milvus/client/entity/field.go
cai.zhang 19346fa389
feat: Geospatial Data Type and GIS Function support for milvus (#44547)
issue: #43427

This pr's main goal is merge #37417 to milvus 2.5 without conflicts.

# Main Goals

1. Create and describe collections with geospatial type
2. Insert geospatial data into the insert binlog
3. Load segments containing geospatial data into memory
4. Enable query and search can display  geospatial data
5. Support using GIS funtions like ST_EQUALS in query
6. Support R-Tree index for geometry type

# Solution

1. **Add Type**: Modify the Milvus core by adding a Geospatial type in
both the C++ and Go code layers, defining the Geospatial data structure
and the corresponding interfaces.
2. **Dependency Libraries**: Introduce necessary geospatial data
processing libraries. In the C++ source code, use Conan package
management to include the GDAL library. In the Go source code, add the
go-geom library to the go.mod file.
3. **Protocol Interface**: Revise the Milvus protocol to provide
mechanisms for Geospatial message serialization and deserialization.
4. **Data Pipeline**: Facilitate interaction between the client and
proxy using the WKT format for geospatial data. The proxy will convert
all data into WKB format for downstream processing, providing column
data interfaces, segment encapsulation, segment loading, payload
writing, and cache block management.
5. **Query Operators**: Implement simple display and support for filter
queries. Initially, focus on filtering based on spatial relationships
for a single column of geospatial literal values, providing parsing and
execution for query expressions.Now only support brutal search
7. **Client Modification**: Enable the client to handle user input for
geospatial data and facilitate end-to-end testing.Check the modification
in pymilvus.

---------

Signed-off-by: Yinwei Li <yinwei.li@zilliz.com>
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Co-authored-by: ZhuXi <150327960+Yinwei-Yu@users.noreply.github.com>
2025-09-28 19:43:05 +08:00

