Re: Flink stress testing and metrics

Posted by Ladhari Sadok on
URL: http://deprecated-apache-flink-user-mailing-list-archive.369.s1.nabble.com/Flink-stress-testing-and-metrics-tp16851p16869.html

Thanks Timo for your answer.

I have tried to setLatencyTrackingInterval(1000) but I have got the same result ( latency : NaN )

My Flink Job is a geofencing pattern :

•  [Latitude,Langitude ] < IN | OUT > Location ? Send Notification : None

In my stress test I'm using data that always send notifications (condition always matched). So I want to measure the latency of my implementation.

I'm working with parallelism of 8 , all tasks are working and notifications are correctly generated but when testing I have noticed that the latency metric don't work (take a look at the screen-shot in attach). All other metrics are working.

Please help me finding the best way to do the stress testing correctly.

Regards,

Sadok

2017-11-22 14:52 GMT+01:00 Timo Walther <[hidden email]>:

Hi Sadok,

it would be helpful if you could tell us a bit more about your job. E.g. a skewed key distribution where keys are only sent to one third of your operators can not use your CPUs full capabilities.

The latency tracking interval is in milliseconds. Can you try if 1000 would fix your problem? I could not find an open issue describing your problem. Maybe more information about your environment can help. How are you executing your Flink application? Are you using a parallelism of 8?

Regards,
Timo


Am 11/22/17 um 9:49 AM schrieb Ladhari Sadok:

Hi All,

I want to do a stress testing of my Flink app implementation: event generation with ParallelSourceFunction then measuring the latency ,throughput, CPU & memry leak ...

But when testing, I noticed that :

• the maximum of CPU usage is 30-33%
• latency is always NaNd NaNh in the dashboard ( even I have set this configuration executionConfig.setLatencyTrackingInterval(1); )

Can some one help me find the best solution to smoke testing Flink ?

Note: I'm using Flink 1.3 and the Flink Web UI to visualize the metrics.
Also my PC have a 12Go RAM and 8 Core CPU.

Regards,

Sadok