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https://issues.apache.org/jira/browse/SPARK-36554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17432455#comment-17432455
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Nicolas Azrak commented on SPARK-36554:
---------------------------------------
Hi [~lekshmiii] [~hyukjin.kwon] I've created
[https://github.com/apache/spark/pull/34356] to fix this. It's my first PR, can
I get a review?
> 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
> Priority: Minor
> Labels: documentation, features, functions, spark-sql
> 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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