Re: Task manager count goes the expand then converge process when running flink on YARN

2018-10-25 Thread Till Rohrmann
Hi Henry,

since version 1.5 you don't need to specify the number of TaskManagers to
start, because the system will figure this out. Moreover, in version 1.5.x
and 1.6.x it is recommended to set the number of slots per TaskManager to 1
since we did not support multi task slot TaskManagers properly. The problem
was that we start for every incoming slot request a separate TaskManager
even though there might still be some free slots left. This has been fixed
by FLINK-9455 [1]. The fix will be released with the upcoming next major
Flink release 1.7.

[1] https://issues.apache.org/jira/browse/FLINK-9455

Cheers,
Till

On Thu, Oct 25, 2018 at 5:58 AM vino yang  wrote:

> Hi Henry,
>
> The phenomenon you expressed is there, this is a bug, but I can't remember
> its JIRA number.
>
> Thanks, vino.
>
> 徐涛  于2018年10月24日周三 下午11:27写道:
>
>> Hi experts
>> I am running flink job on YARN in job cluster mode, the job is divided
>> into 2 tasks, the following are some configs of the job:
>> parallelism.default => 16
>> taskmanager.numberOfTaskSlots => 8
>> -yn => 2
>>
>> when the program starts, I found that the count of task managers is not
>> set immediately, but first expand then converge, I record the number during
>> the process:
>> Task Managers Task Slots Available Task Slots
>> 1. 14  10488
>> 2. 15 120104
>> 3. 16 128112
>> 4. 6   48  32
>> 5. 3   24  8
>> 6. 2   16  0
>>
>> The final state is correct. There are 2 tasks, 32 subtask in total, due
>> to slot sharing, only 16 slots are enough, the number of task slots per TM
>> are 8, so 2 TMs are needed.
>> I have the following question:
>> *Because I specify yn=2, why does not directly allocate 2 TMs, but goes
>> the expand then converge process?  Why does it apply 16 task managers at
>> most? If it is not a must, how to avoid it?*
>>
>> Thanks a lot!
>>
>> Best
>> Henry
>>
>


Re: Task manager count goes the expand then converge process when running flink on YARN

2018-10-24 Thread vino yang
Hi Henry,

The phenomenon you expressed is there, this is a bug, but I can't remember
its JIRA number.

Thanks, vino.

徐涛  于2018年10月24日周三 下午11:27写道:

> Hi experts
> I am running flink job on YARN in job cluster mode, the job is divided
> into 2 tasks, the following are some configs of the job:
> parallelism.default => 16
> taskmanager.numberOfTaskSlots => 8
> -yn => 2
>
> when the program starts, I found that the count of task managers is not
> set immediately, but first expand then converge, I record the number during
> the process:
> Task Managers Task Slots Available Task Slots
> 1. 14  10488
> 2. 15 120104
> 3. 16 128112
> 4. 6   48  32
> 5. 3   24  8
> 6. 2   16  0
>
> The final state is correct. There are 2 tasks, 32 subtask in total, due to
> slot sharing, only 16 slots are enough, the number of task slots per TM are
> 8, so 2 TMs are needed.
> I have the following question:
> *Because I specify yn=2, why does not directly allocate 2 TMs, but goes
> the expand then converge process?  Why does it apply 16 task managers at
> most? If it is not a must, how to avoid it?*
>
> Thanks a lot!
>
> Best
> Henry
>


Task manager count goes the expand then converge process when running flink on YARN

2018-10-24 Thread 徐涛
Hi experts
I am running flink job on YARN in job cluster mode, the job is divided 
into 2 tasks, the following are some configs of the job:
parallelism.default => 16
taskmanager.numberOfTaskSlots => 8
-yn => 2

when the program starts, I found that the count of task managers is not 
set immediately, but first expand then converge, I record the number during the 
process:
Task Managers Task Slots Available Task Slots
1.  14   10488
2.  15 120104
3.  16 128112
4.   6   48  32
5.   3   24  8
6.   2   16  0

The final state is correct. There are 2 tasks, 32 subtask in total, due 
to slot sharing, only 16 slots are enough, the number of task slots per TM are 
8, so 2 TMs are needed.
I have the following question:
Because I specify yn=2, why does not directly allocate 2 TMs, but goes 
the expand then converge process?  Why does it apply 16 task managers at most? 
If it is not a must, how to avoid it?

Thanks a lot!

Best
Henry


Task manager count goes the expand then converge process when running flink on YARN

2018-10-24 Thread 徐涛
Hi experts
I am running flink job on YARN in job cluster mode, the job is divided 
into 2 tasks, the following are some configs of the job:
parallelism.default => 16
taskmanager.numberOfTaskSlots => 8
-yn => 2

when the program starts, I found that the count of task managers is not 
set immediately, but first expand then converge, I record the number during the 
process:
Task Managers Task Slots Available Task Slots
1.  14   10488
2.  15 120104
3.  16 128112
4.   6   48  32
5.   3   24  8
6.   2   16  0

The final state is correct. There are 2 tasks, 32 subtask in total, due 
to slot sharing, only 16 slots are enough, the number of task slots per TM are 
8, so 2 TMs are needed.
I have the following question:
Because I specify yn=2, why does not directly allocate 2 TMs, but goes 
the expand then converge process?  Why does it apply 16 task managers at most? 
If it is not a must, how to avoid it?

Thanks a lot!

Best
Henry