queryAsync()
Queries entities in a collection asynchronously and returns a future.
public CompletableFuture<QueryResp> queryAsync(QueryReq request)
This method uses the same request parameters as query() but returns a CompletableFuture<QueryResp> immediately. Use the returned future to consume the result or handle the exceptional completion when the operation fails.
Request Syntax
CompletableFuture<QueryResp> future = client.queryAsync(QueryReq.builder()
.collectionName(String collectionName)
.filter(String filter)
.outputFields(List<String> outputFields)
.build());
For the full list of QueryReq builder methods, refer to query().
RETURN TYPE:
CompletableFuture
RETURNS:
A future completed with a QueryResp object that contains query rows and execution metrics, or completed exceptionally when the operation fails. The QueryResp object exposes the following getters:
getQueryResults()(List) - The query result rows. Each QueryResult has the following getters:
getEntity()(Map) - The field values of the result row.
getElementOffset()(Long) -For struct-array element-level queries (via
element_filter), the index of the matched element within the array. Null for ordinary queries.
getSessionTs()(long) -The session timestamp used for the query.
getCost()(Long) -The time cost of the query operation, in milliseconds.
getScannedRemoteBytes()(Long) -The number of bytes scanned from remote storage.
getScannedTotalBytes()(Long) -The total number of bytes scanned during the query.
getCacheHitRatio()(Float) -The cache hit ratio of the query.
EXCEPTIONS:
-
This exception will be raised when request validation, transport, or server execution fails.
Example
import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.common.DataType;
import io.milvus.v2.common.IndexParam;
import io.milvus.v2.service.collection.request.AddFieldReq;
import io.milvus.v2.service.collection.request.CreateCollectionReq;
import io.milvus.v2.service.collection.request.LoadCollectionReq;
import io.milvus.v2.service.vector.request.InsertReq;
import io.milvus.v2.service.vector.request.QueryReq;
import io.milvus.v2.service.vector.response.QueryResp;
import com.google.gson.Gson;
import com.google.gson.JsonObject;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.CompletableFuture;
ConnectConfig connectConfig = ConnectConfig.builder()
.uri("http://localhost:19530")
.token("root:Milvus")
.build();
MilvusClientV2 client = new MilvusClientV2(connectConfig);
// Create a collection with "id", "vector", "name", and "age" fields
CreateCollectionReq.CollectionSchema collectionSchema = MilvusClientV2.CreateSchema();
collectionSchema.addField(AddFieldReq.builder().fieldName("id").dataType(DataType.Int64).isPrimaryKey(Boolean.TRUE).autoID(Boolean.FALSE).build());
collectionSchema.addField(AddFieldReq.builder().fieldName("vector").dataType(DataType.FloatVector).dimension(2).build());
collectionSchema.addField(AddFieldReq.builder().fieldName("name").dataType(DataType.VarChar).maxLength(128).build());
collectionSchema.addField(AddFieldReq.builder().fieldName("age").dataType(DataType.Int64).build());
IndexParam indexParam = IndexParam.builder()
.fieldName("vector")
.metricType(IndexParam.MetricType.COSINE)
.build();
client.createCollection(CreateCollectionReq.builder()
.collectionName("my_collection")
.collectionSchema(collectionSchema)
.indexParams(Arrays.asList(indexParam))
.build());
// Insert rows
List<JsonObject> rows = new ArrayList<>();
for (long id = 0; id < 3; id++) {
JsonObject row = new JsonObject();
row.addProperty("id", id);
row.add("vector", new Gson().toJsonTree(new float[]{id * 0.1f, id * 0.2f}));
row.addProperty("name", "name_" + id);
row.addProperty("age", 20L + id);
rows.add(row);
}
client.insert(InsertReq.builder()
.collectionName("my_collection")
.data(rows)
.build());
// Load the collection
client.loadCollection(LoadCollectionReq.builder().collectionName("my_collection").build());
CompletableFuture<QueryResp> future = client.queryAsync(QueryReq.builder()
.collectionName("my_collection")
.filter("age > 20")
.outputFields(Arrays.asList("name", "age"))
.build());
QueryResp response = future.get();