mirror of
https://gitee.com/milvus-io/milvus.git
synced 2026-01-03 17:31:58 +08:00
338 lines
9.6 KiB
Go
338 lines
9.6 KiB
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 integration
|
|
|
|
import (
|
|
"context"
|
|
"fmt"
|
|
"strconv"
|
|
"testing"
|
|
"time"
|
|
|
|
"github.com/cockroachdb/errors"
|
|
"github.com/milvus-io/milvus-proto/go-api/commonpb"
|
|
"github.com/milvus-io/milvus-proto/go-api/milvuspb"
|
|
"github.com/milvus-io/milvus-proto/go-api/schemapb"
|
|
"github.com/milvus-io/milvus/internal/common"
|
|
"github.com/milvus-io/milvus/internal/log"
|
|
"github.com/milvus-io/milvus/internal/util/distance"
|
|
"github.com/milvus-io/milvus/internal/util/funcutil"
|
|
"github.com/milvus-io/milvus/internal/util/importutil"
|
|
|
|
"github.com/golang/protobuf/proto"
|
|
"github.com/stretchr/testify/assert"
|
|
"go.uber.org/zap"
|
|
)
|
|
|
|
const (
|
|
TempFilesPath = "/tmp/integration_test/import/"
|
|
Dim = 128
|
|
)
|
|
|
|
// test bulk insert E2E
|
|
// 1, create collection with a vector column and a varchar column
|
|
// 2, generate numpy files
|
|
// 3, import
|
|
// 4, create index
|
|
// 5, load
|
|
// 6, search
|
|
func TestBulkInsert(t *testing.T) {
|
|
ctx := context.Background()
|
|
c, err := StartMiniCluster(ctx)
|
|
assert.NoError(t, err)
|
|
err = c.Start()
|
|
assert.NoError(t, err)
|
|
defer c.Stop()
|
|
assert.NoError(t, err)
|
|
|
|
prefix := "TestBulkInsert"
|
|
dbName := ""
|
|
collectionName := prefix + funcutil.GenRandomStr()
|
|
int64Field := "int64"
|
|
floatVecField := "embeddings"
|
|
scalarField := "image_path"
|
|
dim := 128
|
|
|
|
constructCollectionSchema := func() *schemapb.CollectionSchema {
|
|
pk := &schemapb.FieldSchema{
|
|
Name: int64Field,
|
|
IsPrimaryKey: true,
|
|
Description: "pk",
|
|
DataType: schemapb.DataType_Int64,
|
|
TypeParams: nil,
|
|
IndexParams: nil,
|
|
AutoID: true,
|
|
}
|
|
fVec := &schemapb.FieldSchema{
|
|
Name: floatVecField,
|
|
IsPrimaryKey: false,
|
|
Description: "",
|
|
DataType: schemapb.DataType_FloatVector,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "dim",
|
|
Value: strconv.Itoa(dim),
|
|
},
|
|
},
|
|
IndexParams: nil,
|
|
AutoID: false,
|
|
}
|
|
scalar := &schemapb.FieldSchema{
|
|
Name: scalarField,
|
|
IsPrimaryKey: false,
|
|
Description: "",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "65535",
|
|
},
|
|
},
|
|
IndexParams: nil,
|
|
AutoID: false,
|
|
}
|
|
return &schemapb.CollectionSchema{
|
|
Name: collectionName,
|
|
Description: "",
|
|
AutoID: false,
|
|
Fields: []*schemapb.FieldSchema{
|
|
pk,
|
|
fVec,
|
|
scalar,
|
|
},
|
|
}
|
|
}
|
|
schema := constructCollectionSchema()
|
|
marshaledSchema, err := proto.Marshal(schema)
|
|
assert.NoError(t, err)
|
|
|
|
createCollectionStatus, err := c.proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
|
|
DbName: dbName,
|
|
CollectionName: collectionName,
|
|
Schema: marshaledSchema,
|
|
ShardsNum: 2,
|
|
})
|
|
assert.NoError(t, err)
|
|
if createCollectionStatus.GetErrorCode() != commonpb.ErrorCode_Success {
|
|
log.Warn("createCollectionStatus fail reason", zap.String("reason", createCollectionStatus.GetReason()))
|
|
}
|
|
assert.Equal(t, createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
