Brian Schaefer created SPARK-39832:
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Summary: regexp_replace should support column arguments
Key: SPARK-39832
URL: https://issues.apache.org/jira/browse/SPARK-39832
Project: Spark
Issue Type: Improvement
Components: PySpark
Affects Versions: 3.3.0
Reporter: Brian Schaefer
{{F.regexp_replace}} in PySpark currently only supports strings for the second
and third argument:
[https://github.com/apache/spark/blob/1df6006ea977ae3b8c53fe33630e277e8c1bc49c/python/pyspark/sql/functions.py#L3265]
In Scala, columns are also supported:
[https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L2836|https://github.com/apache/spark/blob/1df6006ea977ae3b8c53fe33630e277e8c1bc49c/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L2836]
The desire to use columns as arguments for the function has been raised
previously on StackExchange:
[https://stackoverflow.com/questions/64613761/in-pyspark-using-regexp-replace-how-to-replace-a-group-with-value-from-another|https://stackoverflow.com/questions/64613761/in-pyspark-using-regexp-replace-how-to-replace-a-group-with-value-from-another,],
where the suggested fix was to use {{{}F.expr{}}}.
It should be relatively straightforward to support in PySpark the two function
signatures supported in Scala.
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