milvus/internal/storage/arrow_util.go
marcelo-cjl 3b599441fd
feat: Add nullable vector support for proxy and querynode (#46305)
related: #45993 

This commit extends nullable vector support to the proxy layer,
querynode,
and adds comprehensive validation, search reduce, and field data
handling
    for nullable vectors with sparse storage.
    
    Proxy layer changes:
- Update validate_util.go checkAligned() with getExpectedVectorRows()
helper
      to validate nullable vector field alignment using valid data count
- Update checkFloatVectorFieldData/checkSparseFloatVectorFieldData for
      nullable vector validation with proper row count expectations
- Add FieldDataIdxComputer in typeutil/schema.go for logical-to-physical
      index translation during search reduce operations
- Update search_reduce_util.go reduceSearchResultData to use
idxComputers
      for correct field data indexing with nullable vectors
- Update task.go, task_query.go, task_upsert.go for nullable vector
handling
    - Update msg_pack.go with nullable vector field data processing
    
    QueryNode layer changes:
    - Update segments/result.go for nullable vector result handling
- Update segments/search_reduce.go with nullable vector offset
translation
    
    Storage and index changes:
- Update data_codec.go and utils.go for nullable vector serialization
- Update indexcgowrapper/dataset.go and index.go for nullable vector
indexing
    
    Utility changes:
- Add FieldDataIdxComputer struct with Compute() method for efficient
      logical-to-physical index mapping across multiple field data
- Update EstimateEntitySize() and AppendFieldData() with fieldIdxs
parameter
    - Update funcutil.go with nullable vector support functions

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* Full support for nullable vector fields (float, binary, float16,
bfloat16, int8, sparse) across ingest, storage, indexing, search and
retrieval; logical↔physical offset mapping preserves row semantics.
  * Client: compaction control and compaction-state APIs.

* **Bug Fixes**
* Improved validation for adding vector fields (nullable + dimension
checks) and corrected search/query behavior for nullable vectors.

* **Chores**
  * Persisted validity maps with indexes and on-disk formats.

* **Tests**
  * Extensive new and updated end-to-end nullable-vector tests.

<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: marcelo-cjl <marcelo.chen@zilliz.com>
2025-12-24 10:13:19 +08:00

