airflow.providers.google.cloud.operators.dataplex

This module contains Google Dataplex operators.

Classes

DataplexCreateTaskOperator

Creates a task resource within a lake.

DataplexDeleteTaskOperator

Delete the task resource.

DataplexListTasksOperator

Lists tasks under the given lake.

DataplexGetTaskOperator

Get task resource.

DataplexCreateLakeOperator

Creates a lake resource within a lake.

DataplexDeleteLakeOperator

Delete the lake resource.

DataplexCreateOrUpdateDataQualityScanOperator

Creates a DataScan resource.

DataplexGetDataQualityScanOperator

Gets a DataScan resource.

DataplexDeleteDataQualityScanOperator

Deletes a DataScan resource.

DataplexRunDataQualityScanOperator

Runs an on-demand execution of a DataScan.

DataplexGetDataQualityScanResultOperator

Gets a Data Scan Job resource.

DataplexCreateOrUpdateDataProfileScanOperator

Creates a DataScan Data Profile resource.

DataplexGetDataProfileScanOperator

Gets a DataScan DataProfile resource.

DataplexDeleteDataProfileScanOperator

Deletes a DataScan DataProfile resource.

DataplexRunDataProfileScanOperator

Runs an on-demand execution of a DataScan Data Profile Scan.

DataplexGetDataProfileScanResultOperator

Gets a DataScan Data Profile Job resource.

DataplexCreateZoneOperator

Creates a Zone resource within a Lake.

DataplexDeleteZoneOperator

Deletes a Zone resource. All assets within a zone must be deleted before the zone can be deleted.

DataplexCreateAssetOperator

Creates an Asset resource.

DataplexDeleteAssetOperator

Deletes an asset resource.

DataplexCatalogBaseOperator

Base class for all Dataplex Catalog operators.

DataplexCatalogCreateEntryGroupOperator

Create an EntryGroup resource.

DataplexCatalogGetEntryGroupOperator

Get an EntryGroup resource.

DataplexCatalogDeleteEntryGroupOperator

Delete an EntryGroup resource.

DataplexCatalogListEntryGroupsOperator

List EntryGroup resources.

DataplexCatalogUpdateEntryGroupOperator

Update an EntryGroup resource.

DataplexCatalogCreateEntryTypeOperator

Create an EntryType resource.

DataplexCatalogGetEntryTypeOperator

Get an EntryType resource.

DataplexCatalogDeleteEntryTypeOperator

Delete an EntryType resource.

DataplexCatalogListEntryTypesOperator

List EntryType resources.

DataplexCatalogUpdateEntryTypeOperator

Update an EntryType resource.

DataplexCatalogCreateAspectTypeOperator

Create an AspectType resource.

DataplexCatalogGetAspectTypeOperator

Get an AspectType resource.

DataplexCatalogListAspectTypesOperator

List AspectType resources.

DataplexCatalogUpdateAspectTypeOperator

Update an AspectType resource.

DataplexCatalogDeleteAspectTypeOperator

Delete an AspectType resource.

DataplexCatalogCreateEntryOperator

Create an Entry resource.

DataplexCatalogGetEntryOperator

Get an Entry resource.

DataplexCatalogListEntriesOperator

List Entry resources.

DataplexCatalogSearchEntriesOperator

Search for Entries matching the given query and scope.

DataplexCatalogLookupEntryOperator

Look up a single Entry by name using the permission on the source system.

DataplexCatalogUpdateEntryOperator

Update an Entry resource.

DataplexCatalogDeleteEntryOperator

Delete an Entry resource.

Module Contents

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateTaskOperator(project_id, region, lake_id, body, dataplex_task_id, validate_only=None, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, asynchronous=False, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates a task resource within a lake.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • body (dict[str, Any]) – Required. The Request body contains an instance of Task.

  • dataplex_task_id (str) – Required. Task identifier.

