809,
|
||||||
|
"high": 0.0057246048470925015,
|
||||||
|
"half_width": 0.004702831865949655,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k2_w1-3": {
|
||||||
|
"mean": 0.0010245777599071242,
|
||||||
|
"low": -0.005290910349519423,
|
||||||
|
"high": 0.007036805833640872,
|
||||||
|
"half_width": 0.0061638580915801475,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k2_w2-1": {
|
||||||
|
"mean": -0.005601659366308205,
|
||||||
|
"low": -0.009830553821803326,
|
||||||
|
"high": -0.001117507909421838,
|
||||||
|
"half_width": 0.004356522956190744,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k2_w2-4": {
|
||||||
|
"mean": 0.004413527735863278,
|
||||||
|
"low": -9.372313774938445e-05,
|
||||||
|
"high": 0.008826693754111003,
|
||||||
|
"half_width": 0.004460208445930194,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k2_w3-1": {
|
||||||
|
"mean": -0.007576997256313832,
|
||||||
|
"low": -0.013738412461731435,
|
||||||
|
"high": -0.0013660682719942386,
|
||||||
|
"half_width": 0.0061861720948685976,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w1-1": {
|
||||||
|
"mean": 0.008167901222788843,
|
||||||
|
"low": 0.005924866336863484,
|
||||||
|
"high": 0.010672434165203536,
|
||||||
|
"half_width": 0.002373783914170026,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w1-2": {
|
||||||
|
"mean": 0.013639375472078549,
|
||||||
|
"low": 0.009202108143191879,
|
||||||
|
"high": 0.01815436580111953,
|
||||||
|
"half_width": 0.004476128828963826,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w1-3": {
|
||||||
|
"mean": 0.015620476043567607,
|
||||||
|
"low": 0.010866177247206591,
|
||||||
|
"high": 0.020577432214804032,
|
||||||
|
"half_width": 0.00485562748379872,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w2-1": {
|
||||||
|
"mean": 0.010073685048439564,
|
||||||
|
"low": 0.0055379117481071105,
|
||||||
|
"high": 0.015220451441509979,
|
||||||
|
"half_width": 0.004841269846701434,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w2-4": {
|
||||||
|
"mean": 0.025351486582550153,
|
||||||
|
"low": 0.01963719454414564,
|
||||||
|
"high": 0.031535137325069296,
|
||||||
|
"half_width": 0.005948971390461829,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k5_w3-1": {
|
||||||
|
"mean": 0.01072557131607097,
|
||||||
|
"low": 0.004948951010304209,
|
||||||
|
"high": 0.016907730344941682,
|
||||||
|
"half_width": 0.005979389667318737,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w1-1": {
|
||||||
|
"mean": 0.03602098377536381,
|
||||||
|
"low": 0.02709304948893049,
|
||||||
|
"high": 0.04533146098756151,
|
||||||
|
"half_width": 0.009119205749315509,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w1-2": {
|
||||||
|
"mean": 0.032329368024012796,
|
||||||
|
"low": 0.023390482060427067,
|
||||||
|
"high": 0.04155925156673052,
|
||||||
|
"half_width": 0.009084384753151728,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w1-3": {
|
||||||
|
"mean": 0.0288627830810352,
|
||||||
|
"low": 0.019609617977011766,
|
||||||
|
"high": 0.03813231476170846,
|
||||||
|
"half_width": 0.009261348392348347,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w2-1": {
|
||||||
|
"mean": 0.03575735083664481,
|
||||||
|
"low": 0.026185238249609673,
|
||||||
|
"high": 0.045493498097021995,
|
||||||
|
"half_width": 0.009654129923706161,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w2-4": {
|
||||||
|
"mean": 0.03129971735030443,
|
||||||
|
"low": 0.02229565842373485,
|
||||||
|
"high": 0.0408665819903541,
|
||||||
|
"half_width": 0.009285461783309627,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"rrf_k61_w3-1": {
|
||||||
|
"mean": 0.034372734386247814,
|
||||||
|
"low": 0.024571099580303006,
|
||||||
|
"high": 0.044310763944094674,
|
||||||
|
"half_width": 0.009869832181895834,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"sparse_only": {
|
||||||
|
"mean": -0.015629565687052947,
|
||||||
|
"low": -0.02621770409315238,
|
||||||
|
"high": -0.005260478909026861,
|
||||||
|
"half_width": 0.01047861259206276,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w1-1": {
|
||||||
|
"mean": 0.03828629409890931,
|
||||||
|
"low": 0.029647179634253555,
|
||||||
|
"high": 0.04708266027432365,
|
||||||
|
"half_width": 0.008717740320035049,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w1-2": {
|
||||||
|
"mean": 0.027929491972728367,
|
||||||
|
"low": 0.01942592514776902,
|
||||||
|
"high": 0.035682850175572725,
|
||||||
|
"half_width": 0.008128462513901853,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w1-3": {
|
||||||
|
"mean": 0.017795327882595025,
|
||||||
|
"low": 0.00914880839230222,
|
||||||
|
"high": 0.025619923290712707,
|
||||||
|
"half_width": 0.008235557449205243,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w2-1": {
|
||||||
|
"mean": 0.02485877677558061,
|
||||||
|
"low": 0.01669218432020627,
|
||||||
|
"high": 0.033535666725218266,
|
||||||
|
"half_width": 0.008421741202505998,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w2-4": {
|
||||||
|
"mean": 0.027929491972728367,
|
||||||
|
"low": 0.01942592514776902,
|
||||||
|
"high": 0.035682850175572725,
|
||||||
|
"half_width": 0.008128462513901853,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_distr_w3-1": {
|
||||||
|
"mean": 0.01071161758405796,
|
||||||
|
"low": 0.002329351742784434,
|
||||||
|
"high": 0.019457521053826227,
|
||||||
|
"half_width": 0.008564084655520896,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w1-1": {
|
||||||
|
"mean": 0.030906891097393988,
|
||||||
|
"low": 0.024085483040927495,
|
||||||
|
"high": 0.03823061872195101,
|
||||||
|
"half_width": 0.007072567840511756,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w1-2": {
|
||||||
|
"mean": 0.02213314629479027,
|
||||||
|
"low": 0.01441458016517394,
|
||||||
|
"high": 0.029628810732143972,
|
||||||
|
"half_width": 0.007607115283485016,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w1-3": {
|
||||||
|
"mean": 0.011198472697296605,
|
||||||
|
"low": 0.0029588659768859694,
|
||||||
|
"high": 0.019749556961386548,
|
||||||
|
"half_width": 0.00839534549225029,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w2-1": {
|
||||||
|
"mean": 0.015179114499766286,
|
||||||
|
"low": 0.0071007008756296935,
|
||||||
|
"high": 0.02359009646125361,
|
||||||
|
"half_width": 0.008244697792811957,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w2-4": {
|
||||||
|
"mean": 0.02213314629479027,
|
||||||
|
"low": 0.01441458016517394,
|
||||||
|
"high": 0.029628810732143972,
|
||||||
|
"half_width": 0.007607115283485016,
|
||||||
|
"n": 480
|
||||||
|
},
|
||||||
|
"unreachable_minmax_w3-1": {
|
||||||
|
"mean": 0.001380646016131356,
|
||||||
|
"low": -0.007673544672019807,
|
||||||
|
"high": 0.010232680887092605,
|
||||||
|
"half_width": 0.008953112779556207,
|
||||||
|
"n": 480
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"move1_can_fusion_help": {
|
||||||
|
"union_recall": 0.6219253272588373,
|
||||||
|
"ideal_ndcg_10": 0.9724833111880725,
|
||||||
|
"default_ndcg_10": 0.7254095560214437,
|
||||||
|
"headroom": 0.24707375516662877,
|
||||||
|
"dense_recall": 0.4783544341317294,
|
||||||
|
"sparse_recall": 0.5137209978879221
|
||||||
|
},
|
||||||
|
"move2_where_results_come_from": {
|
||||||
|
"top10_source_share": {
|
||||||
|
"both": 0.7754166666666666,
|
||||||
|
"sparse_only": 0.11520833333333333,
|
||||||
|
"dense_only": 0.109375
|
||||||
|
},
|
||||||
|
"top10_relevant_source_share": {
|
||||||
|
"both": 0.862607338017174,
|
||||||
|
"sparse_only": 0.0712984647410877,
|
||||||
|
"dense_only": 0.06609419724173822
|
||||||
|
},
|
||||||
|
"unique_relevant_per_query": {
|
||||||
|
"dense": 36.079331941544886,
|
||||||
|
"sparse": 38.45720250521921
|
||||||
|
},
|
||||||
|
"unique_relevant_surviving_into_top10": {
|
||||||
|
"dense": 0.014697372989237357,
|
||||||
|
"sparse": 0.014874328212366322
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"move3_which_way_to_move_k": {
|
||||||
|
"k_sweep_equal_weights": {
|
||||||
|
"1": 0.7231579543911469,
|
||||||
|
"2": 0.7254095560214437,
|
||||||
|
"5": 0.7335774572442326,
|
||||||
|
"20": 0.7570770728061561,
|
||||||
|
"61": 0.7614305397968075
|
||||||
|
},
|
||||||
|
"best_k": 61,
|
||||||
|
"span": 0.038272585405660586,
|
||||||
|
"tie_rate_top10": {
|
||||||
|
"k1": 0.143125,
|
||||||
|
"k2": 0.14208333333333334,
|
||||||
|
"k5": 0.12854166666666667,
|
||||||
|
"k20": 0.088125,
|
||||||
|
"k61": 0.04729166666666667
|
||||||
|
},
|
||||||
|
"dbsf_minus_default": 0.03828629409890938
|
||||||
|
},
|
||||||
|
"move4_when_to_stop": {
|
||||||
|
"arms_clearing": 19,
|
||||||
|
"clearing_arms": [
|
||||||
|
"rrf_k5_w1-1",
|
||||||
|
"rrf_k5_w1-2",
|
||||||
|
"rrf_k5_w2-1",
|
||||||
|
"rrf_k5_w2-4",
|
||||||
|
"rrf_k5_w1-3",
|
||||||
|
"rrf_k5_w3-1",
|
||||||
|
"rrf_k20_w1-1",
|
||||||
|
"rrf_k20_w1-2",
|
||||||
|
"rrf_k20_w2-1",
|
||||||
|
"rrf_k20_w2-4",
|
||||||
|
"rrf_k20_w3-1",
|
||||||
|
"rrf_k20_w1-3",
|
||||||
|
"rrf_k61_w1-1",
|
||||||
|
"rrf_k61_w1-2",
|
||||||
|
"rrf_k61_w2-1",
|
||||||
|
"rrf_k61_w2-4",
|
||||||
|
"rrf_k61_w1-3",
|
||||||
|
"rrf_k61_w3-1"
|
||||||
|
],
|
||||||
|
"dbsf_clears": true,
|
||||||
|
"nominal_winner": "dbsf",
|
||||||
|
"prescription": "rrf_k5_w1-1",
|
||||||
|
"median_interval_width": 0.01316407161905031
|
||||||
|
}
|
||||||
|
}
|
||||||
Executable
+25
@@ -0,0 +1,25 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
# Fetch the five raw corpora into data/raw/. Pinned URLs; SHA256 is recorded by T1.
|
||||||
|
set -euo pipefail
|
||||||
|
cd "$(dirname "$0")/data/raw"
|
||||||
|
|
||||||
|
BEIR=https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets
|
||||||
|
WANDS_SHA=3b74dcf4ba29ab8ff3e6a50b5b09fc627cb882b5
|
||||||
|
CSN_SHA=bd0cf261e357a3eb5c8fba490d23ec1a1cd59555
|
||||||
|
|
||||||
|
fetch() { # fetch <url> <outfile>
|
||||||
|
if [ -s "$2" ]; then echo "have $2"; return; fi
|
||||||
|
echo "get $2"
|
||||||
|
curl -fsSL -C - -o "$2" "$1"
|
||||||
|
}
|
||||||
|
|
||||||
|
fetch "$BEIR/scifact.zip" scifact.zip
|
||||||
|
fetch "$BEIR/arguana.zip" arguana.zip
|
||||||
|
fetch "https://raw.githubusercontent.com/wayfair/WANDS/$WANDS_SHA/dataset/product.csv" wands_product.csv
|
||||||
|
fetch "https://raw.githubusercontent.com/wayfair/WANDS/$WANDS_SHA/dataset/query.csv" wands_query.csv
|
||||||
|
fetch "https://raw.githubusercontent.com/wayfair/WANDS/$WANDS_SHA/dataset/label.csv" wands_label.csv
|
||||||
|
fetch "https://huggingface.co/datasets/code-search-net/code_search_net/resolve/$CSN_SHA/python/train-00000-of-00001.parquet" csn_python_train.parquet
|
||||||
|
fetch "$BEIR/dbpedia-entity.zip" dbpedia-entity.zip
|
||||||
|
|
||||||
|
echo "--- sizes ---"
|
||||||
|
ls -l
|
||||||
@@ -0,0 +1,820 @@
|
|||||||
|
"""E7: the RAM boundary and the price of recovery.
|
||||||
|
|
||||||
|
The full DBPedia-entity BEIR corpus, embedded once, ingested into one
|
||||||
|
collection, then run under two container memory limits. This file owns only
|
||||||
|
E7. It imports the harness for the corpus loader and the embedding model so
|
||||||
|
E7 and E1 to E6 share one definition of both; it writes nothing that E1 to E6
|
||||||
|
read, and it runs against its own container and its own storage volume.
|
||||||
|
|
||||||
|
Phase 1 tasks, in order. `e7_phase1.sh` chains them unattended.
