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From "Daniel (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-25870) RandomSplit with seed gives different results depending on column order
Date Tue, 30 Oct 2018 16:46:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-25870?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Daniel resolved SPARK-25870.
----------------------------
    Resolution: Not A Problem

> RandomSplit with seed gives different results depending on column order
> -----------------------------------------------------------------------
>
>                 Key: SPARK-25870
>                 URL: https://issues.apache.org/jira/browse/SPARK-25870
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.2
>            Reporter: Daniel
>            Priority: Minor
>   Original Estimate: 96h
>  Remaining Estimate: 96h
>
> Co-discovered by Zhihui Hong (zhong01@syr.edu):
> {{If you run the following example, the resulting dataframe will have different rows
even though the have the same seed:}}
> {{from pyspark.sql import SparkSession, functions as fn}}
> {{spark = SparkSession.builder.getOrCreate()}}{{ }}
> {{df = spark.range(0, 10).withColumn('r', (fn.rand()*10).cast('int'))}}
> {{# sample 1}}
> {{df.randomSplit([0.8, 0.2], seed=0)[0].show(5)}}{{ }}
> {{# sample 2}}
> {{df.select('r', 'id').randomSplit([0.8, 0.2], seed=0)[0].show(5)}}



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