Hi Brilly,

My initial guess is that it is the overhead of committing. Commit is
synchronous and you have the commit interval set to 50ms. Perhaps try
increasing it.


On Tue, 13 Feb 2018 at 07:49 TSANG, Brilly <brilly.ts...@hk.daiwacm.com>

> Hi kafka users,
> I created a filtering stream with the Processor API;  input topic that
> have input rate at ~5 records per millisecond.  The filtering function on
> average takes 0.05milliseconds to complete which in ideal case would
> translate to (1/0.05)  20 records per millisecond.  However, when I
> benchmark the whole process, the streams is only processing 0.05 record per
> milliseconds.
> Anyone have any idea on how to tune the steaming system to be faster as
> 0.05 record is very far away from the theoretical max of 20?  The results
> above are per partition based where I have 16 partition for the input topic
> and all partitions have similar throughput.
> I've only set the streams to have the following config:
>         Properties config = new Properties();
>         config.put(StreamsConfig.APPLICATION_ID_CONFIG, appId);
>         config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrap);
>         config.put(StreamsConfig.STATE_DIR_CONFIG, stateDir);
>         config.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 50);
> I'm not defining TimeExtractor so the default one is used.
> Thanks for any help in advance.
> Regards,
> Brilly
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