[jira] [Updated] (SPARK-45611) spark.python.pyspark.sql.functions Typo at date_format Function

["Mete Can Akar (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-45611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mete Can Akar updated SPARK-45611:
----------------------------------
    Description: 
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".}}

{{
{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].{{{{}}{}}}{{{{}}{}}}

  was:
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".}}

{{}}

As a solution, I proposed the PR 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
>            Priority: Minor
>
> 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".}}
> {{
> {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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