Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13778 yea, so whatever the data type is(python udt or normal sql type), at java side there is no difference, the data is converted to corrected format by pickler. That's why I think maybe it's possible to just pass the corresponding sql type of python udt to java side. My only concern is, sometimes we use the schema of java dataframe as the schema at python side. If we don't pass python udt to java side, the udt information will be lost. @viirya do you mind give it a try? thanks!
--- 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 infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org