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493 lines
15 KiB
Go
493 lines
15 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 importv2
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import (
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"context"
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"fmt"
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"testing"
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"time"
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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/v3/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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"github.com/milvus-io/milvus/internal/util/importutilv2"
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"github.com/milvus-io/milvus/internal/util/indexparamcheck"
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"github.com/milvus-io/milvus/pkg/v3/common"
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"github.com/milvus-io/milvus/pkg/v3/mlog"
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"github.com/milvus-io/milvus/pkg/v3/proto/internalpb"
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"github.com/milvus-io/milvus/pkg/v3/util/funcutil"
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"github.com/milvus-io/milvus/pkg/v3/util/metric"
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"github.com/milvus-io/milvus/pkg/v3/util/paramtable"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type BulkInsertSuite struct {
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integration.MiniClusterSuite
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failed bool
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failedReason string
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pkType schemapb.DataType
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fileType importutilv2.FileType
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vecType schemapb.DataType
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indexType indexparamcheck.IndexType
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metricType metric.MetricType
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expr string
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testType schemapb.DataType
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}
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func (s *BulkInsertSuite) SetupSuite() {
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s.WithMilvusConfig(paramtable.Get().RootCoordCfg.DmlChannelNum.Key, "4")
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s.MiniClusterSuite.SetupSuite()
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}
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func (s *BulkInsertSuite) SetupTest() {
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s.failed = false
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s.fileType = importutilv2.Parquet
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.indexType = "HNSW"
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s.metricType = metric.L2
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s.expr = ""
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s.testType = schemapb.DataType_None
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}
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func (s *BulkInsertSuite) run() {
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const (
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rowCount = 100
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)
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c := s.Cluster
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ctx, cancel := context.WithTimeout(c.GetContext(), 240*time.Second)
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defer cancel()
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collectionName := "TestBulkInsert" + funcutil.RandomString(8)
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var schema *schemapb.CollectionSchema
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fieldSchema1 := &schemapb.FieldSchema{FieldID: 100, Name: "id", DataType: s.pkType, TypeParams: []*commonpb.KeyValuePair{{Key: common.MaxLengthKey, Value: "128"}}, IsPrimaryKey: true, AutoID: false}
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fieldSchema2 := &schemapb.FieldSchema{FieldID: 101, Name: "image_path", DataType: schemapb.DataType_VarChar, TypeParams: []*commonpb.KeyValuePair{{Key: common.MaxLengthKey, Value: "65535"}}}
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fieldSchema3 := &schemapb.FieldSchema{FieldID: 102, Name: "embeddings", DataType: s.vecType, TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "128"}}}
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fieldSchema4 := &schemapb.FieldSchema{FieldID: 103, Name: "embeddings", DataType: s.vecType, TypeParams: []*commonpb.KeyValuePair{}}
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fields := []*schemapb.FieldSchema{fieldSchema1, fieldSchema2}
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if s.vecType != schemapb.DataType_SparseFloatVector {
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fields = append(fields, fieldSchema3)
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} else {
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fields = append(fields, fieldSchema4)
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}
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// Append extra test field (e.g., Geometry) when specified
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if s.testType != schemapb.DataType_None {
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testFieldName := "testField" + schemapb.DataType_name[int32(s.testType)]
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extraField := &schemapb.FieldSchema{FieldID: 104, Name: testFieldName, DataType: s.testType}
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fields = append(fields, extraField)
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}
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schema = integration.ConstructSchema(collectionName, dim, false, fields...)
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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(ctx, &milvuspb.CreateCollectionRequest{
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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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s.Equal(commonpb.ErrorCode_Success, createCollectionStatus.GetErrorCode())
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var files []*internalpb.ImportFile
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options := []*commonpb.KeyValuePair{}
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switch s.fileType {
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case importutilv2.Numpy:
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importFile, err := GenerateNumpyFiles(c, schema, rowCount)
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s.NoError(err)
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files = []*internalpb.ImportFile{importFile}
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case importutilv2.JSON:
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rowBasedFile := GenerateJSONFile(s.T(), c, schema, rowCount)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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rowBasedFile,
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},
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},
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}
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case importutilv2.Parquet:
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filePath, err := GenerateParquetFile(s.Cluster, schema, rowCount)
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s.NoError(err)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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filePath,
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},
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},
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}
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case importutilv2.CSV:
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filePath, sep := GenerateCSVFile(s.T(), s.Cluster, schema, rowCount)
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options = []*commonpb.KeyValuePair{{Key: "sep", Value: string(sep)}}
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s.NoError(err)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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filePath,
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},
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},
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}
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}
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importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
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CollectionName: collectionName,
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Files: files,
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Options: options,
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})
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s.NoError(err)
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s.Equal(int32(0), importResp.GetStatus().GetCode())
