mirror of
https://gitee.com/milvus-io/milvus.git
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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>
462 lines
12 KiB
Go
462 lines
12 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package entity
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import (
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"encoding/json"
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"strconv"
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"github.com/cockroachdb/errors"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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// FieldType field data type alias type
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// used in go:generate trick, DO NOT modify names & string
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type FieldType int32
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// Name returns field type name
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func (t FieldType) Name() string {
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switch t {
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case FieldTypeBool:
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return "Bool"
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case FieldTypeInt8:
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return "Int8"
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case FieldTypeInt16:
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return "Int16"
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case FieldTypeInt32:
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return "Int32"
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case FieldTypeInt64:
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return "Int64"
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case FieldTypeFloat:
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return "Float"
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case FieldTypeDouble:
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return "Double"
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case FieldTypeTimestamptz:
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return "Timestamptz"
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case FieldTypeString:
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return "String"
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case FieldTypeVarChar:
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return "VarChar"
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case FieldTypeArray:
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return "Array"
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case FieldTypeJSON:
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return "JSON"
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case FieldTypeGeometry:
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return "Geometry"
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case FieldTypeBinaryVector:
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return "BinaryVector"
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case FieldTypeFloatVector:
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return "FloatVector"
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case FieldTypeFloat16Vector:
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return "Float16Vector"
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case FieldTypeBFloat16Vector:
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return "BFloat16Vector"
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case FieldTypeInt8Vector:
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return "Int8Vector"
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default:
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return "undefined"
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}
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}
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// String returns field type
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func (t FieldType) String() string {
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switch t {
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case FieldTypeBool:
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return "bool"
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case FieldTypeInt8:
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return "int8"
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case FieldTypeInt16:
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return "int16"
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case FieldTypeInt32:
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return "int32"
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case FieldTypeInt64:
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return "int64"
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case FieldTypeFloat:
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return "float32"
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case FieldTypeDouble:
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return "float64"
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case FieldTypeTimestamptz:
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return "timestamptz"
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case FieldTypeString:
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return "string"
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case FieldTypeVarChar:
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return "string"
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case FieldTypeArray:
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return "Array"
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case FieldTypeJSON:
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return "JSON"
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case FieldTypeGeometry:
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return "Geometry"
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case FieldTypeBinaryVector:
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return "[]byte"
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case FieldTypeFloatVector:
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return "[]float32"
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case FieldTypeFloat16Vector:
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return "[]byte"
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case FieldTypeBFloat16Vector:
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return "[]byte"
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case FieldTypeInt8Vector:
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return "[]int8"
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default:
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return "undefined"
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}
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}
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// PbFieldType represents FieldType corresponding schema pb type
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func (t FieldType) PbFieldType() (string, string) {
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switch t {
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case FieldTypeBool:
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return "Bool", "bool"
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case FieldTypeInt8:
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fallthrough
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case FieldTypeInt16:
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fallthrough
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case FieldTypeInt32:
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return "Int", "int32"
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case FieldTypeInt64:
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return "Long", "int64"
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case FieldTypeFloat:
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return "Float", "float32"
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case FieldTypeDouble:
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return "Double", "float64"
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case FieldTypeTimestamptz:
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return "Timestamptz", "int64" // Timestamptz
