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Posted to issues@spark.apache.org by "Kousuke Saruta (Jira)" <ji...@apache.org> on 2021/11/02 01:54:00 UTC

[jira] [Resolved] (SPARK-36554) Error message while trying to use spark sql functions directly on dataframe columns without using select expression

     [ https://issues.apache.org/jira/browse/SPARK-36554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kousuke Saruta resolved SPARK-36554.
------------------------------------
    Fix Version/s: 3.3.0
         Assignee: Nicolas Azrak
       Resolution: Fixed

Issue resolved in https://github.com/apache/spark/pull/34356

> Error message while trying to use spark sql functions directly on dataframe columns without using select expression
> -------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-36554
>                 URL: https://issues.apache.org/jira/browse/SPARK-36554
>             Project: Spark
>          Issue Type: Bug
>          Components: Documentation, Examples, PySpark
>    Affects Versions: 3.1.1
>            Reporter: Lekshmi Ramachandran
>            Assignee: Nicolas Azrak
>            Priority: Minor
>              Labels: documentation, features, functions, spark-sql
>             Fix For: 3.3.0
>
>         Attachments: Screen Shot .png
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> The below code generates a dataframe successfully . Here make_date function is used inside a select expression
>  
> from pyspark.sql.functions import  expr, make_date
> df = spark.createDataFrame([(2020, 6, 26), (1000, 2, 29), (-44, 1, 1)],['Y', 'M', 'D'])
> df.select("*",expr("make_date(Y,M,D) as lk")).show()
>  
> The below code fails with a message "cannot import name 'make_date' from 'pyspark.sql.functions'" . Here the make_date function is directly called on dataframe columns without select expression
>  
> from pyspark.sql.functions import make_date
> df = spark.createDataFrame([(2020, 6, 26), (1000, 2, 29), (-44, 1, 1)],['Y', 'M', 'D'])
> df.select(make_date(df.Y,df.M,df.D).alias("datefield")).show()
>  
> The error message generated is misleading when it says "cannot  import make_date from pyspark.sql.functions"
>  



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