CTCC1 opened a new pull request, #46045:
URL: https://github.com/apache/spark/pull/46045
### What changes were proposed in this pull request?
Support column type in `split` function for scala and python. SQL already
supports this, but scala / python functions currently don't.
A hypothetical example to illustrate:
```
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 will be supported after this PR
example.withColumn("name_parts", split(col("name"), col("delim"),
col("expected_parts_count"))).show()
```
### Why are the changes needed?
I have a use case to split a String typed column with different delimiters
defined in other columns of the Dataframe.
But also following this guidance:
https://github.com/apache/spark/blob/85c4f053f25a7f20546600e179a7303a4409834f/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L59-L61
### Does this PR introduce _any_ user-facing change?
Yes, new feature (via function overloading).
### How was this patch tested?
Added unit tests with column input type to scala functions - both core and
connect.
### Was this patch authored or co-authored using generative AI tooling?
No.
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