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https://issues.apache.org/jira/browse/SPARK-45611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-45611.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43442
[https://github.com/apache/spark/pull/43442]
> spark.python.pyspark.sql.functions Typo at date_format Function
> ---------------------------------------------------------------
>
> Key: SPARK-45611
> URL: https://issues.apache.org/jira/browse/SPARK-45611
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.5.0
> Reporter: Mete Can Akar
> Assignee: Mete Can Akar
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.0.0
>
> Attachments: image-2023-10-19-19-46-22-918.png
>
>
> In the spark.python.pyspark.sql.functions module, at the {{date_format}}
> method's doctest, there is a typo in the year format.
> Instead of '{{{}MM/dd/yyy'{}}}, it should be {{'MM/dd/yyyy'}} as the expected
> output{{{}[Row(date='04/08/2015')]{}}} indicates the following format
> {{"MM/dd/yyyy".}}
>
> From the official documentation:
> !image-2023-10-19-19-46-22-918.png|width=633,height=365!
> {code:java}
> df = spark.createDataFrame([('2015-04-08',)], ['dt'])
> df.select(date_format('dt', 'MM/dd/yyy').alias('date')).collect()
> [Row(date='04/08/2015')]
> {code}
>
> As a solution, I proposed the PR [https://github.com/apache/spark/pull/43442].
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