Is there a way around to implement a separate Java class that implements
serializable interface for even small petty arithmetic operations?
below is code from simple decision tree example
Double testMSE = predictionAndLabel.map(new Function, Double>() {
@Override
public Double call(Tupl
serializable error when I try to
cache the spark sql table
Hello all,
I am using Zeppelin 0.7.1 with Spark 2.1.0
I am getting org.apache.spark.SparkException: Task not serializable error when
I try to cache the spark sql table. I am using a UDF on a column of table and
want to cache the resultant table
Hello all,
I am using Zeppelin 0.7.1 with Spark 2.1.0
I am getting org.apache.spark.SparkException: Task not serializable error
when I try to cache the spark sql table. I am using a UDF on a column of
table and want to cache the resultant table . I can execute the paragraph
successfully when
tava; user@spark.apache.org
Subject: Re: org.apache.spark.SparkException: Task not serializable
For scala,
make your class Serializable, like this
```
class YourClass extends Serializable {
}
```
On Sat, Mar 11, 2017 at 3:51 PM, 萝卜丝炒饭
<1427357...@qq.com<mailto:1427357...@qq.com>> wrote:
hi min
#x27;s idea.
>
> thanks
> Robin
>
> ---Original---
> *From:* "Mina Aslani"
> *Date:* 2017/3/7 05:32:10
> *To:* "Ankur Srivastava";
> *Cc:* "user@spark.apache.org";
> *Subject:* Re: org.apache.spark.SparkException: Task not serializable
&
hi mina,
can you paste your new code here pleasel
i meet this issue too but do not get Ankur's idea.
thanks
Robin
---Original---
From: "Mina Aslani"
Date: 2017/3/7 05:32:10
To: "Ankur Srivastava";
Cc: "user@spark.apache.org";
Subject: Re: org.apache.spark.Sp
f lines of a text file in my
>> mac, however I get
>>
>> org.apache.spark.SparkException: Task not serializable error on
>>
>> JavaRDD logData = javaCtx.textFile(file);
>>
>> Please see below for the sample of code and the stackTrace.
>>
>> Any idea why th
ith spark and get number of lines of a text file in my
> mac, however I get
>
> org.apache.spark.SparkException: Task not serializable error on
>
> JavaRDD logData = javaCtx.textFile(file);
>
> Please see below for the sample of code and the stackTrace.
>
> Any idea why th
Hi,
I am trying to start with spark and get number of lines of a text file
in my mac, however I get
org.apache.spark.SparkException: Task not serializable error on
JavaRDD logData = javaCtx.textFile(file);
Please see below for the sample of code and the stackTrace.
Any idea why this error is
map(xx=>{
val simpley = yyy.value
1
})
I'm seeing error:
org.apache.spark.SparkException: Task not serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$Closure
uot;sstest")
> println(v_str(0),v_str(1),v_str(2),v_str(3))}
> override def close(errorOrNull: Throwable) = ()
> }
>
> val query =
> line_count.writeStream.outputMode("complete").foreach(writer).start()
>
> query.awaitTermination()
&
problem? Or is there another way to save the
result using foreach sink? Thanks very much.
Best,
Jianshi
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Did you check this:
case class Example(name : String, age ; Int)
there is a semicolon. should have been (age : Int)
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I've noticed that after I use a Window function over a DataFrame if I call a
map() with a function, Spark returns a "Task not serializable" Exception
This is my code:
val hc = new org.apache.spark.sql.hive.HiveContext(sc)
import hc.implicits._
import org.apache.spark.sql.expression
text variable (sc) to a new variable and
>>> reference
>>> another variable in an RDD lambda expression we get a task not
>>> serializable exception.
>>>
>>> The following three lines of code illustrate this :
>>>
>>> val temp = 10
>>
zeppelin.
>> If we assign the sparkcontext variable (sc) to a new variable and
>> reference
>> another variable in an RDD lambda expression we get a task not
>> serializable exception.
>>
>> The following three lines of code illustrate this :
>>
>&g
sc) to a new variable and reference
> another variable in an RDD lambda expression we get a task not
> serializable exception.
>
> The following three lines of code illustrate this :
>
> val temp = 10
> val newSC = sc
> val new RDD = newSC.parallelize(0 to 100).map(p => p
Hi All,
We recently came across this issue when using the spark-shell and zeppelin.
If we assign the sparkcontext variable (sc) to a new variable and reference
another variable in an RDD lambda expression we get a task not serializable
exception.
