Package io.metaloom.qdrant.client.grpc.proto

Class PointsGrpc.PointsFutureStub

java.lang.Object

io.grpc.stub.AbstractStub<S>

io.grpc.stub.AbstractFutureStub<PointsGrpc.PointsFutureStub>

io.metaloom.qdrant.client.grpc.proto.PointsGrpc.PointsFutureStub

Enclosing class:

PointsGrpc

public static final class PointsGrpc.PointsFutureStub
extends io.grpc.stub.AbstractFutureStub<PointsGrpc.PointsFutureStub>

Nested Class Summary

Nested classes/interfaces inherited from class io.grpc.stub.AbstractStub

io.grpc.stub.AbstractStub.StubFactory<T extends io.grpc.stub.AbstractStub<T>>

Method Summary

Modifier and Type	Method	Description
protected PointsGrpc.PointsFutureStub	build(io.grpc.Channel channel, io.grpc.CallOptions callOptions)
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	clearPayload(Points.ClearPayloadPoints request)	Remove all payload for specified points
com.google.common.util.concurrent.ListenableFuture<Points.CountResponse>	count(Points.CountPoints request)	Count points in collection with given filtering conditions
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	createFieldIndex(Points.CreateFieldIndexCollection request)	Create index for field in collection
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	delete(Points.DeletePoints request)	Delete points
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	deleteFieldIndex(Points.DeleteFieldIndexCollection request)	Delete field index for collection
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	deletePayload(Points.DeletePayloadPoints request)	Delete specified key payload for points
com.google.common.util.concurrent.ListenableFuture<Points.GetResponse>	get(Points.GetPoints request)	Retrieve points
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	overwritePayload(Points.SetPayloadPoints request)	Overwrite payload for points
com.google.common.util.concurrent.ListenableFuture<Points.RecommendResponse>	recommend(Points.RecommendPoints request)	Look for the points which are closer to stored positive examples and at the same time further to negative examples.
com.google.common.util.concurrent.ListenableFuture<Points.RecommendBatchResponse>	recommendBatch(Points.RecommendBatchPoints request)	Look for the points which are closer to stored positive examples and at the same time further to negative examples.
com.google.common.util.concurrent.ListenableFuture<Points.ScrollResponse>	scroll(Points.ScrollPoints request)	Iterate over all or filtered points points
com.google.common.util.concurrent.ListenableFuture<Points.SearchResponse>	search(Points.SearchPoints request)	Retrieve closest points based on vector similarity and given filtering conditions
com.google.common.util.concurrent.ListenableFuture<Points.SearchBatchResponse>	searchBatch(Points.SearchBatchPoints request)	Retrieve closest points based on vector similarity and given filtering conditions
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	setPayload(Points.SetPayloadPoints request)	Set payload for points
com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse>	upsert(Points.UpsertPoints request)	Perform insert + updates on points.

Methods inherited from class io.grpc.stub.AbstractFutureStub

newStub, newStub

Methods inherited from class io.grpc.stub.AbstractStub

getCallOptions, getChannel, withCallCredentials, withChannel, withCompression, withDeadline, withDeadlineAfter, withExecutor, withInterceptors, withMaxInboundMessageSize, withMaxOutboundMessageSize, withOption, withWaitForReady

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

build

protected PointsGrpc.PointsFutureStub build(io.grpc.Channel channel,
 io.grpc.CallOptions callOptions)

Specified by:

build in class io.grpc.stub.AbstractStub<PointsGrpc.PointsFutureStub>

upsert

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> upsert(Points.UpsertPoints request)

Perform insert + updates on points. If point with given ID already exists - it will be overwritten.
 

delete

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> delete(Points.DeletePoints request)

Delete points
 

get

public com.google.common.util.concurrent.ListenableFuture<Points.GetResponse> get(Points.GetPoints request)

Retrieve points
 

setPayload

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> setPayload(Points.SetPayloadPoints request)

Set payload for points
 

overwritePayload

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> overwritePayload(Points.SetPayloadPoints request)

Overwrite payload for points
 

deletePayload

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> deletePayload(Points.DeletePayloadPoints request)

Delete specified key payload for points
 

clearPayload

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> clearPayload(Points.ClearPayloadPoints request)

Remove all payload for specified points
 

createFieldIndex

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> createFieldIndex(Points.CreateFieldIndexCollection request)

Create index for field in collection
 

deleteFieldIndex

public com.google.common.util.concurrent.ListenableFuture<Points.PointsOperationResponse> deleteFieldIndex(Points.DeleteFieldIndexCollection request)

Delete field index for collection
 

search

public com.google.common.util.concurrent.ListenableFuture<Points.SearchResponse> search(Points.SearchPoints request)

Retrieve closest points based on vector similarity and given filtering conditions
 

searchBatch

public com.google.common.util.concurrent.ListenableFuture<Points.SearchBatchResponse> searchBatch(Points.SearchBatchPoints request)

Retrieve closest points based on vector similarity and given filtering conditions
 

scroll

public com.google.common.util.concurrent.ListenableFuture<Points.ScrollResponse> scroll(Points.ScrollPoints request)

Iterate over all or filtered points points
 

recommend

public com.google.common.util.concurrent.ListenableFuture<Points.RecommendResponse> recommend(Points.RecommendPoints request)

Look for the points which are closer to stored positive examples and at the same time further to negative examples.
 

recommendBatch

public com.google.common.util.concurrent.ListenableFuture<Points.RecommendBatchResponse> recommendBatch(Points.RecommendBatchPoints request)

Look for the points which are closer to stored positive examples and at the same time further to negative examples.
 

count

public com.google.common.util.concurrent.ListenableFuture<Points.CountResponse> count(Points.CountPoints request)

Count points in collection with given filtering conditions