[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user rvesse commented on the issue: https://github.com/apache/spark/pull/13599 @holdenk What we're doing in some of our products currently is that we require that users create their Python environments up front and that they be stored on a file system that is accessible to all physical nodes. This is partly for performance and partly because our compute nodes don't have external network connectivity. Then when we spin up containers we volume mount the appropriate file system into our containers and have logic in our entry point scripts that activates the relevant environment prior to starting Spark, Dask Distributed or whatever Python job we're actually launching. We're doing this with Spark standalone clusters currently but I expect much the same approach would work for Kubernetes and other resource managers. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13599 I'm interested in us fixing this, especially after yesterday when I spent several hours working with workaround hacks. But I want us to do something not YARN specific and not involve a large slow down on worker creation. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user gsemet commented on the issue: https://github.com/apache/spark/pull/13599 Hi. I think until we get a core developer really interested in packaging python dependencies correctly, this PR wonât evolve a lot --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user ifilonenko commented on the issue: https://github.com/apache/spark/pull/13599 Is there any work being done on this PR at this point in time? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/13599 @JoshRosen, I roughly heard that you took a look about this before. Do you have a concern to address maybe? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/13599 @holdenk and @zjffdu, I believe manual tests are a-okay if it's difficult to write a test. We can manually test and expose this as an experimental feature too. BTW, I believe we can still have some tests to check if, for example, at least the string is properly constructed - https://github.com/apache/spark/pull/13599/files#r175670974? I think that could be enough for now. Somehow I happened to look into this multiple times over few years and I think it's better to go ahead than just blocking here. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user zjffdu commented on the issue: https://github.com/apache/spark/pull/13599 Thanks for the interest on this PR and the info about `Pipfiles`. I think we could support that after this PR get merged so that we can provide users more options for virtualenv based on their enviroment. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user kokes commented on the issue: https://github.com/apache/spark/pull/13599 Hi, thanks for all the work on this! I see requirements.txt mentioned here and there and, browsing this and other JIRAs, it seems to be the proposed way to specify dependencies in PySpark. As you probably know, the community has rallied around [Pipfile](https://github.com/pypa/pipfile)s as a replacement for requirements.txt. This has a few upsides (including a lock file), the main one being that the reference implementation ([Pipenv](http://pipenv.org/)) allows for installing packages into a new virtualenv directly, without having to activate it or run other commands. So that combines dependency management, reproducibility, and environment isolation. (Also, if one doesn't want said packages to be installed in a venv, there's an argument to install them system-wide.) I'm not proposing this PR gets extended to support Pipfiles, I just wanted to ask if this has been considered and is on the roadmap, since it seems to be the successor to requirements.txt. (We stumbled upon this as we were thinking of moving to Kubernetes and didn't know how dependencies were handled there [they aren't, yet, see #21092]. We could install dependencies in our target Docker images using Pipfiles, but submitting a Pipfile with our individual jobs would be a much cleaner solution.) Thanks! --- - 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 #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
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[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13599 One point that I'm reminded of looking at this is the lack of tests for important functionality is probably not an acceptable solution. I understand testing this in Jenkins could be complicated but a test suite that requires a Yarn resource and is marked as skip for Jenkins usage would still be better than nothing. --- - 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 #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13599 Actually lets also loop in @ifilonenko who's been thinking about similar things but with more of a K8s bent. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13599: [SPARK-13587] [PYSPARK] Support virtualenv in pyspark
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/13599 It's certainly closer, I haven't had a chance to take a look super recently (been focused on the PySpark K8s integration). I'm still hesitant about this merged as-is from a skim through, but maybe at Spark Summit SF (or a hangout call the day after we can all schedule) this would make sense to try and get a better grasp on. Sorry I haven't had the time this month to take much of a look. --- - 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 gsemet commented on the issue: https://github.com/apache/spark/pull/13599 I would be glad to participate to this hangout as well :) --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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