  • validate_only (bool | None) – Optional. Only validate the request, but do not perform mutations. The default is false.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • asynchronous (bool) – Flag informing should the Dataplex task be created asynchronously. This is useful for long running creating tasks and waiting on them asynchronously using the DataplexTaskSensor

template_fields = ('project_id', 'dataplex_task_id', 'body', 'validate_only', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
lake_id[source]
body[source]
dataplex_task_id[source]
validate_only = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
asynchronous = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteTaskOperator(project_id, region, lake_id, dataplex_task_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Delete the task resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • dataplex_task_id (str) – Required. Task identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields = ('project_id', 'dataplex_task_id', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
dataplex_task_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexListTasksOperator(project_id, region, lake_id, page_size=None, page_token=None, filter=None, order_by=None, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Lists tasks under the given lake.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • page_size (int | None) – Optional. Maximum number of tasks to return. The service may return fewer than this value. If unspecified, at most 10 tasks will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.

  • page_token (str | None) – Optional. Page token received from a previous ListZones call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ListZones must match the call that provided the page token.

  • filter (str | None) – Optional. Filter request.

  • order_by (str | None) – Optional. Order by fields for the result.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields = ('project_id', 'page_size', 'page_token', 'filter', 'order_by', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
page_size = None[source]
page_token = None[source]
filter = None[source]
order_by = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexGetTaskOperator(project_id, region, lake_id, dataplex_task_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Get task resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • dataplex_task_id (str) – Required. Task identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields = ('project_id', 'dataplex_task_id', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
dataplex_task_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateLakeOperator(project_id, region, lake_id, body, validate_only=None, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, asynchronous=False, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates a lake resource within a lake.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • lake_id (str) – Required. Lake identifier.

  • body (dict[str, Any]) – Required. The Request body contains an instance of Lake.

  • validate_only (bool | None) – Optional. Only validate the request, but do not perform mutations. The default is false.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • asynchronous (bool) – Flag informing should the Dataplex lake be created asynchronously. This is useful for long-running creating lakes.

template_fields = ('project_id', 'lake_id', 'body', 'validate_only', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
lake_id[source]
body[source]
validate_only = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
asynchronous = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteLakeOperator(project_id, region, lake_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Delete the lake resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • lake_id (str) – Required. Lake identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields = ('project_id', 'lake_id', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateOrUpdateDataQualityScanOperator(project_id, region, data_scan_id, body, api_version='v1', retry=DEFAULT, timeout=None, update_mask=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates a DataScan resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • body (dict[str, Any] | google.cloud.dataplex_v1.types.DataScan) – Required. The Request body contains an instance of DataScan.

  • data_scan_id (str) – Required. Data Quality scan identifier.

  • update_mask (dict | google.protobuf.field_mask_pb2.FieldMask | None) – Mask of fields to update.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Dataplex data scan id

template_fields = ('project_id', 'data_scan_id', 'body', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
data_scan_id[source]
body[source]
update_mask = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexGetDataQualityScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Gets a DataScan resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Quality scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Dataplex data scan

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteDataQualityScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Deletes a DataScan resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Quality scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

None

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexRunDataQualityScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, asynchronous=False, fail_on_dq_failure=False, result_timeout=60.0 * 10, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), polling_interval_seconds=10, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Runs an on-demand execution of a DataScan.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Quality scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • asynchronous (bool) – Flag informing that the Dataplex job should be run asynchronously. This is useful for submitting long-running jobs and waiting on them asynchronously using the DataplexDataQualityJobStatusSensor

  • fail_on_dq_failure (bool) – If set to true and not all Data Quality scan rules have been passed, an exception is thrown. If set to false and not all Data Quality scan rules have been passed, execution will finish with success.

  • result_timeout (float) – Value in seconds for which operator will wait for the Data Quality scan result when the flag asynchronous = False. Throws exception if there is no result found after specified amount of seconds.

  • polling_interval_seconds (int) – time in seconds between polling for job completion. The value is considered only when running in deferrable mode. Must be greater than 0.

  • deferrable (bool) – Run operator in the deferrable mode.

Returns:

Dataplex Data Quality scan job id.

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
asynchronous = False[source]
fail_on_dq_failure = False[source]
result_timeout = 600.0[source]
deferrable = True[source]
polling_interval_seconds = 10[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Act as a callback for when the trigger fires - returns immediately.

Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.google.cloud.operators.dataplex.DataplexGetDataQualityScanResultOperator(project_id, region, data_scan_id, job_id=None, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, fail_on_dq_failure=False, wait_for_results=True, result_timeout=60.0 * 10, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), polling_interval_seconds=10, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Gets a Data Scan Job resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Quality scan identifier.