|
||||||
|
|
||||||
|
python e7.py corpus stream the zip, write frames, measure avg_len
|
||||||
|
python e7.py embed the embedding pass, resumable
|
||||||
|
python e7.py queries the 400 test queries, embedded once
|
||||||
|
python e7.py up 10g start the E7 container at a memory limit
|
||||||
|
python e7.py ingest create the collection and upload
|
||||||
|
python e7.py ingest 100000 smoke the same path over a slice, to prove it
|
||||||
|
python e7.py warm one pass of the query set
|
||||||
|
python e7.py mem steady-10g the memory measurements, named by lifecycle point
|
||||||
|
|
||||||
|
The cell list E7a and E7b run is pre-registered in `e7_cells.py`.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
import time
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
import numpy as np
|
||||||
|
import pandas as pd
|
||||||
|
|
||||||
|
from harness import CACHE, ROOT
|
||||||
|
from harness import corpora as C
|
||||||
|
from harness import qio
|
||||||
|
|
||||||
|
E7 = ROOT / "e7"
|
||||||
|
E7.mkdir(parents=True, exist_ok=True)
|
||||||
|
|
||||||
|
NAME = "dbpedia-full"
|
||||||
|
COLLECTION = "dbpedia_full"
|
||||||
|
CONTAINER = "e7-qdrant"
|
||||||
|
VOLUME = "e7-qdrant-storage"
|
||||||
|
IMAGE = "qdrant/qdrant:v1.19.0"
|
||||||
|
PORT = 6370
|
||||||
|
URL = f"http://localhost:{PORT}"
|
||||||
|
|
||||||
|
DOCS = CACHE / f"{NAME}_corpus.parquet"
|
||||||
|
QUERIES = CACHE / f"{NAME}_queries.parquet"
|
||||||
|
QRELS = CACHE / f"{NAME}_qrels.parquet"
|
||||||
|
DENSE = CACHE / f"{NAME}_dense.npy"
|
||||||
|
QDENSE = CACHE / f"{NAME}_qdense.npy"
|
||||||
|
PROGRESS = CACHE / f"{NAME}_dense.progress.json"
|
||||||
|
CORPUS_JSON = E7 / "corpus.json"
|
||||||
|
|
||||||
|
EMBED_BATCH = 256
|
||||||
|
UPLOAD_BATCH = 512
|
||||||
|
|
||||||
|
|
||||||
|
def _write(path: Path, payload: dict) -> None:
|
||||||
|
path.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n")
|
||||||
|
print(f"wrote {path.relative_to(ROOT)}")
|
||||||
|
|
||||||
|
|
||||||
|
def _sh(*args: str) -> str:
|
||||||
|
return subprocess.run(args, capture_output=True, text=True, check=True).stdout.strip()
|
||||||
|
|
||||||
|
|
||||||
|
# ------------------------------------------------------------------- corpus
|
||||||
|
|
||||||
|
|
||||||
|
CHUNK = 250_000
|
||||||
|
|
||||||
|
|
||||||
|
def corpus() -> None:
|
||||||
|
"""Write the whole 4.6M-document corpus, not the 100k sample E1 to E6 use.
|
||||||
|
|
||||||
|
The zip is read in one streaming pass into parquet row groups. `load_beir`
|
||||||
|
holds every document in a Python list, which is 3 GB of strings here and
|
||||||
|
twice that while the frame is built, so only its qrels reader, its
|
||||||
|
field recipe and its answerable-query rule are reused.
|
||||||
|
"""
|
||||||
|
import zipfile
|
||||||
|
|
||||||
|
import pyarrow as pa
|
||||||
|
import pyarrow.parquet as pq
|
||||||
|
|
||||||
|
started = time.time()
|
||||||
|
path = C.RAW / "dbpedia-entity.zip"
|
||||||
|
schema = pa.schema(
|
||||||
|
[("point_id", pa.int64()), ("doc_id", pa.string()), ("text", pa.string())]
|
||||||
|
)
|
||||||
|
doc_ids: list[str] = []
|
||||||
|
with zipfile.ZipFile(path) as archive:
|
||||||
|
corpus_member, queries_member, qrels_member = C._beir_members(archive, "dbpedia-entity")
|
||||||
|
qrels = C._read_qrels(archive, qrels_member)
|
||||||
|
with archive.open(queries_member) as handle:
|
||||||
|
queries = pd.DataFrame(
|
||||||
|
[
|
||||||
|
{"query_id": str(row["_id"]), "text": row["text"]}
|
||||||
|
for row in map(json.loads, C.io.TextIOWrapper(handle, "utf-8"))
|
||||||
|
]
|
||||||
|
)
|
||||||
|
with pq.ParquetWriter(DOCS, schema) as writer, archive.open(corpus_member) as handle:
|
||||||
|
batch: list[tuple[str, str]] = []
|
||||||
|
for line in C.io.TextIOWrapper(handle, "utf-8"):
|
||||||
|
row = json.loads(line)
|
||||||
|
batch.append(
|
||||||
|
(
|
||||||
|
str(row["_id"]),
|
||||||
|
f"{row.get('title', '')} {row.get('text', '')}".strip(),
|
||||||
|
)
|
||||||
|
)
|
||||||
|
if len(batch) == CHUNK:
|
||||||
|
_flush(writer, schema, batch, len(doc_ids))
|
||||||
|
doc_ids.extend(d for d, _ in batch)
|
||||||
|
batch = []
|
||||||
|
print(f" {len(doc_ids)} documents", flush=True)
|
||||||
|
if batch:
|
||||||
|
_flush(writer, schema, batch, len(doc_ids))
|
||||||
|
doc_ids.extend(d for d, _ in batch)
|
||||||
|
|
||||||
|
# Same rule as load_beir: a query whose relevant documents are all missing
|
||||||
|
# scores zero under every arm, so it is dropped rather than left to pad.
|
||||||
|
qrels = qrels[qrels["doc_id"].isin(set(doc_ids))].reset_index(drop=True)
|
||||||
|
answerable = set(qrels.loc[qrels["relevance"] > 0, "query_id"])
|
||||||
|
queries = queries[queries["query_id"].isin(answerable)].reset_index(drop=True)
|
||||||
|
qrels = qrels[qrels["query_id"].isin(answerable)].reset_index(drop=True)
|
||||||
|
queries.to_parquet(QUERIES, index=False)
|
||||||
|
qrels.to_parquet(QRELS, index=False)
|
||||||
|
loaded = time.time() - started
|
||||||
|
print(f"corpus written in {loaded:.0f}s, measuring avg_len", flush=True)
|
||||||
|
|
||||||
|
digest = C.hashlib.sha256("\n".join(doc_ids).encode()).hexdigest()
|
||||||
|
del doc_ids
|
||||||
|
lengths = _avg_len(len(qrels))
|
||||||
|
_write(
|
||||||
|
CORPUS_JSON,
|
||||||
|
{
|
||||||
|
"corpus": NAME,
|
||||||
|
"source": {
|
||||||
|
"file": path.name,
|
||||||
|
"url": f"{C.BEIR_BASE}/dbpedia-entity.zip",
|
||||||
|
"sha256": C.sha256(path),
|
||||||
|
"bytes": path.stat().st_size,
|
||||||
|
},
|
||||||
|
"license": "CC BY-SA 3.0",
|
||||||
|
"field_recipe": 'title + " " + text',
|
||||||
|
"docs": lengths.pop("docs"),
|
||||||
|
"queries": len(queries),
|
||||||
|
"qrels": len(qrels),
|
||||||
|
"relevant_per_query": round(
|
||||||
|
int((qrels["relevance"] > 0).sum()) / max(len(queries), 1), 4
|
||||||
|
),
|
||||||
|
"max_relevance": int(qrels["relevance"].max()),
|
||||||
|
"doc_id_sha256": digest,
|
||||||
|
**lengths,
|
||||||
|
"load_seconds": round(loaded, 1),
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def _flush(writer, schema, batch: list[tuple[str, str]], offset: int) -> None:
|
||||||
|
import pyarrow as pa
|
||||||
|
|
||||||
|
writer.write_table(
|
||||||
|
pa.Table.from_arrays(
|
||||||
|
[
|
||||||
|
pa.array(range(offset, offset + len(batch)), pa.int64()),
|
||||||
|
pa.array([d for d, _ in batch], pa.string()),
|
||||||
|
pa.array([t for _, t in batch], pa.string()),
|
||||||
|
],
|
||||||
|
schema=schema,
|
||||||
|
)
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def _avg_len(_unused: int) -> dict:
|
||||||
|
"""`measure_avg_len` over 4.6M documents, one row group per process.
|
||||||
|
|
||||||
|
The stemmer is pure Python, so processes are the only way to use more than
|
||||||
|
one core, and the totals are sums, so chunking changes nothing.
|
||||||
|
"""
|
||||||
|
import pyarrow.parquet as pq
|
||||||
|
from concurrent.futures import ProcessPoolExecutor
|
||||||
|
|
||||||
|
groups = pq.ParquetFile(DOCS).num_row_groups
|
||||||
|
stemmed = raw = docs = 0
|
||||||
|
with ProcessPoolExecutor(max_workers=10) as pool:
|
||||||
|
for part in pool.map(_avg_len_chunk, range(groups)):
|
||||||
|
stemmed += part[0]
|
||||||
|
raw += part[1]
|
||||||
|
docs += part[2]
|
||||||
|
return {
|
||||||
|
"avg_len": round(stemmed / max(docs, 1), 4),
|
||||||
|
"avg_raw_tokens": round(raw / max(docs, 1), 4),
|
||||||
|
"docs": docs,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def _avg_len_chunk(group: int) -> tuple[int, int, int]:
|
||||||
|
import pyarrow.parquet as pq
|
||||||
|
from fastembed.common.utils import remove_non_alphanumeric
|
||||||
|
|
||||||
|
texts = pq.ParquetFile(DOCS).read_row_group(group, columns=["text"]).column("text").to_pylist()
|
||||||
|
bm25 = qio.bm25_model(256.0)
|
||||||
|
stemmed = raw = 0
|
||||||
|
for text in texts:
|
||||||
|
tokens = bm25.tokenizer.tokenize(remove_non_alphanumeric(text))
|
||||||
|
raw += len(tokens)
|
||||||
|
stemmed += len(bm25._stem(tokens))
|
||||||
|
return stemmed, raw, len(texts)
|
||||||
|
|
||||||
|
|
||||||
|
# ------------------------------------------------------------------ embedding
|
||||||
|
|
||||||
|
|
||||||
|
def embed() -> None:
|
||||||
|
"""Write float32 vectors straight into a memmap, resuming where it stopped.
|
||||||
|
|
||||||
|
7.1 GB of vectors will not sit in a Python list, and the pass runs for
|
||||||
|
hours, so the array on disk is the progress record.
|
||||||
|
"""
|
||||||
|
import pyarrow.parquet as pq
|
||||||
|
from fastembed import TextEmbedding
|
||||||
|
|
||||||
|
reader = pq.ParquetFile(DOCS)
|
||||||
|
total = reader.metadata.num_rows
|
||||||
|
done = 0
|
||||||
|
if PROGRESS.exists():
|
||||||
|
saved = json.loads(PROGRESS.read_text())
|
||||||
|
# Resuming on a row count alone would attach a stale run's vectors to a
|
||||||
|
# rebuilt corpus's doc_ids, and every check downstream would pass. The
|
||||||
|
# corpus digest, the model and the dimension have to match too.
|
||||||
|
# A progress file with no identity was written by the pass that
|
||||||
|
# introduced this check, so it is accepted once and rewritten with one.
|
||||||
|
if "identity" in saved and saved["identity"] != _identity():
|
||||||
|
raise SystemExit(
|
||||||
|
f"{PROGRESS.name} was written for a different corpus or model. "
|
||||||
|
f"Delete it and {DENSE.name} to start the pass again."
|
||||||
|
)
|
||||||
|
done = saved["rows"]
|
||||||
|
if done >= total:
|
||||||
|
print(f"embedded {total} already")
|
||||||
|
return
|
||||||
|
|
||||||
|
vectors = np.lib.format.open_memmap(
|
||||||
|
DENSE,
|
||||||
|
mode="r+" if DENSE.exists() else "w+",
|
||||||
|
dtype=np.float32,
|
||||||
|
shape=(total, qio.DENSE_DIM),
|
||||||
|
)
|
||||||
|
model = TextEmbedding(qio.DENSE_MODEL)
|
||||||
|
started, at, group_start = time.time(), done, 0
|
||||||
|
print(f"embedding {total - done} of {total} from row {done}", flush=True)
|
||||||
|
for group in range(reader.num_row_groups):
|
||||||
|
rows = reader.metadata.row_group(group).num_rows
|
||||||
|
if group_start + rows <= done:
|
||||||
|
group_start += rows
|
||||||
|
continue
|
||||||
|
# One row group at a time: 4.6M documents of text will not sit in
|
||||||
|
# memory beside a 7.1 GB vector array for the hours this takes.
|
||||||
|
texts = reader.read_row_group(group, columns=["text"]).column("text").to_pylist()
|
||||||
|
for offset in range(at - group_start, rows, EMBED_BATCH):
|
||||||
|
stop = min(offset + EMBED_BATCH, rows)
|
||||||
|
batch = texts[offset:stop]
|
||||||
|
vectors[group_start + offset : group_start + stop] = np.asarray(
|
||||||
|
list(model.embed(batch, batch_size=EMBED_BATCH)), np.float32
|
||||||
|
)
|
||||||
|
at = group_start + stop
|
||||||
|
if (stop // EMBED_BATCH) % 100 == 0 or stop == rows:
|
||||||
|
vectors.flush()
|
||||||
|
_checkpoint(at, total, done, started)
|
||||||
|
group_start += rows
|
||||||
|
vectors.flush()
|
||||||
|
_checkpoint(at, total, done, started)
|
||||||
|
|
||||||
|
|
||||||
|
def _checkpoint(at: int, total: int, done: int, started: float) -> None:
|
||||||
|
rate = (at - done) / max(time.time() - started, 1e-9)
|
||||||
|
PROGRESS.write_text(
|
||||||
|
json.dumps(
|
||||||
|
{
|
||||||
|
"rows": at,
|
||||||
|
"total": total,
|
||||||
|
"docs_per_second": round(rate, 1),
|
||||||
|
"identity": _identity(),
|
||||||
|
}
|
||||||
|
)
|
||||||
|
)
|
||||||
|
left = (total - at) / max(rate, 1e-9)
|
||||||
|
print(f" {at}/{total} {rate:.0f} docs/s {left / 60:.0f} min left", flush=True)
|
||||||
|
|
||||||
|
|
||||||
|
def _identity() -> dict:
|
||||||
|
"""What the vectors on disk have to agree with: which documents, in which
|
||||||
|
order, through which model. Carried by the progress file and asserted again
|
||||||
|
at ingest, because a mismatch produces a collection that looks correct."""
