milvus/internal/storage/serde_delta.go
congqixia f94b04e642
feat: [2.6] integrate Loon FFI for manifest-based segment loading and index building (#46076)
Cherry-pick from master
pr: #45061 #45488 #45803 #46017 #44991 #45132 #45723 #45726 #45798
#45897 #45918 #44998

This feature integrates the Storage V2 (Loon) FFI interface as a unified
storage layer for segment loading and index building in Milvus. It
enables
manifest-based data access, replacing the traditional binlog-based
approach
with a more efficient columnar storage format.

Key changes:

### Segment Self-Managed Loading Architecture
- Move segment loading orchestration from Go layer to C++ segcore
- Add NewSegmentWithLoadInfo() API for passing load info during segment
creation
- Implement SetLoadInfo() and Load() methods in SegmentInterface
- Support parallel loading of indexed and non-indexed fields
- Enable both sealed and growing segments to self-manage loading

### Storage V2 FFI Integration
- Integrate milvus-storage library's FFI interface for packed columnar
data
- Add manifest path support throughout the data path (SegmentInfo,
LoadInfo)
- Implement ManifestReader for generating manifests from binlogs
- Support zero-copy data exchange using Arrow C Data Interface
- Add ToCStorageConfig() for Go-to-C storage config conversion

### Manifest-Based Index Building
- Extend FileManagerContext to carry loon_ffi_properties
- Implement GetFieldDatasFromManifest() using Arrow C Stream interface
- Support manifest-based reading in DiskFileManagerImpl and
MemFileManagerImpl
- Add fallback to traditional segment insert files when manifest
unavailable

### Compaction Pipeline Updates
- Include manifest path in all compaction task builders (clustering, L0,
mix)
- Update BulkPackWriterV2 to return manifest path
- Propagate manifest metadata through compaction pipeline

### Configuration & Protocol
- Add common.storageV2.useLoonFFI config option (default: false)
- Add manifest_path field to SegmentLoadInfo and related proto messages
- Add manifest field to compaction segment messages

### Bug Fixes
- Fix mmap settings not applied during segment load (key typo fix)
- Populate index info after segment loading to prevent redundant load
tasks
- Fix memory corruption by removing premature transaction handle
destruction

Related issues: #44956, #45060, #39173

## Individual Cherry-Picked Commits

1. **e1c923b5cc** - fix: apply mmap settings correctly during segment
load (#46017)
2. **63b912370b** - enhance: use milvus-storage internal C++ Reader API
for Loon FFI (#45897)
3. **bfc192faa5** - enhance: Resolve issues integrating loon FFI
(#45918)
4. **fb18564631** - enhance: support manifest-based index building with
Loon FFI reader (#45726)
5. **b9ec2392b9** - enhance: integrate StorageV2 FFI interface for
manifest-based segment loading (#45798)
6. **66db3c32e6** - enhance: integrate Storage V2 FFI interface for
unified storage access (#45723)
7. **ae789273ac** - fix: populate index info after segment loading to
prevent redundant load tasks (#45803)
8. **49688b0be2** - enhance: Move segment loading logic from Go layer to
segcore for self-managed loading (#45488)
9. **5b2df88bac** - enhance: [StorageV2] Integrate FFI interface for
packed reader (#45132)
10. **91ff5706ac** - enhance: [StorageV2] add manifest path support for
FFI integration (#44991)
11. **2192bb4a85** - enhance: add NewSegmentWithLoadInfo API to support
segment self-managed loading (#45061)
12. **4296b01da0** - enhance: update delta log serialization APIs to
integrate storage V2 (#44998)

## Technical Details

### Architecture Changes
- **Before**: Go layer orchestrated segment loading, making multiple CGO
calls
- **After**: Segments autonomously manage loading in C++ layer with
single entry point

### Storage Access Pattern
- **Before**: Read individual binlog files through Go storage layer
- **After**: Read manifest file that references packed columnar data via
FFI