  • job_id (str | None) – Optional. Data Quality scan job identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • fail_on_dq_failure (bool) – If set to true and not all Data Quality scan rules have been passed, an exception is thrown. If set to false and not all Data Quality scan rules have been passed, execution will finish with success.

  • wait_for_results (bool) – Flag indicating whether to wait for the result of a job execution or to return the job in its current state.

  • result_timeout (float) – Value in seconds for which operator will wait for the Data Quality scan result when the flag wait_for_results = True. Throws exception if there is no result found after specified amount of seconds.

  • polling_interval_seconds (int) – time in seconds between polling for job completion. The value is considered only when running in deferrable mode. Must be greater than 0.

  • deferrable (bool) – Run operator in the deferrable mode.

Returns:

Dict representing DataScanJob. When the job completes with a successful status, information about the Data Quality result is available.

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain', 'job_id')[source]
project_id[source]
region[source]
data_scan_id[source]
job_id = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
fail_on_dq_failure = False[source]
wait_for_results = True[source]
result_timeout = 600.0[source]
deferrable = True[source]
polling_interval_seconds = 10[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Act as a callback for when the trigger fires - returns immediately.

Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateOrUpdateDataProfileScanOperator(project_id, region, data_scan_id, body, api_version='v1', retry=DEFAULT, timeout=None, update_mask=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates a DataScan Data Profile resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • body (dict[str, Any] | google.cloud.dataplex_v1.types.DataScan) – Required. The Request body contains an instance of DataScan.

  • data_scan_id (str) – Required. Data Profile scan identifier.

  • update_mask (dict | google.protobuf.field_mask_pb2.FieldMask | None) – Mask of fields to update.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Dataplex data profile id

template_fields = ('project_id', 'data_scan_id', 'body', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
data_scan_id[source]
body[source]
update_mask = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexGetDataProfileScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Gets a DataScan DataProfile resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Profile scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Dataplex data profile

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteDataProfileScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Deletes a DataScan DataProfile resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Profile scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

None

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexRunDataProfileScanOperator(project_id, region, data_scan_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, asynchronous=False, result_timeout=60.0 * 10, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), polling_interval_seconds=10, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Runs an on-demand execution of a DataScan Data Profile Scan.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Profile scan identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • asynchronous (bool) – Flag informing that the Dataplex job should be run asynchronously. This is useful for submitting long-running jobs and waiting on them asynchronously using the DataplexDataProfileJobStatusSensor

  • result_timeout (float) – Value in seconds for which operator will wait for the Data Profile scan result when the flag asynchronous = False. Throws exception if there is no result found after specified amount of seconds.

  • polling_interval_seconds (int) – time in seconds between polling for job completion. The value is considered only when running in deferrable mode. Must be greater than 0.

  • deferrable (bool) – Run operator in the deferrable mode.

Returns:

Dataplex Data Profile scan job id.

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
asynchronous = False[source]
result_timeout = 600.0[source]
deferrable = True[source]
polling_interval_seconds = 10[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Act as a callback for when the trigger fires - returns immediately.

Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.google.cloud.operators.dataplex.DataplexGetDataProfileScanResultOperator(project_id, region, data_scan_id, job_id=None, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, wait_for_results=True, result_timeout=60.0 * 10, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Gets a DataScan Data Profile Job resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the lake belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the lake belongs to.

  • data_scan_id (str) – Required. Data Profile scan identifier.

  • job_id (str | None) – Optional. Data Profile scan job identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

  • wait_for_results (bool) – Flag indicating whether to wait for the result of a job execution or to return the job in its current state.

  • result_timeout (float) – Value in seconds for which operator will wait for the Data Profile scan result when the flag wait_for_results = True. Throws exception if there is no result found after specified amount of seconds.

Returns:

Dict representing DataScanJob. When the job completes with a successful status, information about the Data Profile result is available.

template_fields = ('project_id', 'data_scan_id', 'impersonation_chain')[source]
project_id[source]
region[source]
data_scan_id[source]
job_id = None[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
wait_for_results = True[source]
result_timeout = 600.0[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Act as a callback for when the trigger fires - returns immediately.

Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateZoneOperator(project_id, region, lake_id, body, zone_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates a Zone resource within a Lake.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • body (dict[str, Any] | google.cloud.dataplex_v1.types.Zone) – Required. The Request body contains an instance of Zone.

