[
https://issues.apache.org/jira/browse/SPARK-26393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-26393.
----------------------------------
Resolution: Won't Fix
> Different behaviors of date_add when calling it inside expr
> -----------------------------------------------------------
>
> Key: SPARK-26393
> URL: https://issues.apache.org/jira/browse/SPARK-26393
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.2
> Reporter: Ahmed Kamal
> Priority: Minor
>
> When Calling date_add from pyspark.sql.functions directly without using expr,
> like this :
> {code:java}
> df.withColumn("added", F.date_add(F.to_date(F.lit('1998-9-26')),
> F.col('days'))).toPandas(){code}
> It will raise Error : `TypeError: Column is not iterable`
> because it only taking a number not a column
> but when i try to use it inside an expr, like this :
> {code:java}
> df.withColumn("added", F.expr("date_add(to_date('1998-9-26'),
> days)")).toPandas(){code}
> It will work fine.
> Shouldn't it behave the same way ?
> and i think its logical to accept a column here as well.
> A python Notebook to demonstrate :
> [https://gist.github.com/AhmedKamal20/fec10337e815baa44f115d307e3b07eb]
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
