[
https://issues.apache.org/jira/browse/SPARK-11303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-11303:
------------------------------------
Assignee: (was: Apache Spark)
> sample (without replacement) + filter returns wrong results in DataFrame
> ------------------------------------------------------------------------
>
> Key: SPARK-11303
> URL: https://issues.apache.org/jira/browse/SPARK-11303
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Environment: pyspark local mode, linux.
> Reporter: Yuval Tanny
>
> When sampling and then filtering DataFrame from python, we get inconsistent
> result when not caching the sampled DataFrame. This bug doesn't appear in
> spark 1.4.1.
> d = sqlContext.createDataFrame(sc.parallelize([[1]] * 50 + [[2]] * 50),['t'])
> d_sampled = d.sample(False, 0.1, 1)
> print d_sampled.count()
> print d_sampled.filter('t = 1').count()
> print d_sampled.filter('t != 1').count()
> d_sampled.cache()
> print d_sampled.count()
> print d_sampled.filter('t = 1').count()
> print d_sampled.filter('t != 1').count()
> output:
> 14
> 7
> 8
> 14
> 7
> 7
> Thanks!
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
