Apache Airflow - Question about checkpointing and re-run a job

[M Singh]

Hi:

I have a Flink job and sometimes I need to cancel and re run it.  From what I understand the checkpoints for a job are saved under the job id directory at the checkpoint location. If I run the same job again, it will get a new job id and the checkpoint saved from the previous run job (which is saved under the previous job's id dir) will not be used for this new run. Is that a correct understanding ?  If I need to re-run the job from the previous checkpoint - is there any way to do that automatically without using a savepoint ?

Also, I believe the internal job restarts do not change the job id so in those cases where the job restarts will pick the state from the saved checkpoint.  Is my understanding correct ?

Thanks

Mans

[M Singh]

Folks - Please let me know if you have any advice on this question.  Thanks

On Saturday, November 16, 2019, 02:39:18 PM EST, M Singh <[hidden email]> wrote:

Hi:

I have a Flink job and sometimes I need to cancel and re run it.  From what I understand the checkpoints for a job are saved under the job id directory at the checkpoint location. If I run the same job again, it will get a new job id and the checkpoint saved from the previous run job (which is saved under the previous job's id dir) will not be used for this new run. Is that a correct understanding ?  If I need to re-run the job from the previous checkpoint - is there any way to do that automatically without using a savepoint ?

Also, I believe the internal job restarts do not change the job id so in those cases where the job restarts will pick the state from the saved checkpoint.  Is my understanding correct ?

Thanks

Mans

[Congxian Qiu]

Hi

Yes, checkpoint data locates under jobid dir. you can try to restore from the retained checkpoint[1]

[1] https://ci.apache.org/projects/flink/flink-docs-release-1.9/ops/state/checkpoints.html#resuming-from-a-retained-checkpoint

M Singh <[hidden email]> 于2019年11月18日周一 上午2:54写道：

Folks - Please let me know if you have any advice on this question.  Thanks

On Saturday, November 16, 2019, 02:39:18 PM EST, M Singh <[hidden email]> wrote:

Hi:

I have a Flink job and sometimes I need to cancel and re run it.  From what I understand the checkpoints for a job are saved under the job id directory at the checkpoint location. If I run the same job again, it will get a new job id and the checkpoint saved from the previous run job (which is saved under the previous job's id dir) will not be used for this new run. Is that a correct understanding ?  If I need to re-run the job from the previous checkpoint - is there any way to do that automatically without using a savepoint ?

Also, I believe the internal job restarts do not change the job id so in those cases where the job restarts will pick the state from the saved checkpoint.  Is my understanding correct ?

Thanks

Mans

[M Singh]

Thanks Congxian for your answer and reference.  Mans

On Sunday, November 17, 2019, 08:59:16 PM EST, Congxian Qiu <[hidden email]> wrote:

Hi

Yes, checkpoint data locates under jobid dir. you can try to restore from the retained checkpoint[1]

[1] https://ci.apache.org/projects/flink/flink-docs-release-1.9/ops/state/checkpoints.html#resuming-from-a-retained-checkpoint

M Singh <[hidden email]> 于2019年11月18日周一 上午2:54写道：

Folks - Please let me know if you have any advice on this question.  Thanks

On Saturday, November 16, 2019, 02:39:18 PM EST, M Singh <[hidden email]> wrote:

Hi:

I have a Flink job and sometimes I need to cancel and re run it.  From what I understand the checkpoints for a job are saved under the job id directory at the checkpoint location. If I run the same job again, it will get a new job id and the checkpoint saved from the previous run job (which is saved under the previous job's id dir) will not be used for this new run. Is that a correct understanding ?  If I need to re-run the job from the previous checkpoint - is there any way to do that automatically without using a savepoint ?

Also, I believe the internal job restarts do not change the job id so in those cases where the job restarts will pick the state from the saved checkpoint.  Is my understanding correct ?

Thanks

Mans

[kant kodali]

Does Airflow has a Flink Operator? I am not seeing it? Can you please point me?

On Mon, Nov 18, 2019 at 3:10 AM M Singh <[hidden email]> wrote:

Thanks Congxian for your answer and reference.  Mans

On Sunday, November 17, 2019, 08:59:16 PM EST, Congxian Qiu <[hidden email]> wrote:

Hi

Yes, checkpoint data locates under jobid dir. you can try to restore from the retained checkpoint[1]

[1] https://ci.apache.org/projects/flink/flink-docs-release-1.9/ops/state/checkpoints.html#resuming-from-a-retained-checkpoint

Best,

Congxian

M Singh <[hidden email]> 于2019年11月18日周一 上午2:54写道：

Folks - Please let me know if you have any advice on this question.  Thanks

On Saturday, November 16, 2019, 02:39:18 PM EST, M Singh <[hidden email]> wrote:

Hi:

I have a Flink job and sometimes I need to cancel and re run it.  From what I understand the checkpoints for a job are saved under the job id directory at the checkpoint location. If I run the same job again, it will get a new job id and the checkpoint saved from the previous run job (which is saved under the previous job's id dir) will not be used for this new run. Is that a correct understanding ?  If I need to re-run the job from the previous checkpoint - is there any way to do that automatically without using a savepoint ?

Also, I believe the internal job restarts do not change the job id so in those cases where the job restarts will pick the state from the saved checkpoint.  Is my understanding correct ?

Thanks

Mans

[Tzu-Li (Gordon) Tai]

Hi,

I believe that the title of this email thread was a typo, and should be
"Apache Flink - Question about checkpointing and re-run a job."
I assume this because the contents of the previous conversations seem to be
purely about Flink.

Otherwise, as far as I know, there doesn't seem to be any publicly available
Airflow operators for Flink right now.

Cheers,
Gordon



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