GitHub user jaceklaskowski opened a pull request:
https://github.com/apache/spark/pull/10433
[CORE] Refactoring: Use pattern matching and dedicated method
It should be slightly easier to see what really happens (without questions
like what other state a task can be here).
BTW, I was thinking about introducing `TaskState.isFailed` or similar
method so it's even clearer that the order of cases in the pattern match
matters as the only case left out in `TaskState.isFinished` is `FINISHED`. With
such a method, `TaskState.isFinished` would be `TaskState.isFailed` +
`FINISHED` state. Perhaps, `TaskState.isCompleted` would be more appropriate.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jaceklaskowski/spark
taskschedulerimpl-pattern-matching
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10433.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #10433
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commit 734095269660da9b6db454ebe49466ffd5cd1b04
Author: Jacek Laskowski <[email protected]>
Date: 2015-12-22T13:14:05Z
[CORE] Refactoring: Use pattern matching and dedicated method
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