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case FieldTypeString:
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return "String", "string"
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case FieldTypeVarChar:
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return "VarChar", "string"
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case FieldTypeJSON:
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return "JSON", "JSON"
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case FieldTypeGeometry:
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return "Geometry", "Geometry"
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case FieldTypeBinaryVector:
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return "[]byte", ""
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case FieldTypeFloatVector:
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return "[]float32", ""
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case FieldTypeFloat16Vector:
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return "[]byte", ""
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case FieldTypeBFloat16Vector:
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return "[]byte", ""
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case FieldTypeInt8Vector:
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return "[]int8", ""
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default:
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return "undefined", ""
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}
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}
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// Match schema definition
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const (
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// FieldTypeNone zero value place holder
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FieldTypeNone FieldType = 0 // zero value place holder
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// FieldTypeBool field type boolean
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FieldTypeBool FieldType = 1
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// FieldTypeInt8 field type int8
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FieldTypeInt8 FieldType = 2
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// FieldTypeInt16 field type int16
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FieldTypeInt16 FieldType = 3
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// FieldTypeInt32 field type int32
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FieldTypeInt32 FieldType = 4
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// FieldTypeInt64 field type int64
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FieldTypeInt64 FieldType = 5
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// FieldTypeFloat field type float
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FieldTypeFloat FieldType = 10
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// FieldTypeDouble field type double
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FieldTypeDouble FieldType = 11
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// FieldTypeTimestamptz field type timestamptz
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FieldTypeTimestamptz FieldType = 15
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// FieldTypeString field type string
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FieldTypeString FieldType = 20
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// FieldTypeVarChar field type varchar
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FieldTypeVarChar FieldType = 21 // variable-length strings with a specified maximum length
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// FieldTypeArray field type Array
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FieldTypeArray FieldType = 22
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// FieldTypeJSON field type JSON
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FieldTypeJSON FieldType = 23
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// FieldTypeGeometry field type Geometry
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FieldTypeGeometry FieldType = 24
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// FieldTypeBinaryVector field type binary vector
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FieldTypeBinaryVector FieldType = 100
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// FieldTypeFloatVector field type float vector
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FieldTypeFloatVector FieldType = 101
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// FieldTypeBinaryVector field type float16 vector
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FieldTypeFloat16Vector FieldType = 102
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// FieldTypeBinaryVector field type bf16 vector
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FieldTypeBFloat16Vector FieldType = 103
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// FieldTypeBinaryVector field type sparse vector
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FieldTypeSparseVector FieldType = 104
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// FieldTypeInt8Vector field type int8 vector
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FieldTypeInt8Vector FieldType = 105
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)
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// Field represent field schema in milvus
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type Field struct {
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ID int64 // field id, generated when collection is created, input value is ignored
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Name string // field name
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PrimaryKey bool // is primary key
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AutoID bool // is auto id
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Description string
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DataType FieldType
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TypeParams map[string]string
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IndexParams map[string]string
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IsDynamic bool
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IsPartitionKey bool
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IsClusteringKey bool
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ElementType FieldType
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DefaultValue *schemapb.ValueField
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Nullable bool
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}
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// ProtoMessage generates corresponding FieldSchema
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func (f *Field) ProtoMessage() *schemapb.FieldSchema {
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return &schemapb.FieldSchema{
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FieldID: f.ID,
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Name: f.Name,
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Description: f.Description,
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IsPrimaryKey: f.PrimaryKey,
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AutoID: f.AutoID,
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DataType: schemapb.DataType(f.DataType),
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TypeParams: MapKvPairs(f.TypeParams),
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IndexParams: MapKvPairs(f.IndexParams),
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IsDynamic: f.IsDynamic,
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IsPartitionKey: f.IsPartitionKey,
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IsClusteringKey: f.IsClusteringKey,
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ElementType: schemapb.DataType(f.ElementType),
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Nullable: f.Nullable,
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DefaultValue: f.DefaultValue,
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}
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}
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// NewField creates a new Field with map initialized.
