GitHub user justinuang opened a pull request:
https://github.com/apache/spark/pull/8662
[SPARK-8632] [SQL] [PYSPARK] Poor Python UDF performance because of Râ¦
â¦DD caching
- I wanted to reuse most of the logic from PythonRDD, so I pulled out
two methods, writeHeaderToStream and readPythonProcessSocket
- The worker.py now has a switch where it reads an int that either tells
it to go into normal pyspark RDD mode, which is meant for a streaming
two thread workflow, and pyspark UDF mode, which is meant to be called
synchronously
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/justinuang/spark feature/pyspark_udf
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8662.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 #8662
----
commit af5254b0fd4a11696f248d148c650f157496af6e
Author: Justin Uang <ju...@palantir.com>
Date: 2015-09-08T04:23:14Z
[SPARK-8632] [SQL] [PYSPARK] Poor Python UDF performance because of RDD
caching
- I wanted to reuse most of the logic from PythonRDD, so I pulled out
two methods, writeHeaderToStream and readPythonProcessSocket
- The worker.py now has a switch where it reads an int that either tells
it to go into normal pyspark RDD mode, which is meant for a streaming
two thread workflow, and pyspark UDF mode, which is meant to be called
synchronously
----
---
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
