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 <[email protected]>
Date: 2016-07-12T22:17:25Z
allow comparisons between UDTs and Datatypes
----
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