The following three lines of code illustrate this
>>> val header = logData.first
>>> // filter out header
>>> val sample = logData.filter(!_.contains(header)).map {
>>> line => line.replaceAll("['\"]","").substring(0,line.length()-1)
>>> }.takeSampl
>>
>> Code:
>>
>> //get file
>> val logFile = "s3n://file"
>> val logData = sc.textFile(logFile)
>> // header
>> val header = logData.first
>> // filter out header
>> val sample = logData.filter(!_.contains(header)).map {
quot;").substring(0,line.length()-1)
> }.takeSample(false,100,12L)
>
> Stack Trace:
>
> org.apache.spark.SparkException: Task not serializable
>
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:315)
>
> or
er(!_.contains(header)).map {
> line => line.replaceAll("['\"]","").substring(0,line.length()-1)
> }.takeSample(false,100,12L)
>
> Stack Trace:
>
> org.apache.spark.SparkException: Task not serializable
>
> org.apache.spark.util.Clos
/ filter out header
val sample = logData.filter(!_.contains(header)).map {
line => line.replaceAll("['\"]","").substring(0,line.length()-1)
}.takeSample(false,100,12L)
Stack Trace:
org.apache.spark.SparkException: Task not serializable
org.apache.spark.u
>
> I am using the below code and using kryo serializer .when i run this code
> i got this error : Task not serializable in commented line
> 2) how broadcast variables are treated in exceotu.are they local variables
> or can be used in any function defined as global variables.
>
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
I can't tell immediately, but you might be able to get more info with the
hint provided here:
http://stackoverflow.com/questions/27980781/spark-task-not-serializable-with-simple-accumulator
(short version, set -Dsun.io.serialization.extendedDebugInfo=true)
Also, unless you're simpli
hi ,all
there two examples one is throw Task not serializable when execute in spark
shell,the other one is ok,i am very puzzled,can anyone give what's different
about this two code and why the other is ok
1.The one which throw Task not serializable :
import org.apache.spark._
i
not on the
workers.So on the workers, there is no where to which the "return" can
jump.Hence it is not serializable.
Good luck.-Mike
From: "bit1...@163.com"
To: user
Sent: Monday, June 8, 2015 10:01 PM
Subject: Re: Wired Problem: Task not serializable[Spark S
Could someone help explain what happens that leads to the Task not serializable
issue?
Thanks.
bit1...@163.com
From: bit1...@163.com
Date: 2015-06-08 19:08
To: user
Subject: Wired Problem: Task not serializable[Spark Streaming]
Hi,
With the following simple code, I got an exception that
Hi All,
Basically I try to define a simple UDF and use it in the query, but it gives
me "Task not serializable"
public void test() {
RiskGroupModelDefinition model =
registeredRiskGroupMap.get(this.modelId);
RiskGroupModelDefinition edm = this
moving the context bounds solve the
>>>>>> problem... What does this exception mean in general?
>>>>>>
>>>>>> On Mon, Apr 20, 2015 at 1:33 PM, Tathagata Das
>>>>>> wrote:
>>>>>>
>>>>>>> When are
PM, Tathagata Das
>>>>> wrote:
>>>>>
>>>>>> When are you getting this exception? After starting the context?
>>>>>>
>>>>>> TD
>>>>>>
>>>>>> On Mon, Apr 20, 2015 at 10:44
>>> j...@tellapart.com> wrote:
>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> I am getting this serialization exception and I am not too sure what
>>>>>> "Graph is unexpectedly null when DStream is bein
>>>>
>>>>> I am getting this serialization exception and I am not too sure what
>>>>> "Graph is unexpectedly null when DStream is being serialized" means?
>>>>>
>>>>> 15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final a
>>>> "Graph is unexpectedly null when DStream is being serialized" means?
>>>>
>>>> 15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status:
>>>> FAILED, exitCode: 15, (reason: User class threw exception: T
>> "Graph is unexpectedly null when DStream is being serialized" means?
>>>
>>> 15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status: FAILED,
>>> exitCode: 15, (reason: User class threw exception: Task not serializable)
>>> Excep
> "Graph is unexpectedly null when DStream is being serialized" means?
>>
>> 15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status: FAILED,
>> exitCode: 15, (reason: User class threw exception: Task not serializable)
>> Exception in thread &
means?
>
> 15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status: FAILED,
> exitCode: 15, (reason: User class threw exception: Task not serializable)
> Exception in thread "Driver" org.apache.spark.SparkException: Task not
> serializable
> at org.ap
Hi,
I am getting this serialization exception and I am not too sure what "Graph
is unexpectedly null when DStream is being serialized" means?
15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status: FAILED,
exitCode: 15, (reason: User class threw exception: Task not se
Hi,
I run into Task not Serializable excption with following code below. When I
remove the threads and run, it works, but with threads I run into Task not
serializable exception.
object SparkKart extends Serializable{
def parseVector(line: String): Vector[Double] = {
DenseVector(line.split
}
})
thread1.start
}
}
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() {
val dist1 =data.map(x => squaredDistance(x,kPoints(0)))
}
})
thread1.start
I am facing Task not serializable exception:
Exception in thread "Thread-32" org.apache.spark.SparkException: Task not
serializable
at
org.apache.spark.util.C
er node but only per
partition and not for every row like above.
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I'm having the same problem with the same sample code. Any progress on this?
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>>
>> }
>> })
>> }
>>
>> this will throw a Task serializable Exception, if I do not use the
>> multi-thread, it works well.
>> Since there is no object is not serializable? so what is the problem?
>>
>>
>> java.
//some other query
> }
>
> }
> })
> }
>
> this will throw a Task serializable Exception, if I do not use the
> multi-thread, it works well.