|
|
|
|
log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
|
|
showCollectionsResp, err := c.proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, showCollectionsResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
|
|
log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
|
|
|
|
err = GenerateNumpyFile(c.chunkManager.RootPath()+"/"+"embeddings.npy", 100, schemapb.DataType_FloatVector, []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "dim",
|
|
Value: strconv.Itoa(Dim),
|
|
},
|
|
})
|
|
assert.NoError(t, err)
|
|
err = GenerateNumpyFile(c.chunkManager.RootPath()+"/"+"image_path.npy", 100, schemapb.DataType_VarChar, []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: strconv.Itoa(65535),
|
|
},
|
|
})
|
|
assert.NoError(t, err)
|
|
|
|
bulkInsertFiles := []string{
|
|
c.chunkManager.RootPath() + "/" + "embeddings.npy",
|
|
c.chunkManager.RootPath() + "/" + "image_path.npy",
|
|
}
|
|
|
|
health1, err := c.dataCoord.CheckHealth(ctx, &milvuspb.CheckHealthRequest{})
|
|
assert.NoError(t, err)
|
|
log.Info("dataCoord health", zap.Any("health1", health1))
|
|
importResp, err := c.proxy.Import(ctx, &milvuspb.ImportRequest{
|
|
CollectionName: collectionName,
|
|
Files: bulkInsertFiles,
|
|
})
|
|
assert.NoError(t, err)
|
|
log.Info("Import result", zap.Any("importResp", importResp), zap.Int64s("tasks", importResp.GetTasks()))
|
|
|
|
tasks := importResp.GetTasks()
|
|
for _, task := range tasks {
|
|
loop:
|
|
for {
|
|
importTaskState, err := c.proxy.GetImportState(ctx, &milvuspb.GetImportStateRequest{
|
|
Task: task,
|
|
})
|
|
assert.NoError(t, err)
|
|
switch importTaskState.GetState() {
|
|
case commonpb.ImportState_ImportCompleted:
|
|
break loop
|
|
case commonpb.ImportState_ImportFailed:
|
|
break loop
|
|
case commonpb.ImportState_ImportFailedAndCleaned:
|
|
break loop
|
|
default:
|
|
log.Info("import task state", zap.Int64("id", task), zap.String("state", importTaskState.GetState().String()))
|
|
time.Sleep(time.Second * time.Duration(3))
|
|
continue
|
|
}
|
|
}
|
|
}
|
|
|
|
health2, err := c.dataCoord.CheckHealth(ctx, &milvuspb.CheckHealthRequest{})
|
|
assert.NoError(t, err)
|
|
log.Info("dataCoord health", zap.Any("health2", health2))
|
|
|
|
segments, err := c.metaWatcher.ShowSegments()
|
|
assert.NoError(t, err)
|
|
assert.NotEmpty(t, segments)
|
|
for _, segment := range segments {
|
|
log.Info("ShowSegments result", zap.String("segment", segment.String()))
|
|
}
|
|
|
|
// create index
|
|
createIndexStatus, err := c.proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
|
|
CollectionName: collectionName,
|
|
FieldName: floatVecField,
|
|
IndexName: "_default",
|
|
ExtraParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "dim",
|
|
Value: strconv.Itoa(dim),
|
|
},
|
|
{
|
|
Key: common.MetricTypeKey,
|
|
Value: distance.L2,
|
|
},
|
|
{
|
|
Key: "index_type",
|
|
Value: "HNSW",
|
|
},
|
|
{
|
|
Key: "M",
|
|
Value: "64",
|
|
},
|
|
{
|
|
Key: "efConstruction",
|
|
Value: "512",
|
|
},
|
|
},
|
|
})
|
|
if createIndexStatus.GetErrorCode() != commonpb.ErrorCode_Success {
|
|
log.Warn("createIndexStatus fail reason", zap.String("reason", createIndexStatus.GetReason()))
|
