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When autoID is enabled, the preimport task estimates row distribution by evenly dividing the total row count (numRows) across all vchannels: `estimatedCount = numRows / vchannelNum`. However, the actual import task hashes real auto-generated IDs to determine the target vchannel. This mismatch can lead to inaccurate row distribution estimation in such corner cases: - Importing 1 row into 2 vchannels: • Preimport: 1 / 2 = 0 → both v0 and v1 are estimated to have 0 rows • Import: real autoID (e.g., 457975852966809057) hashes to v1 → actual result: v0 = 0, v1 = 1 To resolve such corner case, we now allocate at least one segment for each vchannel when autoID is enabled, ensuring all vchannels are prepared to receive data even if no rows are estimated for them. issue: https://github.com/milvus-io/milvus/issues/41759 --------- Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
390 lines
12 KiB
Go
390 lines
12 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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"math/rand"
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"os"
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"strings"
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"time"
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"github.com/samber/lo"
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"go.uber.org/zap"
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"google.golang.org/protobuf/proto"
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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/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/log"
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"github.com/milvus-io/milvus/pkg/v2/proto/internalpb"
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"github.com/milvus-io/milvus/pkg/v2/util/funcutil"
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"github.com/milvus-io/milvus/pkg/v2/util/merr"
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"github.com/milvus-io/milvus/pkg/v2/util/metric"
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"github.com/milvus-io/milvus/tests/integration"
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)
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func (s *BulkInsertSuite) TestImportWithPartitionKey() {
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const (
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rowCount = 10000
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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_WithPartitionKey_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchema(collectionName, dim, true, &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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}, &schemapb.FieldSchema{
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FieldID: 101,
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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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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim),
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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.VarCharField,
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: fmt.Sprintf("%d", 256),
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},
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},
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IsPartitionKey: true,
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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.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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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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s.NoError(err)
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s.Equal(int32(0), createCollectionStatus.GetCode())
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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: integration.FloatVecField,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(err)
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s.Equal(int32(0), createIndexStatus.GetCode())
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// import
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var files []*internalpb.ImportFile
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err = os.MkdirAll(c.ChunkManager.RootPath(), os.ModePerm)
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s.NoError(err)
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filePath := fmt.Sprintf("/tmp/test_%d.parquet", rand.Int())
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insertData, err := GenerateParquetFileAndReturnInsertData(filePath, schema, rowCount)
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s.NoError(err)
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defer os.Remove(filePath)
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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.Proxy.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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s.Equal(int32(0), importResp.GetStatus().GetCode())
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log.Info("Import result", zap.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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// load
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loadStatus, err := c.Proxy.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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segments, err := c.MetaWatcher.ShowSegments()
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s.NoError(err)
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s.NotEmpty(segments)
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log.Info("Show segments", zap.Any("segments", segments))
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// load refresh
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loadStatus, err = c.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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Refresh: true,
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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.WaitForLoadRefresh(ctx, "", collectionName)
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// query partition key, TermExpr
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queryNum := 10
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partitionKeyData := insertData.Data[int64(102)].GetDataRows().([]string)
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queryData := partitionKeyData[:queryNum]
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strs := lo.Map(queryData, func(str string, _ int) string {
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return fmt.Sprintf("\"%s\"", str)
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})
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str := strings.Join(strs, `,`)
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expr := fmt.Sprintf("%s in [%v]", integration.VarCharField, str)
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queryResult, err := c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(queryNum, len(resData))
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s.ElementsMatch(resData, queryData)
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}
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}
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// query partition key, CmpOp 1
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expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
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queryResult, err = c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(rowCount, len(resData))
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s.ElementsMatch(resData, partitionKeyData)
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}
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}
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// query partition key, CmpOp 2
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target := partitionKeyData[rand.Intn(rowCount)]
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expr = fmt.Sprintf("%s == \"%s\"", integration.VarCharField, target)
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queryResult, err = c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(1, len(resData))
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s.Equal(resData[0], target)
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}
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}
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}
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func (s *BulkInsertSuite) TestImportWithAFewRows() {
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const (
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rowCount = 10
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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_WithPartitionKey_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchema(collectionName, dim, true, &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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}, &schemapb.FieldSchema{
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FieldID: 101,
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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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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim),
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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.VarCharField,
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: fmt.Sprintf("%d", 256),
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},
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},
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IsPartitionKey: true,
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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.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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DbName: "",
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CollectionName: collectionName,
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Schema: marshaledSchema,
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ShardsNum: 4,
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})
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s.NoError(err)
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s.Equal(int32(0), createCollectionStatus.GetCode())
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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: integration.FloatVecField,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(err)
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s.Equal(int32(0), createIndexStatus.GetCode())
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// import
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var files []*internalpb.ImportFile
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err = os.MkdirAll(c.ChunkManager.RootPath(), os.ModePerm)
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s.NoError(err)
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filePath := fmt.Sprintf("/tmp/test_%d.parquet", rand.Int())
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insertData, err := GenerateParquetFileAndReturnInsertData(filePath, schema, rowCount)
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s.NoError(err)
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defer os.Remove(filePath)
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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.Proxy.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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s.Equal(int32(0), importResp.GetStatus().GetCode())
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log.Info("Import result", zap.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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// load
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loadStatus, err := c.Proxy.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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segments, err := c.MetaWatcher.ShowSegments()
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s.NoError(err)
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s.NotEmpty(segments)
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log.Info("Show segments", zap.Any("segments", segments))
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// load refresh
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loadStatus, err = c.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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Refresh: true,
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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.WaitForLoadRefresh(ctx, "", collectionName)
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// query partition key, TermExpr
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queryNum := 10
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partitionKeyData := insertData.Data[int64(102)].GetDataRows().([]string)
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queryData := partitionKeyData[:queryNum]
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strs := lo.Map(queryData, func(str string, _ int) string {
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return fmt.Sprintf("\"%s\"", str)
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})
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str := strings.Join(strs, `,`)
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expr := fmt.Sprintf("%s in [%v]", integration.VarCharField, str)
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queryResult, err := c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(queryNum, len(resData))
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s.ElementsMatch(resData, queryData)
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}
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}
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// query partition key, CmpOp 1
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expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
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queryResult, err = c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(rowCount, len(resData))
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s.ElementsMatch(resData, partitionKeyData)
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}
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}
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// query partition key, CmpOp 2
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target := partitionKeyData[rand.Intn(rowCount)]
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expr = fmt.Sprintf("%s == \"%s\"", integration.VarCharField, target)
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queryResult, err = c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{integration.VarCharField},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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for _, data := range queryResult.GetFieldsData() {
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if data.GetType() == schemapb.DataType_VarChar {
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resData := data.GetScalars().GetStringData().GetData()
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s.Equal(1, len(resData))
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s.Equal(resData[0], target)
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}
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}
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}
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