Seems like a significant improvement.

I guess pool exists per node in cluster?

Once completed please arrange a code review.

On Wed, Nov 30, 2016 at 12:27 PM, Kathees Rajendram <[email protected]>
wrote:

> Hi,
>
> I am working on connection pool implementation for Kafka [1] and JMS [2]
> connectors. In the existing connectors, connections are created and
> closed per message which gives the performance issue. I have improved the
> Kafka connector with configurable connection pool parameter. When
> publishing the messages, the maximum pool size parameter value can be
> changed in the connector configuration. Now the implementation with
> connection pool gives better performance.
>
> The following results are with connection pool implementation.
> Average throughput -  4980/s
>
>
> *Threads & Pool Size* *Messages per a Thread* *No of Messages* *A Message
> Size(byte)*
> *Throughput (/s)*
> 10
> 500 5,000 106 3728
> 20 500 10,000 106 4757
> 100
> 2500 250,000 106 5283
> 100 10000 1,000,000 106 4920
>
>
> The following results were without connection pool implementation.
> Average throughput -  2767/s
>
> *Threads* *Messages per a Thread* *No of Messages* *A Message Size(byte)*
> *Throughput (/s)*
> 10 500 5,000 106 1590
> 20 500 10,000 106 2251
> 100 250 25,000 106 2940
> 1,000 1500 1,500,000 106 2780
> In my git repo [3], I have committed the connection pool implementation
> for Kafka connector. Please give your suggestion.
>
> [1] - https://wso2.org/jira/browse/ESBCONNECT-122
> [2] - https://wso2.org/jira/browse/ESBCONNECT-142
> [3] - https://github.com/RKathees/esb-connector-kafka/blob/
> master/src/main/java/org/wso2/carbon/connector/KafkaConnectionPoolManager.
> java
>
> Thanks,
> Kathees
> --
> Kathees
> Software Engineer,
> email: [email protected]
> mobile: +94772596173 <077%20259%206173>
>



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