mirror of
https://gitee.com/milvus-io/milvus.git
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c924b0b502
This PR primary picks up the support analyzing functionality, including the following commits: - main functionality: https://github.com/milvus-io/milvus/pull/33651 - refine indexnode code: https://github.com/milvus-io/milvus/pull/33458 - related fixes: - https://github.com/milvus-io/milvus/pull/33832 - https://github.com/milvus-io/milvus/pull/33161 issue: #30633 master prs: #33651 , #33458 , #33832 , #33161 --------- Signed-off-by: Cai Zhang <cai.zhang@zilliz.com> Signed-off-by: Patrick Weizhi Xu <weizhi.xu@zilliz.com> Co-authored-by: chasingegg <chao.gao@zilliz.com> Co-authored-by: Patrick Weizhi Xu <weizhi.xu@zilliz.com>
343 lines
11 KiB
Go
343 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 indexnode
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import (
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"context"
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"testing"
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"github.com/apache/arrow/go/v12/arrow"
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"github.com/apache/arrow/go/v12/arrow/array"
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"github.com/apache/arrow/go/v12/arrow/memory"
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"github.com/stretchr/testify/suite"
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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/schemapb"
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milvus_storage "github.com/milvus-io/milvus-storage/go/storage"
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"github.com/milvus-io/milvus-storage/go/storage/options"
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"github.com/milvus-io/milvus-storage/go/storage/schema"
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"github.com/milvus-io/milvus/internal/proto/etcdpb"
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"github.com/milvus-io/milvus/internal/proto/indexpb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/internal/util/dependency"
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"github.com/milvus-io/milvus/internal/util/typeutil"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/metautil"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/timerecord"
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)
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type IndexBuildTaskSuite struct {
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suite.Suite
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schema *schemapb.CollectionSchema
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collectionID int64
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partitionID int64
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segmentID int64
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dataPath string
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numRows int
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dim int
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}
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func (suite *IndexBuildTaskSuite) SetupSuite() {
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paramtable.Init()
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suite.collectionID = 1000
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suite.partitionID = 1001
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suite.segmentID = 1002
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suite.dataPath = "/tmp/milvus/data/1000/1001/1002/3/1"
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suite.numRows = 100
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suite.dim = 128
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}
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func (suite *IndexBuildTaskSuite) SetupTest() {
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suite.schema = &schemapb.CollectionSchema{
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Name: "test",
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Description: "test",
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AutoID: false,
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Fields: []*schemapb.FieldSchema{
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{FieldID: common.RowIDField, Name: common.RowIDFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: common.TimeStampField, Name: common.TimeStampFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: 100, Name: "pk", DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: 101, Name: "ts", DataType: schemapb.DataType_Int64},
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{FieldID: 102, Name: "vec", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "128"}}},
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},
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}
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}
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func (suite *IndexBuildTaskSuite) serializeData() ([]*storage.Blob, error) {
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insertCodec := storage.NewInsertCodecWithSchema(&etcdpb.CollectionMeta{
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Schema: suite.schema,
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})
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return insertCodec.Serialize(suite.partitionID, suite.segmentID, &storage.InsertData{
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Data: map[storage.FieldID]storage.FieldData{
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0: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
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1: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
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100: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
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101: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
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102: &storage.FloatVectorFieldData{Data: generateFloats(suite.numRows * suite.dim), Dim: suite.dim},
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},
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Infos: []storage.BlobInfo{{Length: suite.numRows}},
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})
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}
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func (suite *IndexBuildTaskSuite) TestBuildMemoryIndex() {
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ctx, cancel := context.WithCancel(context.Background())
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req := &indexpb.CreateJobRequest{
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BuildID: 1,
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IndexVersion: 1,
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DataPaths: []string{suite.dataPath},
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IndexID: 0,
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IndexName: "",
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IndexParams: []*commonpb.KeyValuePair{{Key: common.IndexTypeKey, Value: "FLAT"}, {Key: common.MetricTypeKey, Value: metric.L2}},
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TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "128"}},
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NumRows: int64(suite.numRows),
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StorageConfig: &indexpb.StorageConfig{
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RootPath: "/tmp/milvus/data",
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StorageType: "local",
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},
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CollectionID: 1,
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PartitionID: 2,
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SegmentID: 3,
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FieldID: 102,
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FieldName: "vec",
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FieldType: schemapb.DataType_FloatVector,
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}
