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https://issues.apache.org/jira/browse/SPARK-6677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14487010#comment-14487010
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Stefano Parmesan commented on SPARK-6677:
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Uhm, don't know what to say. Let's try with this: I've created a docker that
reproduces the issue, its available here:
https://github.com/armisael/SPARK-6677
I tested it on three different machines, and the issue appeared on all of them.
Can you give it a try?
> 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
>
> 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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