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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

604 lines
22 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 importv2
import (
"context"
"fmt"
"math"
"strconv"
"strings"
"time"
"github.com/samber/lo"
"google.golang.org/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/internal/util/importutilv2"
"github.com/milvus-io/milvus/pkg/v3/common"
"github.com/milvus-io/milvus/pkg/v3/mlog"
"github.com/milvus-io/milvus/pkg/v3/proto/datapb"
"github.com/milvus-io/milvus/pkg/v3/proto/internalpb"
"github.com/milvus-io/milvus/pkg/v3/util/funcutil"
"github.com/milvus-io/milvus/pkg/v3/util/merr"
"github.com/milvus-io/milvus/pkg/v3/util/metric"
"github.com/milvus-io/milvus/pkg/v3/util/paramtable"
"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
"github.com/milvus-io/milvus/tests/integration"
)
type DMLGroup struct {
insertRowNums []int
deleteRowNums []int
}
type SourceCollectionInfo struct {
collectionID int64
partitionID int64
l0SegmentIDs []int64
SegmentIDs []int64
insertedIDs *schemapb.IDs
storageVersion int
// Timestamp ranges extracted from source segments' binlogs,
// there's only one L1 segment and one L0 segment after import so we can record the min and max timestamps directly.
l1MinTs uint64 // min timestamp from L1 segments' insert binlogs
l1MaxTs uint64 // max timestamp from L1 segments' insert binlogs
l0MinTs uint64 // min timestamp from L0 segments' delta binlogs
l0MaxTs uint64 // max timestamp from L0 segments' delta binlogs
}
func (s *BulkInsertSuite) PrepareSourceCollection(dim int, dmlGroup *DMLGroup) *SourceCollectionInfo {
ctx, cancel := context.WithTimeout(context.Background(), time.Minute*10)
defer cancel()
c := s.Cluster
collectionName := "TestBinlogImport_A_" + funcutil.RandomString(8)
schema := integration.ConstructSchemaOfVecDataTypeWithStruct(collectionName, dim, true)
marshaledSchema, err := proto.Marshal(schema)
s.NoError(err)
createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
CollectionName: collectionName,
Schema: marshaledSchema,
ShardsNum: common.DefaultShardsNum,
})
s.NoError(merr.CheckRPCCall(createCollectionStatus, err))
showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{
CollectionNames: []string{collectionName},
})
s.NoError(merr.CheckRPCCall(showCollectionsResp, err))
mlog.Info(context.TODO(), "ShowCollections result", mlog.Any("showCollectionsResp", showCollectionsResp))
showPartitionsResp, err := c.MilvusClient.ShowPartitions(ctx, &milvuspb.ShowPartitionsRequest{
CollectionName: collectionName,
})
s.NoError(merr.CheckRPCCall(showPartitionsResp, err))
mlog.Info(context.TODO(), "ShowPartitions result", mlog.Any("showPartitionsResp", showPartitionsResp))
// create index
createIndexStatus, err := c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
CollectionName: collectionName,
FieldName: integration.FloatVecField,
IndexName: "_default",
ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.L2),
})
s.NoError(merr.CheckRPCCall(createIndexStatus, err))
s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
name := typeutil.ConcatStructFieldName(integration.StructArrayField, integration.StructSubFloatVecField)
createIndexResult, err := c.MilvusClient.CreateIndex(context.TODO(), &milvuspb.CreateIndexRequest{
CollectionName: collectionName,
FieldName: name,
IndexName: "array_of_vector_index",
ExtraParams: integration.ConstructIndexParam(dim, integration.IndexHNSW, metric.MaxSim),
})
s.NoError(err)
s.Require().Equal(createIndexResult.GetErrorCode(), commonpb.ErrorCode_Success)
s.WaitForIndexBuilt(context.TODO(), collectionName, name)
// load
loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
CollectionName: collectionName,
})
s.NoError(merr.CheckRPCCall(loadStatus, err))
s.WaitForLoad(ctx, collectionName)
const delBatch = 2
var (
totalInsertRowNum = 0
totalDeleteRowNum = 0
totalInsertedIDs = &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: make([]int64, 0),
},
},
}
)
for i := range dmlGroup.insertRowNums {
insRow := dmlGroup.insertRowNums[i]
delRow := dmlGroup.deleteRowNums[i]
totalInsertRowNum += insRow
totalDeleteRowNum += delRow
fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, insRow, dim)
structColumn := integration.NewStructArrayFieldData(schema.StructArrayFields[0], integration.StructArrayField, insRow, dim)
hashKeys := integration.GenerateHashKeys(insRow)
insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
CollectionName: collectionName,
FieldsData: []*schemapb.FieldData{fVecColumn, structColumn},
HashKeys: hashKeys,
NumRows: uint32(insRow),
})
s.NoError(merr.CheckRPCCall(insertResult, err))
insertedIDs := insertResult.GetIDs()
totalInsertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data = append(
totalInsertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data, insertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data...)
