Hi Piotrek,
Thanks for the list of profilers. I used VisualVM and here is the
resource usage for taskManager.
Habib
On 11/1/2019 9:48 AM, Piotr Nowojski wrote:
Hi,
> Is there a simple way to get profiling information in Flink?
Flink doesn’t provide any special tooling for that. Just use your
chosen profiler, for example: Oracle’s Mission Control (free on non
production clusters, no need to install anything if already using
Oracle’s JVM), VisualVM (I think free), YourKit (paid). For each one
of them there is a plenty of online support how to use them both for
local and remote profiling.
Piotrek
On 31 Oct 2019, at 14:05, Habib Mostafaei <ha...@inet.tu-berlin.de
<mailto:ha...@inet.tu-berlin.de>> wrote:
I enclosed all logs from the run and for this run I used parallelism
one. However, for other runs I checked and found that all parallel
workers were working properly. Is there a simple way to get profiling
information in Flink?
Best,
Habib
On 10/31/2019 2:54 AM, Zhenghua Gao wrote:
I think more runtime information would help figure
outwheretheproblem is.
1) how many parallelisms actually working
2) the metrics for each operator
3) the jvm profiling information, etc
*Best Regards,*
*Zhenghua Gao*
On Wed, Oct 30, 2019 at 8:25 PM Habib Mostafaei
<ha...@inet.tu-berlin.de <mailto:ha...@inet.tu-berlin.de>> wrote:
Thanks Gao for the reply. I used the parallelism parameter with
different values like 6 and 8 but still the execution time is
not comparable with a single threaded python script. What would
be the reasonable value for the parallelism?
Best,
Habib
On 10/30/2019 1:17 PM, Zhenghua Gao wrote:
The reason might be the parallelism of your task is only 1,
that's too low.
See [1] to specify proper parallelism for your job, and the
execution time should be reduced significantly.
[1]
https://ci.apache.org/projects/flink/flink-docs-stable/dev/parallel.html
*Best Regards,*
*Zhenghua Gao*
On Tue, Oct 29, 2019 at 9:27 PM Habib Mostafaei
<ha...@inet.tu-berlin.de <mailto:ha...@inet.tu-berlin.de>> wrote:
Hi all,
I am running Flink on a standalone cluster and getting very
long
execution time for the streaming queries like WordCount for
a fixed text
file. My VM runs on a Debian 10 with 16 cpu cores and 32GB
of RAM. I
have a text file with size of 2GB. When I run the Flink on
a standalone
cluster, i.e., one JobManager and one taskManager with 25GB
of heapsize,
it took around two hours to finish counting this file while
a simple
python script can do it in around 7 minutes. Just wondering
what is
wrong with my setup. I ran the experiments on a cluster
with six
taskManagers, but I still get very long execution time like
25 minutes
or so. I tried to increase the JVM heap size to have lower
execution
time but it did not help. I attached the log file and the
Flink
configuration file to this email.
Best,
Habib
<flink-xxx-client-xxx.log><flink-xxx-standalonesession-0-xxx.log><flink-xxx-taskexecutor-0-xxx.log>
--
Habib Mostafaei, Ph.D.
Postdoctoral researcher
TU Berlin,
FG INET, MAR 4.003
Marchstraße 23, 10587 Berlin
