milvus/internal/datanode/importv2/scheduler_test.go
yihao.dai a29b3272b0
fix: Improve import memory management to prevent OOM (#43568)
1. Use blocking memory allocation to wait until memory becomes available
2. Perform memory allocation at the file level instead of per task
3. Limit Parquet file reader batch size to prevent excessive memory
consumption
4. Limit import buffer size from 20% to 10% of total memory

issue: https://github.com/milvus-io/milvus/issues/43387,
https://github.com/milvus-io/milvus/issues/43131

---------

Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
2025-07-28 21:25:35 +08:00

558 lines
16 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"
"io"
"strconv"
"strings"
"sync"
"testing"
"time"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/mock"
"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/flushcommon/syncmgr"
"github.com/milvus-io/milvus/internal/json"
"github.com/milvus-io/milvus/internal/mocks"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/internal/util/function"
"github.com/milvus-io/milvus/internal/util/importutilv2"
"github.com/milvus-io/milvus/internal/util/testutil"
"github.com/milvus-io/milvus/pkg/v2/common"
"github.com/milvus-io/milvus/pkg/v2/proto/datapb"
"github.com/milvus-io/milvus/pkg/v2/proto/internalpb"
"github.com/milvus-io/milvus/pkg/v2/util/conc"
"github.com/milvus-io/milvus/pkg/v2/util/paramtable"
)
type sampleRow struct {
FieldString string `json:"pk,omitempty"`
FieldInt64 int64 `json:"int64,omitempty"`
FieldFloatVector []float32 `json:"vec,omitempty"`
}
type sampleContent struct {
Rows []sampleRow `json:"rows,omitempty"`
}
type mockReader struct {
io.Reader
io.Closer
io.ReaderAt
io.Seeker
size int64
}
func (mr *mockReader) Size() (int64, error) {
return mr.size, nil
}
type SchedulerSuite struct {
suite.Suite
numRows int
schema *schemapb.CollectionSchema
cm storage.ChunkManager
reader *importutilv2.MockReader
syncMgr *syncmgr.MockSyncManager
manager TaskManager
scheduler *scheduler
}
func (s *SchedulerSuite) SetupSuite() {
paramtable.Init()
}
func (s *SchedulerSuite) SetupTest() {
s.numRows = 100
s.schema = &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "pk",
IsPrimaryKey: true,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{Key: common.MaxLengthKey, Value: "128"},
},
},
{
FieldID: 101,
Name: "vec",
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "4",
},
},
},
{
FieldID: 102,
Name: "int64",
DataType: schemapb.DataType_Int64,
},
},
}
s.manager = NewTaskManager()
s.syncMgr = syncmgr.NewMockSyncManager(s.T())
s.scheduler = NewScheduler(s.manager).(*scheduler)
}
func (s *SchedulerSuite) TearDownTest() {
s.scheduler.Close()
}
func (s *SchedulerSuite) TestScheduler_Slots() {
preimportReq := &datapb.PreImportRequest{
JobID: 1,
TaskID: 2,
CollectionID: 3,
PartitionIDs: []int64{4},
Vchannels: []string{"ch-0"},
Schema: s.schema,
ImportFiles: []*internalpb.ImportFile{{Paths: []string{"dummy.json"}}},
TaskSlot: 10,
}
preimportTask := NewPreImportTask(preimportReq, s.manager, s.cm)
s.manager.Add(preimportTask)
slots := s.scheduler.Slots()
s.Equal(int64(10), slots)
}
func (s *SchedulerSuite) TestScheduler_Start_Preimport() {
content := &sampleContent{
Rows: make([]sampleRow, 0),
}
for i := 0; i < 10; i++ {
row := sampleRow{
FieldString: "No." + strconv.FormatInt(int64(i), 10),
FieldInt64: int64(99999999999999999 + i),
FieldFloatVector: []float32{float32(i) + 0.1, float32(i) + 0.2, float32(i) + 0.3, float32(i) + 0.4},
}
content.Rows = append(content.Rows, row)
