[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 So @rxin just commented with an explicit "Won't Fix" on the JIRA. @zero323 certainly Jython can be slow, but as the benchmark shows it can be much faster than our current Python UDF approach. @davies Some people have been actively using it in a similar use case (Python UDFs with Pig) (as @zero323 mentions). I'd rather try and find a way to expose this as a experimental API - but if the consesus is "Won't Fix" I'll put this on my back burner of things to contribute as a Spark Package (although the cost of maintaining Spark Packages is frustrating so I'll also take a look at adding it to one of the meta packages like Bahir if there is interest there). In the meantime I'll do some poking with arrow and also looking at pip install-ability since these seem to be of importance to much of the PySpark community. --- 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
[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/13571 @davies Jython is relatively mature and it has some applications (think about Python UDFs with PIg) but it doesn't change the fact that it is years behind CPython (no released 3.x branch for starters), slowish and painful to use. Not to mention that for native libraries you need JyNI which is still in alpha. Moreover reasoning about PySpark dataflow is hard enough right now without adding another place where things can blow. --- 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
[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
Github user davies commented on the issue: https://github.com/apache/spark/pull/13571 Thanks for the prototype and sending the PR out, this looks interesting. I don't know how mature Jython currently is, never heard a company who use it. The last release took to years from beta to release, maybe that's a signal that the community behind Jython is not that active. The license Jython use is unique, I don't know whether it is OK to package with Spark or not. Also the standalone jar is 37M, that's pretty big for a experimental feature. This PR also introduce a public API, even we mark it as experimental, it still require some effort to maintain it even deprecate and remove it. I'm sure it's worth or not. We could leave the JIRA and PR open to gather more feedback, it could be useful in case that some people want to try it out. --- 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
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Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 Ping @yanboliang & @davies for thoughts --- 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
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Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 I've been thinking - I could change this so that the Jython jar is marked as provided and add a flag to Spark Submit to include Jython for people that want to use it (along with a check inside of registerJython which tells people about the flag) if we are concerned about adding hard dependency on Jython (but I'm not sure what peoples thoughts are on taking on that dependency) - cc @davies & @yanboliang --- 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
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Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 Now that 2.0 is in the final RC would maybe @davies have a chance to take a look and see if this is something that would be interesting? --- 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
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 jenkins, retest this please. --- 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
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13571 So this is a WIP of what this could look like, but I'd really like your thoughts on the draft @davies - do you think this is heading in the right direction given the performance #s from the benchmark? --- 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
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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[GitHub] spark issue #13571: [SPARK-15369][WIP][RFC][PySpark][SQL] Expose potential t...
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