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https://issues.apache.org/jira/browse/IO-468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14311337#comment-14311337
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Bernd Hopp commented on IO-468:
-------------------------------
"Trying to do some internal optimization for the general use case is not the
right way to go imho."
So there should not be any internal optimization for general use cases? Did I
get you right?
This does not appeal to me as the approach that a developer of a popular
library used in performance critical scenarios should take, to be honest.
> Avoid allocating memory for method internal buffers, use threadlocal memory
> instead
> -----------------------------------------------------------------------------------
>
> Key: IO-468
> URL: https://issues.apache.org/jira/browse/IO-468
> Project: Commons IO
> Issue Type: Improvement
> Components: Utilities
> Affects Versions: 2.4
> Environment: all environments
> Reporter: Bernd Hopp
> Priority: Minor
> Labels: newbie, performance
> Fix For: 2.5
>
> Attachments: PerfTest.java, monitoring_with_threadlocals.png,
> monitoring_without_threadlocals.png, performancetest.ods
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> In a lot of places, we allocate new buffers dynamically via new byte[]. This
> is a performance drawback since many of these allocations could be avoided if
> we would use threadlocal buffers that can be reused. For example, consider
> the following code from IOUtils.java, ln 2177:
> return copyLarge(input, output, inputOffset, length, new
> byte[DEFAULT_BUFFER_SIZE]);
> This code allocates new memory for every copy-process, that is not used
> outside of the method and could easily and safely reused, as long as is is
> thread-local. So instead of allocating new memory, a new utility-class could
> provide a thread-local bytearray like this:
> byte[] buffer = ThreadLocalByteArray.ofSize(DEFAULT_BUFFER_SIZE);
> return copyLarge(input, output, inputOffset, length, buffer);
> I have not measured the performance-benefits yet, but I would expect them to
> be significant, especially when the streams itself are not the performance
> bottleneck.
> Git PR is at https://github.com/apache/commons-io/pull/6/files
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