  • zone_id (str) – Required. Task identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Zone

template_fields = ('project_id', 'zone_id', 'body', 'lake_id', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
lake_id[source]
body[source]
zone_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteZoneOperator(project_id, region, lake_id, zone_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Deletes a Zone resource. All assets within a zone must be deleted before the zone can be deleted.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the task belongs to.

  • zone_id (str) – Required. Zone identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

None

template_fields = ('project_id', 'lake_id', 'zone_id', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
zone_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCreateAssetOperator(project_id, region, lake_id, body, zone_id, asset_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Creates an Asset resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the lake belongs to.

  • zone_id (str) – Required. Zone identifier.

  • asset_id (str) – Required. Asset identifier.

  • body (dict[str, Any] | google.cloud.dataplex_v1.types.Asset) – Required. The Request body contains an instance of Asset.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

Asset

template_fields = ('project_id', 'zone_id', 'asset_id', 'body', 'impersonation_chain')[source]
template_fields_renderers[source]
project_id[source]
region[source]
lake_id[source]
body[source]
zone_id[source]
asset_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexDeleteAssetOperator(project_id, region, lake_id, zone_id, asset_id, api_version='v1', retry=DEFAULT, timeout=None, metadata=(), gcp_conn_id='google_cloud_default', impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Deletes an asset resource.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project that the task belongs to.

  • region (str) – Required. The ID of the Google Cloud region that the task belongs to.

  • lake_id (str) – Required. The ID of the Google Cloud lake that the asset belongs to.

  • zone_id (str) – Required. Zone identifier.

  • asset_id (str) – Required. Asset identifier.

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Additional metadata that is provided to the method.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Returns:

None

template_fields = ('project_id', 'zone_id', 'asset_id', 'impersonation_chain')[source]
project_id[source]
region[source]
lake_id[source]
zone_id[source]
asset_id[source]
api_version = 'v1'[source]
retry[source]
timeout = None[source]
metadata = ()[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogBaseOperator(project_id, location, gcp_conn_id='google_cloud_default', retry=DEFAULT, timeout=None, metadata=(), impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Base class for all Dataplex Catalog operators.

Parameters:
  • project_id (str) – Required. The ID of the Google Cloud project where the service is used.

  • location (str) – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id (str) – Optional. The connection ID to use to connect to Google Cloud.

  • retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (float | None) – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (collections.abc.Sequence[tuple[str, str]]) – Optional. Additional metadata that is provided to the method.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'gcp_conn_id', 'impersonation_chain')[source]
project_id[source]
location[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
retry[source]
timeout = None[source]
metadata = ()[source]
property hook: airflow.providers.google.cloud.hooks.dataplex.DataplexHook[source]
class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogCreateEntryGroupOperator(entry_group_id, entry_group_configuration, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Create an EntryGroup resource.

See also

For more information on how to use this operator, take a look at the guide: Create an EntryGroup

Parameters:
  • entry_group_id (str) – Required. EntryGroup identifier.

  • entry_group_configuration (google.cloud.dataplex_v1.types.EntryGroup | dict) – Required. EntryGroup configuration. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.entryGroups#EntryGroup

  • validate_request (bool) – Optional. If set, performs request validation, but does not actually execute the request.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_group_id[source]
entry_group_configuration[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogGetEntryGroupOperator(entry_group_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Get an EntryGroup resource.

See also

For more information on how to use this operator, take a look at the guide: Get an EntryGroup

Parameters:
  • entry_group_id (str) – Required. EntryGroup identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_group_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogDeleteEntryGroupOperator(entry_group_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Delete an EntryGroup resource.

See also

For more information on how to use this operator, take a look at the guide: Delete an EntryGroup

Parameters:
  • entry_group_id (str) – Required. EntryGroup identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_group_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogListEntryGroupsOperator(page_size=None, page_token=None, filter_by=None, order_by=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

List EntryGroup resources.

See also

For more information on how to use this operator, take a look at the guide: List EntryGroups

Parameters:
  • filter_by (str | None) – Optional. Filter to apply on the list results.

  • order_by (str | None) – Optional. Fields to order the results by.

