Is there any guidance available to use Google Cloud SQL as a Dataflow read source and/or sink?
At the Apache Beam Python SDK 2.1.0 documentation there isn't a chapter mentioning Google Cloud SQL. But there is written about BigQuery.
And as I read tutorial Performing ETL from a Relational Database into BigQuery, I saw that they used exported data to file as a source in the process. That means there has to be an export step in between and that't not ideal.
Are there specific issues you need to take care of when using Cloud SQL in specific? For both source as sink?
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