Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14340
So I would like to -1 this patch. I think it's been a mistake to support
dstream in Python -- yes it satisfies a checkbox and Spark could claim there's
support for streaming in Python. However, the tooling and maturity for working
with streaming data (both in Spark and the more broad ecosystem) is simply not
there. It is a big baggage to maintain, and creates a the wrong impression that
production streaming jobs can be written in Python.
---
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
