[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 This was discussed way before RC1 was cut. Not adding this to 2.4 makes the timeline for this API to be out way too long in the future, and we want people to try it out. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22192 why do we merge a new API to branch-2.4, when RC1 is already out? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 merging to master / 2.4. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 LGTM. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 retest this please --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 Hi, just want to follow up on this and see if anyone has additional comments/questions/issues. Please feel free to ping me and I'll respond as soon as I can! --- - 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 #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/22192 Jenkins, retest this please --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user bersprockets commented on the issue: https://github.com/apache/spark/pull/22192 retest this please. It's that old "java.lang.reflect.InvocationTargetException: null" error we've seen many times. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 I feel like it should be unrelated as well. It's strange that I failed tests in the same suite twice in a row, and that no other recent build has failed that suite, but I tried running locally on a mac and a linux vm and couldn't reproduce it so...fingers crossed --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user squito commented on the issue: https://github.com/apache/spark/pull/22192 retest this please. I took a look at the failures, pretty certain its unrelated, and I filed https://issues.apache.org/jira/browse/SPARK-25400 to increase the timeouts in one of those failures. --- - 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 #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 Logs suddenly cut off again without any exceptions, don't think this one is a code error as well. Could someone retest this please? --- - 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 vanzin commented on the issue: https://github.com/apache/spark/pull/22192 it's ok to keep them in the same suite where they are used. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 If I want to add more testing plugins (i.e. to test that a plugin failing to shut down doesn't affect other plugins), is it stylistically ok for me to keep throwing them at the bottom of ExecutorPluginSuite? Or should I make a separate file (or multiple) for them? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 ^This commit is to show what that looks like. I'm still looking into how to properly barrier the plugins after calling `init` from a new thread (since `join`ing the thread requires the thread to die first, at which point it can no longer listen for executor `stop`ing) --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
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[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 I tested @vanzin's suggestion of storing the classloader, changing it to replClassLoader, and changing back after init (and then changing again for shutdown). It's working well (and this time I made sure it doesn't just shut down immediately; I ran on a cluster and confirmed it runs the init code and creates a thread, the thread stays alive for the duration of the executor, and the shutdown code runs fully before exiting). While it looks a little weird, the code is synchronous and shouldn't run into an issue with the classloader being set to something it shouldn't be set to while executing the existing Spark code, and ensures the plugins initialize fully during executor initialization. --- - 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 #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 @mridulm I'm inclined to agree. I was doing some extra testing on separate thread and it seems to be performing well. I'll push this shortly. I'm going to also test setting the class loader and then changing back, since I'll always be partial towards synchronous operations, but separate thread is certainly seeming like a good policy given the pyspark failures. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user mridulm commented on the issue: https://github.com/apache/spark/pull/22192 @vanzin @NiharS I am uncomfortable with that change as well - which is why I wanted the initialization to be pushed into a separate thread (and then join) - if we really need to set the context classloader. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 > It seems like the line Thread.currentThread().setContextClassLoader(replClassLoader) is causing the pyspark failures What if you restore the original class loader after initializing the plugins? I was a little worried about this call, but was waiting for tests... so if it's causing problems, better to not change the way things work there. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 > I'll change the config documentation to specify YARN only, hopefully it's not a huge issue. I don't think you're really understanding what I'm saying above. I'm not saying this feature only works with YARN. I'm saying that distributing the plugins with `--jars` only works with YARN. And that if there was user-documentation for this feature - which there isn't - then it would have to explain how the jar is expected to be made available to the executors. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 I'll change the config documentation to specify YARN only, hopefully it's not a huge issue. It seems like the line `Thread.currentThread().setContextClassLoader(replClassLoader)` is causing the pyspark failures, they pass when I remove it. I'm looking at the test cases but I really don't see how this is affecting them...it seems that in both test cases, the DStreams monitor a directory but don't pick up the changes they're supposed to, and just time out. I checked that I can bypass this issue by changing back to having the plugins loaded on a separate thread (and setting that thread's contextClassLoader instead of the current thread) and it passes tests and continues to work. That said this issue does seem to be indicative of some problem in pyspark streaming --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/22192 > I'm looking up other spark-submit options that can be used to provide the jar to other nodes I don't think there is anything like that currently; so using `--jars` for this will only work in YARN mode. But that can be just a documentation thingy, when/if this feature is documented. (It may work with kubernetes too but haven't really tried that out since 2.3.) --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 You're right, I ran in local-cluster and it exited very quickly citing executors shutting down after not being able to find my test plugin. Although, the logs say that it does use a CoarseGrainedExecutorBackend: `18/09/05 12:03:20 INFO CoarseGrainedExecutorBackend: Connecting to driver: spark://CoarseGrainedScheduler@nihar-xxx:45767` unless you mean Yarn only uses that one command line option. I'm looking into how it reacts in regular standalone mode with different thread counts. Thanks for pointing this out! I'm looking up other spark-submit options that can be used to provide the jar to other nodes, but I'm not super hopeful it's going to work out. If it indeed doesn't, I'll start exploring other options once I figure out why the pyspark tests are failing --- - 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 NiharS commented on the issue: https://github.com/apache/spark/pull/22192 I believe this is another glitch, not from my changes. Could someone retest this please? --- - 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 NiharS commented on the issue: https://github.com/apache/spark/pull/22192 Tried on a different machine and those tests pass, here's hoping --- - 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 NiharS commented on the issue: https://github.com/apache/spark/pull/22192 These tests are failing locally for me, both with my code and without on a clean pull of master --- - 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 #22192: [SPARK-24918][Core] Executor Plugin API
Github user NiharS commented on the issue: https://github.com/apache/spark/pull/22192 Can't be a coincidence...it's failing two pyspark streaming tests, test_binary_records_stream and test_text_file_stream (same two earlier, I misanalyzed it when I said it was ML stuff). I'm running them locally to try to reproduce, though not sure how they relate to my changes. Nonetheless other PRs are building fine right now so it must be something in my changes. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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