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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/10/27 10:51:27 UTC
[jira] [Updated] (SPARK-11303) sample (without replacement) +
filter returns wrong results in DataFrame
[ https://issues.apache.org/jira/browse/SPARK-11303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust updated SPARK-11303:
-------------------------------------
Description:
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.
{code}
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()
{code}
output:
{code}
14
7
8
14
7
7
{code}
was:
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!
> 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.
> {code}
> 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()
> {code}
> output:
> {code}
> 14
> 7
> 8
> 14
> 7
> 7
> {code}
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