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https://issues.apache.org/jira/browse/SPARK-6286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14358180#comment-14358180
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Jongyoul Lee edited comment on SPARK-6286 at 3/12/15 6:54 AM:
--------------------------------------------------------------

[~srowen] I saw release note and a new protocol {{TASK_ERROR}} which avoids 
falling in infinite loop by making wrong task description. And I agree with you 
because this is not compatible with older versions of Mesos, and in case of 
spark, {{TASK_ERROR}} occurs rarely - personally, none - because 
taskSchedulerImpl makes mesosTask mechanically. However, if you need to code 
for {{TASK_ERROR}} to prepare future releases - actually no one wants to 
downgrade mesos without any reason -, I think there are two options for dealing 
with {{TASK_ERROR}}. One is to treat it as same as {{TASK_LOST}}, and another 
one is killing this spark application itself because this might be a kind of 
system error. I think it's enough to choose the first option for now, and we 
make this code compatible with older versions.


was (Author: jongyoul):
[~srowen] I saw release note and a new protocol {{TASK_ERROR}} which avoids 
falling in infinite loop by making wrong task description. And I agree with you 
because this is not compatible with older versions of Mesos, and in case of 
spark, {{TASK_ERROR}} occurs rarely - personally, none - because 
taskSchedulerImpl makes mesosTask mechanically. However, if you need to code 
for {{TASK_ERROR}} to prepare future releases - actually no one wants to 
downgrade mesos without any reason -, I think there are two options for dealing 
with {{TASK_ERROR}. One is to treat it as same as {{TASK_LOST}}, and another 
one is killing this spark application itself because this might be a kind of 
system error. I think it's enough to choose the first option for now, and we 
make this code compatible with older versions.

> Handle TASK_ERROR in TaskState
> ------------------------------
>
>                 Key: SPARK-6286
>                 URL: https://issues.apache.org/jira/browse/SPARK-6286
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>            Reporter: Iulian Dragos
>            Priority: Minor
>              Labels: mesos
>
> Scala warning:
> {code}
> match may not be exhaustive. It would fail on the following input: TASK_ERROR
> {code}



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