Hi Sathi,
configuring managed memory and taskmanager heap memory also depends on
your jobs. If your jobs involve much sorting, then a high managed memory
is helpful. If you are creating a lot of objects in your functions, that
need some time until they get garbage collected (ideally you should not
use `new` at all), then a larger Java heap might be useful instead of
managed memory.
Regards,
Timo
Am 31.05.17 um 09:43 schrieb Sathi Chowdhury:
Thanks Nico for a good gist on memory management of flink…
If I have 64 GB in each task manager …should I be aggressive of setting
taskmanager.heap.mb to a very large value 56GB let;s say,563200 was a
mistake,that’s abruptly high.
I am actually trying to come up with an understanding how to maximum utilize
task manager’s memory so there is not a large amount of memory left unused, and
Flink is starving of memory…heap is used for sorting/hashing…
If I do not mention taskmanager.heap.mb and yarn-session -tm option (actually
are they the same thing?) … I am going to try out how much memory is used
Thanks again
Sathi
On 5/30/17, 3:22 AM, "Nico Kruber" <n...@data-artisans.com> wrote:
By default, Flink allocates a fraction of 0.7 (taskmanager.memory.fraction) of
the free memory (total memory configured via taskmanager.heap.mb minus memory
used for network buffers) for its managed memory. An absolute value may be set
using taskmanager.memory.size (overrides the fraction parameter). [1]
In general, [1] is a good read for how the different memory settings work
together.
The 10000 network buffers of size taskmanager.memory.segment-size (default:
32k) will this remove 320MB from your taskmanager.heap.mb (which in your
example is set to 563GB?!) and therefore do not affect the managed memory size
much.
Whether the size used by the JVM is preallocated--and thus immediately
visible--depends on taskmanager.memory.preallocate.
But actually what are trying to fix? Is your node flushing data to disk yet? Or
has it just not accumulated that much operator state yet?
Nico
[1] https://ci.apache.org/projects/flink/flink-docs-release-1.3/setup/
config.html#managed-memory
On Monday, 29 May 2017 19:09:55 CEST Sathi Chowdhury wrote:
For got to mention I am running 10 slots in each machine and
taskmanager.network.numberOfBuffers: 10000
Is there a scope of improving
memory usage?
From: Sathi Chowdhury
<sathi.chowdh...@elliemae.com<mailto:sathi.chowdh...@elliemae.com>>
Date:
Monday, May 29, 2017 at 9:55 AM
To: "user@flink.apache.org<mailto:user@flink.apache.org>"
<user@flink.apache.org<mailto:user@flink.apache.org>>
Subject: How can I
increase Flink managed memory?
Hello Flink Dev and Community
I have 5 task managers each tie 64 GB of memory
I am running flink on yarn with task manager heap taskmanager.heap.mb:
563200
Link still shows that it is using about 21 GB memory leaving 35 GB
available..how and what can I do to fix it? Please suggest
Thanks
Sathi
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