| :py:mod:`airflow.providers.amazon.aws.sensors.quicksight` |
| ========================================================= |
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| .. py:module:: airflow.providers.amazon.aws.sensors.quicksight |
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| Module Contents |
| --------------- |
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| Classes |
| ~~~~~~~ |
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| .. autoapisummary:: |
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| airflow.providers.amazon.aws.sensors.quicksight.QuickSightSensor |
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| .. py:class:: QuickSightSensor(*, data_set_id, ingestion_id, aws_conn_id = 'aws_default', **kwargs) |
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| Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator` |
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| Watches for the status of an Amazon QuickSight Ingestion. |
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| .. seealso:: |
| For more information on how to use this sensor, take a look at the guide: |
| :ref:`howto/sensor:QuickSightSensor` |
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| :param data_set_id: ID of the dataset used in the ingestion. |
| :param ingestion_id: ID for the ingestion. |
| :param aws_conn_id: The Airflow connection used for AWS credentials. (templated) |
| If this is None or empty then the default boto3 behaviour is used. If |
| running Airflow in a distributed manner and aws_conn_id is None or |
| empty, then the default boto3 configuration would be used (and must be |
| maintained on each worker node). |
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| .. py:method:: poke(self, context) |
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| Pokes until the QuickSight Ingestion has successfully finished. |
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| :param context: The task context during execution. |
| :return: True if it COMPLETED and False if not. |
| :rtype: bool |
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| .. py:method:: get_quicksight_hook(self) |
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| .. py:method:: get_sts_hook(self) |
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