|
||||||
|
meta = json.loads(CORPUS_JSON.read_text())
|
||||||
|
return {
|
||||||
|
"doc_id_sha256": meta["doc_id_sha256"],
|
||||||
|
"docs": meta["docs"],
|
||||||
|
"model": qio.DENSE_MODEL,
|
||||||
|
"dim": qio.DENSE_DIM,
|
||||||
|
"source_sha256": meta["source"]["sha256"],
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def queries() -> None:
|
||||||
|
"""The 400 test queries, embedded once with the corpus model."""
|
||||||
|
from fastembed import TextEmbedding
|
||||||
|
|
||||||
|
frame = pd.read_parquet(QUERIES)
|
||||||
|
model = TextEmbedding(qio.DENSE_MODEL)
|
||||||
|
vectors = np.asarray(
|
||||||
|
list(model.embed([str(t) for t in frame["text"]], batch_size=EMBED_BATCH)), np.float32
|
||||||
|
)
|
||||||
|
np.save(QDENSE, vectors)
|
||||||
|
print(f"wrote {QDENSE.name} {vectors.shape}")
|
||||||
|
|
||||||
|
|
||||||
|
# ------------------------------------------------------------------ container
|
||||||
|
|
||||||
|
|
||||||
|
def up(limit: str = "14g") -> None:
|
||||||
|
"""Start the E7 container at a memory limit, on its own volume and port.
|
||||||
|
|
||||||
|
The five E1 to E6 collections live in `fusion-qdrant` and are not touched.
|
||||||
|
Recreating this container at a different limit keeps the collection,
|
||||||
|
because the storage is a named volume.
|
||||||
|
"""
|
||||||
|
# A graceful stop first: `rm -f` is a crash shutdown, and reopening the
|
||||||
|
# volume would then start with WAL recovery and an optimizer pass that
|
||||||
|
# contaminate the regime the new limit is supposed to isolate.
|
||||||
|
subprocess.run(["docker", "stop", "-t", "120", CONTAINER], capture_output=True)
|
||||||
|
subprocess.run(["docker", "rm", "-f", CONTAINER], capture_output=True)
|
||||||
|
_sh("docker", "volume", "create", VOLUME)
|
||||||
|
_sh(
|
||||||
|
"docker", "run", "-d",
|
||||||
|
"--name", CONTAINER,
|
||||||
|
"--memory", limit,
|
||||||
|
# Match the limit so the container cannot page out to the VM's swap and
|
||||||
|
# hide the boundary the experiment is built to measure.
|
||||||
|
"--memory-swap", limit,
|
||||||
|
"-p", f"{PORT}:6333",
|
||||||
|
"-p", f"{PORT + 1}:6334",
|
||||||
|
"-v", f"{VOLUME}:/qdrant/storage",
|
||||||
|
IMAGE,
|
||||||
|
)
|
||||||
|
for _ in range(60):
|
||||||
|
try:
|
||||||
|
_client().get_collections()
|
||||||
|
print(f"{CONTAINER} up at {limit}, {URL}")
|
||||||
|
return
|
||||||
|
except Exception:
|
||||||
|
time.sleep(1)
|
||||||
|
raise SystemExit(f"{CONTAINER} did not answer on {URL}")
|
||||||
|
|
||||||
|
|
||||||
|
def cold(limit: str = "4g") -> None:
|
||||||
|
"""Start a cell from a controlled cache state, which is the only way a
|
||||||
|
memory limit means anything here.
|
||||||
|
|
||||||
|
Page cache is charged to the cgroup that first faults a page in, and the
|
||||||
|
charge survives the container that made it. Recreating a container over a
|
||||||
|
warm volume therefore hands it gigabytes of resident pages it is never
|
||||||
|
billed for: measured at 4 GiB, the cgroup reported 32 MB of file cache
|
||||||
|
while the process held 9.49 GB, the limit was never reached, and 400
|
||||||
|
queries ran in 2.9 s instead of 158 s. Dropping the cache with the files
|
||||||
|
still mapped does not help either, because `drop_caches` frees only clean
|
||||||
|
unmapped pages. The server has to stop first.
|
||||||
|
"""
|
||||||
|
subprocess.run(["docker", "stop", "-t", "120", CONTAINER], capture_output=True)
|
||||||
|
before = _vm_cache()
|
||||||
|
_sh(
|
||||||
|
"docker", "run", "--rm", "--privileged", "--pid=host", "alpine",
|
||||||
|
"sh", "-c", "sync; echo 3 > /proc/sys/vm/drop_caches",
|
||||||
|
)
|
||||||
|
after = _vm_cache()
|
||||||
|
print(f"VM page cache {before / 1e9:.2f} GB -> {after / 1e9:.2f} GB")
|
||||||
|
if after > 2e9:
|
||||||
|
raise SystemExit(f"page cache still {after / 1e9:.2f} GB; something is holding the files")
|
||||||
|
# The host layer too, where it is permitted. macOS caches the VM's disk
|
||||||
|
# image, so a guest-only drop still leaves reads that never reach the SSD.
|
||||||
|
# `purge` needs sudo and may refuse without a terminal, so the outcome is
|
||||||
|
# recorded rather than assumed either way.
|
||||||
|
host = subprocess.run(["sudo", "-n", "purge"], capture_output=True, text=True)
|
||||||
|
host_dropped = host.returncode == 0
|
||||||
|
print(f"host page cache dropped: {host_dropped}")
|
||||||
|
up(limit)
|
||||||
|
_wait_ready()
|
||||||
|
_write(
|
||||||
|
E7 / f"cold-{limit}.json",
|
||||||
|
{
|
||||||
|
"limit": limit,
|
||||||
|
"vm_cache_before_bytes": before,
|
||||||
|
"vm_cache_after_bytes": after,
|
||||||
|
"host_purge_ran": host_dropped,
|
||||||
|
"host_swap_after": _sh("sysctl", "-n", "vm.swapusage"),
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def _vm_cache() -> int:
|
||||||
|
"""`Cached` in the VM, read from a throwaway container so it can be taken
|
||||||
|
while the E7 container is stopped."""
|
||||||
|
out = _sh("docker", "run", "--rm", "alpine", "awk", "/^Cached:/{print $2*1024}", "/proc/meminfo")
|
||||||
|
return int(out)
|
||||||
|
|
||||||
|
|
||||||
|
def _wait_ready(collection: str = COLLECTION, wait_seconds: int = 600) -> None:
|
||||||
|
"""Ready means it answers a real query with its own shard active.
|
||||||
|
|
||||||
|
The status field is not the test. A collection whose shard reports Active
|
||||||
|
and which serves a query can report `grey`, and waiting for the literal
|
||||||
|
`green` polled a perfectly healthy collection for twenty minutes.
|
||||||
|
"""
|
||||||
|
import numpy as np
|
||||||
|
from qdrant_client import models
|
||||||
|
|
||||||
|
conn = _client()
|
||||||
|
probe = np.load(QDENSE)[0].tolist()
|
||||||
|
deadline = time.time() + wait_seconds
|
||||||
|
while time.time() < deadline:
|
||||||
|
try:
|
||||||
|
info = conn.get_collection(collection)
|
||||||
|
shards = conn.collection_cluster_info(collection).local_shards
|
||||||
|
conn.query_points(collection, query=probe, using="dense", limit=1)
|
||||||
|
# Compare enum values, not their repr. `str(state)` is "Active",
|
||||||
|
# not "ReplicaState.ACTIVE", and guessing that spelling wrong made
|
||||||
|
# this poll a healthy collection until it was killed.
|
||||||
|
if shards and all(s.state == models.ReplicaState.ACTIVE for s in shards):
|
||||||
|
print(f"{collection} ready, {info.points_count} points, status {info.status}")
|
||||||
|
return
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
time.sleep(5)
|
||||||
|
raise SystemExit(f"{collection} not ready within {wait_seconds}s")
|
||||||
|
|
||||||
|
|
||||||
|
def _client():
|
||||||
|
from qdrant_client import QdrantClient
|
||||||
|
|
||||||
|
return QdrantClient(url=URL, timeout=3600)
|
||||||
|
|
||||||
|
|
||||||
|
# -------------------------------------------------------------------- ingest
|
||||||
|
|
||||||
|
|
||||||
|
def ingest(rows: str = "all", collection: str = COLLECTION) -> None:
|
||||||
|
"""Create the collection and stream every document into it.
|
||||||
|
|
||||||
|
Dense only: a BM25 prefetch would hold about 1.5 GB of page cache the
|
||||||
|
experiment is trying to starve, so under the tight limit the evicted
|
||||||
|
structure could be the sparse index rather than the originals.
|
||||||
|
|
||||||
|
Indexing is off during the upload and switched on afterwards, so the HNSW
|
||||||
|
graph is built once instead of being rebuilt under every optimizer pass.
|
||||||
|
That also makes the build and optimization times E7b reports separable.
|
||||||
|
"""
|
||||||
|
from qdrant_client import models
|
||||||
|
|
||||||
|
docs = pd.read_parquet(DOCS, columns=["point_id", "doc_id"])
|
||||||
|
dense = np.load(DENSE, mmap_mode="r")
|
||||||
|
if len(dense) != len(docs):
|
||||||
|
raise SystemExit(f"{len(dense)} vectors against {len(docs)} documents")
|
||||||
|
# The vectors and the doc_ids they are about to be paired with have to come
|
||||||
|
# from the same corpus, checked against the digest rather than the count.
|
||||||
|
identity = _identity()
|
||||||
|
digest = C.hashlib.sha256("\n".join(docs["doc_id"]).encode()).hexdigest()
|
||||||
|
if digest != identity["doc_id_sha256"]:
|
||||||
|
raise SystemExit("the parquet's doc_ids do not match the recorded corpus digest")
|
||||||
|
if dense.dtype != np.float32 or dense.shape[1] != qio.DENSE_DIM:
|
||||||
|
raise SystemExit(f"vectors are {dense.dtype} {dense.shape}, not float32 x {qio.DENSE_DIM}")
|
||||||
|
# A row count runs the same path over a slice, which is how the upload is
|
||||||
|
# proved before the overnight one starts.
|
||||||
|
total = len(docs) if rows == "all" else int(rows)
|
||||||
|
# A slice needs only its own rows embedded; the full ingest needs all of them.
|
||||||
|
saved = json.loads(PROGRESS.read_text()) if PROGRESS.exists() else {}
|
||||||
|
if (saved.get("rows") or 0) < total:
|
||||||
|
raise SystemExit(f"the embedding pass reached {saved.get('rows')} of {total} needed")
|
||||||
|
|
||||||
|
conn = _client()
|
||||||
|
conn.delete_collection(collection)
|
||||||
|
conn.create_collection(
|
||||||
|
collection_name=collection,
|
||||||
|
vectors_config={
|
||||||
|
"dense": models.VectorParams(size=qio.DENSE_DIM, distance=models.Distance.COSINE)
|
||||||
|
},
|
||||||
|
hnsw_config=models.HnswConfigDiff(
|
||||||
|
m=qio.HNSW_M,
|
||||||
|
ef_construct=qio.HNSW_EF_CONSTRUCT,
|
||||||
|
full_scan_threshold=qio.FULL_SCAN_THRESHOLD_KB,
|
||||||
|
),
|
||||||
|
# 0 disables indexing for the upload (config.rs:253-259); the real
|
||||||
|
# threshold goes on afterwards.
|
||||||
|
optimizers_config=models.OptimizersConfigDiff(
|
||||||
|
indexing_threshold=0, default_segment_number=SEGMENTS
|
||||||
|
),
|
||||||
|
quantization_config=None,
|
||||||
|
shard_number=1,
|
||||||
|
replication_factor=1,
|
||||||
|
)
|
||||||
|
conn.create_payload_index(collection, "doc_id", field_schema=models.PayloadSchemaType.KEYWORD)
|
||||||
|
|
||||||
|
point_ids = docs["point_id"].to_numpy()
|
||||||
|
doc_ids = list(docs["doc_id"])
|
||||||
|
started = time.time()
|
||||||
|
for start in range(0, total, UPLOAD_BATCH):
|
||||||
|
stop = min(start + UPLOAD_BATCH, total)
|
||||||
|
conn.upsert(
|
||||||
|
collection,
|
||||||
|
points=[
|
||||||
|
models.PointStruct(
|
||||||
|
id=int(point_ids[i]),
|
||||||
|
vector={"dense": dense[i].tolist()},
|
||||||
|
payload={"doc_id": doc_ids[i]},
|
||||||
|
)
|
||||||
|
for i in range(start, stop)
|
||||||
|
],
|
||||||
|
wait=False,
|
||||||
|
)
|
||||||
|
if stop % (UPLOAD_BATCH * 200) == 0 or stop == total:
|
||||||
|
rate = stop / max(time.time() - started, 1e-9)
|
||||||
|
print(f" {stop}/{total} {rate:.0f} docs/s", flush=True)
|
||||||
|
upload_seconds = time.time() - started
|
||||||
|
|
||||||
|
# `wait=False` returns before a batch is applied, so the count is the proof
|
||||||
|
# that nothing was dropped, and it has to be true before indexing starts.
|
||||||
|
deadline = time.time() + 1800
|
||||||
|
while (conn.get_collection(collection).points_count or 0) < total:
|
||||||
|
if time.time() > deadline:
|
||||||
|
raise SystemExit(
|
||||||
|
f"only {conn.get_collection(collection).points_count} of {total} points landed"
|
||||||
|
)
|
||||||
|
time.sleep(10)
|
||||||
|
|
||||||
|
conn.update_collection(
|
||||||
|
collection,
|
||||||
|
optimizers_config=models.OptimizersConfigDiff(
|
||||||
|
indexing_threshold=qio.INDEXING_THRESHOLD_KB
|
||||||
|
),
|
||||||
|
)
|
||||||
|
indexed = time.time()
|
||||||
|
stats = _wait_green(conn, collection, total)
|
||||||
|
_write(
|
||||||
|
E7 / ("ingest.json" if rows == "all" else f"ingest-{rows}.json"),
|
||||||
|
{
|
||||||
|
"collection": collection,
|
||||||
|
"container": CONTAINER,
|
||||||
|
"memory_limit": _limit(),
|
||||||
|
"documents": total,
|
||||||
|
"segments": SEGMENTS,
|
||||||
|
"vectors": "dense only, no sparse prefetch",
|
||||||
|
"upload_seconds": round(upload_seconds, 1),
|
||||||
|
"index_seconds": round(time.time() - indexed, 1),
|
||||||
|
**stats,
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
SEGMENTS = 7
|
||||||
|
|
||||||
|
|
||||||
|
def _wait_green(conn, collection: str, expected: int, wait_seconds: int = 21600) -> dict:
|
||||||
|
"""Green, every point present, every vector indexed, and the count settled.
