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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/06/30 08:18:00 UTC

[jira] [Updated] (SPARK-21264) Omitting columns with 'how' specified in join in PySpark throws NPE

     [ https://issues.apache.org/jira/browse/SPARK-21264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-21264:
---------------------------------
    Summary: Omitting columns with 'how' specified in join in PySpark throws NPE  (was: Omitting columns in join in PySpark throws NPE)

> Omitting columns with 'how' specified in join in PySpark throws NPE
> -------------------------------------------------------------------
>
>                 Key: SPARK-21264
>                 URL: https://issues.apache.org/jira/browse/SPARK-21264
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.1.0, 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> {code}
> >>> spark.conf.set("spark.sql.crossJoin.enabled", "false")
> >>> spark.range(1).join(spark.range(1), how="inner").show()
> Traceback (most recent call last):
> ...
> py4j.protocol.Py4JJavaError: An error occurred while calling o66.join.
> : java.lang.NullPointerException
> 	at org.apache.spark.sql.Dataset.join(Dataset.scala:931)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> ...
> >>> spark.conf.set("spark.sql.crossJoin.enabled", "true")
> >>> spark.range(1).join(spark.range(1), how="inner").show()
> ...
> py4j.protocol.Py4JJavaError: An error occurred while calling o84.join.
> : java.lang.NullPointerException
> 	at org.apache.spark.sql.Dataset.join(Dataset.scala:931)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> ...
> {code}
> Omitting columns as above throws an exception.
> This works in 2.0.2:
> {code}
> Welcome to
>       ____              __
>      / __/__  ___ _____/ /__
>     _\ \/ _ \/ _ `/ __/  '_/
>    /__ / .__/\_,_/_/ /_/\_\   version 2.0.2
>       /_/
> Using Python version 2.7.10 (default, Jul 30 2016 19:40:32)
> SparkSession available as 'spark'.
> >>> spark.range(1).join(spark.range(1), how="inner").show()
> +---+---+
> | id| id|
> +---+---+
> |  0|  0|
> +---+---+
> {code}
> but looks not from Spark 2.1.0.
> It sounds a trivial small regression:



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