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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/02 11:32:18 UTC

[jira] [Commented] (SPARK-8038) PySpark SQL when functions is broken on Column

    [ https://issues.apache.org/jira/browse/SPARK-8038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14568836#comment-14568836 ] 

Apache Spark commented on SPARK-8038:
-------------------------------------

User 'ogirardot' has created a pull request for this issue:
https://github.com/apache/spark/pull/6580

> PySpark SQL when functions is broken on Column
> ----------------------------------------------
>
>                 Key: SPARK-8038
>                 URL: https://issues.apache.org/jira/browse/SPARK-8038
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 1.4.0
>         Environment: Spark 1.4.0 RC3
>            Reporter: Olivier Girardot
>            Priority: Blocker
>
> {code}
> In [1]: df = sqlCtx.createDataFrame([(1, "1"), (2, "2"), (1, "2"), (1, "2")], ["key", "value"])
> In [2]: from pyspark.sql import functions as F
> In [8]: df.select(df.key, F.when(df.key > 1, 0).when(df.key == 0, 2).otherwise(1)).show()
> +---+---------------------------------+
> | key |CASE WHEN (key = 0) THEN 2 ELSE 1|
> +---+---------------------------------+
> | 1| 1|
> | 2| 1|
> | 1| 1|
> | 1| 1|
> +---+---------------------------------+
> {code}
> When in Scala I get the expected expression and behaviour : 
> {code}
> scala> val df = sqlContext.createDataFrame(List((1, "1"), (2, "2"), (1, "2"), (1, "2"))).toDF("key", "value")
> scala> import org.apache.spark.sql.functions._
> scala> df.select(df("key"), when(df("key") > 1, 0).when(df("key") === 2, 2).otherwise(1)).show()
> +---+-------------------------------------------------------+
> |key|CASE WHEN (key > 1) THEN 0 WHEN (key = 2) THEN 2 ELSE 1|
> +---+-------------------------------------------------------+
> | 1| 1|
> | 2| 0|
> | 1| 1|
> | 1| 1|
> +---+-------------------------------------------------------+
> {code}
> This is coming from the "column.py" file with the Column class definition of **when** and the fix is coming.



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