|
||||||
|
|
||||||
|
Failing on a deadline rather than looping forever, because this runs
|
||||||
|
unattended and a stuck optimizer should end the night with an error rather
|
||||||
|
than with a script that is still sleeping in the morning.
|
||||||
|
"""
|
||||||
|
from qdrant_client import models
|
||||||
|
|
||||||
|
deadline = time.time() + wait_seconds
|
||||||
|
settled, previous = 0, -1
|
||||||
|
while time.time() < deadline:
|
||||||
|
info = conn.get_collection(collection)
|
||||||
|
indexed = info.indexed_vectors_count or 0
|
||||||
|
settled = settled + 1 if indexed == previous else 0
|
||||||
|
previous = indexed
|
||||||
|
if (
|
||||||
|
info.status == models.CollectionStatus.GREEN
|
||||||
|
and info.points_count == expected
|
||||||
|
and indexed >= expected
|
||||||
|
and settled >= 3
|
||||||
|
):
|
||||||
|
# The configuration is recorded with the counts, so a later run can
|
||||||
|
# show it measured the graph and placement it says it measured.
|
||||||
|
return {
|
||||||
|
"points_count": info.points_count,
|
||||||
|
"indexed_vectors_count": indexed,
|
||||||
|
"status": str(info.status),
|
||||||
|
"segments_count": info.segments_count,
|
||||||
|
"config": json.loads(info.config.model_dump_json()),
|
||||||
|
}
|
||||||
|
print(f" indexing {indexed}/{expected} {info.status}", flush=True)
|
||||||
|
time.sleep(30)
|
||||||
|
raise SystemExit(f"{collection} did not settle within {wait_seconds}s")
|
||||||
|
|
||||||
|
|
||||||
|
def warm(label: str = "warm", depth: str = "200", collection: str = COLLECTION) -> None:
|
||||||
|
"""One pass of the query set at the cells' candidate depth, timed.
|
||||||
|
|
||||||
|
The depth matters: a pass at `limit=10` never exercises the rescore path a
|
||||||
|
cell measures, so it would warm the wrong pages. The timing is written to
|
||||||
|
an artifact rather than printed, because a number that lives only in a
|
||||||
|
terminal cannot be checked against anything later.
|
||||||
|
"""
|
||||||
|
from qdrant_client import models
|
||||||
|
|
||||||
|
conn = _client()
|
||||||
|
vectors = np.load(QDENSE)
|
||||||
|
per_query = []
|
||||||
|
started = time.time()
|
||||||
|
for vector in vectors:
|
||||||
|
at = time.time()
|
||||||
|
conn.query_points(
|
||||||
|
collection,
|
||||||
|
query=vector.tolist(),
|
||||||
|
using="dense",
|
||||||
|
limit=int(depth),
|
||||||
|
search_params=models.SearchParams(hnsw_ef=qio.BASELINE_HNSW_EF),
|
||||||
|
)
|
||||||
|
per_query.append(time.time() - at)
|
||||||
|
total = time.time() - started
|
||||||
|
ordered = sorted(per_query)
|
||||||
|
_write(
|
||||||
|
E7 / f"pass-{label}.json",
|
||||||
|
{
|
||||||
|
"label": label,
|
||||||
|
"collection": collection,
|
||||||
|
"queries": len(vectors),
|
||||||
|
"depth": int(depth),
|
||||||
|
"hnsw_ef": qio.BASELINE_HNSW_EF,
|
||||||
|
"total_seconds": round(total, 3),
|
||||||
|
"mean_ms": round(1000 * total / len(vectors), 3),
|
||||||
|
"p50_ms": round(1000 * ordered[len(ordered) // 2], 3),
|
||||||
|
"p95_ms": round(1000 * ordered[int(len(ordered) * 0.95)], 3),
|
||||||
|
"max_ms": round(1000 * ordered[-1], 3),
|
||||||
|
"memory_limit": _limit(),
|
||||||
|
},
|
||||||
|
)
|
||||||
|
print(f"{label}: {len(vectors)} queries in {total:.1f}s at depth {depth}")
|
||||||
|
|
||||||
|
|
||||||
|
# --------------------------------------------------------------------- memory
|
||||||
|
|
||||||
|
|
||||||
|
def mem(label: str = "steady") -> None:
|
||||||
|
"""Named measurements, never one footprint.
|
||||||
|
|
||||||
|
Container RSS and the cgroup counter answer different questions: RSS is
|
||||||
|
what the process holds, `memory.current` adds the page cache the mmapped
|
||||||
|
vectors are read through, and that is the number the limit acts on.
|
||||||
|
"""
|
||||||
|
stats = _sh(
|
||||||
|
"docker", "stats", "--no-stream", "--format", "{{.MemUsage}}|{{.MemPerc}}", CONTAINER
|
||||||
|
)
|
||||||
|
# `memory.events` and the refault counters in `memory.stat` say whether the
|
||||||
|
# limit reclaimed anything, and `io.stat` says whether the reclaim turned
|
||||||
|
# into real block reads. A run that shows an OOM kill or sustained high
|
||||||
|
# pressure is dropped rather than read as a slow tier.
|
||||||
|
inside = {
|
||||||
|
key: _in_container(f"cat /sys/fs/cgroup/{key}")
|
||||||
|
for key in (
|
||||||
|
"memory.current",
|
||||||
|
"memory.peak",
|
||||||
|
"memory.max",
|
||||||
|
"memory.swap.current",
|
||||||
|
"memory.events",
|
||||||
|
"memory.events.local",
|
||||||
|
"io.stat",
|
||||||
|
)
|
||||||
|
}
|
||||||
|
stat = _in_container(
|
||||||
|
"grep -E '^(file|inactive_file|active_file|anon|slab|pagetables|sock|"
|
||||||
|
"workingset_refault_file|workingset_activate_file|pgmajfault|pgscan|pgsteal) '"
|
||||||
|
" /sys/fs/cgroup/memory.stat"
|
||||||
|
)
|
||||||
|
inside["memory.stat"] = stat
|
||||||
|
payload = {
|
||||||
|
"label": label,
|
||||||
|
"at": time.strftime("%Y-%m-%dT%H:%M:%S%z"),
|
||||||
|
"container": CONTAINER,
|
||||||
|
"docker_memory_limit": _limit(),
|
||||||
|
"docker_stats_mem_usage": stats,
|
||||||
|
"cgroup": inside,
|
||||||
|
# PID 1 is the entrypoint shell, so the server's own resident set has
|
||||||
|
# to be found by name rather than read off the init process.
|
||||||
|
"qdrant_rss_bytes": int(_in_container(
|
||||||
|
"for p in /proc/[0-9]*; do "
|
||||||
|
"if [ \"$(cat $p/comm 2>/dev/null)\" = qdrant ]; then "
|
||||||
|
"awk '/^VmRSS/{print $2*1024}' $p/status; fi; done"
|
||||||
|
) or 0),
|
||||||
|
"storage_bytes": int(_in_container("du -s --block-size=1 /qdrant/storage | cut -f1")),
|
||||||
|
"storage_apparent_bytes": int(_in_container("du -sb /qdrant/storage | cut -f1")),
|
||||||
|
"storage_breakdown": _in_container(
|
||||||
|
"du -sb /qdrant/storage/collections/*/*/* 2>/dev/null", allow_empty=True
|
||||||
|
),
|
||||||
|
# Residency is measured, not inferred from the placement label: the file
|
||||||
|
# page cache the cgroup holds, against what the vector storage occupies
|
||||||
|
# on disk. That ratio is what says a limit fits or does not.
|
||||||
|
"resident": _residency(stat),
|
||||||
|
"host": _host(),
|
||||||
|
}
|
||||||
|
path = E7 / f"memory-{label}.json"
|
||||||
|
_write(path, payload)
|
||||||
|
print(json.dumps(payload["cgroup"], indent=2))
|
||||||
|
return payload
|
||||||
|
|
||||||
|
|
||||||
|
# Qdrant keeps the originals and the quantized copy in separate files inside
|
||||||
|
# one directory per segment, so the structures the claims scope to can be sized
|
||||||
|
# from the filesystem: `matrix.dat` is the float32 originals, `quantized.data`
|
||||||
|
# the quantized copy, `vector_index-dense` the HNSW graph.
|
||||||
|
STRUCTURES = {
|
||||||
|
"originals": "segments/*/vector_storage-dense/matrix.dat",
|
||||||
|
"quantized": "segments/*/vector_storage-dense/quantized.data",
|
||||||
|
"graph": "segments/*/vector_index-dense",
|
||||||
|
"payload": "segments/*/payload_storage",
|
||||||
|
"id_tracker": "segments/*/id_tracker.mappings",
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def _residency(stat: str) -> dict:
|
||||||
|
"""File page cache the cgroup holds, against what each structure occupies
|
||||||
|
on disk. A `cached` original that is not in `file` was evicted anyway, so
|
||||||
|
the rule reads off this rather than off the placement label.
|
||||||
|
|
||||||
|
The counters come from the caller's single read of `memory.stat`. Reading
|
||||||
|
it twice produced an artifact quoting one counter at two values, four
|
||||||
|
refaults apart, which reads as a discrepancy rather than as a live counter.
|
||||||
|
"""
|
||||||
|
cache = {line.split()[0]: int(line.split()[1]) for line in stat.splitlines()}
|
||||||
|
root = "/qdrant/storage/collections/*/*"
|
||||||
|
# Apparent size and allocated blocks, because Qdrant preallocates payload
|
||||||
|
# storage sparsely: 242 MB apparent against 14.5 MB on disk at 100k points.
|
||||||
|
# The footprint claim uses blocks; the cache comparison uses the dense
|
||||||
|
# vector files, where the two agree.
|
||||||
|
on_disk, allocated = {}, {}
|
||||||
|
for name, pattern in STRUCTURES.items():
|
||||||
|
for label, flag, into in (("apparent", "-scb", on_disk), ("blocks", "-sc --block-size=1", allocated)):
|
||||||
|
out = _in_container(
|
||||||
|
f"du {flag} {root}/{pattern} 2>/dev/null | tail -1 | cut -f1", allow_empty=True
|
||||||
|
)
|
||||||
|
into[name] = int(out) if out.isdigit() else 0
|
||||||
|
total = sum(allocated.values())
|
||||||
|
blocks = int(_in_container("du -s --block-size=1 /qdrant/storage | cut -f1"))
|
||||||
|
return {
|
||||||
|
"file_cache_bytes": cache.get("file", 0),
|
||||||
|
"active_file_bytes": cache.get("active_file", 0),
|
||||||
|
"inactive_file_bytes": cache.get("inactive_file", 0),
|
||||||
|
"workingset_refault_file": cache.get("workingset_refault_file", 0),
|
||||||
|
"pgmajfault": cache.get("pgmajfault", 0),
|
||||||
|
"apparent_bytes": on_disk,
|
||||||
|
"on_disk_bytes": allocated,
|
||||||
|
"on_disk_total_bytes": total,
|
||||||
|
# Against the whole storage footprint rather than the five structures,
|
||||||
|
# because the cgroup's file cache also holds the WAL and the segment
|
||||||
|
# metadata, which would push a per-structure ratio above 1.
|
||||||
|
"storage_blocks_bytes": blocks,
|
||||||
|
"share_of_storage_cached": round(cache.get("file", 0) / blocks, 4) if blocks else None,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def _in_container(command: str, allow_empty: bool = False) -> str:
|
||||||
|
"""A silently empty reading looks like zero block reads, which is the one
|
||||||
|
wrong answer this experiment cannot afford, so a failed read raises."""
|
||||||
|
out = subprocess.run(
|
||||||
|
["docker", "exec", CONTAINER, "sh", "-c", command], capture_output=True, text=True
|
||||||
|
)
|
||||||
|
if not allow_empty and (out.returncode != 0 or not out.stdout.strip()):
|
||||||
|
raise SystemExit(f"reading {command!r} in {CONTAINER} failed: {out.stderr.strip()}")
|
||||||
|
return out.stdout.strip()
|
||||||
|
|
||||||
|
|
||||||
|
def _limit() -> str:
|
||||||
|
return _sh("docker", "inspect", "-f", "{{.HostConfig.Memory}}/{{.HostConfig.MemorySwap}}", CONTAINER)
|
||||||
|
|
||||||
|
|
||||||
|
def _host() -> dict:
|
||||||
|
"""The machine the numbers are true of, recorded with them."""