407 lines
12 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 (
"fmt"
"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/samber/lo"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/v2/util/merr"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
func appendValueAt(builder array.Builder, a arrow.Array, idx int, defaultValue *schemapb.ValueField) (uint64, error) {
// a could never be nil here
switch b := builder.(type) {
case *array.BooleanBuilder:
ba, ok := a.(*array.Boolean)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ba.IsNull(idx) {
if defaultValue != nil {
b.Append(defaultValue.GetBoolData())
return 1, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(ba.Value(idx))
return 1, nil
}
case *array.Int8Builder:
ia, ok := a.(*array.Int8)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ia.IsNull(idx) {
if defaultValue != nil {
b.Append(int8(defaultValue.GetIntData()))
return 1, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(ia.Value(idx))
return 1, nil
}
case *array.Int16Builder:
ia, ok := a.(*array.Int16)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ia.IsNull(idx) {
if defaultValue != nil {
b.Append(int16(defaultValue.GetIntData()))
return 2, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(ia.Value(idx))
return 2, nil
}
case *array.Int32Builder:
ia, ok := a.(*array.Int32)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ia.IsNull(idx) {
if defaultValue != nil {
b.Append(defaultValue.GetIntData())
return 4, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(ia.Value(idx))
return 4, nil
}
case *array.Int64Builder:
ia, ok := a.(*array.Int64)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ia.IsNull(idx) {
if defaultValue != nil {
b.Append(defaultValue.GetLongData())
return 8, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(ia.Value(idx))
return 8, nil
}
case *array.Float32Builder:
fa, ok := a.(*array.Float32)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if fa.IsNull(idx) {
if defaultValue != nil {
b.Append(defaultValue.GetFloatData())
return 4, nil
}
b.AppendNull()
return 0, nil
} else {
b.Append(fa.Value(idx))
return 4, nil
}
case *array.Float64Builder:
if a == nil {
if defaultValue != nil {
b.Append(defaultValue.GetDoubleData())
return 8, nil
} else {
b.AppendNull()
return 0, nil
}
}
fa, ok := a.(*array.Float64)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if fa.IsNull(idx) {
b.AppendNull()
return 0, nil
} else {
b.Append(fa.Value(idx))
return 8, nil
}
case *array.StringBuilder:
sa, ok := a.(*array.String)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if sa.IsNull(idx) {
if defaultValue != nil {
val := defaultValue.GetStringData()
b.Append(val)
return uint64(len(val)), nil
}
b.AppendNull()
return 0, nil
} else {
val := sa.Value(idx)
b.Append(val)
return uint64(len(val)), nil
}
case *array.BinaryBuilder:
ba, ok := a.(*array.Binary)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ba.IsNull(idx) {
// could be internal $meta json
if defaultValue != nil {
val := defaultValue.GetBytesData()
b.Append(val)
return uint64(len(val)), nil
}
b.AppendNull()
return 0, nil
} else {
val := ba.Value(idx)
b.Append(val)
return uint64(len(val)), nil
}
case *array.FixedSizeBinaryBuilder:
ba, ok := a.(*array.FixedSizeBinary)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if ba.IsNull(idx) {
b.AppendNull()
return 0, nil
} else {
val := ba.Value(idx)
b.Append(val)
return uint64(len(val)), nil
}
case *array.ListBuilder:
// Handle ListBuilder for ArrayOfVector type
la, ok := a.(*array.List)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", a.DataType(), builder.Type())
}
if la.IsNull(idx) {
b.AppendNull()
return 0, nil
}
start, end := la.ValueOffsets(idx)
b.Append(true)
valuesArray := la.ListValues()
var totalSize uint64 = 0
valueBuilder := b.ValueBuilder()
switch vb := valueBuilder.(type) {
case *array.FixedSizeBinaryBuilder:
fixedArray, ok := valuesArray.(*array.FixedSizeBinary)
if !ok {
return 0, fmt.Errorf("invalid value type %T, expect %T", valuesArray.DataType(), vb.Type())
}
for i := start; i < end; i++ {
val := fixedArray.Value(int(i))
vb.Append(val)
totalSize += uint64(len(val))
}
default:
return 0, fmt.Errorf("unsupported value builder type in ListBuilder: %T", valueBuilder)
}
return totalSize, nil
default:
return 0, fmt.Errorf("unsupported builder type: %T", builder)
}
}
// GenerateEmptyArrayFromSchema generate empty array from schema
// If schema has default value, the array will bef filled with it.
// Otherwise, null will be used instead.
// If input schema is not nullable, an error will be returned.
func GenerateEmptyArrayFromSchema(schema *schemapb.FieldSchema, numRows int) (arrow.Array, error) {
// if not nullable, return error
if !schema.GetNullable() {
return nil, merr.WrapErrServiceInternal(fmt.Sprintf("missing field data %s", schema.Name))
}
dim, _ := typeutil.GetDim(schema)
elementType := schemapb.DataType_None