### Benefits
- Reduced cross-language call overhead
- Better resource management at C++ level
- Improved I/O performance through batched streaming reads
- Cleaner separation of concerns between Go and C++ layers
- Foundation for proactive schema evolution handling

---------

Signed-off-by: Ted Xu <ted.xu@zilliz.com>
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Co-authored-by: Ted Xu <ted.xu@zilliz.com>
2025-12-04 17:09:12 +08:00

628 lines
17 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 storage
import (
"bytes"
"context"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"strconv"
"github.com/apache/arrow/go/v17/arrow"
"github.com/apache/arrow/go/v17/arrow/array"
"github.com/apache/arrow/go/v17/arrow/memory"
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/v2/common"
"github.com/milvus-io/milvus/pkg/v2/util/merr"
"github.com/milvus-io/milvus/pkg/v2/util/paramtable"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
// newDeltalogOneFieldReader creates a reader for the old single-field deltalog format
func newDeltalogOneFieldReader(blobs []*Blob) (*DeserializeReaderImpl[*DeleteLog], error) {
reader := newIterativeCompositeBinlogRecordReader(
&schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
DataType: schemapb.DataType_VarChar,
},
},
},
nil,
MakeBlobsReader(blobs))
return NewDeserializeReader(reader, func(r Record, v []*DeleteLog) error {
for i := 0; i < r.Len(); i++ {
if v[i] == nil {
v[i] = &DeleteLog{}
}
// retrieve the only field
a := r.(*compositeRecord).recs[0].(*array.String)
strVal := a.Value(i)
if err := v[i].Parse(strVal); err != nil {
return err
}
}
return nil
}), nil
}
// DeltalogStreamWriter writes deltalog in the old JSON format
type DeltalogStreamWriter struct {
collectionID UniqueID
partitionID UniqueID
segmentID UniqueID
fieldSchema *schemapb.FieldSchema
buf bytes.Buffer
rw *singleFieldRecordWriter
}
func (dsw *DeltalogStreamWriter) GetRecordWriter() (RecordWriter, error) {
if dsw.rw != nil {
return dsw.rw, nil
}
rw, err := newSingleFieldRecordWriter(dsw.fieldSchema, &dsw.buf, WithRecordWriterProps(getFieldWriterProps(dsw.fieldSchema)))
if err != nil {
return nil, err
}
dsw.rw = rw
return rw, nil
}
func (dsw *DeltalogStreamWriter) Finalize() (*Blob, error) {
if dsw.rw == nil {
return nil, io.ErrUnexpectedEOF
}
dsw.rw.Close()
var b bytes.Buffer
if err := dsw.writeDeltalogHeaders(&b); err != nil {
return nil, err
}
if _, err := b.Write(dsw.buf.Bytes()); err != nil {
return nil, err
}
return &Blob{
Value: b.Bytes(),
RowNum: int64(dsw.rw.numRows),
MemorySize: int64(dsw.rw.writtenUncompressed),
}, nil
}
func (dsw *DeltalogStreamWriter) writeDeltalogHeaders(w io.Writer) error {
// Write magic number
if err := binary.Write(w, common.Endian, MagicNumber); err != nil {
return err
}
// Write descriptor
de := NewBaseDescriptorEvent(dsw.collectionID, dsw.partitionID, dsw.segmentID)
de.PayloadDataType = dsw.fieldSchema.DataType
de.descriptorEventData.AddExtra(originalSizeKey, strconv.Itoa(int(dsw.rw.writtenUncompressed)))
if err := de.Write(w); err != nil {
return err
}
// Write event header
eh := newEventHeader(DeleteEventType)
// Write event data