  • page_size (int | None) – Optional. Maximum number of EntryGroups to return on the page.

  • page_token (str | None) – Optional. Token to retrieve the next page of results.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'gcp_conn_id', 'impersonation_chain')[source]
page_size = None[source]
page_token = None[source]
filter_by = None[source]
order_by = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogUpdateEntryGroupOperator(entry_group_id, entry_group_configuration, update_mask=None, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Update an EntryGroup resource.

See also

For more information on how to use this operator, take a look at the guide: Update an EntryGroup

Parameters:
  • project_id – Required. The ID of the Google Cloud project that the task belongs to.

  • location – Required. The ID of the Google Cloud region that the task belongs to.

  • update_mask (list[str] | google.protobuf.field_mask_pb2.FieldMask | None) – Optional. Names of fields whose values to overwrite on an entry group. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied.

  • entry_group_id (str) – Required. ID of the EntryGroup to update.

  • entry_group_configuration (dict | google.cloud.dataplex_v1.types.EntryGroup) – Required. The updated configuration body of the EntryGroup. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.entryGroups#EntryGroup

  • validate_only – Optional. The service validates the request without performing any mutations.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • gcp_conn_id – Optional. The connection ID to use when fetching connection info.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_group_id[source]
entry_group_configuration[source]
update_mask = None[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogCreateEntryTypeOperator(entry_type_id, entry_type_configuration, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Create an EntryType resource.

See also

For more information on how to use this operator, take a look at the guide: Create an EntryType

Parameters:
  • entry_type_id (str) – Required. EntryType identifier.

  • entry_type_configuration (google.cloud.dataplex_v1.types.EntryType | dict) – Required. EntryType configuration. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.entryGroups#EntryGroup

  • validate_request (bool) – Optional. If set, performs request validation, but does not actually execute the request.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_type_id[source]
entry_type_configuration[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogGetEntryTypeOperator(entry_type_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Get an EntryType resource.

See also

For more information on how to use this operator, take a look at the guide: Get an EntryType

Parameters:
  • entry_type_id (str) – Required. EntryType identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_type_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogDeleteEntryTypeOperator(entry_type_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Delete an EntryType resource.

See also

For more information on how to use this operator, take a look at the guide: Delete an EntryType

Parameters:
  • entry_type_id (str) – Required. EntryType identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_type_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogListEntryTypesOperator(page_size=None, page_token=None, filter_by=None, order_by=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

List EntryType resources.

See also

For more information on how to use this operator, take a look at the guide: List EntryTypes

Parameters:
  • filter_by (str | None) – Optional. Filter to apply on the list results.

  • order_by (str | None) – Optional. Fields to order the results by.

  • page_size (int | None) – Optional. Maximum number of EntryTypes to return on the page.

  • page_token (str | None) – Optional. Token to retrieve the next page of results.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'gcp_conn_id', 'impersonation_chain')[source]
page_size = None[source]
page_token = None[source]
filter_by = None[source]
order_by = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogUpdateEntryTypeOperator(entry_type_id, entry_type_configuration, update_mask=None, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Update an EntryType resource.

See also

For more information on how to use this operator, take a look at the guide: Update an EntryType

Parameters:
  • project_id – Required. The ID of the Google Cloud project that the task belongs to.

  • location – Required. The ID of the Google Cloud region that the task belongs to.

  • update_mask (list[str] | google.protobuf.field_mask_pb2.FieldMask | None) – Optional. Names of fields whose values to overwrite on an entry group. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied.

  • entry_type_id (str) – Required. ID of the EntryType to update.

  • entry_type_configuration (dict | google.cloud.dataplex_v1.types.EntryType) – Required. The updated configuration body of the EntryType. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.entryGroups#EntryGroup

  • validate_only – Optional. The service validates the request without performing any mutations.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • gcp_conn_id – Optional. The connection ID to use when fetching connection info.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_type_id[source]
entry_type_configuration[source]
update_mask = None[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogCreateAspectTypeOperator(aspect_type_id, aspect_type_configuration, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Create an AspectType resource.

See also

For more information on how to use this operator, take a look at the guide: Create an AspectType

Parameters:
  • aspect_type_id (str) – Required. AspectType identifier.