if schema.GetDataType() == schemapb.DataType_ArrayOfVector {
elementType = schema.GetElementType()
}
builder := array.NewBuilder(memory.DefaultAllocator, serdeMap[schema.GetDataType()].arrowType(int(dim), elementType)) // serdeEntry[schema.GetDataType()].newBuilder()
if schema.GetDefaultValue() != nil {
switch schema.GetDataType() {
case schemapb.DataType_Bool:
bd := builder.(*array.BooleanBuilder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) bool { return schema.GetDefaultValue().GetBoolData() }),
nil)
case schemapb.DataType_Int8:
bd := builder.(*array.Int8Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) int8 { return int8(schema.GetDefaultValue().GetIntData()) }),
nil)
case schemapb.DataType_Int16:
bd := builder.(*array.Int16Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) int16 { return int16(schema.GetDefaultValue().GetIntData()) }),
nil)
case schemapb.DataType_Int32:
bd := builder.(*array.Int32Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) int32 { return schema.GetDefaultValue().GetIntData() }),
nil)
case schemapb.DataType_Int64:
bd := builder.(*array.Int64Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) int64 { return schema.GetDefaultValue().GetLongData() }),
nil)
case schemapb.DataType_Float:
bd := builder.(*array.Float32Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) float32 { return schema.GetDefaultValue().GetFloatData() }),
nil)
case schemapb.DataType_Double:
bd := builder.(*array.Float64Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) float64 { return schema.GetDefaultValue().GetDoubleData() }),
nil)
case schemapb.DataType_Timestamptz:
bd := builder.(*array.Int64Builder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) int64 { return schema.GetDefaultValue().GetTimestamptzData() }),
nil)
case schemapb.DataType_VarChar, schemapb.DataType_String:
bd := builder.(*array.StringBuilder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) string { return schema.GetDefaultValue().GetStringData() }),
nil)
case schemapb.DataType_JSON:
bd := builder.(*array.BinaryBuilder)
bd.AppendValues(
lo.RepeatBy(numRows, func(_ int) []byte { return schema.GetDefaultValue().GetBytesData() }),
nil)
default:
return nil, merr.WrapErrServiceInternal(fmt.Sprintf("Unexpected default value type: %s", schema.GetDataType().String()))
}
} else {
builder.AppendNulls(numRows)
}
return builder.NewArray(), nil
}
// RecordBuilder is a helper to build arrow record.
// Due to current arrow impl (v12), the write performance is largely dependent on the batch size,
// small batch size will cause write performance degradation. To work around this issue, we accumulate
// records and write them in batches. This requires additional memory copy.
type RecordBuilder struct {
fields []*schemapb.FieldSchema
builders []array.Builder
nRows int
size uint64
}
func (b *RecordBuilder) Append(rec Record, start, end int) error {
for offset := start; offset < end; offset++ {
for i, builder := range b.builders {
f := b.fields[i]
col := rec.Column(f.FieldID)
size, err := appendValueAt(builder, col, offset, f.GetDefaultValue())
if err != nil {
return fmt.Errorf("failed to append value at offset %d for field %s: %w", offset, f.GetName(), err)
}
b.size += size
}
}
b.nRows += (end - start)
return nil
}
func (b *RecordBuilder) GetRowNum() int {
return b.nRows
}
func (b *RecordBuilder) GetSize() uint64 {
return b.size
}
func (b *RecordBuilder) Build() Record {
arrays := make([]arrow.Array, len(b.builders))
fields := make([]arrow.Field, len(b.builders))
field2Col := make(map[FieldID]int, len(b.builders))
for c, builder := range b.builders {
arrays[c] = builder.NewArray()
f := b.fields[c]
fid := f.FieldID
fields[c] = arrow.Field{
Name: f.GetName(),
Type: arrays[c].DataType(),
Nullable: f.Nullable,
}
field2Col[fid] = c
}
rec := NewSimpleArrowRecord(array.NewRecord(arrow.NewSchema(fields, nil), arrays, int64(b.nRows)), field2Col)
b.nRows = 0
b.size = 0
return rec
}
func NewRecordBuilder(schema *schemapb.CollectionSchema) *RecordBuilder {
// assumes 5 sub fields per StructArrayField
fields := make([]*schemapb.FieldSchema, 0, len(schema.Fields)+len(schema.StructArrayFields)*5)
fields = append(fields, schema.Fields...)
for _, sf := range schema.StructArrayFields {
fields = append(fields, sf.Fields...)
}
builders := make([]array.Builder, len(fields))
for i, field := range fields {
dim, _ := typeutil.GetDim(field)
elementType := schemapb.DataType_None
if field.DataType == schemapb.DataType_ArrayOfVector {
elementType = field.GetElementType()
}
if field.GetNullable() && typeutil.IsVectorType(field.DataType) && !typeutil.IsSparseFloatVectorType(field.DataType) {
builders[i] = array.NewBinaryBuilder(memory.DefaultAllocator, arrow.BinaryTypes.Binary)
} else {
arrowType := serdeMap[field.DataType].arrowType(int(dim), elementType)
builders[i] = array.NewBuilder(memory.DefaultAllocator, arrowType)
}
}
return &RecordBuilder{
fields: fields,
builders: builders,
}
}