ev := newDeleteEventData()
ev.StartTimestamp = 1
ev.EndTimestamp = 1
eh.EventLength = int32(dsw.buf.Len()) + eh.GetMemoryUsageInBytes() + int32(binary.Size(ev))
// eh.NextPosition = eh.EventLength + w.Offset()
if err := eh.Write(w); err != nil {
return err
}
if err := ev.WriteEventData(w); err != nil {
return err
}
return nil
}
func newDeltalogStreamWriter(collectionID, partitionID, segmentID UniqueID) *DeltalogStreamWriter {
return &DeltalogStreamWriter{
collectionID: collectionID,
partitionID: partitionID,
segmentID: segmentID,
fieldSchema: &schemapb.FieldSchema{
FieldID: common.RowIDField,
Name: "delta",
DataType: schemapb.DataType_String,
},
}
}
func newDeltalogSerializeWriter(eventWriter *DeltalogStreamWriter, batchSize int) (*SerializeWriterImpl[*DeleteLog], error) {
rws := make(map[FieldID]RecordWriter, 1)
rw, err := eventWriter.GetRecordWriter()
if err != nil {
return nil, err
}
rws[0] = rw
compositeRecordWriter := NewCompositeRecordWriter(rws)
return NewSerializeRecordWriter(compositeRecordWriter, func(v []*DeleteLog) (Record, error) {
builder := array.NewBuilder(memory.DefaultAllocator, arrow.BinaryTypes.String)
for _, vv := range v {
strVal, err := json.Marshal(vv)
if err != nil {
return nil, err
}
builder.AppendValueFromString(string(strVal))
}
arr := []arrow.Array{builder.NewArray()}
field := []arrow.Field{{
Name: "delta",
Type: arrow.BinaryTypes.String,
Nullable: false,
}}
field2Col := map[FieldID]int{
0: 0,
}
return NewSimpleArrowRecord(array.NewRecord(arrow.NewSchema(field, nil), arr, int64(len(v))), field2Col), nil
}, batchSize), nil
}
var _ RecordReader = (*simpleArrowRecordReader)(nil)
// simpleArrowRecordReader reads simple arrow records from blobs
type simpleArrowRecordReader struct {
blobs []*Blob
blobPos int
rr array.RecordReader
closer func()
r simpleArrowRecord
}
func (crr *simpleArrowRecordReader) iterateNextBatch() error {
if crr.closer != nil {
crr.closer()
}
crr.blobPos++
if crr.blobPos >= len(crr.blobs) {
return io.EOF
}
reader, err := NewBinlogReader(crr.blobs[crr.blobPos].Value)
if err != nil {
return err
}
er, err := reader.NextEventReader()
if err != nil {
return err
}
rr, err := er.GetArrowRecordReader()
if err != nil {
return err
}
crr.rr = rr
crr.closer = func() {
crr.rr.Release()
er.Close()
reader.Close()
}
return nil
}
func (crr *simpleArrowRecordReader) Next() (Record, error) {
if crr.rr == nil {
if len(crr.blobs) == 0 {
return nil, io.EOF
}
crr.blobPos = -1
crr.r = simpleArrowRecord{
field2Col: make(map[FieldID]int),
}
if err := crr.iterateNextBatch(); err != nil {
return nil, err
}
}
composeRecord := func() bool {
if ok := crr.rr.Next(); !ok {
return false
}
record := crr.rr.Record()
for i := range record.Schema().Fields() {
crr.r.field2Col[FieldID(i)] = i
}
crr.r.r = record
return true
}
if ok := composeRecord(); !ok {
if err := crr.iterateNextBatch(); err != nil {
return nil, err
}
if ok := composeRecord(); !ok {
return nil, io.EOF
}
}
return &crr.r, nil
}
func (crr *simpleArrowRecordReader) SetNeededFields(_ typeutil.Set[int64]) {
// no-op for simple arrow record reader
}
func (crr *simpleArrowRecordReader) Close() error {
