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https://gitee.com/milvus-io/milvus.git
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c4f3f0ce4c
ref: https://github.com/milvus-io/milvus/issues/42148 --------- Signed-off-by: SpadeA <tangchenjie1210@gmail.com> Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
344 lines
11 KiB
Go
344 lines
11 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package datanode
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import (
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"context"
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"fmt"
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"strconv"
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"testing"
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"github.com/stretchr/testify/suite"
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"google.golang.org/protobuf/proto"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/proxy"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/log"
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"github.com/milvus-io/milvus/pkg/v2/util/merr"
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"github.com/milvus-io/milvus/pkg/v2/util/metric"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type ArrayStructDataNodeSuite struct {
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integration.MiniClusterSuite
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dim int
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rowsPerCollection int
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generatedFieldData map[int64]*schemapb.FieldData
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}
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func (s *ArrayStructDataNodeSuite) setupParam() {
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s.dim = 32
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s.rowsPerCollection = 10
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s.generatedFieldData = make(map[int64]*schemapb.FieldData)
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}
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func (s *ArrayStructDataNodeSuite) loadCollection(collectionName string) {
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c := s.Cluster
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dbName := ""
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schema := integration.ConstructSchema(collectionName, s.dim, true)
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sId := &schemapb.FieldSchema{
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FieldID: 103,
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Name: integration.StructSubInt32Field,
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IsPrimaryKey: false,
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Description: "",
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DataType: schemapb.DataType_Array,
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ElementType: schemapb.DataType_Int32,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxCapacityKey,
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Value: "100",
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},
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},
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IndexParams: nil,
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AutoID: false,
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}
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sVec := &schemapb.FieldSchema{
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FieldID: 104,
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Name: integration.StructSubFloatVecField,
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IsPrimaryKey: false,
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Description: "",
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DataType: schemapb.DataType_ArrayOfVector,
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ElementType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: strconv.Itoa(s.dim),
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},
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{
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Key: common.MaxCapacityKey,
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Value: "100",
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},
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},
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IndexParams: nil,
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AutoID: false,
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}
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structF := &schemapb.StructArrayFieldSchema{
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FieldID: 102,
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Name: integration.StructArrayField,
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Fields: []*schemapb.FieldSchema{sId, sVec},
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}
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schema.StructArrayFields = []*schemapb.StructArrayFieldSchema{structF}
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marshaledSchema, err := proto.Marshal(schema)
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s.NoError(err)
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createCollectionStatus, err := c.MilvusClient.CreateCollection(context.TODO(), &milvuspb.CreateCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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Schema: marshaledSchema,
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ShardsNum: common.DefaultShardsNum,
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})
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s.NoError(err)
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err = merr.Error(createCollectionStatus)
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s.NoError(err)
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showCollectionsResp, err := c.MilvusClient.ShowCollections(context.TODO(), &milvuspb.ShowCollectionsRequest{})
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s.NoError(err)
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s.True(merr.Ok(showCollectionsResp.GetStatus()))
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rowNum := s.rowsPerCollection
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, s.dim)
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hashKeys := integration.GenerateHashKeys(rowNum)
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structColumn := integration.NewStructArrayFieldData(schema.StructArrayFields[0], integration.StructArrayField, rowNum, s.dim)
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s.generatedFieldData[101] = fVecColumn
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s.generatedFieldData[structColumn.FieldId] = structColumn
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s.generatedFieldData[structColumn.GetStructArrays().Fields[0].FieldId] = structColumn.GetStructArrays().Fields[0]
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s.generatedFieldData[structColumn.GetStructArrays().Fields[1].FieldId] = structColumn.GetStructArrays().Fields[1]
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insertResult, err := c.MilvusClient.Insert(context.TODO(), &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn, structColumn},
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HashKeys: hashKeys,
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NumRows: uint32(rowNum),
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})
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s.NoError(err)
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s.True(merr.Ok(insertResult.GetStatus()))
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log.Info("=========================Data insertion finished=========================")
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// flush
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flushResp, err := c.MilvusClient.Flush(context.TODO(), &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(err)
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segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
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ids := segmentIDs.GetData()
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s.Require().NotEmpty(segmentIDs)
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s.Require().True(has)
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flushTs, has := flushResp.GetCollFlushTs()[collectionName]
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s.True(has)
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s.WaitForFlush(context.TODO(), ids, flushTs, dbName, collectionName)
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segments, err := c.ShowSegments(collectionName)
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s.NoError(err)
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s.NotEmpty(segments)
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log.Info("=========================Data flush finished=========================")
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// create index
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createIndexStatus, err := c.MilvusClient.CreateIndex(context.TODO(), &milvuspb.CreateIndexRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldName: integration.FloatVecField,
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IndexName: "float_vector_index",
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ExtraParams: integration.ConstructIndexParam(s.dim, integration.IndexFaissIvfFlat, metric.IP),
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})
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s.NoError(err)
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err = merr.Error(createIndexStatus)
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s.NoError(err)
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log.Info("=========================Index created for float vector=========================")
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s.WaitForIndexBuilt(context.TODO(), collectionName, integration.FloatVecField)
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subFieldName := proxy.ConcatStructFieldName(integration.StructArrayField, integration.StructSubFloatVecField)
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createIndexResult, err := c.MilvusClient.CreateIndex(context.TODO(), &milvuspb.CreateIndexRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldName: subFieldName,
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IndexName: "array_of_vector_index",
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ExtraParams: integration.ConstructIndexParam(s.dim, integration.IndexHNSW, metric.MaxSim),
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})
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s.NoError(err)
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s.Require().Equal(createIndexResult.GetErrorCode(), commonpb.ErrorCode_Success)
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s.WaitForIndexBuilt(context.TODO(), collectionName, subFieldName)
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log.Info("=========================Index created for array of vector=========================")
