e.spark.SparkException: Job aborted due to stage failure: Failed to
serialize task 465, not attempting to retry it. Exception during serialization:
java.io.NotSerializableException:
org.apache.spark.streaming.amqp.JavaMyReceiverStreamSuite
If I change the fn definition with something simpler lik
on what could be causing this??
>
> This is the exception that I am getting:
>
> [MySparkApplication] WARN : Failed to execute SQL statement select *
> from TableS s join TableC c on s.property = c.property from X YZ
> org.apache.spark.SparkException: Job aborted due to stage failu
c on s.property = c.property from X YZ
org.apache.spark.SparkException: Job aborted due to stage failure:
Task 4 in stage 5710.0 failed 4 times, most recent failure: Lost task
4.3 in stage 5710.0 (TID 341269,
ip-10-0-1-80.us-west-2.compute.internal):
java.io.FileNotFoundException:
/mnt/md0/var/lib/
I tried increasing spark.shuffle.io.maxRetries to 10 but didn't help.
This is the exception that I am getting:
[MySparkApplication] WARN : Failed to execute SQL statement select *
from TableS s join TableC c on s.property = c.property from X YZ
org.apache.spark.SparkException
ne”)
}
}
From the log “java.lang.ArrayIndexOutOfBoundsException: 71”, seems something
wrong with your data, is that your intention?
Thanks,
Hao
From: our...@cnsuning.com [mailto:our...@cnsuning.com]
Sent: Friday, August 28, 2015 7:20 PM
To: Terry Hole
Cc: user
Subject: Re: Re: Job ab
> have all completed, from pool
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 0.0 (TID 9, 10.104.74.7): java.lang.ArrayIndexOutOfBoundsException: 71
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$2.appl
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID
9, 10.104.74.7): java.lang.ArrayIndexOutOfBoundsException: 71
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(:23)
at $iwC$$iwC$$iwC$$iwC
10.104.74.6: java.lang.StringIndexOutOfBoundsException
> (String index out of range: 18) [duplicate 5]
> 15/08/28 17:00:54 INFO TaskSchedulerImpl: Removed TaskSet 9.0, whose tasks
> have all completed, from pool
> 15/08/28 17:00:54 INFO TaskSched
INFO TaskSchedulerImpl: Removed TaskSet 9.0, whose tasks have
all completed, from pool
15/08/28 17:00:54 INFO TaskSchedulerImpl: Cancelling stage 9
15/08/28 17:00:54 INFO DAGScheduler: ShuffleMapStage 9 (collect at
:31) failed in 0.206 s
15/08/28 17:00:54 INFO DAGScheduler: Job 6 failed: collect at :31,
t
Did you try this?
*val out=lines.filter(xx=>{*
val y=xx
val x=broadcastVar.value
var flag:Boolean=false
for(a<-x)
{
if(y.contains(a))
flag=true
}
flag
}
*})*
Thanks
Best Regards
On Wed, Jul 15, 2015 at 8:10 PM, Naveen Dabas wrote:
>
>
>
>
>
> I am using the
I am using the below code and using kryo serializer .when i run this code i
got this error : Task not serializable in commented line2) how broadcast
variables are treated in exceotu.are they local variables or can be used in any
function defined as global variables.
object StreamingLogIn
heduler: Stage 0 (reduce at
SparkPi.scala:35) failed in Unknown s
15/06/08 19:03:38 INFO scheduler.DAGScheduler: Job 0 failed: reduce at
SparkPi.scala:35, took 0.063253 s
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task serializati
I'm running PageRank on datasets with different sizes (from 1GB to 100GB).
Sometime my job is aborted showing this error:
Job aborted due to stage failure: Task 0 in stage 4.1 failed 4 times, most
recent failure: Lost task 0.3 in stage 4.1 (TID 2051, 9.12.247.250):
java.io.FileNotFoundExce
I'm running PageRank on datasets with different sizes (from 1GB to 100GB).
Sometime my job is aborted showing this error:
Job aborted due to stage failure: Task 0 in stage 4.1 failed 4 times,
most recent failure: Lost task 0.3 in stage 4.1 (TID 2051,
9.12.247.250): java.io.FileNotFoundExce
registered and have sufficient memory15/02/11 12:22:46
> ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All
> masters are unresponsive! Giving up.15/02/11 12:22:46 INFO
> TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed
SparkDeploySchedulerBackend: Shutting down all executors15/02/11 12:22:46
INFO SparkDeploySchedulerBackend: Asking each executor to shut
downorg.apache.spark.SparkException: Job aborted due to stage failure: All
masters are unresponsive! Giving up.at
org.apache.spark.scheduler.DAGScheduler.o
ng similar this morning, I believe because of
ports...
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Hi
I have trouble executing a really simple Java job on spark 1.0.0-cdh5.1.0
that runs inside a docker container:
SparkConf sparkConf = new
SparkConf().setAppName("TestApplication").setMaster("spark://localhost:7077");
JavaSparkContext ctx = new JavaSparkContext(sparkConf);
JavaRDD lines =
ctx.te
bump. same problem here.
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ateway.py",
> line 537, in __call__
> File
> "/net/antonin/home/user/Spark/spark-1.0.1-bin-hadoop2/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py",
> line 300, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o27.collect.
> : org.apache
1-bin-hadoop2/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o27.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0.0:13 failed 4 times, most recent failure: *TID 32
t;> registered and have sufficient memory
>>>> 14/03/05 23:24:43 INFO client.AppClient$ClientActor: Connecting to
>>>> master spark://node1:7077...
>>>> 14/03/05 23:24:51 WARN scheduler.TaskSchedulerImpl: Initial job has not
>>>> accepted any resources; che
/03/05 23:25:03 ERROR cluster.SparkDeploySchedulerBackend: Spark
>> cluster looks dead, giving up.
>> 14/03/05 23:25:03 INFO scheduler.TaskSchedulerImpl: Remove TaskSet 0.0
>> from pool
>> 14/03/05 23:25:03 INFO scheduler.DAGScheduler: Failed to run
>> saveAsNewAPIHad
ool
> 14/03/05 23:25:03 INFO scheduler.DAGScheduler: Failed to run
> saveAsNewAPIHadoopFile at CondelCalc.scala:146
> Exception in thread "main" org.apache.spark.SparkException: Job aborted:
> Spark cluster looks down
> at
> org.apache.spark.scheduler.DAGSchedul
adoopFile at CondelCalc.scala:146
Exception in thread "main" org.apache.spark.SparkException: Job aborted:
Spark cluster looks down
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1028)
...
The ge
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