  • aspect_type_configuration (google.cloud.dataplex_v1.types.AspectType | dict) – Required. AspectType configuration. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.aspectTypes#AspectType

  • validate_request (bool) – Optional. If set, performs request validation, but does not actually execute the request.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
aspect_type_id[source]
aspect_type_configuration[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogGetAspectTypeOperator(aspect_type_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Get an AspectType resource.

See also

For more information on how to use this operator, take a look at the guide: Get an AspectType

Parameters:
  • aspect_type_id (str) – Required. AspectType identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
aspect_type_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogListAspectTypesOperator(page_size=None, page_token=None, filter_by=None, order_by=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

List AspectType resources.

See also

For more information on how to use this operator, take a look at the guide: List AspectTypes

Parameters:
  • filter_by (str | None) – Optional. Filter to apply on the list results.

  • order_by (str | None) – Optional. Fields to order the results by.

  • page_size (int | None) – Optional. Maximum number of AspectTypes to return on the page.

  • page_token (str | None) – Optional. Token to retrieve the next page of results.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'gcp_conn_id', 'impersonation_chain')[source]
page_size = None[source]
page_token = None[source]
filter_by = None[source]
order_by = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogUpdateAspectTypeOperator(aspect_type_id, aspect_type_configuration, update_mask=None, validate_request=False, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Update an AspectType resource.

See also

For more information on how to use this operator, take a look at the guide: Update an AspectType

Parameters:
  • project_id – Required. The ID of the Google Cloud project that the task belongs to.

  • location – Required. The ID of the Google Cloud region that the task belongs to.

  • update_mask (list[str] | google.protobuf.field_mask_pb2.FieldMask | None) – Optional. Names of fields whose values to overwrite on an entry group. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied.

  • aspect_type_id (str) – Required. ID of the AspectType to update.

  • aspect_type_configuration (dict | google.cloud.dataplex_v1.types.AspectType) – Required. The updated configuration body of the AspectType. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.aspectTypes#AspectType

  • validate_only – Optional. The service validates the request without performing any mutations.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • gcp_conn_id – Optional. The connection ID to use when fetching connection info.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
aspect_type_id[source]
aspect_type_configuration[source]
update_mask = None[source]
validate_request = False[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogDeleteAspectTypeOperator(aspect_type_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Delete an AspectType resource.

See also

For more information on how to use this operator, take a look at the guide: Delete an AspectType

Parameters:
  • aspect_type_id (str) – Required. AspectType identifier.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
aspect_type_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogCreateEntryOperator(entry_id, entry_group_id, entry_configuration, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Create an Entry resource.

See also

For more information on how to use this operator, take a look at the guide: Create an Entry

Parameters:
  • entry_id (str) – Required. Entry identifier. It has to be unique within an Entry Group. Entries corresponding to Google Cloud resources use an Entry ID format based on full resource names. The format is a full resource name of the resource without the prefix double slashes in the API service name part of the full resource name. This allows retrieval of entries using their associated resource name. For example, if the full resource name of a resource is //library.googleapis.com/shelves/shelf1/books/book2, then the suggested entry_id is library.googleapis.com/shelves/shelf1/books/book2. It is also suggested to follow the same convention for entries corresponding to resources from providers or systems other than Google Cloud. The maximum size of the field is 4000 characters.

  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry will belong to.

  • entry_configuration (google.cloud.dataplex_v1.types.Entry | dict) – Required. Entry configuration. For more details please see API documentation: https://cloud.google.com/dataplex/docs/reference/rest/v1/projects.locations.entryGroups.entries#Entry

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_id[source]
entry_group_id[source]
entry_configuration[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogGetEntryOperator(entry_id, entry_group_id, view=None, aspect_types=None, paths=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Get an Entry resource.

See also

For more information on how to use this operator, take a look at the guide: Get an Entry

Parameters:
  • entry_id (str) – Required. Entry identifier. It has to be unique within an Entry Group. Entries corresponding to Google Cloud resources use an Entry ID format based on full resource names. The format is a full resource name of the resource without the prefix double slashes in the API service name part of the full resource name. This allows retrieval of entries using their associated resource name. For example, if the full resource name of a resource is //library.googleapis.com/shelves/shelf1/books/book2, then the suggested entry_id is library.googleapis.com/shelves/shelf1/books/book2. It is also suggested to follow the same convention for entries corresponding to resources from providers or systems other than Google Cloud. The maximum size of the field is 4000 characters.

