create method
- GoogleCloudAiplatformV1Execution request,
- String parent, {
- String? executionId,
- String? $fields,
Creates an Execution associated with a MetadataStore.
request
- The metadata request object.
Request parameters:
parent
- Required. The resource name of the MetadataStore where the
Execution should be created. Format:
projects/{project}/locations/{location}/metadataStores/{metadatastore}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/metadataStores/\[^/\]+$
.
executionId
- The {execution} portion of the resource name with the
format:
projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
If not provided, the Execution's ID will be a UUID generated by the
service. Must be 4-128 characters in length. Valid characters are
/a-z-/
. Must be unique across all Executions in the parent
MetadataStore. (Otherwise the request will fail with ALREADY_EXISTS, or
PERMISSION_DENIED if the caller can't view the preexisting Execution.)
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1Execution.
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<GoogleCloudAiplatformV1Execution> create(
GoogleCloudAiplatformV1Execution request,
core.String parent, {
core.String? executionId,
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if (executionId != null) 'executionId': [executionId],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/executions';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1Execution.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}