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mlog.Info(context.TODO(), "Import result", mlog.Any("importResp", importResp))
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jobID := importResp.GetJobID()
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err = WaitForImportDone(ctx, c, jobID)
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if s.failed {
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s.T().Logf("expect failed import, err=%s", err)
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s.Error(err)
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s.Contains(err.Error(), s.failedReason)
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return
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}
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s.NoError(err)
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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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for _, segment := range segments {
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s.True(len(segment.GetBinlogs()) > 0)
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s.NoError(CheckLogID(segment.GetBinlogs()))
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s.True(len(segment.GetDeltalogs()) == 0)
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s.True(len(segment.GetStatslogs()) > 0)
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s.NoError(CheckLogID(segment.GetStatslogs()))
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}
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// create index
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createIndexStatus, err := c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: "embeddings",
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, s.indexType, s.metricType),
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, createIndexStatus.GetErrorCode())
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s.WaitForIndexBuilt(ctx, collectionName, "embeddings")
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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s.WaitForLoad(ctx, collectionName)
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// search
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expr := s.expr
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nq := 10
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topk := 10
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roundDecimal := -1
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params := integration.GetSearchParams(s.indexType, s.metricType)
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searchReq := integration.ConstructSearchRequest("", collectionName, expr,
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"embeddings", s.vecType, nil, s.metricType, params, nq, dim, topk, roundDecimal)
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searchReq.ConsistencyLevel = commonpb.ConsistencyLevel_Eventually
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searchResult, err := c.MilvusClient.Search(ctx, searchReq)
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, searchResult.GetStatus().GetErrorCode())
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// s.Equal(nq*topk, len(searchResult.GetResults().GetScores()))
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}
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func (s *BulkInsertSuite) TestGeometryTypes() {
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s.testType = schemapb.DataType_Geometry
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s.expr = "st_equals(" + "testField" + schemapb.DataType_name[int32(s.testType)] + ",'POINT (-84.036 39.997)')"
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s.run()
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}
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func (s *BulkInsertSuite) TestMultiFileTypes() {
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fileTypeArr := []importutilv2.FileType{importutilv2.JSON, importutilv2.Numpy, importutilv2.Parquet, importutilv2.CSV}
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for _, fileType := range fileTypeArr {
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s.fileType = fileType
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s.vecType = schemapb.DataType_BinaryVector
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s.indexType = "BIN_IVF_FLAT"
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s.metricType = metric.HAMMING
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s.run()
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s.vecType = schemapb.DataType_FloatVector
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s.indexType = "HNSW"
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s.metricType = metric.L2
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s.run()
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s.vecType = schemapb.DataType_Float16Vector
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s.indexType = "HNSW"
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s.metricType = metric.L2
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s.run()
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s.vecType = schemapb.DataType_BFloat16Vector
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s.indexType = "HNSW"
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s.metricType = metric.L2
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s.run()
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s.vecType = schemapb.DataType_Int8Vector
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s.indexType = "HNSW"
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s.metricType = metric.L2
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s.run()
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// TODO: not support numpy for SparseFloatVector by now
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if fileType != importutilv2.Numpy {
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s.vecType = schemapb.DataType_SparseFloatVector
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s.indexType = "SPARSE_WAND"
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s.metricType = metric.IP
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s.run()
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}
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}
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}
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func (s *BulkInsertSuite) TestPK() {
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s.pkType = schemapb.DataType_Int64
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s.run()
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s.pkType = schemapb.DataType_VarChar
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s.run()
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}
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func (s *BulkInsertSuite) TestZeroRowCount() {
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const (
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rowCount = 0
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)
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c := s.Cluster
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ctx, cancel := context.WithTimeout(c.GetContext(), 60*time.Second)
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defer cancel()
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collectionName := "TestBulkInsert_" + funcutil.RandomString(8)
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schema := integration.ConstructSchema(collectionName, dim, true,
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&schemapb.FieldSchema{FieldID: 100, Name: "id", DataType: schemapb.DataType_Int64, IsPrimaryKey: true, AutoID: true},
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&schemapb.FieldSchema{FieldID: 101, Name: "image_path", DataType: schemapb.DataType_VarChar, TypeParams: []*commonpb.KeyValuePair{{Key: common.MaxLengthKey, Value: "65535"}}},
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&schemapb.FieldSchema{FieldID: 102, Name: "embeddings", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "128"}}},
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)
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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(ctx, &milvuspb.CreateCollectionRequest{
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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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s.Equal(commonpb.ErrorCode_Success, createCollectionStatus.GetErrorCode())
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var files []*internalpb.ImportFile
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filePath, err := GenerateParquetFile(s.Cluster, schema, rowCount)
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s.NoError(err)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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filePath,
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},
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},
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}
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importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
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CollectionName: collectionName,
