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https://issues.apache.org/jira/browse/SPARK-48555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-48555:
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Labels: pull-request-available (was: )
> Support Column type for several SQL functions in scala and python
> -----------------------------------------------------------------
>
> Key: SPARK-48555
> URL: https://issues.apache.org/jira/browse/SPARK-48555
> Project: Spark
> Issue Type: New Feature
> Components: Connect, PySpark, Spark Core
> Affects Versions: 3.5.1
> Reporter: Ron Serruya
> Priority: Major
> Labels: pull-request-available
>
> Currently, several SQL functions accept both native types and Columns, but
> only accept native types in their scala/python APIs:
> * array_remove (works in SQL, scala, not in python)
> * array_position(works in SQL, scala, not in python)
> * map_contains_key (works in SQL, scala, not in python)
> * substring (works only in SQL)
> For example, this is possible in SQL:
> {code:python}
> spark.sql("select array_remove(col1, col2) from values(array(1,2,3), 2)")
> {code}
> But not in python:
> {code:python}
> df.select(F.array_remove(F.col("col1"), F.col("col2"))
> {code}
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