One additional question: How did you stop and restart the job? The behavior
you're expecting should work with stop-with-savepoint. Cancelling the job
and then just restarting it wouldn't work. The latter approach would lead
to a new job being created.

Best,
Matthias

On Thu, Apr 22, 2021 at 3:12 PM Matthias Pohl <matth...@ververica.com>
wrote:

> Hi Milind,
> I bet someone else might have a faster answer. But could you provide the
> logs and config to get a better understanding of what your issue is?
> In general, the state is maintained even in cases where a TaskManager
> fails.
>
> Best,
> Matthias
>
> On Thu, Apr 22, 2021 at 5:11 AM Milind Vaidya <kava...@gmail.com> wrote:
>
>> Hi
>>
>> I see MemoryStateBackend being used in TM Log
>>
>> org.apache.flink.streaming.runtime.tasks.StreamTask - No state backend
>> has been configured, using default (Memory / JobManager)
>> MemoryStateBackend (data in heap memory / checkpoints to JobManager)
>> (checkpoints: 'null', savepoints: 'null', asynchronous: TRUE,
>> maxStateSize: 5242880)
>>
>>
>>
>> I am logging checkpointed value which is just message count
>>
>> Snapshot the state 500
>> Snapshot the state 1000
>>
>>
>> When I restart the job i.e. new TM but the job manager is same I see
>>
>> Snapshot the state 500
>>
>> In the JM logs I see following entries
>>
>> Triggering checkpoint 1
>> Triggering checkpoint 2
>>
>> After restarting job hence new TM
>>
>> Triggering checkpoint 1
>>
>> As per my understanding JM should hold the checkpointed
>> <https://ci.apache.org/projects/flink/flink-docs-release-1.9/ops/state/state_backends.html#the-memorystatebackend>
>> state across TM ? Am I correct?
>>
>> I have not configured anything special and using default. Do I need to
>> add any setting to make it work ?
>> I want to maintain message count across the TMs.
>>
>

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