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https://issues.apache.org/jira/browse/NIFI-5640?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16630497#comment-16630497
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ASF GitHub Bot commented on NIFI-5640:
--------------------------------------

GitHub user markap14 opened a pull request:

    https://github.com/apache/nifi/pull/3036

    NIFI-5640: Improved efficiency of Avro Reader and some methods of Avr…

    …oTypeUtil. Also switched ServiceStateTransition to using read/write locks 
instead of synchronized blocks because profiling showed that significant time 
was spent in determining state of a Controller Service when attempting to use 
it. Switching to a ReadLock should provide better performance there.
    
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You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/markap14/nifi NIFI-5640

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/nifi/pull/3036.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #3036
    
----
commit 6e1d1cc2cccc33282998953b5c8d612df7c80030
Author: Mark Payne <markap14@...>
Date:   2018-09-27T14:10:48Z

    NIFI-5640: Improved efficiency of Avro Reader and some methods of 
AvroTypeUtil. Also switched ServiceStateTransition to using read/write locks 
instead of synchronized blocks because profiling showed that significant time 
was spent in determining state of a Controller Service when attempting to use 
it. Switching to a ReadLock should provide better performance there.

----


> Improve efficiency of Avro Record Reader
> ----------------------------------------
>
>                 Key: NIFI-5640
>                 URL: https://issues.apache.org/jira/browse/NIFI-5640
>             Project: Apache NiFi
>          Issue Type: Improvement
>            Reporter: Mark Payne
>            Assignee: Mark Payne
>            Priority: Major
>
> There are a few things that we are doing in the Avro Reader that cause subpar 
> performance. Firstly, in the AvroTypeUtil, when converting an Avro 
> GenericRecord to our Record, the building of the RecordSchema is slow because 
> we call toString() (which is quite expensive) on the Avro schema in order to 
> provide a textual version to RecordSchema. However, the text is typically not 
> used and it is optional to provide the schema text, so we should avoid 
> calling Schema#toString() whenever possible.
> The AvroTypeUtil class also calls #getNonNullSubSchemas() a lot. In some 
> cases we don't really need to do this and can avoid creating the sublist. In 
> other cases, we do need to call it. However, the method uses the stream() 
> method on an existing List just to filter out 0 or 1 elements. While use of 
> the stream() method makes the code very readable, it is quite a bit more 
> expensive than just iterating over the existing list and adding to an 
> ArrayList. We should avoid use of the {{stream()}} method for trivial pieces 
> of code in time-critical parts of the codebase.
> Additionally, I've found that Avro's GenericDatumReader is extremely 
> inefficient, at least in some cases, when reading Strings because it uses an 
> IdentityHashMap to cache details about the schema. But IdentityHashMap is far 
> slower than if it were to just use HashMap so we could subclass the reader in 
> order to avoid the slow caching.



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