}
bytes, err := json.Marshal(content)
s.NoError(err)
cm := mocks.NewChunkManager(s.T())
ioReader := strings.NewReader(string(bytes))
cm.EXPECT().Size(mock.Anything, mock.Anything).Return(1024, nil)
cm.EXPECT().Reader(mock.Anything, mock.Anything).Return(&mockReader{Reader: ioReader, Closer: io.NopCloser(ioReader)}, nil)
s.cm = cm
preimportReq := &datapb.PreImportRequest{
JobID: 1,
TaskID: 2,
CollectionID: 3,
PartitionIDs: []int64{4},
Vchannels: []string{"ch-0"},
Schema: s.schema,
ImportFiles: []*internalpb.ImportFile{{Paths: []string{"dummy.json"}}},
}
preimportTask := NewPreImportTask(preimportReq, s.manager, s.cm)
s.manager.Add(preimportTask)
go s.scheduler.Start()
defer s.scheduler.Close()
s.Eventually(func() bool {
return s.manager.Get(preimportTask.GetTaskID()).GetState() == datapb.ImportTaskStateV2_Completed
}, 10*time.Second, 100*time.Millisecond)
}
func (s *SchedulerSuite) TestScheduler_Start_Preimport_Failed() {
content := &sampleContent{
Rows: make([]sampleRow, 0),
}
for i := 0; i < 10; i++ {
var row sampleRow
if i == 0 { // make rows not consistent
row = sampleRow{
FieldString: "No." + strconv.FormatInt(int64(i), 10),
FieldFloatVector: []float32{float32(i) + 0.1, float32(i) + 0.2, float32(i) + 0.3, float32(i) + 0.4},
}
} else {
row = sampleRow{
FieldString: "No." + strconv.FormatInt(int64(i), 10),
FieldInt64: int64(99999999999999999 + i),
FieldFloatVector: []float32{float32(i) + 0.1, float32(i) + 0.2, float32(i) + 0.3, float32(i) + 0.4},
}
}
content.Rows = append(content.Rows, row)
}
bytes, err := json.Marshal(content)
s.NoError(err)
cm := mocks.NewChunkManager(s.T())
ioReader := strings.NewReader(string(bytes))
cm.EXPECT().Size(mock.Anything, mock.Anything).Return(1024, nil)
cm.EXPECT().Reader(mock.Anything, mock.Anything).Return(&mockReader{Reader: ioReader, Closer: io.NopCloser(ioReader)}, nil)
s.cm = cm
preimportReq := &datapb.PreImportRequest{
JobID: 1,
TaskID: 2,
CollectionID: 3,
PartitionIDs: []int64{4},
Vchannels: []string{"ch-0"},
Schema: s.schema,
ImportFiles: []*internalpb.ImportFile{{Paths: []string{"dummy.json"}}},
}
preimportTask := NewPreImportTask(preimportReq, s.manager, s.cm)
s.manager.Add(preimportTask)
go s.scheduler.Start()
defer s.scheduler.Close()
s.Eventually(func() bool {
return s.manager.Get(preimportTask.GetTaskID()).GetState() == datapb.ImportTaskStateV2_Failed
}, 10*time.Second, 100*time.Millisecond)
}
func (s *SchedulerSuite) TestScheduler_Start_Import() {
content := &sampleContent{
Rows: make([]sampleRow, 0),
}
for i := 0; i < 10; i++ {
row := sampleRow{
FieldString: "No." + strconv.FormatInt(int64(i), 10),
FieldInt64: int64(99999999999999999 + i),
FieldFloatVector: []float32{float32(i) + 0.1, float32(i) + 0.2, float32(i) + 0.3, float32(i) + 0.4},
}
content.Rows = append(content.Rows, row)
}
bytes, err := json.Marshal(content)
s.NoError(err)
cm := mocks.NewChunkManager(s.T())
ioReader := strings.NewReader(string(bytes))
cm.EXPECT().Reader(mock.Anything, mock.Anything).Return(&mockReader{Reader: ioReader, Closer: io.NopCloser(ioReader)}, nil)
s.cm = cm
s.syncMgr.EXPECT().SyncDataWithChunkManager(mock.Anything, mock.Anything, mock.Anything).RunAndReturn(func(ctx context.Context, task syncmgr.Task, cm storage.ChunkManager, callbacks ...func(error) error) (*conc.Future[struct{}], error) {
future := conc.Go(func() (struct{}, error) {
return struct{}{}, nil
})
return future, nil
})
importReq := &datapb.ImportRequest{
JobID: 10,
TaskID: 11,
CollectionID: 12,
PartitionIDs: []int64{13},
