airflow.providers.microsoft.azure.operators.synapse

Module Contents

Classes

AzureSynapseRunSparkBatchOperator

Execute a Spark job on Azure Synapse.

AzureSynapsePipelineRunLink

Construct a link to monitor a pipeline run in Azure Synapse.

AzureSynapseRunPipelineOperator

Execute a Synapse Pipeline.
class airflow.providers.microsoft.azure.operators.synapse.AzureSynapseRunSparkBatchOperator(*, azure_synapse_conn_id=AzureSynapseHook.default_conn_name, wait_for_termination=True, spark_pool='', payload, timeout=60 * 60 * 24 * 7, check_interval=60, **kwargs)[source]

Bases: airflow.models.BaseOperator

Execute a Spark job on Azure Synapse.

Parameters

  • azure_synapse_conn_id (str) – The connection identifier for connecting to Azure Synapse.

  • wait_for_termination (bool) – Flag to wait on a job run’s termination.

  • spark_pool (str) – The target synapse spark pool used to submit the job

  • payload (azure.synapse.spark.models.SparkBatchJobOptions) – Livy compatible payload which represents the spark job that a user wants to submit

  • timeout (int) – Time in seconds to wait for a job to reach a terminal status for non-asynchronous waits. Used only if wait_for_termination is True.

  • check_interval (int) – Time in seconds to check on a job run’s status for non-asynchronous waits. Used only if wait_for_termination is True.

template_fields: Sequence[str] = ('azure_synapse_conn_id', 'spark_pool')[source]
template_fields_renderers[source]
ui_color = '#0678d4'[source]
hook()[source]

Create and return an AzureSynapseHook (cached).

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.

on_kill()[source]

Override this method to clean up subprocesses when a task instance gets killed.

Any use of the threading, subprocess or multiprocessing module within an operator needs to be cleaned up, or it will leave ghost processes behind.

Bases: airflow.models.BaseOperatorLink

Construct a link to monitor a pipeline run in Azure Synapse.

name = 'Monitor Pipeline Run'[source]
get_fields_from_url(workspace_url)[source]

Extract the workspace_name, subscription_id and resource_group from the Synapse workspace url.

Parameters

workspace_url – The workspace url.

Link to external system.

Note: The old signature of this function was (self, operator, dttm: datetime). That is still supported at runtime but is deprecated.

Parameters
Returns

link to external system

class airflow.providers.microsoft.azure.operators.synapse.AzureSynapseRunPipelineOperator(pipeline_name, azure_synapse_conn_id, azure_synapse_workspace_dev_endpoint, wait_for_termination=True, reference_pipeline_run_id=None, is_recovery=None, start_activity_name=None, parameters=None, timeout=60 * 60 * 24 * 7, check_interval=60, **kwargs)[source]

Bases: airflow.models.BaseOperator

Execute a Synapse Pipeline.

Parameters

  • pipeline_name (str) – The name of the pipeline to execute.

  • azure_synapse_conn_id (str) – The Airflow connection ID for Azure Synapse.

  • azure_synapse_workspace_dev_endpoint (str) – The Azure Synapse workspace development endpoint.

  • wait_for_termination (bool) – Flag to wait on a pipeline run’s termination.

  • reference_pipeline_run_id (str | None) – The pipeline run identifier. If this run ID is specified the parameters of the specified run will be used to create a new run.

  • is_recovery (bool | None) – Recovery mode flag. If recovery mode is set to True, the specified referenced pipeline run and the new run will be grouped under the same groupId.

  • start_activity_name (str | None) – In recovery mode, the rerun will start from this activity. If not specified, all activities will run.

  • parameters (dict[str, Any] | None) – Parameters of the pipeline run. These parameters are referenced in a pipeline via @pipeline().parameters.parameterName and will be used only if the reference_pipeline_run_id is not specified.

  • timeout (int) – Time in seconds to wait for a pipeline to reach a terminal status for non-asynchronous waits. Used only if wait_for_termination is True.

  • check_interval (int) – Time in seconds to check on a pipeline run’s status for non-asynchronous waits. Used only if wait_for_termination is True.

template_fields: Sequence[str] = ('azure_synapse_conn_id',)[source]
hook()[source]

Create and return an AzureSynapsePipelineHook (cached).

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(event)[source]

Return immediately - callback for when the trigger fires.

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

on_kill()[source]

Override this method to clean up subprocesses when a task instance gets killed.

Any use of the threading, subprocess or multiprocessing module within an operator needs to be cleaned up, or it will leave ghost processes behind.

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