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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2015/04/12 07:34:12 UTC
[jira] [Resolved] (SPARK-6677) pyspark.sql nondeterministic issue
with row fields
[ https://issues.apache.org/jira/browse/SPARK-6677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Josh Rosen resolved SPARK-6677.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.4.0
1.3.1
Issue resolved by pull request 5445
[https://github.com/apache/spark/pull/5445]
> pyspark.sql nondeterministic issue with row fields
> --------------------------------------------------
>
> Key: SPARK-6677
> URL: https://issues.apache.org/jira/browse/SPARK-6677
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.3.0
> Environment: spark version: spark-1.3.0-bin-hadoop2.4
> python version: Python 2.7.6
> operating system: MacOS, x86_64 x86_64 x86_64 GNU/Linux
> Reporter: Stefano Parmesan
> Assignee: Davies Liu
> Labels: pyspark, row, sql
> Fix For: 1.3.1, 1.4.0
>
>
> The following issue happens only when running pyspark in the python interpreter, it works correctly with spark-submit.
> Reading two json files containing objects with a different structure leads sometimes to the definition of wrong Rows, where the fields of a file are used for the other one.
> I was able to write a sample code that reproduce this issue one out of three times; the code snippet is available at the following link, together with some (very simple) data samples:
> https://gist.github.com/armisael/e08bb4567d0a11efe2db
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