Vchannels: []string{"v0"},
Schema: s.schema,
Files: []*internalpb.ImportFile{
{
Paths: []string{"dummy.json"},
},
},
Ts: 1000,
IDRange: &datapb.IDRange{
Begin: 0,
End: int64(s.numRows),
},
RequestSegments: []*datapb.ImportRequestSegment{
{
SegmentID: 14,
PartitionID: 13,
Vchannel: "v0",
},
},
}
importTask := NewImportTask(importReq, s.manager, s.syncMgr, s.cm)
s.manager.Add(importTask)
go s.scheduler.Start()
defer s.scheduler.Close()
s.Eventually(func() bool {
return s.manager.Get(importTask.GetTaskID()).GetState() == datapb.ImportTaskStateV2_Completed
}, 10*time.Second, 100*time.Millisecond)
}
func (s *SchedulerSuite) TestScheduler_Start_Import_Failed() {
content := &sampleContent{
Rows: make([]sampleRow, 0),
}
for i := 0; i < 10; i++ {
row := sampleRow{
FieldString: "No." + strconv.FormatInt(int64(i), 10),
FieldInt64: int64(99999999999999999 + i),
FieldFloatVector: []float32{float32(i) + 0.1, float32(i) + 0.2, float32(i) + 0.3, float32(i) + 0.4},
}
content.Rows = append(content.Rows, row)
}
bytes, err := json.Marshal(content)
s.NoError(err)
cm := mocks.NewChunkManager(s.T())
ioReader := strings.NewReader(string(bytes))
cm.EXPECT().Reader(mock.Anything, mock.Anything).Return(&mockReader{Reader: ioReader, Closer: io.NopCloser(ioReader)}, nil)
s.cm = cm
s.syncMgr.EXPECT().SyncDataWithChunkManager(mock.Anything, mock.Anything, mock.Anything).RunAndReturn(func(ctx context.Context, task syncmgr.Task, cm storage.ChunkManager, callbacks ...func(error) error) (*conc.Future[struct{}], error) {
future := conc.Go(func() (struct{}, error) {
return struct{}{}, errors.New("mock err")
})
return future, nil
})
importReq := &datapb.ImportRequest{
JobID: 10,
TaskID: 11,
CollectionID: 12,
PartitionIDs: []int64{13},
Vchannels: []string{"v0"},
Schema: s.schema,
Files: []*internalpb.ImportFile{
{
Paths: []string{"dummy.json"},
},
},
Ts: 1000,
IDRange: &datapb.IDRange{
Begin: 0,
End: int64(s.numRows),
},
RequestSegments: []*datapb.ImportRequestSegment{
{
SegmentID: 14,
PartitionID: 13,
Vchannel: "v0",
},
},
}
importTask := NewImportTask(importReq, s.manager, s.syncMgr, s.cm)
s.manager.Add(importTask)
go s.scheduler.Start()
defer s.scheduler.Close()
s.Eventually(func() bool {
return s.manager.Get(importTask.GetTaskID()).GetState() == datapb.ImportTaskStateV2_Failed
}, 10*time.Second, 100*time.Millisecond)
}
func (s *SchedulerSuite) TestScheduler_ReadFileStat() {
importFile := &internalpb.ImportFile{
Paths: []string{"dummy.json"},
}
var once sync.Once
data, err := testutil.CreateInsertData(s.schema, s.numRows)
s.NoError(err)
s.reader = importutilv2.NewMockReader(s.T())
s.reader.EXPECT().Size().Return(1024, nil)
s.reader.EXPECT().Read().RunAndReturn(func() (*storage.InsertData, error) {
var res *storage.InsertData
once.Do(func() {
res = data
})
if res != nil {
return res, nil
}
return nil, io.EOF
})
preimportReq := &datapb.PreImportRequest{
JobID: 1,
TaskID: 2,
CollectionID: 3,
PartitionIDs: []int64{4},
Vchannels: []string{"ch-0"},
Schema: s.schema,
ImportFiles: []*internalpb.ImportFile{importFile},
}
preimportTask := NewPreImportTask(preimportReq, s.manager, s.cm)
s.manager.Add(preimportTask)
err = preimportTask.(*PreImportTask).readFileStat(s.reader, 0)
s.NoError(err)
}
func (s *SchedulerSuite) TestScheduler_ImportFile() {
s.syncMgr.EXPECT().SyncDataWithChunkManager(mock.Anything, mock.Anything, mock.Anything).RunAndReturn(func(ctx context.Context, task syncmgr.Task, cm storage.ChunkManager, callbacks ...func(error) error) (*conc.Future[struct{}], error) {
