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https://issues.apache.org/jira/browse/CASSANDRA-15452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17844826#comment-17844826
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Jordan West commented on CASSANDRA-15452:
-----------------------------------------

I wrote a [prototype|https://github.com/jrwest/cassandra/tree/jwest/15452-5.0] 
that uses a 256KB off-heap buffer for non-mmap'd, compressed data files only 
and tested it with [~rustyrazorblade]. The test uses "big" format. We have yet 
to validate with BTI format.

*To summarize our findings when running a single compaction:*
 * *on NVMe: equal throughput with an approx 5x reduction in IOPS*
 * *on EBS: 3x throughput with an approx 5x reduction in IOPS*

Attached are graphs of the iostat data and the raw iostat output from the EBS 
tests. 

 

*EBS (patched):*
!iostat-ebs-15452.png!

 

 

*EBS (5.0-HEAD):*
!iostat-ebs-head.png!

 

*NVMe (patched):*
!iostat-instance-15452.png!

 

 

*NVMe (5.0-HEAD):*
!iostat-instance-head.png!

 

[^iostat-5.0-head.output]

[^iostat-5.0-patched.output]

 

> Improve disk access patterns during compaction and streaming
> ------------------------------------------------------------
>
>                 Key: CASSANDRA-15452
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-15452
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Legacy/Local Write-Read Paths, Local/Compaction
>            Reporter: Jon Haddad
>            Assignee: Jordan West
>            Priority: Normal
>         Attachments: everyfs.txt, iostat-5.0-head.output, 
> iostat-5.0-patched.output, iostat-ebs-15452.png, iostat-ebs-head.png, 
> iostat-instance-15452.png, iostat-instance-head.png, results.txt, 
> sequential.fio
>
>
> On read heavy workloads Cassandra performs much better when using a low read 
> ahead setting.   In my tests I've seen an 5x improvement in throughput and 
> more than a 50% reduction in latency.  However, I've also observed that it 
> can have a negative impact on compaction and streaming throughput. It 
> especially negatively impacts cloud environments where small reads incur high 
> costs in IOPS due to tiny requests.
>  # We should investigate using POSIX_FADV_DONTNEED on files we're compacting 
> to see if we can improve performance and reduce page faults. 
>  # This should be combined with an internal read ahead style buffer that 
> Cassandra manages, similar to a BufferedInputStream but with our own 
> machinery.  This buffer should read fairly large blocks of data off disk at 
> at time.  EBS, for example, allows 1 IOP to be up to 256KB.  A considerable 
> amount of time is spent in blocking I/O during compaction and streaming. 
> Reducing the frequency we read from disk should speed up all sequential I/O 
> operations.
>  # We can reduce system calls by buffering writes as well, but I think it 
> will have less of an impact than the reads



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