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https://issues.apache.org/jira/browse/BEAM-8425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ning Kang closed BEAM-8425.
---------------------------
    Fix Version/s: Not applicable
       Resolution: Abandoned

We decide not to notify users but proactively steer the user away from the bad 
situation.

By implementing show() that executes an implicitly built fragment, we mitigate 
the re-execution/deleted cell problems.

> Notifying Interactive Beam user about Beam related cell deletion or 
> re-execution
> --------------------------------------------------------------------------------
>
>                 Key: BEAM-8425
>                 URL: https://issues.apache.org/jira/browse/BEAM-8425
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-py-interactive
>            Reporter: Ning Kang
>            Assignee: Ning Kang
>            Priority: Major
>             Fix For: Not applicable
>
>
> There is a general problem about Interactive Notebooks that when an end user 
> deletes a cell that has been executed or re-executes a cell, those previous 
> executions are hidden from the end user.
> However, hidden states will still have side effects in the notebook.
> This kind of problem bothers Beam even more because Beam's pipeline 
> construction statements are note idempotent and pipeline execution is 
> decoupled and deferred from pipeline construction.
> Re-executing a cell with Beam statements that build a pipeline would cause 
> unexpected pipeline state and the user wouldn't notice it due to the problem 
> of notebooks.
> We'll intercept each transform application invocation from the 
> InteractiveRunner and record the ipython/notebook prompt number. Then each 
> time a user executes a cell that applies PTransform, we'll compare the 
> recorded list of prompt numbers with current notebook file's content and 
> figure out if there is any missing number. If so, we know for sure that a 
> re-execution happens and use display manager to notify the end user of 
> potential side effects caused by hidden states of the notebook/ipython.



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