list method
Lists MetadataSchemas.
Request parameters:
parent
- Required. The MetadataStore whose MetadataSchemas should be
listed. Format:
projects/{project}/locations/{location}/metadataStores/{metadatastore}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/metadataStores/\[^/\]+$
.
filter
- A query to filter available MetadataSchemas for matching
results.
pageSize
- The maximum number of MetadataSchemas to return. The service
may return fewer. Must be in range 1-1000, inclusive. Defaults to 100.
pageToken
- A page token, received from a previous
MetadataService.ListMetadataSchemas call. Provide this to retrieve the
next page. When paginating, all other provided parameters must match the
call that provided the page token. (Otherwise the request will fail with
INVALID_ARGUMENT error.)
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1ListMetadataSchemasResponse.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<GoogleCloudAiplatformV1ListMetadataSchemasResponse> list(
core.String parent, {
core.String? filter,
core.int? pageSize,
core.String? pageToken,
core.String? $fields,
}) async {
final queryParams_ = <core.String, core.List<core.String>>{
if (filter != null) 'filter': [filter],
if (pageSize != null) 'pageSize': ['${pageSize}'],
if (pageToken != null) 'pageToken': [pageToken],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/metadataSchemas';
final response_ = await _requester.request(
url_,
'GET',
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1ListMetadataSchemasResponse.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}