  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry will belong to.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • view (google.cloud.dataplex_v1.types.EntryView | str | None) – Optional. View to control which parts of an Entry the service should return.

  • aspect_types (collections.abc.MutableSequence[str] | None) – Optional. Limits the aspects returned to the provided aspect types. It only works for CUSTOM view.

  • paths (collections.abc.MutableSequence[str] | None) – Optional. Limits the aspects returned to those associated with the provided paths within the Entry. It only works for CUSTOM view.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_id[source]
entry_group_id[source]
view = None[source]
aspect_types = None[source]
paths = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogListEntriesOperator(entry_group_id, page_size=None, page_token=None, filter_by=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

List Entry resources.

See also

For more information on how to use this operator, take a look at the guide: List Entries

Parameters:
  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry belongs to.

  • filter_by (str | None) –

    Optional. A filter on the entries to return. Filters are case-sensitive. You can filter the request by the following fields:

    • entry_type

    • entry_source.display_name

    The comparison operators are =, !=, <, >, <=, >=. The service compares strings according to lexical order. You can use the logical operators AND, OR, NOT in the filter. You can use Wildcard “*”, but for entry_type you need to provide the full project id or number. Example filter expressions:

    • ”entry_source.display_name=AnExampleDisplayName”

    • ”entry_type=projects/example-project/locations/global/entryTypes/example-entry_type”

    • ”entry_type=projects/example-project/locations/us/entryTypes/a*

      OR entry_type=projects/another-project/locations/*”

    • ”NOT entry_source.display_name=AnotherExampleDisplayName”.

  • page_size (int | None) – Optional. Number of items to return per page. If there are remaining results, the service returns a next_page_token. If unspecified, the service returns at most 10 Entries. The maximum value is 100; values above 100 will be coerced to 100.

  • page_token (str | None) – Optional. Page token received from a previous ListEntries call. Provide this to retrieve the subsequent page.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'gcp_conn_id', 'impersonation_chain')[source]
entry_group_id[source]
page_size = None[source]
page_token = None[source]
filter_by = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogSearchEntriesOperator(query, order_by=None, scope=None, page_size=None, page_token=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Search for Entries matching the given query and scope.

See also

For more information on how to use this operator, take a look at the guide: Search Entries

Parameters:
  • query (str) – Required. The query against which entries in scope should be matched. The query syntax is defined in Search syntax for Dataplex Catalog.

  • order_by (str | None) –

    Optional. Specifies the ordering of results. Supported values are:

    • relevance (default)

    • last_modified_timestamp

    • last_modified_timestamp asc

  • scope (str | None) – Optional. The scope under which the search should be operating. It must either be organizations/<org_id> or projects/<project_ref>. If it is unspecified, it defaults to the organization where the project provided in name is located.

  • page_size (int | None) – Optional. Number of items to return per page. If there are remaining results, the service returns a next_page_token. If unspecified, the service returns at most 10 Entries. The maximum value is 100; values above 100 will be coerced to 100.

  • page_token (str | None) – Optional. Page token received from a previous ListEntries call. Provide this to retrieve the subsequent page.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
query[source]
page_size = None[source]
page_token = None[source]
order_by = None[source]
scope = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogLookupEntryOperator(entry_id, entry_group_id, view=None, aspect_types=None, paths=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Look up a single Entry by name using the permission on the source system.

See also

For more information on how to use this operator, take a look at the guide: Look up a single Entry

Parameters:
  • entry_id (str) – Required. Entry identifier. It has to be unique within an Entry Group. Entries corresponding to Google Cloud resources use an Entry ID format based on full resource names. The format is a full resource name of the resource without the prefix double slashes in the API service name part of the full resource name. This allows retrieval of entries using their associated resource name. For example, if the full resource name of a resource is //library.googleapis.com/shelves/shelf1/books/book2, then the suggested entry_id is library.googleapis.com/shelves/shelf1/books/book2. It is also suggested to follow the same convention for entries corresponding to resources from providers or systems other than Google Cloud. The maximum size of the field is 4000 characters.

  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry will belong to.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • view (google.cloud.dataplex_v1.types.EntryView | str | None) – Optional. View to control which parts of an Entry the service should return.