// delete
beginIndex := 0
for j := 0; j < delBatch; j++ {
if delRow == 0 {
continue
}
delCnt := delRow / delBatch
idBegin := insertedIDs.GetIntId().GetData()[beginIndex]
idEnd := insertedIDs.GetIntId().GetData()[beginIndex+delCnt-1]
deleteResult, err := c.MilvusClient.Delete(ctx, &milvuspb.DeleteRequest{
CollectionName: collectionName,
Expr: fmt.Sprintf("%d <= %s <= %d", idBegin, integration.Int64Field, idEnd),
})
s.NoError(merr.CheckRPCCall(deleteResult, err))
beginIndex += delCnt
}
// flush
flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
CollectionNames: []string{collectionName},
})
s.NoError(merr.CheckRPCCall(flushResp, err))
segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
ids := segmentIDs.GetData()
s.Require().NotEmpty(segmentIDs)
s.Require().True(has)
flushTs, has := flushResp.GetCollFlushTs()[collectionName]
s.True(has)
s.WaitForFlush(ctx, ids, flushTs, "", collectionName)
segments, err := c.ShowSegments(collectionName)
s.NoError(err)
s.NotEmpty(segments)
for _, segment := range segments {
mlog.Info(context.TODO(), "ShowSegments result", mlog.String("segment", segment.String()))
}
}
// check segments
segments, err := c.ShowSegments(collectionName)
s.NoError(err)
s.NotEmpty(segments)
l0Segments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
return segment.GetState() == commonpb.SegmentState_Flushed && segment.GetLevel() == datapb.SegmentLevel_L0
})
segments = lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
return segment.GetState() == commonpb.SegmentState_Flushed && segment.GetLevel() == datapb.SegmentLevel_L1
})
// check l0 segments
if totalDeleteRowNum > 0 {
s.True(len(l0Segments) > 0)
}
// Extract timestamp ranges from source segments' binlogs
var l1MinTs uint64 = math.MaxUint64
var l1MaxTs uint64 = 0
for _, segment := range segments {
for _, fieldBinlog := range segment.GetBinlogs() {
for _, binlog := range fieldBinlog.GetBinlogs() {
if binlog.GetTimestampFrom() < l1MinTs {
l1MinTs = binlog.GetTimestampFrom()
}
if binlog.GetTimestampTo() > l1MaxTs {
l1MaxTs = binlog.GetTimestampTo()
}
}
}
}
var l0MinTs uint64 = math.MaxUint64
var l0MaxTs uint64 = 0
for _, segment := range l0Segments {
for _, fieldBinlog := range segment.GetDeltalogs() {
for _, binlog := range fieldBinlog.GetBinlogs() {
if binlog.GetTimestampFrom() < l0MinTs {
l0MinTs = binlog.GetTimestampFrom()
}
if binlog.GetTimestampTo() > l0MaxTs {
l0MaxTs = binlog.GetTimestampTo()
}
}
}
}
// search
expr := fmt.Sprintf("%s > 0", integration.Int64Field)
nq := 10
topk := 10
roundDecimal := -1
params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
searchReq := integration.ConstructSearchRequest("", collectionName, expr,
integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
searchResult, err := c.MilvusClient.Search(ctx, searchReq)
err = merr.CheckRPCCall(searchResult, err)
s.NoError(err)
expectResult := nq * topk
if expectResult > totalInsertRowNum-totalDeleteRowNum {
expectResult = totalInsertRowNum - totalDeleteRowNum
}
s.Equal(expectResult, len(searchResult.GetResults().GetScores()))
// query
expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
queryResult, err := c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
CollectionName: collectionName,
Expr: expr,
OutputFields: []string{"count(*)"},
})
err = merr.CheckRPCCall(queryResult, err)
s.NoError(err)
count := int(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData()[0])
s.Equal(totalInsertRowNum-totalDeleteRowNum, count)
// query 2
expr = fmt.Sprintf("%s < %d", integration.Int64Field, totalInsertedIDs.GetIntId().GetData()[10])
queryResult, err = c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
CollectionName: collectionName,
Expr: expr,
OutputFields: []string{},
})
err = merr.CheckRPCCall(queryResult, err)
s.NoError(err)
