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https://issues.apache.org/jira/browse/HADOOP-18296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Loughran updated HADOOP-18296:
------------------------------------
    Release Note: 
Option "fs.file.checksum.verify" disables checksum
verification in local FS, so sliced subsets of larger buffers are
never returned. 

Stream capability  "fs.capability.vectoredio.sliced" is true
if a filesystem knows that it is returning slices of a larger buffer.
This is false if a filesystem doesn't, or against the local
FS in releases which lack this feature.


> Memory fragmentation in ChecksumFileSystem Vectored IO implementation.
> ----------------------------------------------------------------------
>
>                 Key: HADOOP-18296
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18296
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: common
>    Affects Versions: 3.4.0
>            Reporter: Mukund Thakur
>            Assignee: Steve Loughran
>            Priority: Minor
>              Labels: fs, pull-request-available
>
> As we have implemented merging of ranges in the ChecksumFSInputChecker 
> implementation of vectored IO api, it can lead to memory fragmentation. Let 
> me explain by example.
>  
> Suppose client requests for 3 ranges. 
> 0-500, 700-1000 and 1200-1500.
> Now because of merging, all the above ranges will get merged into one and we 
> will allocate a big byte buffer of 0-1500 size but return sliced byte buffers 
> for the desired ranges.
> Now once the client is done reading all the ranges, it will only be able to 
> free the memory for requested ranges and memory of the gaps will never be 
> released for eg here (500-700 and 1000-1200).
>  
> Note this only happens for direct byte buffers.



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