[jira] [Created] (SPARK-32013) Support query execution before/after reading/writing over JDBC

["Noritaka Sekiyama (Jira)" <ji...@apache.org>]

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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