count = len(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData())
expectCount := 10
if dmlGroup.deleteRowNums[0] >= 10 {
expectCount = 0
}
s.Equal(expectCount, count)
// get collectionID and partitionID
collectionID := showCollectionsResp.GetCollectionIds()[0]
partitionID := showPartitionsResp.GetPartitionIDs()[0]
return &SourceCollectionInfo{
collectionID: collectionID,
partitionID: partitionID,
l0SegmentIDs: lo.Map(l0Segments, func(segment *datapb.SegmentInfo, _ int) int64 {
return segment.GetID()
}),
SegmentIDs: lo.Map(segments, func(segment *datapb.SegmentInfo, _ int) int64 {
return segment.GetID()
}),
insertedIDs: totalInsertedIDs,
storageVersion: int(storage.StorageV2),
l1MinTs: l1MinTs,
l1MaxTs: l1MaxTs,
l0MinTs: l0MinTs,
l0MaxTs: l0MaxTs,
}
}
func (s *BulkInsertSuite) runBinlogTest(dmlGroup *DMLGroup) {
const dim = 128
sourceCollectionInfo := s.PrepareSourceCollection(dim, dmlGroup)
collectionID := sourceCollectionInfo.collectionID
partitionID := sourceCollectionInfo.partitionID
l0SegmentIDs := sourceCollectionInfo.l0SegmentIDs
segmentIDs := sourceCollectionInfo.SegmentIDs
insertedIDs := sourceCollectionInfo.insertedIDs
mlog.Info(context.TODO(), "prepare source collection done",
mlog.FieldCollectionID(collectionID),
mlog.FieldPartitionID(partitionID),
mlog.Int64s("segments", segmentIDs),
mlog.Int64s("l0 segments", l0SegmentIDs))
c := s.Cluster
ctx := c.GetContext()
totalInsertRowNum := lo.SumBy(dmlGroup.insertRowNums, func(num int) int {
return num
})
totalDeleteRowNum := lo.SumBy(dmlGroup.deleteRowNums, func(num int) int {
return num
})
collectionName := "TestBinlogImport_B_" + funcutil.RandomString(8)
schema := integration.ConstructSchema(collectionName, dim, true)
marshaledSchema, err := proto.Marshal(schema)
s.NoError(err)
createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
CollectionName: collectionName,
Schema: marshaledSchema,
ShardsNum: common.DefaultShardsNum,
})
s.NoError(merr.CheckRPCCall(createCollectionStatus, err))
describeCollectionResp, err := c.MilvusClient.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
CollectionName: collectionName,
})
s.NoError(merr.CheckRPCCall(describeCollectionResp, err))
newCollectionID := describeCollectionResp.GetCollectionID()
// create index
createIndexStatus, err := c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
CollectionName: collectionName,
FieldName: integration.FloatVecField,
IndexName: "_default",
ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.L2),
})
s.NoError(merr.CheckRPCCall(createIndexStatus, err))
s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
// binlog import
files := make([]*internalpb.ImportFile, 0)
for _, segmentID := range segmentIDs {
files = append(files, &internalpb.ImportFile{Paths: []string{fmt.Sprintf("%s/insert_log/%d/%d/%d",
s.Cluster.RootPath(), collectionID, partitionID, segmentID)}})
}
importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
CollectionName: collectionName,
PartitionName: paramtable.Get().CommonCfg.DefaultPartitionName.GetValue(),
Files: files,
Options: []*commonpb.KeyValuePair{
{Key: "backup", Value: "true"},
{Key: importutilv2.StorageVersion, Value: strconv.Itoa(sourceCollectionInfo.storageVersion)},
},
})
s.NoError(merr.CheckRPCCall(importResp, err))
mlog.Info(context.TODO(), "Import result", mlog.Any("importResp", importResp))
jobID := importResp.GetJobID()
err = WaitForImportDone(ctx, c, jobID)
s.NoError(err)
segments, err := c.ShowSegments(collectionName)
s.NoError(err)
s.NotEmpty(segments)
segments = lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
return segment.GetCollectionID() == newCollectionID
})
mlog.Info(context.TODO(), "Show segments", mlog.Any("segments", segments))
s.Equal(2, len(segments))
segment, ok := lo.Find(segments, func(segment *datapb.SegmentInfo) bool {