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(context.TODO(), &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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err = merr.Error(loadStatus)
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s.NoError(err)
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s.WaitForLoad(context.TODO(), collectionName)
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log.Info("=========================Collection loaded=========================")
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}
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func (s *ArrayStructDataNodeSuite) checkCollections() bool {
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req := &milvuspb.ShowCollectionsRequest{
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DbName: "",
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TimeStamp: 0, // means now
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}
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resp, err := s.Cluster.MilvusClient.ShowCollections(context.TODO(), req)
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s.NoError(err)
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s.Equal(len(resp.CollectionIds), 1)
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notLoaded := 0
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loaded := 0
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for _, name := range resp.CollectionNames {
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loadProgress, err := s.Cluster.MilvusClient.GetLoadingProgress(context.TODO(), &milvuspb.GetLoadingProgressRequest{
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DbName: "",
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CollectionName: name,
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})
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s.NoError(err)
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if loadProgress.GetProgress() != int64(100) {
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notLoaded++
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} else {
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loaded++
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}
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}
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log.Info(fmt.Sprintf("loading status: %d/%d", loaded, len(resp.GetCollectionNames())))
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return notLoaded == 0
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}
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func (s *ArrayStructDataNodeSuite) checkFieldsData(fieldsData []*schemapb.FieldData) {
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for _, fieldData := range fieldsData {
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for i := 0; i < s.rowsPerCollection; i++ {
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switch fieldData.FieldName {
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case integration.Int64Field:
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break
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case integration.FloatVecField:
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for j := 0; j < s.dim; j++ {
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s.Equal(fieldData.GetVectors().GetFloatVector().Data[j],
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s.generatedFieldData[fieldData.FieldId].GetVectors().GetFloatVector().Data[j])
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}
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case integration.StructArrayField:
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for _, field := range fieldData.GetStructArrays().Fields {
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if field.FieldName == integration.StructSubInt32Field {
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getData := field.GetScalars().GetArrayData().Data[i]
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generatedData := s.generatedFieldData[field.FieldId].GetScalars().GetArrayData().Data[i]
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arrayLen := len(getData.GetIntData().Data)
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s.Equal(arrayLen, len(generatedData.GetIntData().Data))
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for j := 0; j < arrayLen; j++ {
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s.Equal(getData.GetIntData().Data[j], generatedData.GetIntData().Data[j])
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}
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} else if field.FieldName == integration.StructSubFloatVecField {
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getData := field.GetVectors().GetVectorArray().Data[i]
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generatedData := s.generatedFieldData[field.FieldId].GetVectors().GetVectorArray().Data[i]
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length := len(getData.GetFloatVector().Data)
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s.Equal(length, len(generatedData.GetFloatVector().Data))
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for j := 0; j < length; j++ {
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s.Equal(getData.GetFloatVector().Data[j], generatedData.GetFloatVector().Data[j])
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}
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}
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}
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default:
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s.Fail(fmt.Sprintf("unsupported field type: %s", fieldData.FieldName))
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}
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}
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}
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}
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func (s *ArrayStructDataNodeSuite) query(collectionName string) {
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c := s.Cluster
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var err error
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// Query
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queryReq := &milvuspb.QueryRequest{
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Base: nil,
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CollectionName: collectionName,
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PartitionNames: nil,
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Expr: "",
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OutputFields: []string{"*"},
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TravelTimestamp: 0,
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GuaranteeTimestamp: 0,
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QueryParams: []*commonpb.KeyValuePair{
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{
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Key: "limit",
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Value: strconv.Itoa(s.rowsPerCollection),
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},
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},
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}
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queryResult, err := c.MilvusClient.Query(context.TODO(), queryReq)
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s.NoError(err)
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s.Equal(len(queryResult.FieldsData), 3)
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s.checkFieldsData(queryResult.FieldsData)
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queryReq = &milvuspb.QueryRequest{
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Base: nil,
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CollectionName: collectionName,
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PartitionNames: nil,
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Expr: "",
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OutputFields: []string{integration.StructArrayField},
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TravelTimestamp: 0,
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GuaranteeTimestamp: 0,
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QueryParams: []*commonpb.KeyValuePair{
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{
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Key: "limit",
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Value: strconv.Itoa(s.rowsPerCollection),
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},
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},
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}
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queryResult, err = c.MilvusClient.Query(context.TODO(), queryReq)
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s.NoError(err)
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// struct array field + pk
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s.Equal(len(queryResult.FieldsData), 2)
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s.checkFieldsData(queryResult.FieldsData)
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// Search
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expr := fmt.Sprintf("%s > 0", integration.Int64Field)
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nq := 10
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topk := 10
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roundDecimal := -1
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subFieldName := proxy.ConcatStructFieldName(integration.StructArrayField, integration.StructSubFloatVecField)
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params := integration.GetSearchParams(integration.IndexHNSW, metric.MaxSim)
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searchReq := integration.ConstructEmbeddingListSearchRequest("", collectionName, expr,
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subFieldName, schemapb.DataType_FloatVector, []string{integration.StructArrayField}, metric.MaxSim, params, nq, s.dim, topk, roundDecimal)
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searchResult, _ := c.MilvusClient.Search(context.TODO(), searchReq)
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err = merr.Error(searchResult.GetStatus())
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s.NoError(err)
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}
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func (s *ArrayStructDataNodeSuite) TestSwapQN() {
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s.setupParam()
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s.Cluster.AddDataNode()
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cn := "new_collection_a"
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s.loadCollection(cn)
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s.query(cn)
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s.checkCollections()
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}
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func TestArrayStructDataNodeUtil(t *testing.T) {
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// skip struct array test
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suite.Run(t, new(ArrayStructDataNodeSuite))
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}
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