if crr.closer != nil {
crr.closer()
}
return nil
}
func newSimpleArrowRecordReader(blobs []*Blob) (*simpleArrowRecordReader, error) {
return &simpleArrowRecordReader{
blobs: blobs,
}, nil
}
// MultiFieldDeltalogStreamWriter writes deltalog in the new multi-field parquet format
type MultiFieldDeltalogStreamWriter struct {
collectionID UniqueID
partitionID UniqueID
segmentID UniqueID
pkType schemapb.DataType
buf bytes.Buffer
rw *multiFieldRecordWriter
}
func newMultiFieldDeltalogStreamWriter(collectionID, partitionID, segmentID UniqueID, pkType schemapb.DataType) *MultiFieldDeltalogStreamWriter {
return &MultiFieldDeltalogStreamWriter{
collectionID: collectionID,
partitionID: partitionID,
segmentID: segmentID,
pkType: pkType,
}
}
func (dsw *MultiFieldDeltalogStreamWriter) GetRecordWriter() (RecordWriter, error) {
if dsw.rw != nil {
return dsw.rw, nil
}
fieldIDs := []FieldID{common.RowIDField, common.TimeStampField} // Not used.
fields := []arrow.Field{
{
Name: "pk",
Type: serdeMap[dsw.pkType].arrowType(0, schemapb.DataType_None),
Nullable: false,
},
{
Name: "ts",
Type: arrow.PrimitiveTypes.Int64,
Nullable: false,
},
}
rw, err := newMultiFieldRecordWriter(fieldIDs, fields, &dsw.buf)
if err != nil {
return nil, err
}
dsw.rw = rw
return rw, nil
}
func (dsw *MultiFieldDeltalogStreamWriter) Finalize() (*Blob, error) {
if dsw.rw == nil {
return nil, io.ErrUnexpectedEOF
}
dsw.rw.Close()
var b bytes.Buffer
if err := dsw.writeDeltalogHeaders(&b); err != nil {
return nil, err
}
if _, err := b.Write(dsw.buf.Bytes()); err != nil {
return nil, err
}
return &Blob{
Value: b.Bytes(),
RowNum: int64(dsw.rw.numRows),
MemorySize: int64(dsw.rw.writtenUncompressed),
}, nil
}
func (dsw *MultiFieldDeltalogStreamWriter) writeDeltalogHeaders(w io.Writer) error {
// Write magic number
if err := binary.Write(w, common.Endian, MagicNumber); err != nil {
return err
}
// Write descriptor
de := NewBaseDescriptorEvent(dsw.collectionID, dsw.partitionID, dsw.segmentID)
de.PayloadDataType = schemapb.DataType_Int64
de.descriptorEventData.AddExtra(originalSizeKey, strconv.Itoa(int(dsw.rw.writtenUncompressed)))
de.descriptorEventData.AddExtra(version, MultiField)
if err := de.Write(w); err != nil {
return err
}
// Write event header
eh := newEventHeader(DeleteEventType)
// Write event data
ev := newDeleteEventData()
ev.StartTimestamp = 1
ev.EndTimestamp = 1
eh.EventLength = int32(dsw.buf.Len()) + eh.GetMemoryUsageInBytes() + int32(binary.Size(ev))
// eh.NextPosition = eh.EventLength + w.Offset()
if err := eh.Write(w); err != nil {
return err
}
if err := ev.WriteEventData(w); err != nil {
return err
}
return nil
}
func newDeltalogMultiFieldWriter(eventWriter *MultiFieldDeltalogStreamWriter, batchSize int) (*SerializeWriterImpl[*DeleteLog], error) {
rw, err := eventWriter.GetRecordWriter()
if err != nil {
return nil, err
}
return NewSerializeRecordWriter[*DeleteLog](rw, func(v []*DeleteLog) (Record, error) {
fields := []arrow.Field{
{
Name: "pk",
Type: serdeMap[schemapb.DataType(v[0].PkType)].arrowType(0, schemapb.DataType_None),
Nullable: false,
},
{
Name: "ts",
Type: arrow.PrimitiveTypes.Int64,
Nullable: false,
},
}
