milvus/internal/indexnode/task_test.go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package indexnode

import (
	"context"
	"testing"

	"github.com/stretchr/testify/suite"

	"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
	"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
	"github.com/milvus-io/milvus/internal/proto/etcdpb"
	"github.com/milvus-io/milvus/internal/proto/indexpb"
	"github.com/milvus-io/milvus/internal/proto/workerpb"
	"github.com/milvus-io/milvus/internal/storage"
	"github.com/milvus-io/milvus/internal/util/dependency"
	"github.com/milvus-io/milvus/pkg/common"
	"github.com/milvus-io/milvus/pkg/util/metautil"
	"github.com/milvus-io/milvus/pkg/util/metric"
	"github.com/milvus-io/milvus/pkg/util/paramtable"
	"github.com/milvus-io/milvus/pkg/util/timerecord"
)

type IndexBuildTaskSuite struct {
	suite.Suite
	schema       *schemapb.CollectionSchema
	collectionID int64
	partitionID  int64
	segmentID    int64
	dataPath     string

	numRows int
	dim     int
}

func (suite *IndexBuildTaskSuite) SetupSuite() {
	paramtable.Init()
	suite.collectionID = 1000
	suite.partitionID = 1001
	suite.segmentID = 1002
	suite.dataPath = "/tmp/milvus/data/1000/1001/1002/3/1"
	suite.numRows = 100
	suite.dim = 128
}

func (suite *IndexBuildTaskSuite) SetupTest() {
	suite.schema = &schemapb.CollectionSchema{
		Name:        "test",
		Description: "test",
		AutoID:      false,
		Fields: []*schemapb.FieldSchema{
			{FieldID: common.RowIDField, Name: common.RowIDFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: common.TimeStampField, Name: common.TimeStampFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: 100, Name: "pk", DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: 101, Name: "ts", DataType: schemapb.DataType_Int64},
			{FieldID: 102, Name: "vec", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "128"}}},
		},
	}
}

func (suite *IndexBuildTaskSuite) serializeData() ([]*storage.Blob, error) {
	insertCodec := storage.NewInsertCodecWithSchema(&etcdpb.CollectionMeta{
		Schema: suite.schema,
	})
	return insertCodec.Serialize(suite.partitionID, suite.segmentID, &storage.InsertData{
		Data: map[storage.FieldID]storage.FieldData{
			0:   &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
			1:   &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
			100: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
			101: &storage.Int64FieldData{Data: generateLongs(suite.numRows)},
			102: &storage.FloatVectorFieldData{Data: generateFloats(suite.numRows * suite.dim), Dim: suite.dim},
		},
		Infos: []storage.BlobInfo{{Length: suite.numRows}},
	})
}

func (suite *IndexBuildTaskSuite) TestBuildMemoryIndex() {
	ctx, cancel := context.WithCancel(context.Background())
	req := &workerpb.CreateJobRequest{
		BuildID:      1,
		IndexVersion: 1,
		DataPaths:    []string{suite.dataPath},
		IndexID:      0,
		IndexName:    "",
		IndexParams:  []*commonpb.KeyValuePair{{Key: common.IndexTypeKey, Value: "FLAT"}, {Key: common.MetricTypeKey, Value: metric.L2}},
		TypeParams:   []*commonpb.KeyValuePair{{Key: "dim", Value: "128"}},
		NumRows:      int64(suite.numRows),
		StorageConfig: &indexpb.StorageConfig{
			RootPath:    "/tmp/milvus/data",
			StorageType: "local",
		},
		CollectionID: 1,
		PartitionID:  2,
		SegmentID:    3,
		FieldID:      102,
		FieldName:    "vec",
		FieldType:    schemapb.DataType_FloatVector,
	}

	cm, err := NewChunkMgrFactory().NewChunkManager(ctx, req.GetStorageConfig())
	suite.NoError(err)
	blobs, err := suite.serializeData()
	suite.NoError(err)
	err = cm.Write(ctx, suite.dataPath, blobs[0].Value)
	suite.NoError(err)

	t := newIndexBuildTask(ctx, cancel, req, cm, NewIndexNode(context.Background(), dependency.NewDefaultFactory(true)))

