[GitHub] spark issue #15041: [SPARK-17488][CORE] TakeAndOrder will OOM when the data ...

2016-09-23 Thread cenyuhai
Github user cenyuhai commented on the issue: https://github.com/apache/spark/pull/15041 Ok, I close 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

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2016-09-23 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/15041 Limiting 10 million records is really a corner case. A workaround is to save your sorted query result into a new table and read the new table with your large limit. I don't think this corner case

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2016-09-23 Thread cenyuhai
Github user cenyuhai commented on the issue: https://github.com/apache/spark/pull/15041 Driver is ok, but executor is running out of memory, this method is called by executor. Our maximum limit of memory is 15G. --- If your project is set up for it, you can reply to this email and

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2016-09-23 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/15041 This takes a heavy sort-based path well before it would cause an OOM it seems though. This is a simple Utils method and I'm not sure it should be causing spills to disk. If the problem is that

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2016-09-23 Thread cenyuhai
Github user cenyuhai commented on the issue: https://github.com/apache/spark/pull/15041 In terms of data security, we can't get all data. Every sql should limit 10 million records. But sometimes it will OOM... My demand is to avoid OOM. @srowen Do you have any idea? --- If your

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2016-09-23 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/15041 This is introducing a lot of complexity and I'm still not sure why we'd want to _sort_ here. You do not in general want to sort something to get the result here. --- If your project is set up for

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