|
||||||
|
swap = _sh("sysctl", "-n", "vm.swapusage")
|
||||||
|
device = _sh("df", "-h", str(ROOT)).splitlines()[-1]
|
||||||
|
return {
|
||||||
|
"cpu": _sh("sysctl", "-n", "machdep.cpu.brand_string"),
|
||||||
|
# Reclaim behaviour depends on the kernel and on whether swap exists,
|
||||||
|
# so both are recorded with every reading rather than assumed.
|
||||||
|
"vm_kernel": _sh("docker", "run", "--rm", "alpine", "uname", "-a"),
|
||||||
|
"docker_version": _sh("docker", "version", "--format", "{{.Server.Version}}"),
|
||||||
|
"vm_swap_bytes": int(
|
||||||
|
_sh("docker", "run", "--rm", "alpine", "awk", "/^SwapTotal:/{print $2*1024}",
|
||||||
|
"/proc/meminfo")
|
||||||
|
),
|
||||||
|
"vm_page_cache_bytes": _vm_cache(),
|
||||||
|
"cores": int(_sh("sysctl", "-n", "hw.ncpu")),
|
||||||
|
"memory_bytes": int(_sh("sysctl", "-n", "hw.memsize")),
|
||||||
|
"host_swap": swap,
|
||||||
|
"docker_vm_memory_bytes": int(_sh("docker", "info", "--format", "{{.MemTotal}}")),
|
||||||
|
"storage_device": device,
|
||||||
|
"image": IMAGE,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
TASKS = {
|
||||||
|
"cold": cold,
|
||||||
|
"corpus": corpus,
|
||||||
|
"embed": embed,
|
||||||
|
"queries": queries,
|
||||||
|
"up": up,
|
||||||
|
"ingest": ingest,
|
||||||
|
"warm": warm,
|
||||||
|
"mem": mem,
|
||||||
|
}
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
if len(sys.argv) < 2 or sys.argv[1] not in TASKS:
|
||||||
|
raise SystemExit(f"usage: python e7.py [{' | '.join(TASKS)}] [arg]")
|
||||||
|
TASKS[sys.argv[1]](*sys.argv[2:])
|
||||||
@@ -0,0 +1,606 @@
|
|||||||
|
{
|
||||||
|
"e7a": {
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"oversampling": null,
|
||||||
|
"rescore": null,
|
||||||
|
"storage": "float32"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": null,
|
||||||
|
"rescore": false,
|
||||||
|
"storage": "int8"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 1.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "int8"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 2.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "int8"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 4.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "int8"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": null,
|
||||||
|
"rescore": false,
|
||||||
|
"storage": "turbo_bits4"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 1.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits4"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 2.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits4"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 4.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits4"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": null,
|
||||||
|
"rescore": false,
|
||||||
|
"storage": "turbo_bits1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 1.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 2.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"oversampling": 4.0,
|
||||||
|
"rescore": true,
|
||||||
|
"storage": "turbo_bits1"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"count": 13,
|
||||||
|
"decision_rule": "smallest storage class whose held-out nDCG@10 is within 0.01 of float32 and whose exact top-10 retention is within 0.02; at that class the lowest oversampling clearing both. Selection on one query half, reporting on the other. If no cell clears, the rule returns nothing and the article routes the reader to a larger class, more candidate depth, or an accepted loss.",
|
||||||
|
"oversampling": [
|
||||||
|
1.0,
|
||||||
|
2.0,
|
||||||
|
4.0
|
||||||
|
],
|
||||||
|
"query_split": {
|
||||||
|
"report": [
|
||||||
|
"INEX_LD-2009039",
|
||||||
|
"INEX_LD-2009062",
|
||||||
|
"INEX_LD-2009063",
|
||||||
|
"INEX_LD-2009074",
|
||||||
|
"INEX_LD-2009115",
|
||||||
|
"INEX_LD-2010014",
|
||||||
|
"INEX_LD-2010019",
|
||||||
|
"INEX_LD-2010020",
|
||||||
|
"INEX_LD-2010043",
|
||||||
|
"INEX_LD-2010057",
|
||||||
|
"INEX_LD-2010069",
|
||||||
|
"INEX_LD-2010100",
|
||||||
|
"INEX_LD-2010106",
|
||||||
|
"INEX_LD-20120111",
|
||||||
|
"INEX_LD-20120122",
|
||||||
|
"INEX_LD-20120131",
|
||||||
|
"INEX_LD-20120211",
|
||||||
|
"INEX_LD-20120221",
|
||||||
|
"INEX_LD-20120321",
|
||||||
|
"INEX_LD-20120411",
|
||||||
|
"INEX_LD-20120412",
|
||||||
|
"INEX_LD-20120422",
|
||||||
|
"INEX_LD-20120431",
|
||||||
|
"INEX_LD-20120511",
|
||||||
|
"INEX_LD-20120512",
|
||||||
|
"INEX_LD-20120522",
|
||||||
|
"INEX_LD-20120532",
|
||||||
|
"INEX_LD-2012301",
|
||||||
|
"INEX_LD-2012303",
|
||||||
|
"INEX_LD-2012315",
|
||||||
|
"INEX_LD-2012317",
|
||||||
|
"INEX_LD-2012321",
|
||||||
|
"INEX_LD-2012331",
|
||||||
|
"INEX_LD-2012335",
|
||||||
|
"INEX_LD-2012337",
|
||||||
|
"INEX_LD-2012345",
|
||||||
|
"INEX_LD-2012353",
|
||||||
|
"INEX_LD-2012354",
|
||||||
|
"INEX_LD-2012359",
|
||||||
|
"INEX_LD-2012365",
|
||||||
|
"INEX_LD-2012371",
|
||||||
|
"INEX_LD-2012373",
|
||||||
|
"INEX_LD-2012381",
|
||||||
|
"INEX_LD-2012383",
|
||||||
|
"INEX_LD-2012387",
|
||||||
|
"INEX_XER-108",
|
||||||
|
"INEX_XER-110",
|
||||||
|
"INEX_XER-113",
|
||||||
|
"INEX_XER-115",
|
||||||
|
"INEX_XER-117",
|
||||||
|
"INEX_XER-118",
|
||||||
|
"INEX_XER-119",
|
||||||
|
"INEX_XER-121",
|
||||||
|
"INEX_XER-123",
|
||||||
|
"INEX_XER-127",
|
||||||
|
"INEX_XER-130",
|
||||||
|
"INEX_XER-132",
|
||||||
|
"INEX_XER-134",
|
||||||
|
"INEX_XER-135",
|
||||||
|
"INEX_XER-139",
|
||||||
|
"INEX_XER-140",
|
||||||
|
"INEX_XER-141",
|
||||||
|
"INEX_XER-143",
|
||||||
|
"INEX_XER-144",
|
||||||
|
"INEX_XER-147",
|
||||||
|
"INEX_XER-62",
|
||||||
|
"INEX_XER-63",
|
||||||
|
"INEX_XER-67",
|
||||||
|
"INEX_XER-72",
|
||||||
|
"INEX_XER-74",
|
||||||
|
"INEX_XER-79",
|
||||||
|
"INEX_XER-86",
|
||||||
|
"INEX_XER-91",
|
||||||
|
"INEX_XER-94",
|
||||||
|
"INEX_XER-95",
|
||||||
|
"QALD2_te-11",
|
||||||
|
"QALD2_te-12",
|
||||||
|
"QALD2_te-14",
|
||||||
|
"QALD2_te-2",
|
||||||
|
"QALD2_te-21",
|
||||||
|
"QALD2_te-35",
|
||||||
|
"QALD2_te-40",
|
||||||
|
"QALD2_te-43",
|
||||||
|
"QALD2_te-45",
|
||||||
|
"QALD2_te-46",
|
||||||
|
"QALD2_te-48",
|
||||||
|
"QALD2_te-49",
|
||||||
|
"QALD2_te-5",
|
||||||
|
"QALD2_te-51",
|
||||||
|
"QALD2_te-53",
|
||||||
|
"QALD2_te-59",
|
||||||
|
"QALD2_te-63",
|
||||||
|
"QALD2_te-66",
|
||||||
|
"QALD2_te-72",
|
||||||
|
"QALD2_te-76",
|
||||||
|
"QALD2_te-82",
|
||||||
|
"QALD2_te-9",
|
||||||
|
"QALD2_te-90",
|
||||||
|
"QALD2_te-91",
|
||||||
|
"QALD2_te-92",
|
||||||
|
"QALD2_te-93",
|
||||||
|
"QALD2_te-99",
|
||||||
|
"QALD2_tr-1",
|
||||||
|
"QALD2_tr-15",
|
||||||
|
"QALD2_tr-18",
|
||||||
|
"QALD2_tr-25",
|
||||||
|
"QALD2_tr-26",
|
||||||
|
"QALD2_tr-28",
|
||||||
|
"QALD2_tr-29",
|
||||||
|
"QALD2_tr-3",
|
||||||
|
"QALD2_tr-32",
|
||||||
|
"QALD2_tr-35",
|
||||||
|
"QALD2_tr-38",
|
||||||
|
"QALD2_tr-40",
|
||||||
|
"QALD2_tr-42",
|
||||||
|
"QALD2_tr-43",
|
||||||
|
"QALD2_tr-47",
|
||||||
|
"QALD2_tr-49",
|
||||||
|
"QALD2_tr-52",
|
||||||
|
"QALD2_tr-53",
|
||||||
|
"QALD2_tr-59",
|
||||||
|
"QALD2_tr-61",
|
||||||
|
"QALD2_tr-62",
|
||||||
|
"QALD2_tr-64",
|
||||||
|
"QALD2_tr-68",
|
||||||
|
"QALD2_tr-69",
|
||||||
|
"QALD2_tr-82",
|
||||||
|
"QALD2_tr-85",
|
||||||
|
"QALD2_tr-87",
|
||||||
|
"SemSearch_ES-1",
|
||||||
|
"SemSearch_ES-100",
|
||||||
|
"SemSearch_ES-102",
|
||||||
|
"SemSearch_ES-107",
|
||||||
|
"SemSearch_ES-108",
|
||||||
|
"SemSearch_ES-118",
|
||||||
|
"SemSearch_ES-119",
|
||||||
|
"SemSearch_ES-120",
|
||||||
|
"SemSearch_ES-123",
|
||||||
|
"SemSearch_ES-124",
|
||||||
|
"SemSearch_ES-125",
|
||||||
|
"SemSearch_ES-127",
|
||||||
|
"SemSearch_ES-128",
|
||||||
|
"SemSearch_ES-129",
|
||||||
|
"SemSearch_ES-130",
|
||||||
|
"SemSearch_ES-135",
|
||||||
|
"SemSearch_ES-139",
|
||||||
|
"SemSearch_ES-14",
|
||||||
|
"SemSearch_ES-16",
|
||||||
|
"SemSearch_ES-17",
|
||||||
|
"SemSearch_ES-19",
|
||||||
|
"SemSearch_ES-20",
|
||||||
|
"SemSearch_ES-23",
|
||||||
|
"SemSearch_ES-24",
|
||||||
|
"SemSearch_ES-29",
|
||||||
|
"SemSearch_ES-3",
|
||||||
|
"SemSearch_ES-32",
|
||||||
|
"SemSearch_ES-38",
|
||||||
|
"SemSearch_ES-4",
|
||||||
|
"SemSearch_ES-41",
|
||||||
|
"SemSearch_ES-5",
|
||||||
|
"SemSearch_ES-50",
|
||||||
|
"SemSearch_ES-52",
|
||||||
|
"SemSearch_ES-56",
|
||||||
|
"SemSearch_ES-58",
|
||||||
|
"SemSearch_ES-60",
|
||||||
|
"SemSearch_ES-71",
|
||||||
|
"SemSearch_ES-72",
|
||||||
|
"SemSearch_ES-74",
|
||||||
|
"SemSearch_ES-77",
|
||||||
|
"SemSearch_ES-83",
|
||||||
|
"SemSearch_ES-84",
|
||||||
|
"SemSearch_ES-85",
|
||||||
|
"SemSearch_ES-86",
|
||||||
|
"SemSearch_ES-89",
|
||||||
|
"SemSearch_ES-91",
|
||||||
|
"SemSearch_ES-95",
|
||||||
|
"SemSearch_ES-96",
|
||||||
|
"SemSearch_ES-97",
|
||||||
|
"SemSearch_LS-11",
|
||||||
|
"SemSearch_LS-14",
|
||||||
|
"SemSearch_LS-16",
|
||||||
|
"SemSearch_LS-18",
|
||||||
|
"SemSearch_LS-2",
|
||||||
|
"SemSearch_LS-20",
|
||||||
|
"SemSearch_LS-26",
|
||||||
|
"SemSearch_LS-29",
|
||||||
|
"SemSearch_LS-3",
|
||||||
|
"SemSearch_LS-32",
|
||||||
|
"SemSearch_LS-34",
|
||||||
|
"SemSearch_LS-35",
|
||||||
|
"SemSearch_LS-41",
|
||||||
|
"SemSearch_LS-46",
|
||||||
|
"SemSearch_LS-50",
|
||||||
|
"SemSearch_LS-8",
|
||||||
|
"TREC_Entity-10",
|
||||||
|
"TREC_Entity-11",
|
||||||
|
"TREC_Entity-12",
|
||||||
|
"TREC_Entity-16",
|
||||||
|
"TREC_Entity-20",
|
||||||
|
"TREC_Entity-9"
|
||||||
|
],
|
||||||
|
"seed": 42,
|
||||||
|
"select": [
|
||||||
|
"INEX_LD-2009022",
|
||||||
|
"INEX_LD-2009053",
|
||||||
|
"INEX_LD-2009061",
|
||||||
|
"INEX_LD-2010004",
|
||||||
|
"INEX_LD-2010037",
|
||||||
|
"INEX_LD-20120121",
|
||||||
|
"INEX_LD-20120231",
|
||||||
|
"INEX_LD-20120232",
|
||||||
|
"INEX_LD-20120311",
|
||||||
|
"INEX_LD-20120312",
|
||||||
|
"INEX_LD-20120331",
|
||||||
|
"INEX_LD-20120332",
|
||||||
|
"INEX_LD-20120421",
|
||||||
|
"INEX_LD-20120521",
|
||||||
|
"INEX_LD-20120531",
|
||||||
|
"INEX_LD-2012305",
|
||||||
|
"INEX_LD-2012309",
|
||||||
|
"INEX_LD-2012311",
|
||||||
|
"INEX_LD-2012313",
|
||||||
|
"INEX_LD-2012318",
|
||||||
|
"INEX_LD-2012319",
|
||||||
|
"INEX_LD-2012323",
|
||||||
|
"INEX_LD-2012325",
|
||||||
|
"INEX_LD-2012327",
|
||||||
|
"INEX_LD-2012329",
|
||||||
|
"INEX_LD-2012333",
|
||||||
|
"INEX_LD-2012339",
|
||||||
|
"INEX_LD-2012341",
|
||||||
|
"INEX_LD-2012349",
|
||||||
|
"INEX_LD-2012355",
|
||||||
|
"INEX_LD-2012357",
|
||||||
|
"INEX_LD-2012361",
|
||||||
|
"INEX_LD-2012367",
|
||||||
|
"INEX_LD-2012369",
|
||||||
|
"INEX_LD-2012372",
|
||||||
|
"INEX_LD-2012377",
|
||||||
|
"INEX_LD-2012385",
|
||||||
|
"INEX_LD-2012389",
|
||||||
|
"INEX_LD-2012390",
|
||||||
|
"INEX_XER-106",
|
||||||
|
"INEX_XER-109",
|
||||||
|
"INEX_XER-114",
|
||||||
|
"INEX_XER-116",
|
||||||
|
"INEX_XER-122",
|
||||||
|
"INEX_XER-124",
|
||||||
|
"INEX_XER-128",
|
||||||
|
"INEX_XER-129",
|
||||||
|
"INEX_XER-133",
|
||||||
|
"INEX_XER-136",
|
||||||
|
"INEX_XER-138",
|
||||||
|
"INEX_XER-60",
|
||||||
|
"INEX_XER-64",
|
||||||
|
"INEX_XER-65",
|
||||||
|
"INEX_XER-81",
|
||||||
|
"INEX_XER-87",
|
||||||
|
"INEX_XER-88",
|
||||||
|
"INEX_XER-96",
|
||||||
|
"INEX_XER-98",
|
||||||
|
"INEX_XER-99",
|
||||||
|
"QALD2_te-1",
|
||||||
|
"QALD2_te-100",
|
||||||
|
"QALD2_te-13",
|
||||||
|
"QALD2_te-17",
|
||||||
|
"QALD2_te-22",
|
||||||
|
"QALD2_te-24",
|
||||||
|
"QALD2_te-25",
|
||||||
|
"QALD2_te-27",
|
||||||
|
"QALD2_te-28",
|
||||||
|
"QALD2_te-3",
|
||||||
|
"QALD2_te-31",
|
||||||
|
"QALD2_te-33",
|
||||||
|
"QALD2_te-39",
|
||||||
|
"QALD2_te-42",
|
||||||
|
"QALD2_te-44",
|
||||||
|
"QALD2_te-55",
|
||||||
|
"QALD2_te-57",
|
||||||
|
"QALD2_te-58",
|
||||||
|
"QALD2_te-6",
|
||||||
|
"QALD2_te-60",
|
||||||
|
"QALD2_te-64",
|
||||||
|
"QALD2_te-65",
|
||||||
|
"QALD2_te-67",
|
||||||
|
"QALD2_te-75",
|
||||||
|
"QALD2_te-77",
|
||||||
|
"QALD2_te-8",
|
||||||
|
"QALD2_te-80",
|
||||||
|
"QALD2_te-81",
|
||||||
|
"QALD2_te-84",
|
||||||
|
"QALD2_te-88",
|
||||||
|
"QALD2_te-89",
|
||||||
|
"QALD2_te-95",
|
||||||
|
"QALD2_te-97",
|
||||||
|
"QALD2_te-98",
|
||||||
|
"QALD2_tr-10",
|
||||||
|
"QALD2_tr-11",
|
||||||
|
"QALD2_tr-13",
|
||||||
|
"QALD2_tr-16",
|
||||||
|
"QALD2_tr-17",
|
||||||
|
"QALD2_tr-21",
|
||||||
|
"QALD2_tr-24",
|
||||||
|
"QALD2_tr-30",
|
||||||
|
"QALD2_tr-31",
|
||||||
|
"QALD2_tr-34",
|
||||||
|
"QALD2_tr-36",
|
||||||
|
"QALD2_tr-4",
|
||||||
|
"QALD2_tr-41",
|
||||||
|
"QALD2_tr-45",
|
||||||
|
"QALD2_tr-50",
|
||||||
|
"QALD2_tr-51",
|
||||||
|
"QALD2_tr-54",
|
||||||
|
"QALD2_tr-55",
|
||||||
|
"QALD2_tr-57",
|
||||||
|
"QALD2_tr-58",
|
||||||
|
"QALD2_tr-6",
|
||||||
|
"QALD2_tr-65",
|
||||||
|
"QALD2_tr-70",
|
||||||
|
"QALD2_tr-71",
|
||||||
|
"QALD2_tr-74",
|
||||||
|
"QALD2_tr-75",
|
||||||
|
"QALD2_tr-77",
|
||||||
|
"QALD2_tr-78",
|
||||||
|
"QALD2_tr-79",
|
||||||
|
"QALD2_tr-8",
|
||||||
|
"QALD2_tr-80",
|
||||||
|
"QALD2_tr-81",
|
||||||
|
"QALD2_tr-83",
|
||||||
|
"QALD2_tr-84",
|
||||||
|
"QALD2_tr-89",
|
||||||
|
"QALD2_tr-9",
|
||||||
|
"QALD2_tr-91",
|
||||||
|
"SemSearch_ES-10",
|
||||||
|
"SemSearch_ES-101",
|
||||||
|
"SemSearch_ES-104",
|
||||||
|
"SemSearch_ES-106",
|
||||||
|
"SemSearch_ES-11",
|
||||||
|
"SemSearch_ES-111",
|
||||||
|
"SemSearch_ES-114",
|
||||||
|
"SemSearch_ES-115",
|
||||||
|
"SemSearch_ES-13",
|
||||||
|
"SemSearch_ES-132",
|
||||||
|
"SemSearch_ES-136",
|
||||||
|
"SemSearch_ES-15",
|
||||||
|
"SemSearch_ES-18",
|
||||||
|
"SemSearch_ES-2",
|
||||||
|
"SemSearch_ES-21",
|
||||||
|
"SemSearch_ES-25",
|
||||||
|
"SemSearch_ES-26",
|
||||||
|
"SemSearch_ES-30",
|
||||||
|
"SemSearch_ES-33",
|
||||||
|
"SemSearch_ES-36",
|
||||||
|
"SemSearch_ES-39",
|
||||||
|
"SemSearch_ES-45",
|
||||||
|
"SemSearch_ES-47",
|
||||||
|
"SemSearch_ES-49",
|
||||||
|
"SemSearch_ES-59",
|
||||||
|
"SemSearch_ES-6",
|
||||||
|
"SemSearch_ES-61",
|
||||||
|
"SemSearch_ES-7",
|
||||||
|
"SemSearch_ES-75",
|
||||||
|
"SemSearch_ES-76",
|
||||||
|
"SemSearch_ES-78",
|
||||||
|
"SemSearch_ES-80",
|
||||||
|
"SemSearch_ES-82",
|
||||||
|
"SemSearch_ES-88",
|
||||||
|
"SemSearch_ES-9",
|
||||||
|
"SemSearch_ES-90",
|
||||||
|
"SemSearch_ES-98",
|
||||||
|
"SemSearch_LS-1",
|
||||||
|
"SemSearch_LS-10",
|
||||||
|
"SemSearch_LS-12",
|
||||||
|
"SemSearch_LS-13",
|
||||||
|
"SemSearch_LS-21",
|
||||||
|
"SemSearch_LS-22",
|
||||||
|
"SemSearch_LS-24",
|
||||||
|
"SemSearch_LS-25",
|
||||||
|
"SemSearch_LS-30",
|
||||||
|
"SemSearch_LS-31",
|
||||||
|
"SemSearch_LS-33",
|
||||||
|
"SemSearch_LS-36",
|
||||||
|
"SemSearch_LS-37",
|
||||||
|
"SemSearch_LS-38",
|
||||||
|
"SemSearch_LS-39",
|
||||||
|
"SemSearch_LS-4",
|
||||||
|
"SemSearch_LS-42",
|
||||||
|
"SemSearch_LS-43",
|
||||||
|
"SemSearch_LS-44",
|
||||||
|
"SemSearch_LS-49",
|
||||||
|
"SemSearch_LS-6",
|
||||||
|
"SemSearch_LS-7",
|
||||||
|
"SemSearch_LS-9",
|
||||||
|
"TREC_Entity-1",
|
||||||
|
"TREC_Entity-14",
|
||||||
|
"TREC_Entity-15",
|
||||||
|
"TREC_Entity-18",
|
||||||
|
"TREC_Entity-19",
|
||||||
|
"TREC_Entity-2",
|
||||||
|
"TREC_Entity-4",
|
||||||
|
"TREC_Entity-5",
|
||||||
|
"TREC_Entity-6",
|
||||||
|
"TREC_Entity-7"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"retention_definition": "|top-10 the cell returned, intersected with the top-10 of an exact=True float32 search on the same query| / 10, measured on the list the reader receives, which is after rescore where rescore is on. Ties inside the exact top-10 are kept as the server ordered them, since the intersection does not depend on their order.",
