You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/20 18:03:20 UTC
[jira] [Assigned] (SPARK-16651) No exception using
DataFrame.withColumnRenamed when existing column doesn't exist
[ https://issues.apache.org/jira/browse/SPARK-16651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16651:
------------------------------------
Assignee: (was: Apache Spark)
> No exception using DataFrame.withColumnRenamed when existing column doesn't exist
> ---------------------------------------------------------------------------------
>
> Key: SPARK-16651
> URL: https://issues.apache.org/jira/browse/SPARK-16651
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.5.0
> Reporter: Tom Phillips
>
> The {{withColumnRenamed}} method does not raise an exception when the existing column does not exist in the dataframe.
> Example:
> {code}
> In [4]: df.show()
> +---+-----+
> |age| name|
> +---+-----+
> | 1|Alice|
> +---+-----+
> In [5]: df = df.withColumnRenamed('dob', 'date_of_birth')
> In [6]: df.show()
> +---+-----+
> |age| name|
> +---+-----+
> | 1|Alice|
> +---+-----+
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org