mirror of
https://gitee.com/milvus-io/milvus.git
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258 lines
8.2 KiB
Go
258 lines
8.2 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 integration
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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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"time"
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"github.com/cockroachdb/errors"
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"github.com/golang/protobuf/proto"
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"github.com/stretchr/testify/assert"
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"go.uber.org/zap"
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"github.com/milvus-io/milvus-proto/go-api/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/schemapb"
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"github.com/milvus-io/milvus/internal/util/importutil"
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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/distance"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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)
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const (
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TempFilesPath = "/tmp/integration_test/import/"
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Dim = 128
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)
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// test bulk insert E2E
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// 1, create collection with a vector column and a varchar column
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// 2, generate numpy files
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// 3, import
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// 4, create index
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// 5, load
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// 6, search
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func TestBulkInsert(t *testing.T) {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second*180)
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c, err := StartMiniCluster(ctx)
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assert.NoError(t, err)
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err = c.Start()
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assert.NoError(t, err)
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defer func() {
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err = c.Stop()
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assert.NoError(t, err)
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cancel()
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}()
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prefix := "TestBulkInsert"
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dbName := ""
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collectionName := prefix + funcutil.GenRandomStr()
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floatVecField := floatVecField
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dim := 128
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schema := constructSchema(collectionName, dim, true)
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marshaledSchema, err := proto.Marshal(schema)
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assert.NoError(t, err)
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createCollectionStatus, err := c.proxy.CreateCollection(ctx, &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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assert.NoError(t, err)
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if createCollectionStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("createCollectionStatus fail reason", zap.String("reason", createCollectionStatus.GetReason()))
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}
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assert.Equal(t, createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
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showCollectionsResp, err := c.proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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assert.NoError(t, err)
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assert.Equal(t, showCollectionsResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
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err = GenerateNumpyFile(c.chunkManager.RootPath()+"/"+"embeddings.npy", 100, schemapb.DataType_FloatVector, []*commonpb.KeyValuePair{
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{
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Key: "dim",
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Value: strconv.Itoa(Dim),
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},
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})
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assert.NoError(t, err)
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err = GenerateNumpyFile(c.chunkManager.RootPath()+"/"+"image_path.npy", 100, schemapb.DataType_VarChar, []*commonpb.KeyValuePair{
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{
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Key: "max_length",
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Value: strconv.Itoa(65535),
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},
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})
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assert.NoError(t, err)
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bulkInsertFiles := []string{
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c.chunkManager.RootPath() + "/" + "embeddings.npy",
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c.chunkManager.RootPath() + "/" + "image_path.npy",
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}
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health1, err := c.dataCoord.CheckHealth(ctx, &milvuspb.CheckHealthRequest{})
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assert.NoError(t, err)
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log.Info("dataCoord health", zap.Any("health1", health1))
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importResp, err := c.proxy.Import(ctx, &milvuspb.ImportRequest{
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CollectionName: collectionName,
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Files: bulkInsertFiles,
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})
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assert.NoError(t, err)
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log.Info("Import result", zap.Any("importResp", importResp), zap.Int64s("tasks", importResp.GetTasks()))
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tasks := importResp.GetTasks()
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for _, task := range tasks {
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loop:
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for {
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importTaskState, err := c.proxy.GetImportState(ctx, &milvuspb.GetImportStateRequest{
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Task: task,
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})
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assert.NoError(t, err)
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switch importTaskState.GetState() {
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case commonpb.ImportState_ImportCompleted:
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break loop
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case commonpb.ImportState_ImportFailed:
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break loop
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case commonpb.ImportState_ImportFailedAndCleaned:
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break loop
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default:
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log.Info("import task state", zap.Int64("id", task), zap.String("state", importTaskState.GetState().String()))
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time.Sleep(time.Second * time.Duration(3))
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continue
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}
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}
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}
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health2, err := c.dataCoord.CheckHealth(ctx, &milvuspb.CheckHealthRequest{})
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assert.NoError(t, err)
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log.Info("dataCoord health", zap.Any("health2", health2))
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segments, err := c.metaWatcher.ShowSegments()
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assert.NoError(t, err)
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assert.NotEmpty(t, 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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// create index
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createIndexStatus, err := c.proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: floatVecField,
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IndexName: "_default",
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ExtraParams: constructIndexParam(dim, IndexHNSW, distance.L2),
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})
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if createIndexStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("createIndexStatus fail reason", zap.String("reason", createIndexStatus.GetReason()))
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}
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assert.NoError(t, err)
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assert.Equal(t, commonpb.ErrorCode_Success, createIndexStatus.GetErrorCode())
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// load
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loadStatus, err := c.proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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assert.NoError(t, err)
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if loadStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("loadStatus fail reason", zap.String("reason", loadStatus.GetReason()))
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}
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assert.Equal(t, commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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waitingForLoad(ctx, c, collectionName)
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// search
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expr := fmt.Sprintf("%s > 0", int64Field)
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nq := 10
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topk := 10
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roundDecimal := -1
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params := getSearchParams(IndexHNSW, distance.L2)
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searchReq := constructSearchRequest("", collectionName, expr,
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floatVecField, schemapb.DataType_FloatVector, nil, distance.L2, params, nq, dim, topk, roundDecimal)
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searchResult, err := c.proxy.Search(ctx, searchReq)
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if searchResult.GetStatus().GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("searchResult fail reason", zap.String("reason", searchResult.GetStatus().GetReason()))
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}
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assert.NoError(t, err)
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assert.Equal(t, commonpb.ErrorCode_Success, searchResult.GetStatus().GetErrorCode())
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log.Info("======================")
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log.Info("======================")
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log.Info("TestBulkInsert succeed")
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log.Info("======================")
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log.Info("======================")
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}
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func GenerateNumpyFile(filePath string, rowCount int, dType schemapb.DataType, typeParams []*commonpb.KeyValuePair) error {
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if dType == schemapb.DataType_VarChar {
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var data []string
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for i := 0; i < rowCount; i++ {
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data = append(data, "str")
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}
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err := importutil.CreateNumpyFile(filePath, data)
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if err != nil {
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return err
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}
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}
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if dType == schemapb.DataType_FloatVector {
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dimStr, ok := funcutil.KeyValuePair2Map(typeParams)["dim"]
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if !ok {
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return errors.New("FloatVector field needs dim parameter")
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}
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dim, err := strconv.Atoi(dimStr)
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if err != nil {
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return err
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}
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//data := make([][]float32, rowCount)
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var data [][Dim]float32
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for i := 0; i < rowCount; i++ {
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vec := [Dim]float32{}
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for j := 0; j < dim; j++ {
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vec[j] = 1.1
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}
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//v := reflect.Indirect(reflect.ValueOf(vec))
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//log.Info("type", zap.Any("type", v.Kind()))
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data = append(data, vec)
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//v2 := reflect.Indirect(reflect.ValueOf(data))
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//log.Info("type", zap.Any("type", v2.Kind()))
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}
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err = importutil.CreateNumpyFile(filePath, data)
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if err != nil {
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return err
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}
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}
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return nil
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}
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func TestGenerateNumpyFile(t *testing.T) {
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err := GenerateNumpyFile(TempFilesPath+"embeddings.npy", 100, schemapb.DataType_FloatVector, []*commonpb.KeyValuePair{
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{
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Key: "dim",
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Value: strconv.Itoa(Dim),
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},
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})
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assert.NoError(t, err)
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log.Error("err", zap.Error(err))
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}
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