Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/5842#discussion_r29546443
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/stat/StatFunctions.scala
---
@@ -77,4 +78,42 @@ private[sql] object StatFunctions {
})
counts.cov
}
+
+ /** Generate a table of frequencies for the elements of two columns. */
+ private[sql] def crossTabulate(df: DataFrame, col1: String, col2:
String): DataFrame = {
+ val tableName = s"${col1}_$col2"
+ val distinctCol2 =
df.select(col2).distinct.collect().sortBy(_.get(0).toString)
--- End diff --
I'm happy to implement it both ways. Check my first commit. If you both
think that's ok, or a combination of both ideas is better, I'd be happy to
implement it. I think my first implementation had two passes as well. I think
you might need two passes two pivot properly. Maybe we can do something
smarter. cc @mengxr
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