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func NewField() *Field {
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return &Field{
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TypeParams: make(map[string]string),
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IndexParams: make(map[string]string),
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}
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}
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func (f *Field) WithName(name string) *Field {
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f.Name = name
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return f
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}
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func (f *Field) WithDescription(desc string) *Field {
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f.Description = desc
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return f
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}
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func (f *Field) WithDataType(dataType FieldType) *Field {
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f.DataType = dataType
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return f
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}
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func (f *Field) WithIsPrimaryKey(isPrimaryKey bool) *Field {
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f.PrimaryKey = isPrimaryKey
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return f
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}
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func (f *Field) WithIsAutoID(isAutoID bool) *Field {
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f.AutoID = isAutoID
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return f
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}
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func (f *Field) WithIsDynamic(isDynamic bool) *Field {
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f.IsDynamic = isDynamic
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return f
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}
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func (f *Field) WithIsPartitionKey(isPartitionKey bool) *Field {
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f.IsPartitionKey = isPartitionKey
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return f
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}
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func (f *Field) WithIsClusteringKey(isClusteringKey bool) *Field {
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f.IsClusteringKey = isClusteringKey
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return f
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}
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func (f *Field) WithNullable(nullable bool) *Field {
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f.Nullable = nullable
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return f
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}
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func (f *Field) WithDefaultValueBool(defaultValue bool) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_BoolData{
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BoolData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueInt(defaultValue int32) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_IntData{
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IntData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueLong(defaultValue int64) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_LongData{
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LongData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueFloat(defaultValue float32) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_FloatData{
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FloatData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueDouble(defaultValue float64) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_DoubleData{
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DoubleData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueTimestamptz(defaultValue int64) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_TimestamptzData{
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TimestamptzData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithDefaultValueString(defaultValue string) *Field {
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f.DefaultValue = &schemapb.ValueField{
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Data: &schemapb.ValueField_StringData{
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StringData: defaultValue,
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},
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}
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return f
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}
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func (f *Field) WithTypeParams(key string, value string) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams[key] = value
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return f
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}
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func (f *Field) WithDim(dim int64) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams[TypeParamDim] = strconv.FormatInt(dim, 10)
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return f
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}
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func (f *Field) GetDim() (int64, error) {
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dimStr, has := f.TypeParams[TypeParamDim]
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if !has {
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return -1, errors.New("field with no dim")
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}
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dim, err := strconv.ParseInt(dimStr, 10, 64)
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if err != nil {
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return -1, errors.Newf("field with bad format dim: %s", err.Error())
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}
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return dim, nil
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}
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func (f *Field) WithMaxLength(maxLen int64) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams[TypeParamMaxLength] = strconv.FormatInt(maxLen, 10)
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return f
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}
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func (f *Field) WithElementType(eleType FieldType) *Field {
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f.ElementType = eleType
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return f
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}
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func (f *Field) WithMaxCapacity(maxCap int64) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams[TypeParamMaxCapacity] = strconv.FormatInt(maxCap, 10)
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return f
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}
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func (f *Field) WithEnableAnalyzer(enable bool) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams["enable_analyzer"] = strconv.FormatBool(enable)
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return f
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}
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func (f *Field) WithAnalyzerParams(params map[string]any) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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bs, _ := json.Marshal(params)
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f.TypeParams["analyzer_params"] = string(bs)
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return f
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}
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func (f *Field) WithMultiAnalyzerParams(params map[string]any) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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bs, _ := json.Marshal(params)
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f.TypeParams["multi_analyzer_params"] = string(bs)
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return f
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}
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func (f *Field) WithEnableMatch(enable bool) *Field {
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if f.TypeParams == nil {
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f.TypeParams = make(map[string]string)
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}
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f.TypeParams[TypeParamEnableMatch] = strconv.FormatBool(enable)
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return f
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}
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// ReadProto parses FieldSchema
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func (f *Field) ReadProto(p *schemapb.FieldSchema) *Field {
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f.ID = p.GetFieldID()
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f.Name = p.GetName()
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f.PrimaryKey = p.GetIsPrimaryKey()
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f.AutoID = p.GetAutoID()
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f.Description = p.GetDescription()
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f.DataType = FieldType(p.GetDataType())
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f.TypeParams = KvPairsMap(p.GetTypeParams())
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f.IndexParams = KvPairsMap(p.GetIndexParams())
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f.IsDynamic = p.GetIsDynamic()
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f.IsPartitionKey = p.GetIsPartitionKey()
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f.IsClusteringKey = p.GetIsClusteringKey()
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f.ElementType = FieldType(p.GetElementType())
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f.DefaultValue = p.GetDefaultValue()
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f.Nullable = p.GetNullable()
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return f
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}
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