|
}
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, commonpb.ErrorCode_Success, createIndexStatus.GetErrorCode())
|
|
|
|
// load
|
|
loadStatus, err := c.proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
|
|
DbName: dbName,
|
|
CollectionName: collectionName,
|
|
})
|
|
assert.NoError(t, err)
|
|
if loadStatus.GetErrorCode() != commonpb.ErrorCode_Success {
|
|
log.Warn("loadStatus fail reason", zap.String("reason", loadStatus.GetReason()))
|
|
}
|
|
assert.Equal(t, commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
|
|
for {
|
|
loadProgress, err := c.proxy.GetLoadingProgress(ctx, &milvuspb.GetLoadingProgressRequest{
|
|
CollectionName: collectionName,
|
|
})
|
|
if err != nil {
|
|
panic("GetLoadingProgress fail")
|
|
}
|
|
if loadProgress.GetProgress() == 100 {
|
|
break
|
|
}
|
|
time.Sleep(500 * time.Millisecond)
|
|
}
|
|
|
|
// search
|
|
expr := fmt.Sprintf("%s > 0", "int64")
|
|
nq := 10
|
|
topk := 10
|
|
roundDecimal := -1
|
|
nprobe := 10
|
|
|
|
searchReq := constructSearchRequest("", collectionName, expr,
|
|
floatVecField, nq, dim, nprobe, topk, roundDecimal)
|
|
|
|
searchResult, err := c.proxy.Search(ctx, searchReq)
|
|
|
|
if searchResult.GetStatus().GetErrorCode() != commonpb.ErrorCode_Success {
|
|
log.Warn("searchResult fail reason", zap.String("reason", searchResult.GetStatus().GetReason()))
|
|
}
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, commonpb.ErrorCode_Success, searchResult.GetStatus().GetErrorCode())
|
|
|
|
log.Info("======================")
|
|
log.Info("======================")
|
|
log.Info("TestBulkInsert succeed")
|
|
log.Info("======================")
|
|
log.Info("======================")
|
|
}
|
|
|
|
func GenerateNumpyFile(filePath string, rowCount int, dType schemapb.DataType, typeParams []*commonpb.KeyValuePair) error {
|
|
if dType == schemapb.DataType_VarChar {
|
|
var data []string
|
|
for i := 0; i < rowCount; i++ {
|
|
data = append(data, "str")
|
|
}
|
|
err := importutil.CreateNumpyFile(filePath, data)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
}
|
|
if dType == schemapb.DataType_FloatVector {
|
|
dimStr, ok := funcutil.KeyValuePair2Map(typeParams)["dim"]
|
|
if !ok {
|
|
return errors.New("FloatVector field needs dim parameter")
|
|
}
|
|
dim, err := strconv.Atoi(dimStr)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
//data := make([][]float32, rowCount)
|
|
var data [][Dim]float32
|
|
for i := 0; i < rowCount; i++ {
|
|
vec := [Dim]float32{}
|
|
for j := 0; j < dim; j++ {
|
|
vec[j] = 1.1
|
|
}
|
|
//v := reflect.Indirect(reflect.ValueOf(vec))
|
|
//log.Info("type", zap.Any("type", v.Kind()))
|
|
data = append(data, vec)
|
|
//v2 := reflect.Indirect(reflect.ValueOf(data))
|
|
//log.Info("type", zap.Any("type", v2.Kind()))
|
|
}
|
|
err = importutil.CreateNumpyFile(filePath, data)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func TestGenerateNumpyFile(t *testing.T) {
|
|
err := GenerateNumpyFile(TempFilesPath+"embeddings.npy", 100, schemapb.DataType_FloatVector, []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "dim",
|
|
Value: strconv.Itoa(Dim),
|
|
},
|
|
})
|
|
assert.NoError(t, err)
|
|
log.Error("err", zap.Error(err))
|
|
}
|