[jira] [Assigned] (SPARK-47845) Support column type in split function in scala and python

["Ruifeng Zheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-47845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng reassigned SPARK-47845:
-------------------------------------

    Assignee: Liu Cao

> Support column type in split function in scala and python
> ---------------------------------------------------------
>
>                 Key: SPARK-47845
>                 URL: https://issues.apache.org/jira/browse/SPARK-47845
>             Project: Spark
>          Issue Type: New Feature
>          Components: Connect, Spark Core
>    Affects Versions: 3.5.1
>            Reporter: Liu Cao
>            Assignee: Liu Cao
>            Priority: Major
>              Labels: pull-request-available
>
> I have a use case to split a String typed column with different delimiters defined in other columns of the dataframe. SQL already supports this, but scala / python functions currently don't.
>  
> A hypothetical example to illustrate:
> {code:java}
> import org.apache.spark.sql.functions.{col, split}
> val example = spark.createDataFrame(
>     Seq(
>       ("Doe, John", ", ", 2),
>       ("Smith,Jane", ",", 2),
>       ("Johnson", ",", 1)
>     )
>   )
>   .toDF("name", "delim", "expected_parts_count")
> example.createOrReplaceTempView("test_data")
> // works for SQL
> spark.sql("SELECT split(name, delim, expected_parts_count) AS name_parts FROM test_data").show()
> // currently doesn't compile for scala, but easy to support
> example.withColumn("name_parts", split(col("name"), col("delim"), col("expected_parts_count"))).show() {code}
>  
> Pretty simple patch that I can make a PR soon



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org