462 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 entity
import (
"encoding/json"
"strconv"
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
// FieldType field data type alias type
// used in go:generate trick, DO NOT modify names & string
type FieldType int32
// Name returns field type name
func (t FieldType) Name() string {
switch t {
case FieldTypeBool:
return "Bool"
case FieldTypeInt8:
return "Int8"
case FieldTypeInt16:
return "Int16"
case FieldTypeInt32:
return "Int32"
case FieldTypeInt64:
return "Int64"
case FieldTypeFloat:
return "Float"
case FieldTypeDouble:
return "Double"
case FieldTypeTimestamptz:
return "Timestamptz"
case FieldTypeString:
return "String"
case FieldTypeVarChar:
return "VarChar"
case FieldTypeArray:
return "Array"
case FieldTypeJSON:
return "JSON"
case FieldTypeGeometry:
return "Geometry"
case FieldTypeBinaryVector:
return "BinaryVector"
case FieldTypeFloatVector:
return "FloatVector"
case FieldTypeFloat16Vector:
return "Float16Vector"
case FieldTypeBFloat16Vector:
return "BFloat16Vector"
case FieldTypeInt8Vector:
return "Int8Vector"
default:
return "undefined"
}
}
// String returns field type
func (t FieldType) String() string {
switch t {
case FieldTypeBool:
return "bool"
case FieldTypeInt8:
return "int8"
case FieldTypeInt16:
return "int16"
case FieldTypeInt32:
return "int32"
case FieldTypeInt64:
return "int64"
case FieldTypeFloat:
return "float32"
case FieldTypeDouble:
return "float64"
case FieldTypeTimestamptz:
return "timestamptz"
case FieldTypeString:
return "string"
case FieldTypeVarChar:
return "string"
case FieldTypeArray:
return "Array"
case FieldTypeJSON:
return "JSON"
case FieldTypeGeometry:
return "Geometry"
case FieldTypeBinaryVector:
return "[]byte"
case FieldTypeFloatVector:
return "[]float32"
case FieldTypeFloat16Vector:
return "[]byte"
case FieldTypeBFloat16Vector:
return "[]byte"
case FieldTypeInt8Vector:
return "[]int8"
default:
return "undefined"
}
}
// PbFieldType represents FieldType corresponding schema pb type
func (t FieldType) PbFieldType() (string, string) {
switch t {
case FieldTypeBool:
return "Bool", "bool"
case FieldTypeInt8:
fallthrough
case FieldTypeInt16:
fallthrough
case FieldTypeInt32:
return "Int", "int32"
case FieldTypeInt64:
return "Long", "int64"
case FieldTypeFloat:
return "Float", "float32"
case FieldTypeDouble:
return "Double", "float64"
case FieldTypeTimestamptz:
return "Timestamptz", "int64" // Timestamptz
case FieldTypeString:
return "String", "string"
case FieldTypeVarChar:
return "VarChar", "string"
case FieldTypeJSON:
return "JSON", "JSON"
case FieldTypeGeometry:
return "Geometry", "Geometry"
case FieldTypeBinaryVector:
return "[]byte", ""
case FieldTypeFloatVector:
return "[]float32", ""
case FieldTypeFloat16Vector:
return "[]byte", ""
case FieldTypeBFloat16Vector:
return "[]byte", ""
case FieldTypeInt8Vector:
return "[]int8", ""
default:
return "undefined", ""
}
}
// Match schema definition
const (
// FieldTypeNone zero value place holder
FieldTypeNone FieldType = 0 // zero value place holder
// FieldTypeBool field type boolean
FieldTypeBool FieldType = 1
// FieldTypeInt8 field type int8
FieldTypeInt8 FieldType = 2
// FieldTypeInt16 field type int16
FieldTypeInt16 FieldType = 3
// FieldTypeInt32 field type int32
FieldTypeInt32 FieldType = 4
// FieldTypeInt64 field type int64
FieldTypeInt64 FieldType = 5
// FieldTypeFloat field type float
FieldTypeFloat FieldType = 10
// FieldTypeDouble field type double
FieldTypeDouble FieldType = 11
// FieldTypeTimestamptz field type timestamptz
FieldTypeTimestamptz FieldType = 15
// FieldTypeString field type string
FieldTypeString FieldType = 20
// FieldTypeVarChar field type varchar
FieldTypeVarChar FieldType = 21 // variable-length strings with a specified maximum length
// FieldTypeArray field type Array
FieldTypeArray FieldType = 22
// FieldTypeJSON field type JSON
FieldTypeJSON FieldType = 23
// FieldTypeGeometry field type Geometry
FieldTypeGeometry FieldType = 24
// FieldTypeBinaryVector field type binary vector
FieldTypeBinaryVector FieldType = 100
// FieldTypeFloatVector field type float vector
FieldTypeFloatVector FieldType = 101
// FieldTypeBinaryVector field type float16 vector
FieldTypeFloat16Vector FieldType = 102
// FieldTypeBinaryVector field type bf16 vector
FieldTypeBFloat16Vector FieldType = 103
// FieldTypeBinaryVector field type sparse vector
FieldTypeSparseVector FieldType = 104
// FieldTypeInt8Vector field type int8 vector
FieldTypeInt8Vector FieldType = 105
)
// Field represent field schema in milvus
type Field struct {
ID int64 // field id, generated when collection is created, input value is ignored
Name string // field name
PrimaryKey bool // is primary key
AutoID bool // is auto id
Description string
DataType FieldType
TypeParams map[string]string
IndexParams map[string]string
IsDynamic bool
IsPartitionKey bool
IsClusteringKey bool
ElementType FieldType
DefaultValue *schemapb.ValueField
Nullable bool
}
// ProtoMessage generates corresponding FieldSchema
