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Showing content from https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.Execution below:

Class Execution (1.109.0) | Python client library

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Execution(
    execution_name: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

Metadata Execution resource for Vertex AI

Time this resource was created.

Display name of this resource.

Customer-managed encryption key options for this Vertex AI resource.

If this is set, then all resources created by this Vertex AI resource will be encrypted with the provided encryption key.

The underlying resource proto representation.

User-defined labels containing metadata about this resource.

Read more about labels at https://goo.gl/xmQnxf

Name of this resource.

Full qualified resource name.

State of this Execution.

Time this resource was last updated.

Execution(
    execution_name: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

Retrieves an existing Metadata Execution given a resource name or ID.

Required. A fully-qualified resource name or resource ID of the Execution. Example: "projects/123/locations/us-central1/metadataStores/default/executions/my-resource". or "my-resource" when project and location are initialized or passed.

Optional. MetadataStore to retrieve Execution from. If not set, metadata_store_id is set to "default". If execution_name is a fully-qualified resource, its metadata_store_id overrides this one.

Optional. Project to retrieve the artifact from. If not set, project set in aiplatform.init will be used.

Optional. Location to retrieve the Execution from. If not set, location set in aiplatform.init will be used.

Optional. Custom credentials to use to retrieve this Execution. Overrides credentials set in aiplatform.init.

assign_input_artifacts(
    artifacts: typing.List[
        typing.Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ],
)

Assigns Artifacts as inputs to this Executions.

Required. Artifacts to assign as input.

assign_output_artifacts(
    artifacts: typing.List[
        typing.Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ],
)

Assigns Artifacts as outputs to this Executions.

Required. Artifacts to assign as input.

create(
    schema_title: str,
    *,
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.RUNNING,
    resource_id: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict[str, typing.Any]] = None,
    description: typing.Optional[str] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials=typing.Optional[google.auth.credentials.Credentials]
) -> google.cloud.aiplatform.metadata.execution.Execution

Creates a new Metadata Execution.

Required. schema_title identifies the schema title used by the Execution.

Optional. State of this Execution. Defaults to RUNNING.

Optional. The <resource_id> portion of the Execution name with the format. This is globally unique in a metadataStore: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/executions/<resource_id>.

Optional. The user-defined name of the Execution.

Optional. schema_version specifies the version used by the Execution. If not set, defaults to use the latest version.

Optional. Contains the metadata information that will be stored in the Execution.

Optional. Describes the purpose of the Execution to be created.

Optional. The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/artifacts/<resource_id> If not provided, the MetadataStore's ID will be set to "default".

Optional. Project used to create this Execution. Overrides project set in aiplatform.init.

Optional. Location used to create this Execution. Overrides location set in aiplatform.init.

Optional. Custom credentials used to create this Execution. Overrides credentials set in aiplatform.init.

delete(sync: bool = True) -> None

Deletes this Vertex AI resource. WARNING: This deletion is permanent.

get(
    resource_id: str,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves a Metadata resource.

Required. The <resource_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/<resource_noun>/<resource_id>.

The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/<resource_noun>/<resource_id> If not provided, the MetadataStore's ID will be set to "default".

Project used to retrieve or create this resource. Overrides project set in aiplatform.init.

Location used to retrieve or create this resource. Overrides location set in aiplatform.init.

Custom credentials used to retrieve or create this resource. Overrides credentials set in aiplatform.init.

get_input_artifacts() -> (
    typing.List[google.cloud.aiplatform.metadata.artifact.Artifact]
)

Get the input Artifacts of this Execution.

get_or_create(
    resource_id: str,
    schema_title: str,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves or Creates (if it does not exist) a Metadata resource.

Required. The <resource_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/<resource_noun>/<resource_id>.

Required. schema_title identifies the schema title used by the resource.

Optional. The user-defined name of the resource.

Optional. schema_version specifies the version used by the resource. If not set, defaults to use the latest version.

Optional. Describes the purpose of the resource to be created.

Optional. Contains the metadata information that will be stored in the resource.

The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/<resource_noun>/<resource_id> If not provided, the MetadataStore's ID will be set to "default".

Project used to retrieve or create this resource. Overrides project set in aiplatform.init.

Location used to retrieve or create this resource. Overrides location set in aiplatform.init.

Custom credentials used to retrieve or create this resource. Overrides credentials set in aiplatform.init.

get_output_artifacts() -> (
    typing.List[google.cloud.aiplatform.metadata.artifact.Artifact]
)

Get the output Artifacts of this Execution.

list(
    filter: typing.Optional[str] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    order_by: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.metadata.resource._Resource]

List resources that match the list filter in target metadataStore.

Optional. A query to filter available resources for matching results.

The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/<resource_noun>/<resource_id> If not provided, the MetadataStore's ID will be set to "default".

Project used to create this resource. Overrides project set in aiplatform.init.

Location used to create this resource. Overrides location set in aiplatform.init.

Custom credentials used to create this resource. Overrides credentials set in aiplatform.init.

Optional. How the list of messages is ordered. Specify the values to order by and an ordering operation. The default sorting order is ascending. To specify descending order for a field, users append a " desc" suffix; for example: "foo desc, bar". Subfields are specified with a . character, such as foo.bar. see https://google.aip.dev/132#ordering for more details.

Syncs local resource with the resource in metadata store.

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

update(
    state: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution.State
    ] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict[str, typing.Any]] = None,
)

Update this Execution.

Optional. State of this Execution.

Optional. Describes the purpose of the Execution to be created.

Optional. Contains the metadata information that will be stored in the Execution.

Helper method that blocks until all futures are complete.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-14 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[],[]]

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