Merge branch 'io_uring' of https://github.com/qdrant/landing_page into io_uring

qdrant-landing/content/articles/io_uring.md

@@ -121,38 +121,10 @@ entry or setting the value to `false`.
 
 To run the benchmark, use a test instance of Qdrant; if necessary spin up a
 docker container and load a snapshot of the collection you want to benchmark
-with. You can copy and edit the following bash script to run the benchmark.
-
-```bash
-export QDRANT_URL="<qdrant url>"
-export COLLECTION="<collection name>"
-export CONCURRENCY=4 # or 8
-export OVERSAMPLING=1 # or 4
-
-time seq 1000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
-	"http://${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
-	-H 'Content-Type: application/json' --data-raw \
-	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
-	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
-	-s | jq .status | wc -l
-
-time seq 1000 2000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
-	"${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
-	-H 'Content-Type: application/json' --data-raw \
-	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
-	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
-	-s | jq .status | wc -l
-
-time seq 2000 3000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
-	"${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
-	-H 'Content-Type: application/json' --data-raw \
-	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
-	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
-	-s | jq .status | wc -l
-```
-
-Run this script with and without enabling `storage.async_scorer` and once. You
-can measure IO usage with `iostat` from another console.
+with. You can copy and edit our [benchmark script](/articles_data/io_uring/rescore-benchmark.sh)
+to run the benchmark. Run the script with and without enabling
+`storage.async_scorer` and once. You can measure IO usage with `iostat` from
+another console.
 
 For our benchmark, we chose the laion dataset picking 5 million 768d entries.
 We enabled scalar quantization + HNSW with m=16 and ef_construct=512.
@@ -212,6 +184,6 @@ Therefore before you roll out io\_uring, perform the above or a similar
 benchmark with both mmap and io\_uring and measure both wall time and IOps).
 Benchmarks are always highly use-case dependent, so your mileage may vary.
 Still, doing that benchmark once is a small price for the possible performance
-wins. Also please 
-[tell us](https://discord.com/channels/907569970500743200/907569971079569410) 
+wins. Also please
+[tell us](https://discord.com/channels/907569970500743200/907569971079569410)
 about your benchmark results!

qdrant-landing/static/articles_data/io_uring/rescore-benchmark.sh

@@ -0,0 +1,26 @@
+#!/bin/bash
+export QDRANT_URL="<qdrant url>"
+export COLLECTION="<collection name>"
+export CONCURRENCY=4 # or 8
+export OVERSAMPLING=1 # or 4
+
+time seq 1000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
+	"http://${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
+	-H 'Content-Type: application/json' --data-raw \
+	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
+	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
+	-s | jq .status | wc -l
+
+time seq 1000 2000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
+	"${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
+	-H 'Content-Type: application/json' --data-raw \
+	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
+	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
+	-s | jq .status | wc -l
+
+time seq 2000 3000 | xargs -P ${CONCURRENCY} -I {} curl -L -X POST \
+	"${QDRANT_URL}/collections/${COLLECTION}/points/recommend" \
+	-H 'Content-Type: application/json' --data-raw \
+	"{ \"limit\": 10, \"positive\": [{}], \"params\": { \"quantization\": \
+	{ \"rescore\": true, \"oversampling\": ${OVERSAMPLING} } } }" \
+	-s | jq .status | wc -l