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Posted to issues@spark.apache.org by "Nicolas Azrak (Jira)" <ji...@apache.org> on 2021/10/21 13:21:00 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=17432455#comment-17432455 ]
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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