arrowSchema := arrow.NewSchema(fields, nil)
builder := array.NewRecordBuilder(memory.DefaultAllocator, arrowSchema)
defer builder.Release()
pkType := schemapb.DataType(v[0].PkType)
switch pkType {
case schemapb.DataType_Int64:
pb := builder.Field(0).(*array.Int64Builder)
for _, vv := range v {
pk := vv.Pk.GetValue().(int64)
pb.Append(pk)
}
case schemapb.DataType_VarChar:
pb := builder.Field(0).(*array.StringBuilder)
for _, vv := range v {
pk := vv.Pk.GetValue().(string)
pb.Append(pk)
}
default:
return nil, fmt.Errorf("unexpected pk type %v", v[0].PkType)
}
for _, vv := range v {
builder.Field(1).(*array.Int64Builder).Append(int64(vv.Ts))
}
arr := []arrow.Array{builder.Field(0).NewArray(), builder.Field(1).NewArray()}
field2Col := map[FieldID]int{
common.RowIDField: 0,
common.TimeStampField: 1,
}
return NewSimpleArrowRecord(array.NewRecord(arrowSchema, arr, int64(len(v))), field2Col), nil
}, batchSize), nil
}
func newDeltalogMultiFieldReader(blobs []*Blob) (*DeserializeReaderImpl[*DeleteLog], error) {
reader, err := newSimpleArrowRecordReader(blobs)
if err != nil {
return nil, err
}
return NewDeserializeReader(reader, func(r Record, v []*DeleteLog) error {
rec, ok := r.(*simpleArrowRecord)
if !ok {
return errors.New("can not cast to simple arrow record")
}
fields := rec.r.Schema().Fields()
switch fields[0].Type.ID() {
case arrow.INT64:
arr := r.Column(0).(*array.Int64)
for j := 0; j < r.Len(); j++ {
if v[j] == nil {
v[j] = &DeleteLog{}
}
v[j].Pk = NewInt64PrimaryKey(arr.Value(j))
}
case arrow.STRING:
arr := r.Column(0).(*array.String)
for j := 0; j < r.Len(); j++ {
if v[j] == nil {
v[j] = &DeleteLog{}
}
v[j].Pk = NewVarCharPrimaryKey(arr.Value(j))
}
default:
return fmt.Errorf("unexpected delta log pkType %v", fields[0].Type.Name())
}
arr := r.Column(1).(*array.Int64)
for j := 0; j < r.Len(); j++ {
v[j].Ts = uint64(arr.Value(j))
}
return nil
}), nil
}
// newDeltalogDeserializeReader is the entry point for the delta log reader.
// It includes newDeltalogOneFieldReader, which uses the existing log format with only one column in a log file,
// and newDeltalogMultiFieldReader, which uses the new format and supports multiple fields in a log file.
func newDeltalogDeserializeReader(blobs []*Blob) (*DeserializeReaderImpl[*DeleteLog], error) {
if supportMultiFieldFormat(blobs) {
return newDeltalogMultiFieldReader(blobs)
}
return newDeltalogOneFieldReader(blobs)
}
// supportMultiFieldFormat checks delta log description data to see if it is the format with
// pk and ts column separately
func supportMultiFieldFormat(blobs []*Blob) bool {
if len(blobs) > 0 {
reader, err := NewBinlogReader(blobs[0].Value)
if err != nil {
return false
}
defer reader.Close()
version := reader.descriptorEventData.Extras[version]
return version != nil && version.(string) == MultiField
}
return false
}
// CreateDeltalogReader creates a deltalog reader based on the format version
func CreateDeltalogReader(blobs []*Blob) (*DeserializeReaderImpl[*DeleteLog], error) {
return newDeltalogDeserializeReader(blobs)
}
// createDeltalogWriter creates a deltalog writer based on the configured format
