[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 thanks, merging to master! --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/13909 I updated the benchmark result and generated code. FYI: Since I update the benchmark result once with `UnsafeBufferWrite`, the performance is almost same. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/13909 LGTM BTW, @kiszk have you updated the benchmark with newest change, especially after the UnsafeArrayData change? --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 yea we should! thanks for pointing this 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
[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/13909 @cloud-fan I rethought after changing `allowNull` to `isMapKey`, and finally I see what you said. And we should revert the error message changes 4a0409a, right? --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
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[GitHub] spark issue #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/13909 I see, I agree that we shouldn't block this pr. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 Well I don't think we should waste time arguing this minor problem and block this PR, how about we revert it and send a new PR to add it? --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 I think the validation logic should be consistent across the system, you can't add the null check in `CreateArray` just because it's easy to do. Currently we do null check based on `nullable` property only at source side and we should follow it. And the previous code doesn't have null check either. BTW, this change has external influence, the error message for null map key has been changed. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/13909 @cloud-fan Hmm, I didn't mean we don't trust the source side. Currently we DO validate the null regardless of `allowNull` value. The difference by the `allowNull` is setting null or throwing an exception. I think which we should do when `containsNull == false` is throwing an exception. (Anyway, `eval.isNull` of most of children will be `"false"` when `nullable == false`, so Janino will remove the `$isNullAssignment` clause. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 @ueshin That will be a big mess if we validate the null here and there, I think we should only do it at the source side. If we do not trust the source side, there are a lot of other places that need to add validation logic. --- 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 ueshin commented on the issue: https://github.com/apache/spark/pull/13909 @cloud-fan Hmm, I agree that it's guaranteed by the source, but I thought that's why we should use `containsNull` for `allowNull` to guarantee the value will not be null when `containsNull == false` in this array for the caller of this expression. ditto for `CreateMap`. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 > Should use dataType.containsNull for allowNull? no we shouldn't, `containsNull` is kind of an optimizing hint that guarantees the value will not be null, and it's guaranteed by the source, not here in `CreateArray`. --- 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 cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 LGTM, pending jenkins --- 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 viirya commented on the issue: https://github.com/apache/spark/pull/13909 LGTM except for few minor comments. --- 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 cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 LGTM, I left some comments about code style, thanks for working on it! BTW, can you update the benchmark result? I think we have finalized the solution now. --- 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 kiszk commented on the issue: https://github.com/apache/spark/pull/13909 @cloud-fan thank you for your comments. I implemented to create `UnsafeArrayData` using `UnsafeRow`. I hope that this makes the creation simpler. --- 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 #13909: [SPARK-16213][SQL] Reduce runtime overhead of a program ...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13909 sorry for the delay. Yea looks like we can't reuse the byte array of unsafe data in expressions, which may get cached expectedly and leads to wrong result. I'm a little concerned about the hacks in `BufferHolder` and the array writer. The code is so coupled with unsafe row writer and we have to hack it so that we can write unsafe array directly. What if we actually write an unsafe row with a single array field and return the array column? Then we don't need the hacks, but waste some bits for the row format overhead, which seems acceptable. --- 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 kiszk commented on the issue: https://github.com/apache/spark/pull/13909 ping @cloud-fan --- 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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