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docs: Java client usage (#489)

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This commit is contained in:
Anush
2024-01-02 16:32:33 +05:30
committed by GitHub
parent 4e9b0d9555
commit e29c2f54ac
14 changed files with 1756 additions and 6 deletions
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qdrant-landing/content/documentation/concepts/storage.md
+82
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@@ -104,6 +104,26 @@ client
.await?;
```
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.Distance;
import io.qdrant.client.grpc.Collections.VectorParams;
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client
.createCollectionAsync(
"{collection_name}",
VectorParams.newBuilder()
.setSize(768)
.setDistance(Distance.Cosine)
.setOnDisk(true)
.build())
.get();
```
This will create a collection with all vectors immediately stored in memmap storage.
This is the recommended way, in case your Qdrant instance operates with fast disks and you are working with large collections.
@@ -186,6 +206,36 @@ client
.await?;
```
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.CreateCollection;
import io.qdrant.client.grpc.Collections.Distance;
import io.qdrant.client.grpc.Collections.OptimizersConfigDiff;
import io.qdrant.client.grpc.Collections.VectorParams;
import io.qdrant.client.grpc.Collections.VectorsConfig;
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("{collection_name}")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParams(
VectorParams.newBuilder()
.setSize(768)
.setDistance(Distance.Cosine)
.build())
.build())
.setOptimizersConfig(
OptimizersConfigDiff.newBuilder().setMemmapThreshold(20000).build())
.build())
.get();
```
The rule of thumb to set the memmap threshold parameter is simple:
- if you have a balanced use scenario - set memmap threshold the same as `indexing_threshold` (default is 20000). In this case the optimizer will not make any extra runs and will optimize all thresholds at once.
@@ -276,6 +326,38 @@ client
.await?;
```
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.CreateCollection;
import io.qdrant.client.grpc.Collections.Distance;
import io.qdrant.client.grpc.Collections.HnswConfigDiff;
import io.qdrant.client.grpc.Collections.OptimizersConfigDiff;
import io.qdrant.client.grpc.Collections.VectorParams;
import io.qdrant.client.grpc.Collections.VectorsConfig;
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("{collection_name}")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParams(
VectorParams.newBuilder()
.setSize(768)
.setDistance(Distance.Cosine)
.build())
.build())
.setOptimizersConfig(
OptimizersConfigDiff.newBuilder().setMemmapThreshold(20000).build())
.setHnswConfig(HnswConfigDiff.newBuilder().setOnDisk(true).build())
.build())
.get();
```
## Payload storage
Qdrant supports two types of payload storages: InMemory and OnDisk.