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fix: fix python examples on distributed deployment page (#453)

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This commit is contained in:
George
2023-12-08 19:25:31 +01:00
committed by GitHub
parent 7a21db6770
commit 120ffe6e0d
1 changed files with 8 additions and 7 deletions
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qdrant-landing/content/documentation/guides/distributed_deployment.md
+8 -7
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@@ -152,7 +152,7 @@ from qdrant_client.http import models
client = QdrantClient("localhost", port=6333)
client.create_collection(
name="{collection_name}",
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
shard_number=6,
)
@@ -262,11 +262,12 @@ from qdrant_client.http import models
client = QdrantClient("localhost", port=6333)
client.create_collection(
name="{collection_name}",
collection_name="{collection_name}",
shard_number=1,
sharding_method=models.ShardingMethod.CUSTOM,
# ... other collection parameters
)
client.create_shard_key("{collection_name}", "user_1")
```
```typescript
@@ -333,15 +334,15 @@ from qdrant_client.http import models
client = QdrantClient("localhost", port=6333)
client.upsert_points(
client.upsert(
collection_name="{collection_name}",
points=[
models.Point(
models.PointStruct(
id=1111,
vector=[0.1, 0.2, 0.3],
),
],
shard_key="user_1",
shard_key_selector="user_1",
)
```
@@ -505,7 +506,7 @@ from qdrant_client.http import models
client = QdrantClient("localhost", port=6333)
client.create_collection(
name="{collection_name}",
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
shard_number=6,
replication_factor=2,
@@ -701,7 +702,7 @@ from qdrant_client.http import models
client = QdrantClient("localhost", port=6333)
client.create_collection(
name="{collection_name}",
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
shard_number=6,
replication_factor=2,