You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2018/05/14 21:22:00 UTC
[jira] [Updated] (SPARK-23852) Parquet MR bug can lead to incorrect
SQL results
[ https://issues.apache.org/jira/browse/SPARK-23852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin updated SPARK-23852:
-----------------------------------
Fix Version/s: 2.3.1
> 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
> Assignee: Ryan Blue
> Priority: Blocker
> Labels: correctness
> Fix For: 2.3.1, 2.4.0
>
>
> 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}}.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org