[ https://issues.apache.org/jira/browse/SPARK-45611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-45611: ------------------------------------ Assignee: Mete Can Akar > 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 > 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]. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org