future := conc.Go(func() (struct{}, error) {
return struct{}{}, nil
})
return future, nil
})
var once sync.Once
data, err := testutil.CreateInsertData(s.schema, s.numRows)
s.NoError(err)
s.reader = importutilv2.NewMockReader(s.T())
s.reader.EXPECT().Read().RunAndReturn(func() (*storage.InsertData, error) {
var res *storage.InsertData
once.Do(func() {
res = data
})
if res != nil {
return res, nil
}
return nil, io.EOF
})
importReq := &datapb.ImportRequest{
JobID: 10,
TaskID: 11,
CollectionID: 12,
PartitionIDs: []int64{13},
Vchannels: []string{"v0"},
Schema: s.schema,
Files: []*internalpb.ImportFile{
{
Paths: []string{"dummy.json"},
},
},
Ts: 1000,
IDRange: &datapb.IDRange{
Begin: 0,
End: int64(s.numRows),
},
RequestSegments: []*datapb.ImportRequestSegment{
{
SegmentID: 14,
PartitionID: 13,
Vchannel: "v0",
},
},
}
importTask := NewImportTask(importReq, s.manager, s.syncMgr, s.cm)
s.manager.Add(importTask)
err = importTask.(*ImportTask).importFile(s.reader)
s.NoError(err)
}
func (s *SchedulerSuite) TestScheduler_ImportFileWithFunction() {
paramtable.Init()
paramtable.Get().CredentialCfg.Credential.GetFunc = func() map[string]string {
return map[string]string{
"mock.apikey": "mock",
}
}
s.syncMgr.EXPECT().SyncDataWithChunkManager(mock.Anything, mock.Anything, mock.Anything).RunAndReturn(func(ctx context.Context, task syncmgr.Task, cm storage.ChunkManager, callbacks ...func(error) error) (*conc.Future[struct{}], error) {
future := conc.Go(func() (struct{}, error) {
return struct{}{}, nil
})
return future, nil
})
ts := function.CreateOpenAIEmbeddingServer()
defer ts.Close()
paramtable.Get().FunctionCfg.TextEmbeddingProviders.GetFunc = func() map[string]string {
return map[string]string{
"openai.url": ts.URL,
}
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "pk",
IsPrimaryKey: true,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{Key: common.MaxLengthKey, Value: "128"},
},
},
{
FieldID: 101,
Name: "vec",
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "4",
},
},
},
{
FieldID: 102,
Name: "int64",
DataType: schemapb.DataType_Int64,
},
},
Functions: []*schemapb.FunctionSchema{
{
Name: "test",
Type: schemapb.FunctionType_TextEmbedding,
InputFieldIds: []int64{100},
InputFieldNames: []string{"text"},
OutputFieldIds: []int64{101},
OutputFieldNames: []string{"vec"},
Params: []*commonpb.KeyValuePair{
{Key: "provider", Value: "openai"},
{Key: "model_name", Value: "text-embedding-ada-002"},
{Key: "credential", Value: "mock"},
{Key: "dim", Value: "4"},
},
},
},
}
var once sync.Once
data, err := testutil.CreateInsertData(schema, s.numRows)
s.NoError(err)
s.reader = importutilv2.NewMockReader(s.T())
s.reader.EXPECT().Read().RunAndReturn(func() (*storage.InsertData, error) {
var res *storage.InsertData
once.Do(func() {
res = data
})
if res != nil {
return res, nil
}
return nil, io.EOF
})
importReq := &datapb.ImportRequest{
JobID: 10,
TaskID: 11,
CollectionID: 12,
PartitionIDs: []int64{13},
Vchannels: []string{"v0"},
Schema: schema,
Files: []*internalpb.ImportFile{
{
Paths: []string{"dummy.json"},
},
},
Ts: 1000,
IDRange: &datapb.IDRange{
Begin: 0,
End: int64(s.numRows),
},
RequestSegments: []*datapb.ImportRequestSegment{
{
SegmentID: 14,
PartitionID: 13,
Vchannel: "v0",
},
},
}
importTask := NewImportTask(importReq, s.manager, s.syncMgr, s.cm)
s.manager.Add(importTask)
err = importTask.(*ImportTask).importFile(s.reader)
s.NoError(err)
}
func TestScheduler(t *testing.T) {
suite.Run(t, new(SchedulerSuite))
}