alterCollectionSchema()
This operation alters a collection schema by adding a function-backed output field. For vector function outputs, provide bound-index metadata with an explicit index_type; Milvus creates the bound index atomically with the schema change.
await milvusClient.alterCollectionSchema(data)
Request Syntax
await milvusClient.alterCollectionSchema({
collection_name: string,
field: FieldType,
function: FunctionObject,
index_name?: string,
extra_params?: Record<string, any>,
db_name?: string,
timeout?: number
})
PARAMETERS:
-
collection_name (string) -
[REQUIRED]
The name of the collection to alter.
-
field (FieldType) -
[REQUIRED]
The schema of the function output field to add.
-
function (FunctionObject) -
[REQUIRED]
The function schema to add.
-
index_name (string) -
The name of the bound index for the new field.
-
extra_params (Record<string, any>) -
Additional field metadata.
-
db_name (string) -
The name of the database where the collection resides.
-
timeout (number) -
The timeout duration in milliseconds for this operation.
RETURNS:
Promise<AlterCollectionSchemaResponse>
EXCEPTIONS:
-
MilvusError
This exception will be raised when any error occurs during this operation.
Example
import { MilvusClient, DataType, FunctionType } from '@zilliz/milvus2-sdk-node';
const milvusClient = new MilvusClient({
address: 'localhost:19530',
token: 'root:Milvus',
});
const res = await milvusClient.alterCollectionSchema({
collection_name: 'my_collection',
field: {
name: 'sparse_vector',
data_type: DataType.SparseFloatVector,
is_function_output: true,
},
function: {
name: 'my_bm25_function',
type: FunctionType.BM25,
input_field_names: ['text'],
output_field_names: ['sparse_vector'],
params: {},
},
});