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https://issues.apache.org/jira/browse/SPARK-23852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16423491#comment-16423491
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Henry Robinson commented on SPARK-23852:
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Partly, but not completely. If the column is dictionary encoded, the filters
are applied to the dictionary as well at the row-group level. See
[RowGroupFilter|https://github.com/apache/parquet-mr/blob/master/parquet-hadoop/src/main/java/org/apache/parquet/filter2/compat/RowGroupFilter.java#L92].
> Parquet MR bug can lead to incorrect SQL results
> ------------------------------------------------
>
> Key: SPARK-23852
> URL: https://issues.apache.org/jira/browse/SPARK-23852
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Henry Robinson
> Priority: Blocker
> Labels: correctness
>
> Parquet MR 1.9.0 and 1.8.2 both have a bug, PARQUET-1217, that means that
> pushing certain predicates to Parquet scanners can return fewer results than
> they should.
> The bug triggers in Spark when:
> * The Parquet file being scanner has stats for the null count, but not the
> max or min on the column with the predicate (Apache Impala writes files like
> this).
> * The vectorized Parquet reader path is not taken, and the parquet-mr reader
> is used.
> * A suitable <, <=, > or >= predicate is pushed down to Parquet.
> The bug is that the parquet-mr interprets the max and min of a row-group's
> column as 0 in the absence of stats. So {{col > 0}} will filter all results,
> even if some are > 0.
> There is no upstream release of Parquet that contains the fix for
> PARQUET-1217, although a 1.10 release is planned.
> The least impactful workaround is to set the Parquet configuration
> {{parquet.filter.stats.enabled}} to {{false}}.
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