  • aspect_types (collections.abc.MutableSequence[str] | None) – Optional. Limits the aspects returned to the provided aspect types. It only works for CUSTOM view.

  • paths (collections.abc.MutableSequence[str] | None) – Optional. Limits the aspects returned to those associated with the provided paths within the Entry. It only works for CUSTOM view.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_id[source]
entry_group_id[source]
view = None[source]
aspect_types = None[source]
paths = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogUpdateEntryOperator(entry_id, entry_group_id, entry_configuration, allow_missing=False, delete_missing_aspects=False, aspect_keys=None, update_mask=None, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Update an Entry resource.

See also

For more information on how to use this operator, take a look at the guide: Update an Entry

Parameters:
  • project_id – Required. The ID of the Google Cloud project that the task belongs to.

  • location – Required. The ID of the Google Cloud region that the task belongs to.

  • entry_id (str) – Required. Entry identifier. It has to be unique within an Entry Group. Entries corresponding to Google Cloud resources use an Entry ID format based on full resource names. The format is a full resource name of the resource without the prefix double slashes in the API service name part of the full resource name. This allows retrieval of entries using their associated resource name. For example, if the full resource name of a resource is //library.googleapis.com/shelves/shelf1/books/book2, then the suggested entry_id is library.googleapis.com/shelves/shelf1/books/book2. It is also suggested to follow the same convention for entries corresponding to resources from providers or systems other than Google Cloud. The maximum size of the field is 4000 characters.

  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry belongs to.

  • entry_configuration (dict | google.cloud.dataplex_v1.types.Entry) – Required. The updated configuration body of the Entry.

  • allow_missing (bool | None) – Optional. If set to true and entry doesn’t exist, the service will create it.

  • delete_missing_aspects (bool | None) – Optional. If set to true and the aspect_keys specify aspect ranges, the service deletes any existing aspects from that range that weren’t provided in the request.

  • aspect_keys (collections.abc.MutableSequence[str] | None) –

    Optional. The map keys of the Aspects which the service should modify. It supports the following syntax:

    • <aspect_type_reference> - matches an aspect of the given type and empty path.

    • <aspect_type_reference>@path - matches an aspect of the given type and specified path.

      For example, to attach an aspect to a field that is specified by the schema aspect, the path should have the format Schema.<field_name>.

    • <aspect_type_reference>@* - matches aspects of the given type for all paths.

    • *@path - matches aspects of all types on the given path.

    The service will not remove existing aspects matching the syntax unless delete_missing_aspects is set to true. If this field is left empty, the service treats it as specifying exactly those Aspects present in the request.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • gcp_conn_id – Optional. The connection ID to use when fetching connection info.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_id[source]
entry_group_id[source]
entry_configuration[source]
update_mask = None[source]
allow_missing = False[source]
delete_missing_aspects = False[source]
aspect_keys = None[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.dataplex.DataplexCatalogDeleteEntryOperator(entry_id, entry_group_id, *args, **kwargs)[source]

Bases: DataplexCatalogBaseOperator

Delete an Entry resource.

See also

For more information on how to use this operator, take a look at the guide: Delete an Entry

Parameters:
  • entry_id (str) – Required. Entry identifier. It has to be unique within an Entry Group. Entries corresponding to Google Cloud resources use an Entry ID format based on full resource names. The format is a full resource name of the resource without the prefix double slashes in the API service name part of the full resource name. This allows retrieval of entries using their associated resource name. For example, if the full resource name of a resource is //library.googleapis.com/shelves/shelf1/books/book2, then the suggested entry_id is library.googleapis.com/shelves/shelf1/books/book2. It is also suggested to follow the same convention for entries corresponding to resources from providers or systems other than Google Cloud. The maximum size of the field is 4000 characters.

  • entry_group_id (str) – Required. EntryGroup resource name to which created Entry will belong to.

  • project_id – Required. The ID of the Google Cloud project where the service is used.

  • location – Required. The ID of the Google Cloud region where the service is used.

  • gcp_conn_id – Optional. The connection ID to use to connect to Google Cloud.

  • retry – Optional. A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout – Optional. The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata – Optional. Additional metadata that is provided to the method.

  • impersonation_chain – Optional. Service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]
entry_id[source]
entry_group_id[source]
execute(context)[source]

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

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