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https://issues.apache.org/jira/browse/NIFI-1680?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15291057#comment-15291057
 ] 

ASF subversion and git services commented on NIFI-1680:
-------------------------------------------------------

Commit 640b70214f9e40706bd880a877c9ba82770c1b83 in nifi's branch refs/heads/0.x 
from [~ozhurakousky]
[ https://git-wip-us.apache.org/repos/asf?p=nifi.git;h=640b702 ]

NIFI-1296, NIFI-1680, NIFI-1764, NIFI-1837, NIFI-1827, NIFI-1699  implemented 
new  Kafka processors that leverage Kafka 0.9 API
- Improved StreamScanner for better performance
- Renamed StreamScanner to StreamDemarcator as suggested by Joe
- Added failure handling logic to ensure both processors can be reset to their 
initial state (as if they were just started)
- Provided comprehensive test suite to validate various aspects of both Publish 
and Consume from Kafka
- Added relevant javadocs
- Added initial additionalDetails docs
- Addressed NPE reported by NIFI-1764
- Life-cycle refactoring for the existing PutKafka to ensure producer restart 
after errors
- Incorporated code changes contributed by Ralph Perko (see NIFI-1837)
- Addressed partition issue in RoundRobinPartitioner discussed in NIFI-1827
- Updated PropertyDescriptor descriptions to reflect their purpose

NIFI-1296 added @Ignore on some Kafka tests to improve test time

NIFI-1296 reworked tests to avoid dependency on embedded Kafka

NIFI-1296 fixed spelling error

NIFI-1296 fixed trailing whitespaces in non-java files

This closes #366

NIFI-1296 fixed pom files for 0.x branch

NIFI-1296 removed trailing white spaces in non-Java files


> Improve StreamScanner performance
> ---------------------------------
>
>                 Key: NIFI-1680
>                 URL: https://issues.apache.org/jira/browse/NIFI-1680
>             Project: Apache NiFi
>          Issue Type: Improvement
>            Reporter: Oleg Zhurakousky
>            Assignee: Oleg Zhurakousky
>             Fix For: 1.0.0, 0.7.0
>
>
> We have several use cases where a content of a single FlowFile is split 
> within a single cycle (i.e., _onTrigger()_). An example is PutKafka.
> Such splitting involves parsing of a content InputStream into chunks 
> represented as byte[]. Currently we are using custom buffer 
> (_org.apache.nifi.stream.io.util.StreamScanner_) to build byte[]. 
> There are several potential areas of improvement here:
> 1. Perform internal buffering instead of using ByteArrayInputStream and copy 
> bytes into byte array(the bytes that are already in the buffer of 
> ByteArrayInputStream)
> 2. The buffer itself is allocated on the heap. We can consider using 
> DirectBuffer (as optional flag)
> 3. Consider buffer pool where new instance of StreamScanner can pool work 
> buffer from such pol instead of allocating new one. 
> The #1 is by far the most important as it shows (in my test environment) 6 
> times performance improvement over the current implementation of 
> StreamScanner and 1.5 times performance improvement over 
> _java.io.BufferedReader_ which only supports implicit new line delimiter and 
> was used only for comparison. 



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