func createDeltalogWriter(collectionID, partitionID, segmentID UniqueID, pkType schemapb.DataType, batchSize int,
) (*SerializeWriterImpl[*DeleteLog], func() (*Blob, error), error) {
format := paramtable.Get().DataNodeCfg.DeltalogFormat.GetValue()
switch format {
case "json":
eventWriter := newDeltalogStreamWriter(collectionID, partitionID, segmentID)
writer, err := newDeltalogSerializeWriter(eventWriter, batchSize)
return writer, eventWriter.Finalize, err
case "parquet":
eventWriter := newMultiFieldDeltalogStreamWriter(collectionID, partitionID, segmentID, pkType)
writer, err := newDeltalogMultiFieldWriter(eventWriter, batchSize)
return writer, eventWriter.Finalize, err
default:
return nil, nil, merr.WrapErrParameterInvalid("unsupported deltalog format %s", format)
}
}
type LegacyDeltalogWriter struct {
path string
pkType schemapb.DataType
writer *SerializeWriterImpl[*DeleteLog]
finalizer func() (*Blob, error)
writtenUncompressed uint64
uploader uploaderFn
}
var _ RecordWriter = (*LegacyDeltalogWriter)(nil)
func NewLegacyDeltalogWriter(
collectionID, partitionID, segmentID, logID UniqueID, pkType schemapb.DataType, uploader uploaderFn, path string,
) (*LegacyDeltalogWriter, error) {
writer, finalizer, err := createDeltalogWriter(collectionID, partitionID, segmentID, pkType, 4096)
if err != nil {
return nil, err
}
return &LegacyDeltalogWriter{
path: path,
pkType: pkType,
writer: writer,
finalizer: finalizer,
uploader: uploader,
}, nil
}
func (w *LegacyDeltalogWriter) Write(rec Record) error {
newDeleteLog := func(i int) (*DeleteLog, error) {
ts := Timestamp(rec.Column(1).(*array.Int64).Value(i))
switch w.pkType {
case schemapb.DataType_Int64:
pk := NewInt64PrimaryKey(rec.Column(0).(*array.Int64).Value(i))
return NewDeleteLog(pk, ts), nil
case schemapb.DataType_VarChar:
pk := NewVarCharPrimaryKey(rec.Column(0).(*array.String).Value(i))
return NewDeleteLog(pk, ts), nil
default:
return nil, fmt.Errorf("unexpected pk type %v", w.pkType)
}
}
for i := range rec.Len() {
deleteLog, err := newDeleteLog(i)
if err != nil {
return err
}
err = w.writer.WriteValue(deleteLog)
if err != nil {
return err
}
}
w.writtenUncompressed += (rec.Column(0).Data().SizeInBytes() + rec.Column(1).Data().SizeInBytes())
return nil
}
func (w *LegacyDeltalogWriter) Close() error {
err := w.writer.Close()
if err != nil {
return err
}
blob, err := w.finalizer()
if err != nil {
return err
}
return w.uploader(context.Background(), map[string][]byte{blob.Key: blob.Value})
}
func (w *LegacyDeltalogWriter) GetWrittenUncompressed() uint64 {
return w.writtenUncompressed
}
func NewLegacyDeltalogReader(pkField *schemapb.FieldSchema, downloader downloaderFn, paths []string) (RecordReader, error) {
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
pkField,
{
FieldID: common.TimeStampField,
DataType: schemapb.DataType_Int64,
},
},
}
chunkPos := 0
blobsReader := func() ([]*Blob, error) {
path := paths[chunkPos]
chunkPos++
blobs, err := downloader(context.Background(), []string{path})
if err != nil {
return nil, err
}
return []*Blob{{Key: path, Value: blobs[0]}}, nil
}
return newIterativeCompositeBinlogRecordReader(
schema,
nil,
blobsReader,
nil,
), nil
}