[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/15370 +1 --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/15370 Ah you are right, sorry I totally missed that this is purely a sorting problem. I was thinking the %05d was causing an issue but it doesn't. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user dhruve commented on the issue: https://github.com/apache/spark/pull/15370 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
[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
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[GitHub] spark issue #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user dhruve commented on the issue: https://github.com/apache/spark/pull/15370 We can do this without the formatter as well. The issue was lying around with sorting the file names as string and fixing that will solve the problem. That ways if we have more than 10 files, it would still be able to parse it correctly. I will push the changes shortly. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user srowen commented on the issue: https://github.com/apache/spark/pull/15370 The central problem with the formatter is just that it doesn't output padding, and I don't see a reason to make the lexical ordering no longer match numerical, as it does now. You can make it output padding, but then we just have exactly the behavior given by three simple characters in a format string. It seems appealing to centralize this, but it's yet another random utility method in a heavily-overloaded class, adds a small redirection, and isn't thread-safe even. This seems like more than enough reason. Merely adjusting the format pattern seems correct and simple, if indeed there's no need to look for 5-digit file names. That should be true of checkpoint files. I'm not sure about the others and therefore not as clear that change should be made here. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/15370 If you still believe this to complex can you please clarify why so we can discuss. This is basically 5 lines of code (yes lines of code aren't good complexity indicator but..), 3 of them to create the formatter, one to change the sort to ignore prefix and one to actually use the formatter which defaults to same behavior as before. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/15370 I don't consider this complex, its simply one number formatter and you say get. Padding to 10 digits isn't necessary in 99% of the cases, so you are just using longer file strings and more digits if its always 10. Also if you use the number formatter in the other cases you don't have to worry about breaking backwards compatibility. It still uses 5 digits up until you would really need. I think we should leave this as number formatter. I also think if we are using it for all the part file formatting leaving in utils makes sense. We could rename it slightly to make it more apparent about its usage. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user srowen commented on the issue: https://github.com/apache/spark/pull/15370 Yeah, the name should be zero-padded to 10 digits to make the lexical ordering match the intended ordering. It may not matter, but seems a bit safer. OK right the code path doesn't just list a dir for files and it tries to reconstruct it. Well, in that case, I think I'd vote for not trying to be 'compatible' here. It should assume the new 10-digit-padded name, or else this is going to add complexity and overhead in several places, checking for two possible files. As for the other related changes, I tend to like the idea of making these similar changes to other outputs, but I'm not as clear about the implications of that and how they're read. Those outputs would be used across versions. At least, we'd have to make sure the lexical ordering stays correct. I'm inclined to leave it if it's not a problem but am not sure. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user dhruve commented on the issue: https://github.com/apache/spark/pull/15370 If we assume file name of the form "part-[0-9]+" * Case 1: *Entire RDD* => Verification of file name while reconstructing would be satisfied as we read all the checkpointed part files. * Case 2: *Specific Partition* => While trying to reconstruct a specific partition, this information would be insufficient to locate the actual part file. See `getPreferredLocations ` Should the filename be hdfs:////.../part-1 or part-01 or part-...1? Also, with the NumberFormat impl, files continue to be named upto 5 digits by default. Only when you exceed 10 it starts with 6 digits, 7 digits and so on. This takes care of the old format as well and handles the case exceeding the current limit. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user dhruve commented on the issue: https://github.com/apache/spark/pull/15370 Using the NumberFormat will simplify the case and address both types. --- 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 #15370: [SPARK-17417][Core] Fix # of partitions for Reliable RDD...
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/15370 How about instead of harding this to 5 or 10 digits we use java.text.NumberFormat, set the minimum to 5 digits but it allows going over. This way its automatically handles backwards compatible and will handle bigger numbers. We would have to change anywhere that is expecting exactly 5 digits but I haven't seen any code --- 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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