Yeah, then the easiest would be to fork spark and run using the forked
version, and in case of YARN it should be pretty easy to do.
git clone https://github.com/apache/spark.git
cd spark
export MAVEN_OPTS="-Xmx4g -XX:ReservedCodeCacheSize=512m"
./build/mvn -DskipTests clean package
I tried a similar approach, it works well for user functions. but I need to
crash tasks or executor when spark application runs "repartition". I didn't
any away to inject "poison pill" into repartition call :(
пн, 11 февр. 2019 г. в 21:19, Vadim Semenov :
> something like this
>
> import
something like this
import org.apache.spark.TaskContext
ds.map(r => {
val taskContext = TaskContext.get()
if (taskContext.partitionId == 1000) {
throw new RuntimeException
}
r
})
On Mon, Feb 11, 2019 at 8:41 AM Serega Sheypak wrote:
>
> I need to crash task which does repartition.
>
I need to crash task which does repartition.
пн, 11 февр. 2019 г. в 10:37, Gabor Somogyi :
> What blocks you to put if conditions inside the mentioned map function?
>
> On Mon, Feb 11, 2019 at 10:31 AM Serega Sheypak
> wrote:
>
>> Yeah, but I don't need to crash entire app, I want to fail
What blocks you to put if conditions inside the mentioned map function?
On Mon, Feb 11, 2019 at 10:31 AM Serega Sheypak
wrote:
> Yeah, but I don't need to crash entire app, I want to fail several tasks
> or executors and then wait for completion.
>
> вс, 10 февр. 2019 г. в 21:49, Gabor Somogyi
Yeah, but I don't need to crash entire app, I want to fail several tasks or
executors and then wait for completion.
вс, 10 февр. 2019 г. в 21:49, Gabor Somogyi :
> Another approach is adding artificial exception into the application's
> source code like this:
>
> val query = input.toDS.map(_ /
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
wrote:
> Hi BR,
> thanks for your reply. I want to mimic the issue and kill
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 :
> Hi Serega,
>
> If I understand your
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
yarn application -kill applicationid ?
> Am 10.02.2019 um 13:30 schrieb Serega Sheypak :
>
> 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
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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