[GitHub] [hadoop] tomscut commented on pull request #4209: HDFS-16550. Improper cache-size for journal node may cause cluster crash

2022-11-28 Thread GitBox


tomscut commented on PR #4209:
URL: https://github.com/apache/hadoop/pull/4209#issuecomment-1329975976

   Thanks @xkrogen for your thoughtful advice. It makes perfect sense to me. I 
updated the code.


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[GitHub] [hadoop] tomscut commented on pull request #4209: HDFS-16550. Improper cache-size for journal node may cause cluster crash

2022-11-27 Thread GitBox


tomscut commented on PR #4209:
URL: https://github.com/apache/hadoop/pull/4209#issuecomment-1328405738

   > I am -1 on the PR as-is. We have publicly exposed the current config 
`dfs.journalnode.edit-cache-size.bytes`; we can't just rename it and change the 
behavior now. I also think there is a lot of value in being able to configure 
the cache size exactly, rather than as a fraction, but I do recognize the value 
in using a ratio as a helpful default (one less knob to tune). I would propose:
   > 
   > * _Add_ (not replace) a new config 
`dfs.journalnode.edit-cache-size.fraction` (or `.ratio`? but either way I think 
we should maintain the `edit-cache-size` prefix)
   > * If `edit-cache-size.bytes` is set, use that value. Otherwise, use the 
value of `edit-cache-size.fraction * Runtime#maxMemory()`, which has a default 
value set.
   > * I would suggest 0.5 rather than 0.3 for the default value of `fraction` 
but am open to discussion there.
   > 
   > This still does change the default behavior slightly, since before you 
would get a 1GB cache and now you get `-Xmx * 0.5`, but there is an easy way to 
preserve the old behavior and if you've explicitly configured the cache size 
(which you probably did, if you're using the feature) then there is no change.
   
   Hi @xkrogen @ZanderXu , I updated the code according to the suggestion, 
please take a look. Thanks!


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[GitHub] [hadoop] tomscut commented on pull request #4209: HDFS-16550. Improper cache-size for journal node may cause cluster crash

2022-11-27 Thread GitBox


tomscut commented on PR #4209:
URL: https://github.com/apache/hadoop/pull/4209#issuecomment-1328405489

   Hi @xkrogen @ZanderXu , I updated the code according to the suggestion, 
please take a look. Thanks!
   


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[GitHub] [hadoop] tomscut commented on pull request #4209: HDFS-16550. Improper cache-size for journal node may cause cluster crash

2022-11-21 Thread GitBox


tomscut commented on PR #4209:
URL: https://github.com/apache/hadoop/pull/4209#issuecomment-1322873539

   > I am -1 on the PR as-is. We have publicly exposed the current config 
`dfs.journalnode.edit-cache-size.bytes`; we can't just rename it and change the 
behavior now. I also think there is a lot of value in being able to configure 
the cache size exactly, rather than as a fraction, but I do recognize the value 
in using a ratio as a helpful default (one less knob to tune). I would propose:
   > 
   > * _Add_ (not replace) a new config 
`dfs.journalnode.edit-cache-size.fraction` (or `.ratio`? but either way I think 
we should maintain the `edit-cache-size` prefix)
   > * If `edit-cache-size.bytes` is set, use that value. Otherwise, use the 
value of `edit-cache-size.fraction * Runtime#maxMemory()`, which has a default 
value set.
   > * I would suggest 0.5 rather than 0.3 for the default value of `fraction` 
but am open to discussion there.
   > 
   > This still does change the default behavior slightly, since before you 
would get a 1GB cache and now you get `-Xmx * 0.5`, but there is an easy way to 
preserve the old behavior and if you've explicitly configured the cache size 
(which you probably did, if you're using the feature) then there is no change.
   
   Thank you for your comments and detailed suggestions. It is a good idea to 
add a new config.
   


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[GitHub] [hadoop] tomscut commented on pull request #4209: HDFS-16550. Improper cache-size for journal node may cause cluster crash

2022-11-20 Thread GitBox


tomscut commented on PR #4209:
URL: https://github.com/apache/hadoop/pull/4209#issuecomment-1321325256

   Hi @tasanuma @ayushtkn , could you also please take a look? Thanks.


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