GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/14164
Allow comparisons between UDTs and Datatypes ## What changes were proposed in this pull request? Currently UDTs can not be compared to Datatypes even if their sqlTypes match. this leads to errors like this ``` In [12]: thresholded = df.filter(df['udt_time'] > threshold) --------------------------------------------------------------------------- AnalysisException Traceback (most recent call last) /Users/franklyndsouza/dev/starscream/bin/starscream in <module>() ----> 1 thresholded = df.filter(df['tick_tock_est'] > threshold) AnalysisException: u"cannot resolve '(`tick_tock_est` > TIMESTAMP('2015-10-20 01:00:00.0'))' due to data typ mismatch: '(`tick_tock_est` > TIMESTAMP('2015-10-20 01:00:00.0'))' requires (boolean or tinyint or smallint or int or bigint or float or double or decimal or timestamp or date or string or binary) type, not pythonuserdefined" ``` This PR adds some comparisons that allow UDTs to be correctly compared to a Datatype. ## How was this patch tested? Built locally and tested in the pyspark repl. You can merge this pull request into a Git repository by running: $ git pull https://github.com/damnMeddlingKid/spark fix-df-filtering Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/14164.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #14164 ---- commit d0d31ca18c49fd24476d8b7291cb16d5f346ee6e Author: Franklyn D'souza <frankl...@gmail.com> Date: 2016-07-12T22:17:25Z allow comparisons between UDTs and Datatypes ---- --- 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