	err = t.PreExecute(context.Background())
	suite.NoError(err)
	err = t.Execute(context.Background())
	suite.NoError(err)
	err = t.PostExecute(context.Background())
	suite.NoError(err)
}

func TestIndexBuildTask(t *testing.T) {
	suite.Run(t, new(IndexBuildTaskSuite))
}

type AnalyzeTaskSuite struct {
	suite.Suite
	schema       *schemapb.CollectionSchema
	collectionID int64
	partitionID  int64
	segmentID    int64
	fieldID      int64
	taskID       int64
}

func (suite *AnalyzeTaskSuite) SetupSuite() {
	paramtable.Init()
	suite.collectionID = 1000
	suite.partitionID = 1001
	suite.segmentID = 1002
	suite.fieldID = 102
	suite.taskID = 1004
}

func (suite *AnalyzeTaskSuite) SetupTest() {
	suite.schema = &schemapb.CollectionSchema{
		Name:        "test",
		Description: "test",
		AutoID:      false,
		Fields: []*schemapb.FieldSchema{
			{FieldID: common.RowIDField, Name: common.RowIDFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: common.TimeStampField, Name: common.TimeStampFieldName, DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: 100, Name: "pk", DataType: schemapb.DataType_Int64, IsPrimaryKey: true},
			{FieldID: 101, Name: "ts", DataType: schemapb.DataType_Int64},
			{FieldID: 102, Name: "vec", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{{Key: "dim", Value: "1"}}},
		},
	}
}

func (suite *AnalyzeTaskSuite) serializeData() ([]*storage.Blob, error) {
	insertCodec := storage.NewInsertCodecWithSchema(&etcdpb.CollectionMeta{
		Schema: suite.schema,
	})
	return insertCodec.Serialize(suite.partitionID, suite.segmentID, &storage.InsertData{
		Data: map[storage.FieldID]storage.FieldData{
			0:   &storage.Int64FieldData{Data: []int64{0, 1, 2}},
			1:   &storage.Int64FieldData{Data: []int64{1, 2, 3}},
			100: &storage.Int64FieldData{Data: []int64{0, 1, 2}},
			101: &storage.Int64FieldData{Data: []int64{0, 1, 2}},
			102: &storage.FloatVectorFieldData{Data: []float32{1, 2, 3}, Dim: 1},
		},
		Infos: []storage.BlobInfo{{Length: 3}},
	})
}

func (suite *AnalyzeTaskSuite) TestAnalyze() {
	ctx, cancel := context.WithCancel(context.Background())
	req := &workerpb.AnalyzeRequest{
		ClusterID:    "test",
		TaskID:       1,
		CollectionID: suite.collectionID,
		PartitionID:  suite.partitionID,
		FieldID:      suite.fieldID,
		FieldName:    "vec",
		FieldType:    schemapb.DataType_FloatVector,
		SegmentStats: map[int64]*indexpb.SegmentStats{
			suite.segmentID: {
				ID:      suite.segmentID,
				NumRows: 1024,
				LogIDs:  []int64{1},
			},
		},
		Version: 1,
		StorageConfig: &indexpb.StorageConfig{
			RootPath:    "/tmp/milvus/data",
			StorageType: "local",
		},
		Dim: 1,
	}

	cm, err := NewChunkMgrFactory().NewChunkManager(ctx, req.GetStorageConfig())
	suite.NoError(err)
	blobs, err := suite.serializeData()
	suite.NoError(err)
	dataPath := metautil.BuildInsertLogPath(cm.RootPath(), suite.collectionID, suite.partitionID, suite.segmentID,
		suite.fieldID, 1)

	err = cm.Write(ctx, dataPath, blobs[0].Value)
	suite.NoError(err)

	t := &analyzeTask{
		ident:    "",
		cancel:   cancel,
		ctx:      ctx,
		req:      req,
		tr:       timerecord.NewTimeRecorder("test-indexBuildTask"),
		queueDur: 0,
		node:     NewIndexNode(context.Background(), dependency.NewDefaultFactory(true)),
	}

	err = t.PreExecute(context.Background())
	suite.NoError(err)
}

func TestAnalyzeTaskSuite(t *testing.T) {
	suite.Run(t, new(AnalyzeTaskSuite))
}