providers/amazon/docs/transfer/sql_to_s3.rst
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Use SqlToS3Operator to copy data from a SQL server to an Amazon Simple Storage Service (S3) file.
SqlToS3Operator is compatible with any SQL connection as long as the SQL hook has function that
converts the SQL result to pandas dataframe <https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html>__
(e.g. MySQL, Hive, ...).
.. include:: ../_partials/prerequisite_tasks.rst
.. _howto/operator:SqlToS3Operator:
This example sends the response of a MySQL query to an Amazon S3 file.
To get more information about this operator visit:
:class:~airflow.providers.amazon.aws.transfers.sql_to_s3.SqlToS3Operator
Example usage:
.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_sql_to_s3.py :language: python :dedent: 4 :start-after: [START howto_transfer_sql_to_s3] :end-before: [END howto_transfer_sql_to_s3]
We can group the data in the table by passing the groupby_kwargs param. This param accepts a dict which will be passed to pandas groupby() <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html#pandas.DataFrame.groupby>_ as kwargs.
Example usage:
.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_sql_to_s3.py :language: python :dedent: 4 :start-after: [START howto_transfer_sql_to_s3_with_groupby_param] :end-before: [END howto_transfer_sql_to_s3_with_groupby_param]
AWS boto3 library documentation for Amazon S3 <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html>__