Noritaka Sekiyama created SPARK-32013:
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Summary: Support query execution before/after reading/writing over
JDBC
Key: SPARK-32013
URL: https://issues.apache.org/jira/browse/SPARK-32013
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.0.0
Reporter: Noritaka Sekiyama
For ETL workload, there is a common requirement to perform SQL statement
before/after reading/writing over JDBC.
Here's examples;
- Create a view with specific conditions
- Delete/Update some records
- Truncate a table (it is already possible in `truncate` option)
- Execute stored procedure
Currently `query` options is available to specify SQL statement against JDBC
datasource when loading data as DataFrame.
https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html
However, this query is only for reading data, and it does not support the
common examples listed above.
If Spark can support executing SQL statement against JDBC datasources
before/after reading/writing over JDBC, it can cover a lot of common use-cases.
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