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cm, err := NewChunkMgrFactory().NewChunkManager(ctx, req.GetStorageConfig())
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suite.NoError(err)
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blobs, err := suite.serializeData()
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suite.NoError(err)
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err = cm.Write(ctx, suite.dataPath, blobs[0].Value)
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suite.NoError(err)
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t := newIndexBuildTask(ctx, cancel, req, cm, NewIndexNode(context.Background(), dependency.NewDefaultFactory(true)))
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err = t.PreExecute(context.Background())
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suite.NoError(err)
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err = t.Execute(context.Background())
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suite.NoError(err)
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err = t.PostExecute(context.Background())
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suite.NoError(err)
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}
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func TestIndexBuildTask(t *testing.T) {
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suite.Run(t, new(IndexBuildTaskSuite))
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}
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type IndexBuildTaskV2Suite struct {
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suite.Suite
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schema *schemapb.CollectionSchema
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arrowSchema *arrow.Schema
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space *milvus_storage.Space
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}
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func (suite *IndexBuildTaskV2Suite) SetupSuite() {
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paramtable.Init()
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}
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func (suite *IndexBuildTaskV2Suite) SetupTest() {
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suite.schema = &schemapb.CollectionSchema{
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Name: "test",
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Description: "test",
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AutoID: false,
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Fields: []*schemapb.FieldSchema{
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{FieldID: 1, Name: "pk", DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: 2, Name: "ts", DataType: schemapb.DataType_Int64},
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{FieldID: 3, Name: "vec", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "1"}}},
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},
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}
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var err error
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suite.arrowSchema, err = typeutil.ConvertToArrowSchema(suite.schema.Fields)
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suite.NoError(err)
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tmpDir := suite.T().TempDir()
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opt := options.NewSpaceOptionBuilder().
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SetSchema(schema.NewSchema(
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suite.arrowSchema,
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&schema.SchemaOptions{
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PrimaryColumn: "pk",
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VectorColumn: "vec",
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VersionColumn: "ts",
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})).
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Build()
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suite.space, err = milvus_storage.Open("file://"+tmpDir, opt)
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suite.NoError(err)
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b := array.NewRecordBuilder(memory.DefaultAllocator, suite.arrowSchema)
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defer b.Release()
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b.Field(0).(*array.Int64Builder).AppendValues([]int64{1}, nil)
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b.Field(1).(*array.Int64Builder).AppendValues([]int64{1}, nil)
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fb := b.Field(2).(*array.FixedSizeBinaryBuilder)
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fb.Reserve(1)
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fb.Append([]byte{1, 2, 3, 4})
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rec := b.NewRecord()
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defer rec.Release()
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reader, err := array.NewRecordReader(suite.arrowSchema, []arrow.Record{rec})
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suite.NoError(err)
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err = suite.space.Write(reader, &options.DefaultWriteOptions)
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suite.NoError(err)
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}
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func (suite *IndexBuildTaskV2Suite) TestBuildIndex() {
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req := &indexpb.CreateJobRequest{
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BuildID: 1,
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IndexVersion: 1,
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IndexID: 0,
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IndexName: "",
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IndexParams: []*commonpb.KeyValuePair{{Key: common.IndexTypeKey, Value: "FLAT"}, {Key: common.MetricTypeKey, Value: metric.L2}, {Key: common.DimKey, Value: "1"}},
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TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "1"}},
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NumRows: 10,
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StorageConfig: &indexpb.StorageConfig{
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RootPath: "/tmp/milvus/data",
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StorageType: "local",
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},
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CollectionID: 1,
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PartitionID: 1,
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SegmentID: 1,
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FieldID: 3,
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FieldName: "vec",
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FieldType: schemapb.DataType_FloatVector,
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StorePath: "file://" + suite.space.Path(),
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StoreVersion: suite.space.GetCurrentVersion(),
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IndexStorePath: "file://" + suite.space.Path(),
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Dim: 4,
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OptionalScalarFields: []*indexpb.OptionalFieldInfo{
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{FieldID: 1, FieldName: "pk", FieldType: 5, DataIds: []int64{0}},
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},
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}
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task := newIndexBuildTaskV2(context.Background(), nil, req, NewIndexNode(context.Background(), dependency.NewDefaultFactory(true)))
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var err error
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err = task.PreExecute(context.Background())
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suite.NoError(err)