return segment.GetState() == commonpb.SegmentState_Flushed
})
s.True(ok)
s.Equal(commonpb.SegmentState_Flushed, segment.GetState())
s.True(len(segment.GetBinlogs()) > 0)
s.NoError(CheckLogID(segment.GetBinlogs()))
s.True(len(segment.GetDeltalogs()) == 0)
s.NoError(CheckLogID(segment.GetDeltalogs()))
s.True(len(segment.GetStatslogs()) > 0)
s.NoError(CheckLogID(segment.GetStatslogs()))
// Verify L1 segment positions match actual timestamps from source collection
s.Equal(sourceCollectionInfo.l1MinTs, segment.GetStartPosition().GetTimestamp(),
"L1 segment StartPosition should match actual min timestamp from source binlogs")
s.Equal(sourceCollectionInfo.l1MaxTs, segment.GetDmlPosition().GetTimestamp(),
"L1 segment DmlPosition should match actual max timestamp from source binlogs")
mlog.Info(context.TODO(), "L1 segment position verification passed")
// l0 import
if totalDeleteRowNum > 0 {
files = make([]*internalpb.ImportFile, 0)
for _, segmentID := range l0SegmentIDs {
files = append(files, &internalpb.ImportFile{Paths: []string{fmt.Sprintf("%s/delta_log/%d/%d/%d",
s.Cluster.RootPath(), collectionID, common.AllPartitionsID, segmentID)}})
}
importResp, err = c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
CollectionName: collectionName,
Files: files,
Options: []*commonpb.KeyValuePair{
{Key: "l0_import", Value: "true"},
{Key: importutilv2.StorageVersion, Value: strconv.Itoa(sourceCollectionInfo.storageVersion)},
},
})
s.NoError(merr.CheckRPCCall(importResp, err))
mlog.Info(context.TODO(), "Import result", mlog.Any("importResp", importResp))
jobID = importResp.GetJobID()
err = WaitForImportDone(ctx, c, jobID)
s.NoError(err)
segments, err = c.ShowSegments(collectionName)
s.NoError(err)
s.NotEmpty(segments)
mlog.Info(context.TODO(), "Show segments", mlog.Any("segments", segments))
l0Segments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
return segment.GetLevel() == datapb.SegmentLevel_L0
})
s.Equal(1, len(l0Segments))
segment = l0Segments[0]
s.Equal(commonpb.SegmentState_Flushed, segment.GetState())
s.Equal(common.AllPartitionsID, segment.GetPartitionID())
s.True(len(segment.GetBinlogs()) == 0)
s.True(len(segment.GetDeltalogs()) > 0)
s.NoError(CheckLogID(segment.GetDeltalogs()))
s.True(len(segment.GetStatslogs()) == 0)
// Verify L0 segment positions match actual timestamps from source collection
s.Equal(sourceCollectionInfo.l0MinTs, segment.GetStartPosition().GetTimestamp(),
"L0 segment StartPosition should match actual min timestamp from source deltalogs")
s.Equal(sourceCollectionInfo.l0MaxTs, segment.GetDmlPosition().GetTimestamp(),
"L0 segment DmlPosition should match actual max timestamp from source deltalogs")
mlog.Info(context.TODO(), "L0 segment position verification passed")
}
// load
loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
CollectionName: collectionName,
})
s.NoError(merr.CheckRPCCall(loadStatus, err))
s.WaitForLoad(ctx, collectionName)
// search
expr := fmt.Sprintf("%s > 0", integration.Int64Field)
nq := 10
topk := 10
roundDecimal := -1
params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
searchReq := integration.ConstructSearchRequest("", collectionName, expr,
integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
searchReq.ConsistencyLevel = commonpb.ConsistencyLevel_Eventually
searchResult, err := c.MilvusClient.Search(ctx, searchReq)
err = merr.CheckRPCCall(searchResult, err)
s.NoError(err)
expectResult := nq * topk
if expectResult > totalInsertRowNum-totalDeleteRowNum {
expectResult = totalInsertRowNum - totalDeleteRowNum
}
s.Equal(expectResult, len(searchResult.GetResults().GetScores()))
// check ids from collectionA, because during binlog import, even if the primary key's autoID is set to true,
// the primary key from the binlog should be used instead of being reassigned.
