512mb is just too small for a TaskManager. You would need to either
increase it, or decrease the other memory components (which currently use
default values).
The 64mb Total Flink Memory comes from the 512mb Total Process Memory minus
192mb minimum JVM Overhead and 256mb default JVM Metaspace.
Be
Hi John,
May I know what is your Flink version you are trying?
On Thu, 23 Jun 2022 at 3:43 AM, John Tipper wrote:
> Hi all,
>
> I'm wanting to run quite a number of PyFlink jobs on Kubernetes, where the
> amount of state and number of events being processed is small and therefore
> I'd like t
Hi all,
I'm wanting to run quite a number of PyFlink jobs on Kubernetes, where the
amount of state and number of events being processed is small and therefore I'd
like to use as little memory in my clusters as possible so I can bin pack most
efficiently. I'm running a Flink cluster per job. I'm
Hi Tim,
Reference a blog comes from Ververica:
"When you choose RocksDB as your state backend, your state lives as a
serialized byte-string in either the off-heap memory or the local disk."
It also contains many tune config options you can consider.[1]
Best,
Vino
[1]: https://www.ververica.com
For Streaming Jobs that use RocksDB my understanding is that state is
allocated off-year via RocksDB.
If this is true then does it still make sense to leave 70% (default
taskmanager.memory.fraction) of the heap for Flink Manged memory given that
it is likely not being used for state?Or am I mi
Hi XiangWei,
Thank you for the inputs. I agree with you that it is possible that
containers may use extra memory in 1.8. As for native memory, it is memory
used by JVM and other processes outside JVM. So it's not limited by
MaxDirectMemorySize.
The community is working on a refactoring plan about
Hi all,
Currently i am running my flink application in yarn session mode and
using below commnad :
*bin/yarn-session.sh -d -s 3 -jm 1024 -tm 4096*
when taskmanager complete to started,i found the container launching
command is :
* bin/java -Xms2765m -Xmx2765m -XX:MaxDirectMemorySize=1331m .
skManager?
>> - If you are running a job, do you use the RocksDB state backend, of the
>> FileSystem state backend?
>> - Does it grow infinitely, or simply up a certain point and then goes down
>> again?
>>
>> Greetings,
>> Stephan
>>
>>
>
>>> even on an idle TaskManager?
>>> - If you are running a job, do you use the RocksDB state backend, of
>>> the FileSystem state backend?
>>> - Does it grow infinitely, or simply up a certain point and then goes
>>> down again?
>>>
>>
p a certain point and then goes down
> again?
>
> Greetings,
> Stephan
>
>
> On Wed, Jul 20, 2016 at 5:58 PM, 김동일 <mailto:kim.s...@gmail.com>> wrote:
> oh. my flink version is 1.0.3.
>
>
> -- Forwarded message --
> From: 김동일 mailto:kim.s.
e backend, of
>> the FileSystem state backend?
>> - Does it grow infinitely, or simply up a certain point and then goes
>> down again?
>>
>> Greetings,
>> Stephan
>>
>>
>> On Wed, Jul 20, 2016 at 5:58 PM, 김동일 wrote:
>>
>>> oh. my
n again?
>
> Greetings,
> Stephan
>
>
> On Wed, Jul 20, 2016 at 5:58 PM, 김동일 wrote:
>
>> oh. my flink version is 1.0.3.
>>
>>
>> -- Forwarded message --
>> From: 김동일
>> Date: Thu, Jul 21, 2016 at 12:52 AM
>> Subjec
12:52 AM
> Subject: taskmanager memory leak
> To: user@flink.apache.org
>
>
> I've set up cluster(stand alone).
> Taskmanager consumes memory over the Xmx property and it grows up
> continuously.
> I saw this link(
> http://mail-
I've set up cluster(stand alone).
Taskmanager consumes memory over the Xmx property and it grows up
continuously.
I saw this link(
http://mail-archives.apache.org/mod_mbox/flink-dev/201606.mbox/%3ccak2vtervsw4muboc4swix0mr6y9bijznjuypf6_f9f0g9-_...@mail.gmail.com%3E
).
So i set the taskmanager.memo
oh. my flink version is 1.0.3.
-- Forwarded message --
From: 김동일
Date: Thu, Jul 21, 2016 at 12:52 AM
Subject: taskmanager memory leak
To: user@flink.apache.org
I've set up cluster(stand alone).
Taskmanager consumes memory over the Xmx property and it grows up
continuous
n behalf of
>> Stephan Ewen
>> *Sent:* Wednesday, December 9, 2015 11:15
>> *To:* user@flink.apache.org
>> *Subject:* Re: Taskmanager memory
>>
>> Off heap memory is freed when the memory consuming operators release the
>> memory.
>>
>> The
>
> Thanks,
>
> Sebastian
> --
> *From:* ewenstep...@gmail.com on behalf of
> Stephan Ewen
> *Sent:* Wednesday, December 9, 2015 11:15
> *To:* user@flink.apache.org
> *Subject:* Re: Taskmanager memory
>
> Off heap memory is freed when the
hanks,
Sebastian
From: ewenstep...@gmail.com on behalf of Stephan Ewen
Sent: Wednesday, December 9, 2015 11:15
To: user@flink.apache.org
Subject: Re: Taskmanager memory
Off heap memory is freed when the memory consuming operators release the memory.
The Java pr
Off heap memory is freed when the memory consuming operators release the
memory.
The Java process releases that memory then on the next GC, as far as I know.
On Wed, Dec 9, 2015 at 11:01 AM, Fabian Hueske wrote:
> Streaming mode with on-heap memory won't help because the JVM allocates
> all mem
Streaming mode with on-heap memory won't help because the JVM allocates all
memory but doesn't convert it to managed memory internally, right?
Is offheap memory actually freed after it has been allocated as managed
memory? Does this happen after a job finishes?
2015-12-09 10:44 GMT+01:00 Stephan
@Sebastian: Getting memory away from the JVM is tricky always, completely
independent of pre-allocation of managed memory or lazy allocation.
But here is something that may work:
- Start Flink in streaming mode - that will make it allocate managed
memory lazily
- Set the memory to offheap memo
Hi Sebastian,
There is no way to return memory from a Flink process except shutting the
process down.
I think YARN could help in your setup. In a YARN setup, you can flexibly
start and stop Flink sessions with different configurations (memory, TMs,
slots) or run a single job. When running a single
Hi everyone,
I am currently looking into how Flink can coexist and interoperate with other
frameworks in a cluster, such as plain single-machine processes or Spark?.
?Tachyon seems to be nice solution to exchange data between them.
However, I think it is a problem that Flink's taskmanagers al
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