|
||||||
|
"storage_classes": [
|
||||||
|
"float32",
|
||||||
|
"int8",
|
||||||
|
"turbo_bits4",
|
||||||
|
"turbo_bits1"
|
||||||
|
],
|
||||||
|
"tolerance": {
|
||||||
|
"exact_top10_retention": 0.02,
|
||||||
|
"ndcg_at_10": 0.01
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"e7b": {
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"control": true,
|
||||||
|
"limit": "12g",
|
||||||
|
"originals": "cached",
|
||||||
|
"placement": "cached_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "fits",
|
||||||
|
"rescore": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "12g",
|
||||||
|
"originals": "cached",
|
||||||
|
"placement": "cached_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "fits",
|
||||||
|
"rescore": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": true,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cached",
|
||||||
|
"placement": "cached_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cached",
|
||||||
|
"placement": "cached_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cold",
|
||||||
|
"placement": "cold_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cold",
|
||||||
|
"placement": "cold_cached",
|
||||||
|
"quantized": "cached",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"cold_start_cells": [
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cold",
|
||||||
|
"placement": "cold_pinned",
|
||||||
|
"quantized": "pinned",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"control": false,
|
||||||
|
"limit": "4g",
|
||||||
|
"originals": "cold",
|
||||||
|
"placement": "cold_cached",
|
||||||
|
"quantized": "cached",
|
||||||
|
"regime": "exceeds",
|
||||||
|
"rescore": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"cold_start_count": 2,
|
||||||
|
"count": 6,
|
||||||
|
"limits": {
|
||||||
|
"exceeds": "4g",
|
||||||
|
"fits": "12g"
|
||||||
|
},
|
||||||
|
"negative_control": "the rescore=False rows. Moving originals between cached and cold with no reread should not move latency; if it does, the cold rows carry no claim.",
|
||||||
|
"per_cell_protocol": [
|
||||||
|
"stop the container",
|
||||||
|
"sync, drop the VM page cache, verify it fell to its floor",
|
||||||
|
"start a fresh container at the cell's limit",
|
||||||
|
"wait for green",
|
||||||
|
"apply the cell's storage class and placements, wait for green again",
|
||||||
|
"one fixed warm-up pass at the cell's depth",
|
||||||
|
"the measured pass",
|
||||||
|
"record memory, io.stat and timings, then stop"
|
||||||
|
],
|
||||||
|
"repeats": 3,
|
||||||
|
"reported_arm": "warmed. Every cell starts from a controlled cache state and takes the same fixed warm-up pass before its measured pass. Settings are not randomized inside one long-lived container: under a tight limit the previous cell's pages decide which of this cell's pages survive.",
|
||||||
|
"reported_statistic": "paired relative change within a cell pair, with p50, p95 and the spread across independent starts. Absolute milliseconds ship as evidence for one stated machine, never as a target a reader compares against.",
|
||||||
|
"runs_total": 18
|
||||||
|
},
|
||||||
|
"held_fixed": {
|
||||||
|
"candidate_depth": 200,
|
||||||
|
"hnsw_ef": 128,
|
||||||
|
"metrics_at": 10,
|
||||||
|
"originals_reread_per_query": {
|
||||||
|
"1.0": 200,
|
||||||
|
"2.0": 400,
|
||||||
|
"4.0": 800
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"registered": "pre-run, section 8 forbids additions after this file is written"
|
||||||
|
}
|
||||||
@@ -0,0 +1,7 @@
|
|||||||
|
{
|
||||||
|
"host_purge_ran": false,
|
||||||
|
"host_swap_after": "total = 6144.00M used = 5241.19M free = 902.81M (encrypted)",
|
||||||
|
"limit": "12g",
|
||||||
|
"vm_cache_after_bytes": 80240640,
|
||||||
|
"vm_cache_before_bytes": 10802790400
|
||||||
|
}
|
||||||
@@ -0,0 +1,7 @@
|
|||||||
|
{
|
||||||
|
"host_purge_ran": false,
|
||||||
|
"host_swap_after": "total = 6144.00M used = 5007.69M free = 1136.31M (encrypted)",
|
||||||
|
"limit": "4g",
|
||||||
|
"vm_cache_after_bytes": 80736256,
|
||||||
|
"vm_cache_before_bytes": 8133787648
|
||||||
|
}
|
||||||
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|
|||||||
|
{
|
||||||
|
"avg_len": 33.3019,
|
||||||
|
"avg_raw_tokens": 51.3299,
|
||||||
|
"corpus": "dbpedia-full",
|
||||||
|
"doc_id_sha256": "b3939fdfe1cead242b7ff890cf6017207e6a689ae3dce96cbe28e724807a96b5",
|
||||||
|
"docs": 4635922,
|
||||||
|
"field_recipe": "title + \" \" + text",
|
||||||
|
"license": "CC BY-SA 3.0",
|
||||||
|
"load_seconds": 20.9,
|
||||||
|
"max_relevance": 2,
|
||||||
|
"qrels": 43515,
|
||||||
|
"queries": 400,
|
||||||
|
"relevant_per_query": 38.215,
|
||||||
|
"source": {
|
||||||
|
"bytes": 639285131,
|
||||||
|
"file": "dbpedia-entity.zip",
|
||||||
|
"sha256": "e4c13080b5399a19e02b04c908c485f8997ac9e265a06ef5f9f28c3f1134c472",
|
||||||
|
"url": "https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/dbpedia-entity.zip"
|
||||||
|
}
|
||||||
|
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|
||||||
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|
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|
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|
|||||||
|
{
|
||||||
|
"collection": "dbpedia_full",
|
||||||
|
"config": {
|
||||||
|
"hnsw_config": {
|
||||||
|
"ef_construct": 100,
|
||||||
|
"full_scan_threshold": 10,
|
||||||
|
"inline_storage": null,
|
||||||
|
"m": 16,
|
||||||
|
"max_indexing_threads": 0,
|
||||||
|
"memory": null,
|
||||||
|
"on_disk": false,
|
||||||
|
"payload_m": null
|
||||||
|
},
|
||||||
|
"metadata": null,
|
||||||
|
"optimizer_config": {
|
||||||
|
"default_segment_number": 7,
|
||||||
|
"deleted_threshold": 0.2,
|
||||||
|
"flush_interval_sec": 5,
|
||||||
|
"indexing_threshold": 1,
|
||||||
|
"max_optimization_threads": null,
|
||||||
|
"max_segment_size": null,
|
||||||
|
"memmap_threshold": null,
|
||||||
|
"prevent_unoptimized": null,
|
||||||
|
"vacuum_min_vector_number": 1000
|
||||||
|
},
|
||||||
|
"params": {
|
||||||
|
"on_disk_payload": true,
|
||||||
|
"payload": null,
|
||||||
|
"read_fan_out_delay_ms": null,
|
||||||
|
"read_fan_out_factor": null,
|
||||||
|
"replication_factor": 1,
|
||||||
|
"shard_number": 1,
|
||||||
|
"sharding_method": null,
|
||||||
|
"sparse_vectors": null,
|
||||||
|
"vectors": {
|
||||||
|
"dense": {
|
||||||
|
"datatype": null,
|
||||||
|
"distance": "Cosine",
|
||||||
|
"hnsw_config": null,
|
||||||
|
"memory": null,
|
||||||
|
"multivector_config": null,
|
||||||
|
"on_disk": null,
|
||||||
|
"quantization_config": null,
|
||||||
|
"size": 384
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"write_consistency_factor": 1
|
||||||
|
},
|
||||||
|
"quantization_config": null,
|
||||||
|
"strict_mode_config": null,
|
||||||
|
"wal_config": {
|
||||||
|
"wal_capacity_mb": 32,
|
||||||
|
"wal_retain_closed": 1,
|
||||||
|
"wal_segments_ahead": 0
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"documents": 4635922,
|
||||||
|
"index_seconds": 510.6,
|
||||||
|
"indexed_vectors_count": 4635922,
|
||||||
|
"memory_limit": "12884901888/12884901888",
|
||||||
|
"points_count": 4635922,
|
||||||
|
"segments": 7,
|
||||||
|
"segments_count": 7,
|
||||||
|
"status": "green",
|
||||||
|
"upload_seconds": 730.1,
|
||||||
|
"vectors": "dense only, no sparse prefetch"
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T02:53:15-0400",
|
||||||
|
"cgroup": {
|
||||||
|
"io.stat": "254:0 rbytes=16474841088 wbytes=26204676096 rios=1045608 wios=88271 dbytes=0 dios=0",
|
||||||
|
"memory.current": "10460831744",
|
||||||
|
"memory.events": "low 0\nhigh 0\nmax 6441\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.events.local": "low 0\nhigh 0\nmax 6441\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.max": "12884901888",
|
||||||
|
"memory.peak": "12884901888",
|
||||||
|
"memory.stat": "anon 2076409856\nfile 7073300480\npagetables 26554368\nsock 0\ninactive_file 6648156160\nactive_file 425160704\nslab 100942120\nworkingset_refault_file 1826999\nworkingset_activate_file 1826999\npgscan 3451776\npgsteal 3451772\npgmajfault 3178214",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "3.549GiB / 12GiB|29.58%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 14336.00M used = 13341.50M free = 994.50M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 475Gi 412Gi 54% 2.9M 4.3G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 67e6b33a62b5 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 7917817856,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
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|
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||||||
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|
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|
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|
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|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
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|
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||||||
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||||||
|
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||||||
|
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||||||
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|
||||||
|
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|
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|
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|
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|
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|
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||||||
|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T09:53:59-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9715032064
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T10:29:56-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233351\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T10:29:43-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233351\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T10:29:03-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.626GiB / 4GiB|65.65%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
"host_swap": "total = 7168.00M used = 5567.06M free = 1600.94M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 426Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux a6c5d8d80bea 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r0-exceeds-cached_pinned-rescoreTrue-after",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233351\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T10:28:39-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
"host_swap": "total = 7168.00M used = 5567.06M free = 1600.94M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
"vm_kernel": "Linux 1675c5955a73 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"label": "e7b-r0-exceeds-cached_pinned-rescoreTrue-before",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"originals": 7120776212,
|
||||||
|
"payload": 857412396,
|
||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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|
||||||
|
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|
||||||
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||||||
|
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||||||
|
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|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
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||||||
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||||||
|
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||||||
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||||||
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||||||
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||||||
|
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||||||
|
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||||||
|
"storage_bytes": 9081786368
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||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
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||||||
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||||||
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
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||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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|
||||||
|
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||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:17:59-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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||||||
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||||||
|
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||||||
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||||||
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||||||
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|
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||||||
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|
||||||
|
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|
||||||
|
}
|
||||||
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|
|||||||
|
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||||||
|
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||||||
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|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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|
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||||||
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||||||
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||||||
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|
||||||
|
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||||||
|
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||||||
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||||||
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||||||
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||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
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|||||||
|
{
|
||||||
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||||||
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||||||
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||||||
|
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||||||
|
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|
||||||
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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||||||
|
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
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||||||
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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||||||
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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||||||
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233302\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:26:16-0400",
|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081786368,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233302\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:25:29-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259611632
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233302\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:24:48-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259620864
