Method: googleapis.aiplatform.v1.projects.locations.metadataStores.executions.queryExecutionInputsAndOutputs

Preview

This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

Arguments

Parameters
execution	string Required. The resource name of the Execution whose input and output Artifacts should be retrieved as a LineageSubgraph. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
region	string Required. Region of the HTTP endpoint. For example, if region is set to us-central1, the endpoint https://us-central1-integrations.googleapis.com will be used. See service endpoints.

Raised exceptions

Exceptions
ConnectionError	In case of a network problem (such as DNS failure or refused connection).
HttpError	If the response status is >= 400 (excluding 429 and 503).
TimeoutError	If a long-running operation takes longer to finish than the specified timeout limit.
TypeError	If an operation or function receives an argument of the wrong type.
ValueError	If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout.

Response

If successful, the response contains an instance of GoogleCloudAiplatformV1LineageSubgraph.

Subworkflow snippet

Some fields might be optional or required. To identify required fields, refer to the API documentation.

YAML

- queryExecutionInputsAndOutputs:
    call: googleapis.aiplatform.v1.projects.locations.metadataStores.executions.queryExecutionInputsAndOutputs
    args:
        execution: ...
        region: ...
    result: queryExecutionInputsAndOutputsResult

JSON

[
  {
    "queryExecutionInputsAndOutputs": {
      "call": "googleapis.aiplatform.v1.projects.locations.metadataStores.executions.queryExecutionInputsAndOutputs",
      "args": {
        "execution": "...",
        "region": "..."
      },
      "result": "queryExecutionInputsAndOutputsResult"
    }
  }
]