milvus/internal/storage/schema.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

84 lines
2.6 KiB
Go

package storage
import (
"fmt"
"strconv"
"github.com/apache/arrow/go/v17/arrow"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/storagev2/packed"
"github.com/milvus-io/milvus/pkg/v2/util/merr"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
func ConvertToArrowSchema(schema *schemapb.CollectionSchema, useFieldID bool) (*arrow.Schema, error) {
fieldCount := typeutil.GetTotalFieldsNum(schema)
arrowFields := make([]arrow.Field, 0, fieldCount)
appendArrowField := func(field *schemapb.FieldSchema) error {
if serdeMap[field.DataType].arrowType == nil {
return merr.WrapErrParameterInvalidMsg("unknown field data type [%s] for field [%s]", field.DataType, field.GetName())
}
var dim int
switch field.DataType {
case schemapb.DataType_BinaryVector, schemapb.DataType_Float16Vector, schemapb.DataType_BFloat16Vector,
schemapb.DataType_Int8Vector, schemapb.DataType_FloatVector, schemapb.DataType_ArrayOfVector:
var err error
dim, err = GetDimFromParams(field.TypeParams)
if err != nil {
return merr.WrapErrParameterInvalidMsg("dim not found in field [%s] params", field.GetName())
}
default:
dim = 0
}
elementType := schemapb.DataType_None
if field.DataType == schemapb.DataType_ArrayOfVector {
elementType = field.GetElementType()
}
arrowType := serdeMap[field.DataType].arrowType(dim, elementType)
arrowField := ConvertToArrowField(field, arrowType, useFieldID)
// Add extra metadata for ArrayOfVector
if field.DataType == schemapb.DataType_ArrayOfVector {
arrowField.Metadata = arrow.NewMetadata(
[]string{packed.ArrowFieldIdMetadataKey, "elementType", "dim"},
[]string{strconv.Itoa(int(field.GetFieldID())), strconv.Itoa(int(elementType)), strconv.Itoa(dim)},
)
}
arrowFields = append(arrowFields, arrowField)
return nil
}
for _, field := range schema.GetFields() {
if err := appendArrowField(field); err != nil {
return nil, err
}
}
for _, structField := range schema.GetStructArrayFields() {
for _, field := range structField.GetFields() {
if err := appendArrowField(field); err != nil {
return nil, err
}
}
}
return arrow.NewSchema(arrowFields, nil), nil
}
func ConvertToArrowField(field *schemapb.FieldSchema, dataType arrow.DataType, useFieldID bool) arrow.Field {
f := arrow.Field{
Type: dataType,
Metadata: arrow.NewMetadata([]string{packed.ArrowFieldIdMetadataKey}, []string{strconv.Itoa(int(field.GetFieldID()))}),
Nullable: field.GetNullable(),
}
if useFieldID { // use fieldID as name when specified
f.Name = fmt.Sprintf("%d", field.GetFieldID())
} else {
f.Name = field.GetName()
}
return f
}