Milinda,
Thanks. I will try.
Regards,
Hironori
2016/03/16 1:31 "Milinda Pathirage" :
> Hi Hironori,
>
> [1] and [2] describes the process of measuring Kafka performance. I think
> the perf test code is under org.apache.kafka.tools package in 0.9, so you
> may have to change commands in [2] to re
Hi Hironori,
[1] and [2] describes the process of measuring Kafka performance. I think
the perf test code is under org.apache.kafka.tools package in 0.9, so you
may have to change commands in [2] to reflect that.
Thanks
Milinda
[1]
https://engineering.linkedin.com/kafka/benchmarking-apache-kafka
Robert,
Thank you for your response.
I would like to try kafka-console-consumer but I have no idea about
how to measure the consuming throughput.
Are there any standard way?
I would also try Kafka broker on physical servers.
Regarding version, I have upgraded to Flink 1.0.0 and replaced
FlinkKaf
Hi Hironori,
can you try with the kafka-console-consumer how many messages you can read
in one minute?
Maybe the broker's disk I/O is limited because everything is running in
virtual machines (potentially sharing one hard disk?)
I'm also not sure if running a Kafka 0.8 consumer against a 0.9 broke
Aljoscha,
Thank you for your response.
I tried no JSON parsing and no sink (DiscardingSink) case. The
throughput was 8228msg/sec.
Slightly better than JSON + Elasticsearch case.
I also tried using socketTextStream instead of FlinkKafkaConsumer, in
that case, the result was
60,000 msg/sec with jus
Hi,
Another interesting test would be a combination of 3) and 2). I.e. no JSON
parsing and no sink. This would show what the raw throughput can be before
being slowed down by writing to Elasticsearch.
Also .print() is also not feasible for production since it just prints every
element to the st
Stephan,
Sorry for the delay in my response.
I tried 3 cases you suggested.
This time, I set parallelism to 1 for simpicity.
0) base performance (same as the first e-mail): 1,480msg/sec
1) Disable checkpointing : almost same as 0)
2) No ES sink. just print() : 1,510msg/sec
3) JSON to TSV : 8,000
Stephan,
Thank you for your quick response.
I will try and post the result later.
Regards,
Hironori
2016-02-26 19:45 GMT+09:00 Stephan Ewen :
> Hi!
>
> I would try and dig bit by bit into what the bottleneck is:
>
> 1) Disable the checkpointing, see what difference that makes
> 2) Use a dummy
Hi!
I would try and dig bit by bit into what the bottleneck is:
1) Disable the checkpointing, see what difference that makes
2) Use a dummy sink (discarding) rather than elastic search, to see if
that is limiting
3) Check the JSON parsing. Many JSON libraries are very CPU intensive and
easily
Hello,
I started evaluating Flink and tried simple performance test.
The result was just about 4000 messages/sec with 300% CPU usage. I
think this is quite low and wondering if it is a reasonable result.
If someone could check it, it would be great.
Here is the detail:
[servers]
- 3 Kafka broker
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