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https://issues.apache.org/jira/browse/SPARK-22548?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16257839#comment-16257839
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Apache Spark commented on SPARK-22548:
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User 'jliwork' has created a pull request for this issue:
https://github.com/apache/spark/pull/19776
> Incorrect nested AND expression pushed down to JDBC data source
> ---------------------------------------------------------------
>
> Key: SPARK-22548
> URL: https://issues.apache.org/jira/browse/SPARK-22548
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Jia Li
>
> Let’s say I have a JDBC data source table ‘foobar’ with 3 rows:
> NAME THEID
> ==================
> fred 1
> mary 2
> joe 'foo' "bar" 3
> This query returns incorrect result.
> SELECT * FROM foobar WHERE (THEID > 0 AND TRIM(NAME) = 'mary') OR (NAME =
> 'fred')
> It’s supposed to return:
> fred 1
> mary 2
> But it returns
> fred 1
> mary 2
> joe 'foo' "bar" 3
> This is because one leg of the nested AND predicate, TRIM(NAME) = 'mary’, can
> not be pushed down but is lost during JDBC push down filter translation. The
> same translation method is also called by Data Source V2. I have a fix for
> this issue and will open a PR.
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