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https://issues.apache.org/jira/browse/SPARK-36801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Senthil Kumar updated SPARK-36801:
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Description:
Reading using Spark SQL jdbc DataSource does not maintain nullable type and
changes "non nullable" columns to "nullable".
So we need to add a note, in Documentation[1], "All columns are automatically
converted to be nullable for compatibility reasons."
[1
]https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html#jdbc-to-other-databases
was:
Reading using Spark SQL jdbc DataSource does not maintain nullable type and
changes "non nullable" columns to "nullable".
So we need to add a note, in Documentation[1], "{color:#a9b7c6}All columns are
automatically converted to be nullable for compatibility reasons.{color}"
[1
]https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html#jdbc-to-other-databases
> Document change for Spark sql jdbc
> ----------------------------------
>
> Key: SPARK-36801
> URL: https://issues.apache.org/jira/browse/SPARK-36801
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 3.0.0, 3.0.2, 3.0.3, 3.1.0, 3.1.1, 3.1.2
> Reporter: Senthil Kumar
> Priority: Trivial
>
> Reading using Spark SQL jdbc DataSource does not maintain nullable type and
> changes "non nullable" columns to "nullable".
> So we need to add a note, in Documentation[1], "All columns are automatically
> converted to be nullable for compatibility reasons."
>
> [1
> ]https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html#jdbc-to-other-databases
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