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Files: files,
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})
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s.NoError(err)
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mlog.Info(context.TODO(), "Import result", mlog.Any("importResp", importResp))
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jobID := importResp.GetJobID()
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err = WaitForImportDone(ctx, c, jobID)
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s.NoError(err)
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segments, err := c.ShowSegments(collectionName)
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s.NoError(err)
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s.Empty(segments)
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}
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func (s *BulkInsertSuite) TestImportFixedSizeListParquet() {
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const (
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rowCount = 100
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arraySize = 3
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vectorDim = 4
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)
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c := s.Cluster
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ctx, cancel := context.WithTimeout(c.GetContext(), 240*time.Second)
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defer cancel()
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collectionName := "TestBulkInsert_FixedSizeList_" + funcutil.RandomString(8)
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arrayFieldName := "fsl_array"
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schema := integration.ConstructSchema(collectionName, vectorDim, true,
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&schemapb.FieldSchema{
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FieldID: 100,
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Name: integration.Int64Field,
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IsPrimaryKey: true,
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DataType: schemapb.DataType_Int64,
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AutoID: true,
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},
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&schemapb.FieldSchema{
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FieldID: 101,
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Name: arrayFieldName,
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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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{Key: common.MaxCapacityKey, Value: fmt.Sprintf("%d", arraySize)},
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},
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},
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&schemapb.FieldSchema{
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FieldID: 102,
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Name: integration.FloatVecField,
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: fmt.Sprintf("%d", vectorDim)},
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},
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},
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)
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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(ctx, &milvuspb.CreateCollectionRequest{
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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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s.Equal(commonpb.ErrorCode_Success, createCollectionStatus.GetErrorCode())
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filePath, err := generateFixedSizeListParquetFile(c, arrayFieldName, integration.FloatVecField, rowCount, arraySize, vectorDim)
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s.NoError(err)
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importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
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CollectionName: collectionName,
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Files: []*internalpb.ImportFile{
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{
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Paths: []string{filePath},
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},
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},
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})
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s.NoError(err)
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s.Equal(int32(0), importResp.GetStatus().GetCode())
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s.NoError(WaitForImportDone(ctx, c, importResp.GetJobID()))
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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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for _, segment := range segments {
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s.NotEmpty(segment.GetBinlogs())
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s.NoError(CheckLogID(segment.GetBinlogs()))
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s.NotEmpty(segment.GetStatslogs())
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s.NoError(CheckLogID(segment.GetStatslogs()))
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}
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createIndexStatus, err := c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: integration.FloatVecField,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(vectorDim, s.indexType, s.metricType),
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, createIndexStatus.GetErrorCode(), createIndexStatus.GetReason())
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode(), loadStatus.GetReason())
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s.WaitForLoad(ctx, collectionName)
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queryResult, err := c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: fmt.Sprintf("%s >= 0", integration.Int64Field),
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OutputFields: []string{arrayFieldName, integration.FloatVecField},
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ConsistencyLevel: commonpb.ConsistencyLevel_Strong,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, queryResult.GetStatus().GetErrorCode(), queryResult.GetStatus().GetReason())
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var arrayData []*schemapb.ScalarField
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var vectorData []float32
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for _, fieldData := range queryResult.GetFieldsData() {
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switch fieldData.GetFieldName() {
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case arrayFieldName:
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arrayData = fieldData.GetScalars().GetArrayData().GetData()
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case integration.FloatVecField:
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vectorData = fieldData.GetVectors().GetFloatVector().GetData()
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}
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}
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s.Len(arrayData, rowCount)
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s.Len(vectorData, rowCount*vectorDim)
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seenRows := make(map[int32]struct{}, rowCount)
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for i, row := range arrayData {
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values := row.GetIntData().GetData()
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s.Len(values, arraySize)
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expectedRow := values[0]
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s.EqualValues([]int32{expectedRow, expectedRow + 1, expectedRow + 2}, values)
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s.Equal(float32(int(expectedRow)*vectorDim), vectorData[i*vectorDim])
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for col := 1; col < vectorDim; col++ {
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s.Equal(vectorData[i*vectorDim]+float32(col), vectorData[i*vectorDim+col])
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}
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|
seenRows[expectedRow] = struct{}{}
|
|
}
|
|
s.Len(seenRows, rowCount)
|
|
for row := 0; row < rowCount; row++ {
|
|
_, ok := seenRows[int32(row)]
|
|
s.True(ok)
|
|
}
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestDiskQuotaExceeded() {
|
|
revertGuard := s.Cluster.MustModifyMilvusConfig(map[string]string{
|
|
paramtable.Get().QuotaConfig.DiskProtectionEnabled.Key: "true",
|
|
paramtable.Get().QuotaConfig.DiskQuota.Key: "100",
|
|
})
|
|
defer revertGuard()
|
|
|
|
s.failed = false
|
|
s.run()
|
|
|
|
revertGuard2 := s.Cluster.MustModifyMilvusConfig(map[string]string{
|
|
paramtable.Get().QuotaConfig.DiskQuota.Key: "0.01",
|
|
})
|
|
defer revertGuard2()
|
|
|
|
s.failed = true
|
|
s.failedReason = "disk quota exceeded"
|
|
s.run()
|
|
}
|
|
|
|
func TestBulkInsert(t *testing.T) {
|
|
suite.Run(t, new(BulkInsertSuite))
|
|
}
|