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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:03:09 UTC
[jira] [Updated] (SPARK-19648) Unable to access column containing
'.' for approxQuantile function on DataFrame
[ https://issues.apache.org/jira/browse/SPARK-19648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-19648:
---------------------------------
Labels: bulk-closed (was: )
> Unable to access column containing '.' for approxQuantile function on DataFrame
> -------------------------------------------------------------------------------
>
> Key: SPARK-19648
> URL: https://issues.apache.org/jira/browse/SPARK-19648
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 2.0.2, 2.1.0
> Environment: Running spark in an ipython prompt on Mac OSX.
> Reporter: John Compitello
> Priority: Major
> Labels: bulk-closed
>
> It seems that the approx quantiles method does not offer any way to access a column with a period in string name. I am aware of the backtick solution, but it does not work in this scenario.
> For example, let's say I have a column named 'va.x'. Passing approx quantiles this string without backticks results in the following error:
> 'Cannot resolve column name '`va.x`' given input columns: ........'
> Note that backticks seem to have been automatically inserted, but it cannot find column name regardless.
> If I do include backticks, I get a different error. An IllegalArgumentException is thrown as follows:
> "IllegalArgumentException: 'Field "`va.x`" does not exist."
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