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https://gitee.com/milvus-io/milvus.git
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241 lines
7.2 KiB
Go
241 lines
7.2 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 expression
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import (
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"context"
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"encoding/json"
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"fmt"
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"testing"
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"github.com/stretchr/testify/suite"
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"go.uber.org/zap"
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"google.golang.org/protobuf/proto"
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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/pkg/common"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type ExpressionSuite struct {
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integration.MiniClusterSuite
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dbName string
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collectionName string
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dim int
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rowNum int
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}
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func (s *ExpressionSuite) setParams() {
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prefix := "TestExpression"
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s.dbName = ""
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s.collectionName = prefix + funcutil.GenRandomStr()
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s.dim = 128
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s.rowNum = 100
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}
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func newJSONData(fieldName string, rowNum int) *schemapb.FieldData {
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jsonData := make([][]byte, 0, rowNum)
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for i := 0; i < rowNum; i++ {
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data := map[string]interface{}{
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"A": i,
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"B": rowNum - i,
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"C": []int{i, rowNum - i},
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"D": fmt.Sprintf("name-%d", i),
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"E": map[string]interface{}{
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"F": i,
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"G": i + 10,
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},
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"str1": `abc\"def-` + string(rune(i)),
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"str2": fmt.Sprintf("abc\"def-%d", i),
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"str3": fmt.Sprintf("abc\ndef-%d", i),
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"str4": fmt.Sprintf("abc\367-%d", i),
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}
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if i%2 == 0 {
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data = map[string]interface{}{
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"B": rowNum - i,
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"C": []int{i, rowNum - i},
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"D": fmt.Sprintf("name-%d", i),
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"E": map[string]interface{}{
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"F": i,
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"G": i + 10,
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},
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}
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}
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if i == 100 {
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data = nil
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}
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jsonBytes, err := json.MarshalIndent(data, "", " ")
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if err != nil {
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return nil
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}
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jsonData = append(jsonData, jsonBytes)
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}
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return &schemapb.FieldData{
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Type: schemapb.DataType_JSON,
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FieldName: fieldName,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_JsonData{
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JsonData: &schemapb.JSONArray{
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Data: jsonData,
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},
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},
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},
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},
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}
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}
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func (s *ExpressionSuite) insertFlushIndexLoad(ctx context.Context, fieldData []*schemapb.FieldData) {
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hashKeys := integration.GenerateHashKeys(s.rowNum)
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insertResult, err := s.Cluster.Proxy.Insert(ctx, &milvuspb.InsertRequest{
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DbName: s.dbName,
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CollectionName: s.collectionName,
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FieldsData: fieldData,
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HashKeys: hashKeys,
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NumRows: uint32(s.rowNum),
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})
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s.NoError(err)
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s.NoError(merr.Error(insertResult.GetStatus()))
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// flush
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flushResp, err := s.Cluster.Proxy.Flush(ctx, &milvuspb.FlushRequest{
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DbName: s.dbName,
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CollectionNames: []string{s.collectionName},
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})
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s.NoError(err)
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segmentIDs, has := flushResp.GetCollSegIDs()[s.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()[s.collectionName]
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s.True(has)
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segments, err := s.Cluster.MetaWatcher.ShowSegments()
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s.NoError(err)
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s.NotEmpty(segments)
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for _, segment := range segments {
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log.Info("ShowSegments result", zap.String("segment", segment.String()))
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}
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s.WaitForFlush(ctx, ids, flushTs, s.dbName, s.collectionName)
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// create index
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createIndexStatus, err := s.Cluster.Proxy.CreateIndex(context.TODO(), &milvuspb.CreateIndexRequest{
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CollectionName: s.collectionName,
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FieldName: integration.FloatVecField,
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IndexName: "_default",
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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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s.WaitForIndexBuilt(context.TODO(), s.collectionName, integration.FloatVecField)
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log.Info("=========================Index created=========================")
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// load
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loadStatus, err := s.Cluster.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: s.dbName,
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CollectionName: s.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(), s.collectionName)
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log.Info("=========================Collection loaded=========================")
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}
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func (s *ExpressionSuite) setupData() {
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c := s.Cluster
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ctx, cancel := context.WithCancel(c.GetContext())
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defer cancel()
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schema := integration.ConstructSchema(s.collectionName, s.dim, true)
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schema.EnableDynamicField = true
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marshaledSchema, err := proto.Marshal(schema)
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s.NoError(err)
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createCollectionStatus, err := c.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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DbName: s.dbName,
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CollectionName: s.collectionName,
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Schema: marshaledSchema,
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ShardsNum: 2,
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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.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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s.NoError(err)
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err = merr.Error(showCollectionsResp.GetStatus())
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s.NoError(err)
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describeCollectionResp, err := c.Proxy.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{CollectionName: s.collectionName})
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s.NoError(err)
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err = merr.Error(describeCollectionResp.GetStatus())
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s.NoError(err)
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s.True(describeCollectionResp.Schema.EnableDynamicField)
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s.Equal(2, len(describeCollectionResp.GetSchema().GetFields()))
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, s.rowNum, s.dim)
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jsonData := newJSONData(common.MetaFieldName, s.rowNum)
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jsonData.IsDynamic = true
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s.insertFlushIndexLoad(ctx, []*schemapb.FieldData{fVecColumn, jsonData})
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}
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type testCase struct {
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expr string
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topK int
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resNum int
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}
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func (s *ExpressionSuite) searchWithExpression() {
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testcases := []testCase{
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{"A + 5 > 0", 10, 10},
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{"B - 5 >= 0", 10, 10},
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{"C[0] * 5 < 500", 10, 10},
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{"E['F'] / 5 <= 100", 10, 10},
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{"E['G'] % 5 == 4", 10, 10},
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{"A / 5 != 4", 10, 10},
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}
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for _, c := range testcases {
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params := integration.GetSearchParams(integration.IndexFaissIDMap, metric.IP)
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searchReq := integration.ConstructSearchRequest(s.dbName, s.collectionName, c.expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, 1, s.dim, c.topK, -1)
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searchResult, err := s.Cluster.Proxy.Search(context.Background(), searchReq)
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s.NoError(err)
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err = merr.Error(searchResult.GetStatus())
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s.NoError(err)
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s.Equal(c.resNum, len(searchResult.GetResults().GetScores()))
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log.Info(fmt.Sprintf("=========================Search done with expr:%s =========================", c.expr))
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}
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}
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func (s *ExpressionSuite) TestExpression() {
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s.setParams()
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s.setupData()
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s.searchWithExpression()
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}
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func TestExpression(t *testing.T) {
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suite.Run(t, new(ExpressionSuite))
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}
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