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https://issues.apache.org/jira/browse/BEAM-8539?focusedWorklogId=341996&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-341996
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ASF GitHub Bot logged work on BEAM-8539:
----------------------------------------
Author: ASF GitHub Bot
Created on: 12/Nov/19 16:03
Start Date: 12/Nov/19 16:03
Worklog Time Spent: 10m
Work Description: chadrik commented on issue #9969: [BEAM-8539] Provide
an initial definition of all job states and the state transition diagram
URL: https://github.com/apache/beam/pull/9969#issuecomment-552959589
Good to note, thanks.
On Tue, Nov 12, 2019 at 7:41 AM Maximilian Michels <[email protected]>
wrote:
> *@mxm* commented on this pull request.
> ------------------------------
>
> In model/job-management/src/main/proto/beam_job_api.proto
> <https://github.com/apache/beam/pull/9969#discussion_r345280401>:
>
> > @@ -201,6 +201,16 @@ message JobMessagesResponse {
> }
>
> // Enumeration of all JobStates
> +//
> +// The state transition diagram is:
> +// STOPPED -> STARTING -> RUNNING -> DONE
> +// \> FAILED
> +// \> CANCELLING -> CANCELLED
> +// \> UPDATING -> UPDATED
> +// \> DRAINING -> DRAINED
>
> Should add here that it is possible for jobs to transition from FAILING
> to RUNNING in Flink (i.e. recovering from a checkpoint), though this does
> not have to be exposed through the Beam API.
>
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Issue Time Tracking
-------------------
Worklog Id: (was: 341996)
Time Spent: 6.5h (was: 6h 20m)
> Clearly define the valid job state transitions
> ----------------------------------------------
>
> Key: BEAM-8539
> URL: https://issues.apache.org/jira/browse/BEAM-8539
> Project: Beam
> Issue Type: Improvement
> Components: beam-model, runner-core, sdk-java-core, sdk-py-core
> Reporter: Chad Dombrova
> Priority: Major
> Time Spent: 6.5h
> Remaining Estimate: 0h
>
> The Beam job state transitions are ill-defined, which is big problem for
> anything that relies on the values coming from JobAPI.GetStateStream.
> I was hoping to find something like a state transition diagram in the docs so
> that I could determine the start state, the terminal states, and the valid
> transitions, but I could not find this. The code reveals that the SDKs differ
> on the fundamentals:
> Java InMemoryJobService:
> * start state: *STOPPED*
> * run - about to submit to executor: STARTING
> * run - actually running on executor: RUNNING
> * terminal states: DONE, FAILED, CANCELLED, DRAINED
> Python AbstractJobServiceServicer / LocalJobServicer:
> * start state: STARTING
> * terminal states: DONE, FAILED, CANCELLED, *STOPPED*
> I think it would be good to make python work like Java, so that there is a
> difference in state between a job that has been prepared and one that has
> additionally been run.
> It's hard to tell how far this problem has spread within the various runners.
> I think a simple thing that can be done to help standardize behavior is to
> implement the terminal states as an enum in the beam_job_api.proto, or create
> a utility function in each language for checking if a state is terminal, so
> that it's not left up to each runner to reimplement this logic.
>
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