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From Gabor Somogyi <gabor.g.somo...@gmail.com>
Subject Re: Spark on YARN, HowTo kill executor or individual task?
Date Sun, 10 Feb 2019 20:49:14 GMT
Another approach is adding artificial exception into the application's
source code like this:

val query = input.toDS.map(_ / 0).writeStream.format("console").start()

G


On Sun, Feb 10, 2019 at 9:36 PM Serega Sheypak <serega.sheypak@gmail.com>
wrote:

> Hi BR,
> thanks for your reply. I want to mimic the issue and kill tasks at a
> certain stage. Killing executor is also an option for me.
> I'm curious how do core spark contributors test spark fault tolerance?
>
>
> вс, 10 февр. 2019 г. в 16:57, Gabor Somogyi <gabor.g.somogyi@gmail.com>:
>
>> Hi Serega,
>>
>> If I understand your problem correctly you would like to kill one
>> executor only and the rest of the app has to be untouched.
>> If that's true yarn -kill is not what you want because it stops the whole
>> application.
>>
>> I've done similar thing when tested/testing Spark's HA features.
>> - jps -vlm | grep
>> "org.apache.spark.executor.CoarseGrainedExecutorBackend.*applicationid"
>> - kill -9 pidofoneexecutor
>>
>> Be aware if it's a multi-node cluster check whether at least one process
>> runs on a specific node(it's not required).
>> Happy killing...
>>
>> BR,
>> G
>>
>>
>> On Sun, Feb 10, 2019 at 4:19 PM Jörn Franke <jornfranke@gmail.com> wrote:
>>
>>> yarn application -kill applicationid ?
>>>
>>> > Am 10.02.2019 um 13:30 schrieb Serega Sheypak <
>>> serega.sheypak@gmail.com>:
>>> >
>>> > Hi there!
>>> > I have weird issue that appears only when tasks fail at specific
>>> stage. I would like to imitate failure on my own.
>>> > The plan is to run problematic app and then kill entire executor or
>>> some tasks when execution reaches certain stage.
>>> >
>>> > Is it do-able?
>>>
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