func (f *Field) ProtoMessage() *schemapb.FieldSchema {
return &schemapb.FieldSchema{
FieldID: f.ID,
Name: f.Name,
Description: f.Description,
IsPrimaryKey: f.PrimaryKey,
AutoID: f.AutoID,
DataType: schemapb.DataType(f.DataType),
TypeParams: MapKvPairs(f.TypeParams),
IndexParams: MapKvPairs(f.IndexParams),
IsDynamic: f.IsDynamic,
IsPartitionKey: f.IsPartitionKey,
IsClusteringKey: f.IsClusteringKey,
ElementType: schemapb.DataType(f.ElementType),
Nullable: f.Nullable,
DefaultValue: f.DefaultValue,
}
}
// NewField creates a new Field with map initialized.
func NewField() *Field {
return &Field{
TypeParams: make(map[string]string),
IndexParams: make(map[string]string),
}
}
func (f *Field) WithName(name string) *Field {
f.Name = name
return f
}
func (f *Field) WithDescription(desc string) *Field {
f.Description = desc
return f
}
func (f *Field) WithDataType(dataType FieldType) *Field {
f.DataType = dataType
return f
}
func (f *Field) WithIsPrimaryKey(isPrimaryKey bool) *Field {
f.PrimaryKey = isPrimaryKey
return f
}
func (f *Field) WithIsAutoID(isAutoID bool) *Field {
f.AutoID = isAutoID
return f
}
func (f *Field) WithIsDynamic(isDynamic bool) *Field {
f.IsDynamic = isDynamic
return f
}
func (f *Field) WithIsPartitionKey(isPartitionKey bool) *Field {
f.IsPartitionKey = isPartitionKey
return f
}
func (f *Field) WithIsClusteringKey(isClusteringKey bool) *Field {
f.IsClusteringKey = isClusteringKey
return f
}
func (f *Field) WithNullable(nullable bool) *Field {
f.Nullable = nullable
return f
}
func (f *Field) WithDefaultValueBool(defaultValue bool) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_BoolData{
BoolData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueInt(defaultValue int32) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_IntData{
IntData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueLong(defaultValue int64) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_LongData{
LongData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueFloat(defaultValue float32) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_FloatData{
FloatData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueDouble(defaultValue float64) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_DoubleData{
DoubleData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueTimestamptz(defaultValue int64) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_TimestamptzData{
TimestamptzData: defaultValue,
},
}
return f
}
func (f *Field) WithDefaultValueString(defaultValue string) *Field {
f.DefaultValue = &schemapb.ValueField{
Data: &schemapb.ValueField_StringData{
StringData: defaultValue,
},
}
return f
}
func (f *Field) WithTypeParams(key string, value string) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams[key] = value
return f
}
func (f *Field) WithDim(dim int64) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams[TypeParamDim] = strconv.FormatInt(dim, 10)
return f
}
func (f *Field) GetDim() (int64, error) {
dimStr, has := f.TypeParams[TypeParamDim]
if !has {
return -1, errors.New("field with no dim")
}
dim, err := strconv.ParseInt(dimStr, 10, 64)
if err != nil {
return -1, errors.Newf("field with bad format dim: %s", err.Error())
}
return dim, nil
}
func (f *Field) WithMaxLength(maxLen int64) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams[TypeParamMaxLength] = strconv.FormatInt(maxLen, 10)
return f
}
func (f *Field) WithElementType(eleType FieldType) *Field {
f.ElementType = eleType
return f
}
func (f *Field) WithMaxCapacity(maxCap int64) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams[TypeParamMaxCapacity] = strconv.FormatInt(maxCap, 10)
return f
}
func (f *Field) WithEnableAnalyzer(enable bool) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams["enable_analyzer"] = strconv.FormatBool(enable)
return f
}
func (f *Field) WithAnalyzerParams(params map[string]any) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
bs, _ := json.Marshal(params)
f.TypeParams["analyzer_params"] = string(bs)
return f
}
func (f *Field) WithMultiAnalyzerParams(params map[string]any) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
bs, _ := json.Marshal(params)
f.TypeParams["multi_analyzer_params"] = string(bs)
return f
}
func (f *Field) WithEnableMatch(enable bool) *Field {
if f.TypeParams == nil {
f.TypeParams = make(map[string]string)
}
f.TypeParams[TypeParamEnableMatch] = strconv.FormatBool(enable)
return f
}
// ReadProto parses FieldSchema
func (f *Field) ReadProto(p *schemapb.FieldSchema) *Field {
f.ID = p.GetFieldID()
f.Name = p.GetName()
f.PrimaryKey = p.GetIsPrimaryKey()
f.AutoID = p.GetAutoID()
f.Description = p.GetDescription()
f.DataType = FieldType(p.GetDataType())
f.TypeParams = KvPairsMap(p.GetTypeParams())
f.IndexParams = KvPairsMap(p.GetIndexParams())
f.IsDynamic = p.GetIsDynamic()
f.IsPartitionKey = p.GetIsPartitionKey()
f.IsClusteringKey = p.GetIsClusteringKey()
f.ElementType = FieldType(p.GetElementType())
f.DefaultValue = p.GetDefaultValue()
f.Nullable = p.GetNullable()
return f
}