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081786368,
|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:23:06-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.272GiB / 4GiB|56.79%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
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|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
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||||||
|
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|
||||||
|
"storage_apparent_bytes": 9325898001,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233368\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:22:36-0400",
|
||||||
|
"cgroup": {
|
||||||
|
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||||||
|
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||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 4602.69M free = 1541.31M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 427Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 7a359fa96e2b 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2250420224,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r1-exceeds-cold_pinned-rescoreTrue-before",
|
||||||
|
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|
||||||
|
"resident": {
|
||||||
|
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|
||||||
|
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|
||||||
|
"graph": 412216750,
|
||||||
|
"id_tracker": 60267026,
|
||||||
|
"originals": 7120776212,
|
||||||
|
"payload": 857412396,
|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"originals": 7120814080,
|
||||||
|
"payload": 668315648,
|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
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||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9325898001,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233368\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:27:28-0400",
|
||||||
|
"cgroup": {
|
||||||
|
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||||||
|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "9.225GiB / 12GiB|76.88%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 4842.19M free = 1301.81M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 427Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 0f4272b16cec 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 8141656064,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r1-fits-cached_pinned-rescoreFalse-after",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"id_tracker": 60267026,
|
||||||
|
"originals": 7120776212,
|
||||||
|
"payload": 857412396,
|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233302\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:27:14-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
"vm_kernel": "Linux 6073c653e6c0 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 7841923072,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:21:53-0400",
|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233351\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:31:45-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"docker_stats_mem_usage": "3.863GiB / 4GiB|96.57%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
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|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
"vm_kernel": "Linux 0d4d5c5f824f 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 16813047808,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n17262399864\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 16813047808
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:31:16-0400",
|
||||||
|
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|
||||||
|
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"docker_stats_mem_usage": "3.913GiB / 4GiB|97.84%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"vm_kernel": "Linux 1a3a824361b0 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 16813047808,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n17262399864\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 16813047808
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:28:18-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 4841.38M free = 1302.62M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 427Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081786368
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:33:17-0400",
|
||||||
|
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 10369810432
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 10369810432
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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|
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 10368856064
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:29:06-0400",
|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 10368856064
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:31:05-0400",
|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n17262399864\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 16813047808
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:30:52-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
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|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 4970.50M free = 1173.50M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
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|
||||||
|
"vm_page_cache_bytes": 7804895232,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n17262399864\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 16813047808
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:34:30-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
"memory.stat": "anon 2843312128\nfile 9129181184\npagetables 31809536\nsock 0\ninactive_file 1335222272\nactive_file 7793975296\nslab 31665088\nworkingset_refault_file 0\nworkingset_activate_file 0\npgscan 0\npgsteal 0\npgmajfault 309818",
|
||||||
|
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|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "10.17GiB / 12GiB|84.77%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5066.06M free = 1077.94M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 472Gi 424Gi 53% 2.9M 4.4G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 5e2565614bec 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 9278640128,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r2-fits-cached_pinned-rescoreTrue-after",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 370873328
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n13194992213\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 12942737408
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:34:07-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "10.7GiB / 12GiB|89.14%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5154.06M free = 989.94M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 472Gi 424Gi 53% 2.9M 4.4G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux f61a5cf6b83e 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"label": "e7b-r2-fits-cached_pinned-rescoreTrue-before",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
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|
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||||||
|
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||||||
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||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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||||||
|
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|
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|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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|
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
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||||||
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|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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||||||
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 12942737408
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
"host_swap": "total = 6144.00M used = 5333.19M free = 810.81M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 296698864
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 296710144
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 10369105920,
|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n10689485999\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 10369105920
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:43:51-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "3.936GiB / 4GiB|98.40%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5381.19M free = 762.81M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
"vm_kernel": "Linux 437bd3b97d90 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2132467712,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r3-exceeds-cold_cached-rescoreTrue-before",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 296698864
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"payload": 763850752,
|
||||||
|
"quantized": 296710144
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 10369105920,
|
||||||
|
"workingset_refault_file": 5023
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 10790150632,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n10689485999\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 10369105920
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:45:38-0400",
|
||||||
|
"cgroup": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.634GiB / 4GiB|65.85%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5311.00M free = 833.00M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux bbba0fd1726b 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2124775424,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r3-exceeds-cold_pinned-rescoreTrue-after",
|
||||||
|
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|
||||||
|
"resident": {
|
||||||
|
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|
||||||
|
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|
||||||
|
"graph": 412217023,
|
||||||
|
"id_tracker": 60267034,
|
||||||
|
"originals": 7120776216,
|
||||||
|
"payload": 892048478,
|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 1975189504,
|
||||||
|
"inactive_file_bytes": 1466703872,
|
||||||
|
"on_disk_bytes": {
|
||||||
|
"graph": 412299264,
|
||||||
|
"id_tracker": 60272640,
|
||||||
|
"originals": 7120818176,
|
||||||
|
"payload": 668327936,
|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
"on_disk_total_bytes": 8521338880,
|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081892864,
|
||||||
|
"workingset_refault_file": 26
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9362644155,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9261979522\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081892864
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:45:14-0400",
|
||||||
|
"cgroup": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.peak": "2880131072",
|
||||||
|
"memory.stat": "anon 2300669952\nfile 571215872\npagetables 7237632\nsock 0\ninactive_file 63926272\nactive_file 507301888\nslab 4065048\nworkingset_refault_file 0\nworkingset_activate_file 0\npgscan 0\npgsteal 0\npgmajfault 4213",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.622GiB / 4GiB|65.54%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5189.94M free = 954.06M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 3d6724c5764b 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 658612224,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r3-exceeds-cold_pinned-rescoreTrue-before",
|
||||||
|
"qdrant_rss_bytes": 2796277760,
|
||||||
|
"resident": {
|
||||||
|
"active_file_bytes": 507301888,
|
||||||
|
"apparent_bytes": {
|
||||||
|
"graph": 412217023,
|
||||||
|
"id_tracker": 60267034,
|
||||||
|
"originals": 7120776216,
|
||||||
|
"payload": 892048478,
|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 571215872,
|
||||||
|
"inactive_file_bytes": 63926272,
|
||||||
|
"on_disk_bytes": {
|
||||||
|
"graph": 412299264,
|
||||||
|
"id_tracker": 60272640,
|
||||||
|
"originals": 7120818176,
|
||||||
|
"payload": 668327936,
|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
"on_disk_total_bytes": 8521338880,
|
||||||
|
"pgmajfault": 4213,
|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081892864,
|
||||||
|
"workingset_refault_file": 0
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9362644155,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9261979522\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081892864
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:42:10-0400",
|
||||||
|
"cgroup": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.max": "12884901888",
|
||||||
|
"memory.peak": "10778869760",
|
||||||
|
"memory.stat": "anon 2448105472\nfile 8183128064\npagetables 23830528\nsock 0\ninactive_file 389357568\nactive_file 7793786880\nslab 22731280\nworkingset_refault_file 0\nworkingset_activate_file 0\npgscan 0\npgsteal 0\npgmajfault 78903",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "9.66GiB / 12GiB|80.50%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 8192.00M used = 7420.81M free = 771.19M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 471Gi 422Gi 53% 2.9M 4.4G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 99ae193c152e 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 8332771328,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r3-fits-cached_pinned-rescoreFalse-after",
|
||||||
|
"qdrant_rss_bytes": 10529103872,
|
||||||
|
"resident": {
|
||||||
|
"active_file_bytes": 7793786880,
|
||||||
|
"apparent_bytes": {
|
||||||
|
"graph": 584859719,
|
||||||
|
"id_tracker": 86095666,
|
||||||
|
"originals": 10172525604,
|
||||||
|
"payload": 1244666996,
|
||||||
|
"quantized": 370873328
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 8183128064,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"originals": 10172592128,
|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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||||||
|
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|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
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||||||
|
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||||||
|
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|
||||||
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
|
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|
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|
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||||||
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||||||
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||||||
|
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||||||
|
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|
||||||
@@ -0,0 +1,58 @@
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|||||||
|
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||||||
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
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|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
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||||||
|