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err = task.Execute(context.Background())
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suite.NoError(err)
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err = task.PostExecute(context.Background())
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suite.NoError(err)
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}
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func TestIndexBuildTaskV2Suite(t *testing.T) {
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suite.Run(t, new(IndexBuildTaskV2Suite))
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}
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type AnalyzeTaskSuite struct {
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suite.Suite
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schema *schemapb.CollectionSchema
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collectionID int64
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partitionID int64
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segmentID int64
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fieldID int64
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taskID int64
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}
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func (suite *AnalyzeTaskSuite) SetupSuite() {
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paramtable.Init()
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suite.collectionID = 1000
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suite.partitionID = 1001
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suite.segmentID = 1002
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suite.fieldID = 102
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suite.taskID = 1004
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}
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func (suite *AnalyzeTaskSuite) SetupTest() {
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suite.schema = &schemapb.CollectionSchema{
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Name: "test",
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Description: "test",
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AutoID: false,
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Fields: []*schemapb.FieldSchema{
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{FieldID: common.RowIDField, Name: common.RowIDFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: common.TimeStampField, Name: common.TimeStampFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: 100, Name: "pk", DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
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{FieldID: 101, Name: "ts", DataType: schemapb.DataType_Int64},
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{FieldID: 102, Name: "vec", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "1"}}},
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},
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}
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}
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func (suite *AnalyzeTaskSuite) serializeData() ([]*storage.Blob, error) {
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insertCodec := storage.NewInsertCodecWithSchema(&etcdpb.CollectionMeta{
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Schema: suite.schema,
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})
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return insertCodec.Serialize(suite.partitionID, suite.segmentID, &storage.InsertData{
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Data: map[storage.FieldID]storage.FieldData{
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0: &storage.Int64FieldData{Data: []int64{0, 1, 2}},
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1: &storage.Int64FieldData{Data: []int64{1, 2, 3}},
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100: &storage.Int64FieldData{Data: []int64{0, 1, 2}},
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101: &storage.Int64FieldData{Data: []int64{0, 1, 2}},
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102: &storage.FloatVectorFieldData{Data: []float32{1, 2, 3}, Dim: 1},
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},
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Infos: []storage.BlobInfo{{Length: 3}},
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})
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}
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func (suite *AnalyzeTaskSuite) TestAnalyze() {
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ctx, cancel := context.WithCancel(context.Background())
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req := &indexpb.AnalyzeRequest{
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ClusterID: "test",
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TaskID: 1,
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CollectionID: suite.collectionID,
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PartitionID: suite.partitionID,
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FieldID: suite.fieldID,
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FieldName: "vec",
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FieldType: schemapb.DataType_FloatVector,
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SegmentStats: map[int64]*indexpb.SegmentStats{
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suite.segmentID: {
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ID: suite.segmentID,
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NumRows: 1024,
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LogIDs: []int64{1},
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},
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},
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Version: 1,
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StorageConfig: &indexpb.StorageConfig{
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RootPath: "/tmp/milvus/data",
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StorageType: "local",
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},
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Dim: 1,
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}
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cm, err := NewChunkMgrFactory().NewChunkManager(ctx, req.GetStorageConfig())
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suite.NoError(err)
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blobs, err := suite.serializeData()
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suite.NoError(err)
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dataPath := metautil.BuildInsertLogPath(cm.RootPath(), suite.collectionID, suite.partitionID, suite.segmentID,
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suite.fieldID, 1)
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err = cm.Write(ctx, dataPath, blobs[0].Value)
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suite.NoError(err)
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t := &analyzeTask{
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ident: "",
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cancel: cancel,
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ctx: ctx,
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req: req,
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tr: timerecord.NewTimeRecorder("test-indexBuildTask"),
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queueDur: 0,
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node: NewIndexNode(context.Background(), dependency.NewDefaultFactory(true)),
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}
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err = t.PreExecute(context.Background())
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suite.NoError(err)
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}
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func TestAnalyzeTaskSuite(t *testing.T) {
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suite.Run(t, new(AnalyzeTaskSuite))
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}
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