insertedIDsMap := lo.SliceToMap(insertedIDs.GetIntId().GetData(), func(id int64) (int64, struct{}) {
return id, struct{}{}
})
for _, id := range searchResult.GetResults().GetIds().GetIntId().GetData() {
_, ok := insertedIDsMap[id]
s.True(ok)
}
// query
expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
queryResult, err := c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
CollectionName: collectionName,
Expr: expr,
OutputFields: []string{"count(*)"},
ConsistencyLevel: commonpb.ConsistencyLevel_Eventually,
})
err = merr.CheckRPCCall(queryResult, err)
s.NoError(err)
count := int(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData()[0])
s.Equal(totalInsertRowNum-totalDeleteRowNum, count)
// query 2
expr = fmt.Sprintf("%s < %d", integration.Int64Field, insertedIDs.GetIntId().GetData()[10])
queryResult, err = c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
CollectionName: collectionName,
Expr: expr,
OutputFields: []string{},
ConsistencyLevel: commonpb.ConsistencyLevel_Eventually,
})
err = merr.CheckRPCCall(queryResult, err)
s.NoError(err)
count = len(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData())
expectCount := 10
if dmlGroup.deleteRowNums[0] >= 10 {
expectCount = 0
}
s.Equal(expectCount, count)
}
func (s *BulkInsertSuite) TestInvalidInput() {
const dim = 128
c := s.Cluster
ctx := c.GetContext()
collectionName := "TestBinlogImport_InvalidInput_" + funcutil.RandomString(8)
schema := integration.ConstructSchema(collectionName, dim, true)
marshaledSchema, err := proto.Marshal(schema)
s.NoError(err)
createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
CollectionName: collectionName,
Schema: marshaledSchema,
ShardsNum: common.DefaultShardsNum,
})
s.NoError(merr.CheckRPCCall(createCollectionStatus, err))
describeCollectionResp, err := c.MilvusClient.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
CollectionName: collectionName,
})
s.NoError(merr.CheckRPCCall(describeCollectionResp, err))
// binlog import
files := []*internalpb.ImportFile{
{
Paths: []string{"invalid-path", "invalid-path", "invalid-path"},
},
}
importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
CollectionName: collectionName,
PartitionName: paramtable.Get().CommonCfg.DefaultPartitionName.GetValue(),
Files: files,
Options: []*commonpb.KeyValuePair{
{Key: "backup", Value: "true"},
},
})
err = merr.CheckRPCCall(importResp, err)
s.True(strings.Contains(err.Error(), "too many input paths for binlog import"))
s.Error(err)
mlog.Info(context.TODO(), "Import result", mlog.Any("importResp", importResp))
}
func (s *BulkInsertSuite) TestBinlogImport() {
dmlGroup := &DMLGroup{
insertRowNums: []int{500, 500, 500},
deleteRowNums: []int{300, 300, 300},
}
s.runBinlogTest(dmlGroup)
}
func (s *BulkInsertSuite) TestBinlogImport_NoDelete() {
dmlGroup := &DMLGroup{
insertRowNums: []int{500, 500, 500},
deleteRowNums: []int{0, 0, 0},
}
s.runBinlogTest(dmlGroup)
}
func (s *BulkInsertSuite) TestBinlogImport_Partial_0_Rows_Segment() {
dmlGroup := &DMLGroup{
insertRowNums: []int{500, 500, 500},
deleteRowNums: []int{500, 300, 0},
}
s.runBinlogTest(dmlGroup)
}
func (s *BulkInsertSuite) TestBinlogImport_All_0_Rows_Segment() {
dmlGroup := &DMLGroup{
insertRowNums: []int{500, 500, 500},
deleteRowNums: []int{500, 500, 500},
}
s.runBinlogTest(dmlGroup)
}