[jira] [Updated] (IO-296) ReaderInputStream optimization: more efficient reading of small chunks of data

["Oleg Kalnichevski (Updated) (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IO-296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Oleg Kalnichevski updated IO-296:
---------------------------------

    Attachment: commons-io-readerinputstream-optimization.patch

The proposed patch should improve efficiency and (potentially) performance of ReaderInputStream reading small chunks of data.

Please review.

Oleg
                
> ReaderInputStream optimization: more efficient reading of small chunks of data
> ------------------------------------------------------------------------------
>
>                 Key: IO-296
>                 URL: https://issues.apache.org/jira/browse/IO-296
>             Project: Commons IO
>          Issue Type: Improvement
>    Affects Versions: 2.1
>            Reporter: Oleg Kalnichevski
>         Attachments: commons-io-readerinputstream-optimization.patch
>
>
> ReaderInputStream in its current form does not efficiently handle reading of small data chunks. #read(byte[] b, int off, int len) methods compacts encoderOut on every read operation, which is not very efficient if the chunks of data being read are smallish. This especially affects the #read() method, which currently reads one byte of data into a temporary byte array. Not to mention that allocation of a temporary byte array on each #read() method invocation leads to generation of unnecessary intermediate garbage on the heap. 

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