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||||||
|
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|
||||||
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||||||
|
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||||||
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||||||
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||||||
|
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||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
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|
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||||||
|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
||||||
|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259620864
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:52:51-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.723GiB / 4GiB|68.09%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 4967.69M free = 1176.31M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 0af142a7eda3 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2330525696,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
"workingset_refault_file": 549998
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9325898029,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233394\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:52:13-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.765GiB / 4GiB|69.13%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5007.69M free = 1136.31M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 98b343bc966a 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2277519360,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r4-exceeds-cached_pinned-rescoreTrue-before",
|
||||||
|
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|
||||||
|
"resident": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"id_tracker": 60267026,
|
||||||
|
"originals": 7120776212,
|
||||||
|
"payload": 857412396,
|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 2139693056,
|
||||||
|
"inactive_file_bytes": 1324466176,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"originals": 7120814080,
|
||||||
|
"payload": 668315648,
|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
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|
||||||
|
"pgmajfault": 4070,
|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
"workingset_refault_file": 784
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||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9325898029,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233394\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:51:01-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "2.154GiB / 4GiB|53.84%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5031.69M free = 1112.31M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 85582ba73907 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2325725184,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r4-exceeds-cold_cached-rescoreTrue-after",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"id_tracker": 60267026,
|
||||||
|
"originals": 7120776212,
|
||||||
|
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|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"originals": 7120814080,
|
||||||
|
"payload": 668315648,
|
||||||
|
"quantized": 259620864
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_blocks_bytes": 9081790464,
|
||||||
|
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|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9325898040,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9225233407\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:50:34-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
"host_swap": "total = 6144.00M used = 5031.69M free = 1112.31M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
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|
||||||
|
"vm_kernel": "Linux e42a4ca104a7 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2246799360,
|
||||||
|
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|
||||||
|
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|
||||||
|
"label": "e7b-r4-exceeds-cold_cached-rescoreTrue-before",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 9081790464
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_bytes": 11655667712
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n11883868922\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 11655667712
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:49:52-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"vm_kernel": "Linux c13a2c0c29cb 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"label": "e7b-r4-fits-cached_pinned-rescoreFalse-after",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9378534296\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9082216448
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:49:39-0400",
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"container": "e7-qdrant",
|
||||||
|
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|
||||||
|
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|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
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|
||||||
|
"host_swap": "total = 6144.00M used = 5193.19M free = 950.81M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 468Gi 428Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux eac7be36f076 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 2692235264,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "e7b-r4-fits-cached_pinned-rescoreFalse-before",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259611632
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"quantized": 259620864
|
||||||
|
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|
||||||
|
"on_disk_total_bytes": 8521441280,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n9378534296\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 9082216448
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T11:47:17-0400",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "10.47GiB / 12GiB|87.27%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 6144.00M used = 5151.00M free = 993.00M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 470Gi 425Gi 53% 2.9M 4.5G 0% /System/Volumes/Data",
|
||||||
|
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||||||
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||||||
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||||||
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
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||||||
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||||||
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|
||||||
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|
|||||||
|
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||||||
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|
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|
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|
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@@ -0,0 +1,53 @@
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|
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||||||
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||||||
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||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T03:18:59-0400",
|
||||||
|
"cgroup": {
|
||||||
|
"io.stat": "254:0 rbytes=10268712960 wbytes=69632 rios=161581 wios=70 dbytes=0 dios=0",
|
||||||
|
"memory.current": "4294234112",
|
||||||
|
"memory.events": "low 0\nhigh 0\nmax 14702\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.events.local": "low 0\nhigh 0\nmax 14702\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.max": "4294967296",
|
||||||
|
"memory.peak": "4294983680",
|
||||||
|
"memory.stat": "anon 3665833984\nfile 520237056\npagetables 25595904\nsock 0\ninactive_file 199344128\nactive_file 320905216\nslab 21174256\nworkingset_refault_file 12310\nworkingset_activate_file 12052\npgscan 2847550\npgsteal 2115993\npgmajfault 91680",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "3.813GiB / 4GiB|95.32%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 14336.00M used = 13473.81M free = 862.19M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 473Gi 415Gi 54% 2.9M 4.3G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 80d32684889c 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 1362006016,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "steady-4g",
|
||||||
|
"qdrant_rss_bytes": 4215480320,
|
||||||
|
"resident": {
|
||||||
|
"active_file_bytes": 320905216,
|
||||||
|
"apparent_bytes": {
|
||||||
|
"graph": 372498112,
|
||||||
|
"id_tracker": 60267034,
|
||||||
|
"originals": 7120776216,
|
||||||
|
"payload": 857412510,
|
||||||
|
"quantized": 1798737736
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 520237056,
|
||||||
|
"inactive_file_bytes": 199344128,
|
||||||
|
"on_disk_bytes": {
|
||||||
|
"graph": 372576256,
|
||||||
|
"id_tracker": 60268544,
|
||||||
|
"originals": 7120822272,
|
||||||
|
"payload": 668332032,
|
||||||
|
"quantized": 1798750208
|
||||||
|
},
|
||||||
|
"on_disk_total_bytes": 10020749312,
|
||||||
|
"pgmajfault": 91680,
|
||||||
|
"share_of_storage_cached": 0.0492,
|
||||||
|
"storage_blocks_bytes": 10581270528,
|
||||||
|
"workingset_refault_file": 12310
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 10827366529,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n10726701896\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 10581270528
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T02:30:23-0400",
|
||||||
|
"cgroup": {
|
||||||
|
"io.stat": "254:0 rbytes=8150450176 wbytes=69632 rios=70060 wios=71 dbytes=0 dios=0",
|
||||||
|
"memory.current": "9649995776",
|
||||||
|
"memory.events": "low 0\nhigh 0\nmax 0\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.events.local": "low 0\nhigh 0\nmax 0\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.max": "12884901888",
|
||||||
|
"memory.peak": "9653133312",
|
||||||
|
"memory.stat": "anon 1894522880\nfile 7642697728\npagetables 21782528\nsock 0\ninactive_file 92856320\nactive_file 7549853696\nslab 21424232\nworkingset_refault_file 0\nworkingset_activate_file 0\npgscan 0\npgsteal 0\npgmajfault 10959",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "12884901888/12884901888",
|
||||||
|
"docker_stats_mem_usage": "8.9GiB / 12GiB|74.17%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 14336.00M used = 13164.44M free = 1171.56M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 475Gi 413Gi 54% 2.9M 4.3G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux b429aa5c96d0 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 8460009472,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "warmed-12g",
|
||||||
|
"qdrant_rss_bytes": 9501790208,
|
||||||
|
"resident": {
|
||||||
|
"active_file_bytes": 7549853696,
|
||||||
|
"apparent_bytes": {
|
||||||
|
"graph": 372750835,
|
||||||
|
"id_tracker": 60267034,
|
||||||
|
"originals": 7120776216,
|
||||||
|
"payload": 857412510,
|
||||||
|
"quantized": 0
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 7642697728,
|
||||||
|
"inactive_file_bytes": 92856320,
|
||||||
|
"on_disk_bytes": {
|
||||||
|
"graph": 372830208,
|
||||||
|
"id_tracker": 60268544,
|
||||||
|
"originals": 7120822272,
|
||||||
|
"payload": 668340224,
|
||||||
|
"quantized": 0
|
||||||
|
},
|
||||||
|
"on_disk_total_bytes": 8222261248,
|
||||||
|
"pgmajfault": 10959,
|
||||||
|
"share_of_storage_cached": 0.8702,
|
||||||
|
"storage_blocks_bytes": 8782721024,
|
||||||
|
"workingset_refault_file": 0
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 9028870893,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n8928206316\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 8782721024
|
||||||
|
}
|
||||||
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"at": "2026-08-12T03:19:12-0400",
|
||||||
|
"cgroup": {
|
||||||
|
"io.stat": "254:0 rbytes=10568192000 wbytes=69632 rios=234687 wios=70 dbytes=0 dios=0",
|
||||||
|
"memory.current": "4294631424",
|
||||||
|
"memory.events": "low 0\nhigh 0\nmax 15807\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.events.local": "low 0\nhigh 0\nmax 15807\noom 0\noom_kill 0\noom_group_kill 0",
|
||||||
|
"memory.max": "4294967296",
|
||||||
|
"memory.peak": "4294983680",
|
||||||
|
"memory.stat": "anon 3651706880\nfile 532504576\npagetables 25579520\nsock 0\ninactive_file 211570688\nactive_file 320946176\nslab 21176984\nworkingset_refault_file 85705\nworkingset_activate_file 85447\npgscan 2917950\npgsteal 2186393\npgmajfault 165053",
|
||||||
|
"memory.swap.current": "0"
|
||||||
|
},
|
||||||
|
"container": "e7-qdrant",
|
||||||
|
"docker_memory_limit": "4294967296/4294967296",
|
||||||
|
"docker_stats_mem_usage": "3.802GiB / 4GiB|95.04%",
|
||||||
|
"host": {
|
||||||
|
"cores": 15,
|
||||||
|
"cpu": "Apple M5 Pro",
|
||||||
|
"docker_version": "29.6.2",
|
||||||
|
"docker_vm_memory_bytes": 16747134976,
|
||||||
|
"host_swap": "total = 14336.00M used = 13289.75M free = 1046.25M (encrypted)",
|
||||||
|
"image": "qdrant/qdrant:v1.19.0",
|
||||||
|
"memory_bytes": 25769803776,
|
||||||
|
"storage_device": "/dev/disk3s5 926Gi 473Gi 415Gi 54% 2.9M 4.3G 0% /System/Volumes/Data",
|
||||||
|
"vm_kernel": "Linux 9a08d76cf0e6 6.12.76-linuxkit #1 SMP Sat Jul 11 11:18:11 UTC 2026 aarch64 Linux",
|
||||||
|
"vm_page_cache_bytes": 1374101504,
|
||||||
|
"vm_swap_bytes": 1073737728
|
||||||
|
},
|
||||||
|
"label": "warmed-4g",
|
||||||
|
"qdrant_rss_bytes": 4213583872,
|
||||||
|
"resident": {
|
||||||
|
"active_file_bytes": 320946176,
|
||||||
|
"apparent_bytes": {
|
||||||
|
"graph": 372498112,
|
||||||
|
"id_tracker": 60267034,
|
||||||
|
"originals": 7120776216,
|
||||||
|
"payload": 857412510,
|
||||||
|
"quantized": 1798737736
|
||||||
|
},
|
||||||
|
"file_cache_bytes": 532504576,
|
||||||
|
"inactive_file_bytes": 211570688,
|
||||||
|
"on_disk_bytes": {
|
||||||
|
"graph": 372576256,
|
||||||
|
"id_tracker": 60268544,
|
||||||
|
"originals": 7120822272,
|
||||||
|
"payload": 668332032,
|
||||||
|
"quantized": 1798750208
|
||||||
|
},
|
||||||
|
"on_disk_total_bytes": 10020749312,
|
||||||
|
"pgmajfault": 165053,
|
||||||
|
"share_of_storage_cached": 0.0503,
|
||||||
|
"storage_blocks_bytes": 10581270528,
|
||||||
|
"workingset_refault_file": 85705
|
||||||
|
},
|
||||||
|
"storage_apparent_bytes": 10827366529,
|
||||||
|
"storage_breakdown": "15\t/qdrant/storage/collections/dbpedia_full/0/applied_seq.json\n103\t/qdrant/storage/collections/dbpedia_full/0/newest_clocks.json\n87\t/qdrant/storage/collections/dbpedia_full/0/replica_state.json\n10726701896\t/qdrant/storage/collections/dbpedia_full/0/segments\n21\t/qdrant/storage/collections/dbpedia_full/0/shard_config.json\n100663314\t/qdrant/storage/collections/dbpedia_full/0/wal",
|
||||||
|
"storage_bytes": 10581270528
|
||||||
|
}
|
||||||
@@ -0,0 +1,13 @@
|
|||||||
|
{
|
||||||
|
"collection": "dbpedia_full",
|
||||||
|
"depth": 200,
|
||||||
|
"hnsw_ef": 128,
|
||||||
|
"label": "cold1-4g-int8",
|
||||||
|
"max_ms": 72.688,
|
||||||
|
"mean_ms": 20.549,
|
||||||
|
"memory_limit": "4294967296/4294967296",
|
||||||
|
"p50_ms": 18.538,
|
||||||
|
"p95_ms": 33.24,
|
||||||
|
"queries": 400,
|
||||||
|
"total_seconds": 8.22
|
||||||
|
}
|
||||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user