> Since there is no object is not serializable? so what is the problem?
>
>
> java.lang.Error: org.ap
//some other query
}
}
})
}
this will throw a Task serializable Exception, if I do not use the
multi-thread, it works well.
Since there is no object is not serializable? so what is the problem?
java.lang.Error: org.apache.spark.SparkEx
ny]))
} catch {
case e: Exception => None
}
})
result.map(mapper.writeValueAsString(_)).saveAsTextFile(outputFile)
}
}/
Exception in thread "main" org.apache.spark.SparkException: Task not
serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleane
Thanks.
After writing it as static inner class, that exception not coming. But
getting snappy related exception. I could see the corresponding dependency
is in the spark assembly jar. Still getting the exception. Any quick
suggestion on this?
Here is the stack trace.
java.lang.UnsatisfiedLinkErr
You are declaring an anonymous inner class here. It has a reference to the
containing class even if you don't use it. If the closure cleaner can't
determine it isn't used, this reference will cause everything in the outer
class to serialize. Try rewriting this as a named static inner class .
On Nov
Thanks for your prompt response.
I'm not using any thing in my map function. please see the below code. For
sample purpose, I would like to using 'select * from
'.
This code worked for me in standalone mode. But when I integrated with my
web application, it is throwing the specified exception.
x27;m using this code implements Serializable class. Could
> anyone let me know the cause.
>
>
> org.apache.spark.SparkException: Task not serializable
>
> Caused by: org.apache.spark.SparkException: Task not serializable
> at
>
> org.apache.spark.util.C
ializable class. Could
anyone let me know the cause.
org.apache.spark.SparkException: Task not serializable
Caused by: org.apache.spark.SparkException: Task not serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166)
at org.apache.spark.util
is works for you also.
>
>
>
>
>
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> Sent from the Apache Sp
Hi Akhil,
Please see this related message.
http://apache-spark-user-list.1001560.n3.nabble.com/Bug-in-Accumulators-td17263.html
I am curious if this works for you also.
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= 1; foo(iter)}}
> .reduce(_ + _)
> println(accum.value)
>
> Now, if I remove the 'accum += 1', everything works fine. If I keep it, I
> get this weird error:
>
> Exception in thread "main" 14/10/25 21:58:56 INFO TaskSchedulerImpl:
ot;main" 14/10/25 21:58:56 INFO TaskSchedulerImpl:
Cancelling stage 0
org.apache.spark.SparkException: Job aborted due to stage failure: Task not
serializable: java.io.NotSerializableException:
org.apache.spark.SparkContext
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGSc
ong with
> my filter,
> i get "org.apache.spark.SparkException: Task not serializable" expetion.
>
> here is my filter function:
> object OBJ {
>def f1(): Boolean = {
> var i = 1;
> for (j<-1 to 10) i = i +1;
> true;
>}
>
Hi,
>
> Probably I am missing very simple principle , but something is wrong with
> my filter,
> i get "org.apache.spark.SparkException: Task not serializable" expetion.
>
> here is my filter function:
> object OBJ {
>def f1(): Boolean = {
> var i =
Hi,
Probably I am missing very simple principle , but something is wrong with
my filter,
i get "org.apache.spark.SparkException: Task not serializable" expetion.
here is my filter function:
object OBJ {
def f1(): Boolean = {
var i = 1;
for (j<-1 to
, you create the object on the driver and try to
>> >> serialize and copy it to workers. In the second, you're creating
>> >> SomeUnserializableManagerClass in the function and therefore on the
>> >> worker.
>> >>
>> >> mapPartitions is better if t
creation is expensive.
> >>
> >> On Fri, Sep 5, 2014 at 3:06 PM, Sarath Chandra
> >> wrote:
> >> > Hi,
> >> >
> >> > I'm trying to migrate a map-reduce program to work with spark. I
> >> > migrated
&g
ing this FileSystem instance I read those reference files
> and use that data in my processing logic.
>
> This is throwing task not serializable exceptions for 'UserGroupInformation'
> and 'FileSystem' classes. I also tried using 'SparkHadoopUtil' instead
again available in HDFS. So inside the map method
I'm trying to instantiate UserGroupInformation to get an instance of
FileSystem. Then using this FileSystem instance I read those reference
files and use that data in my processing logic.
This is throwing task not serializable exception
ch line in the file it applies several transformation
> > functions available in various external libraries.
> >
> > When I execute this over spark, it is throwing me "Task not serializable"
> > exceptions for each and every class being used from these from exter
k. I migrated
> the program from Java to Scala. The map-reduce program basically loads a
> HDFS file and for each line in the file it applies several transformation
> functions available in various external libraries.
>
> When I execute this over spark, it is throwing me "Task not se
lies several transformation
>> functions available in various external libraries.
>>
>> When I execute this over spark, it is throwing me "Task not serializable"
>> exceptions for each and every class being used from these from external
>> libraries. I in
xternal libraries.
>
> When I execute this over spark, it is throwing me "Task not serializable"
> exceptions for each and every class being used from these from external
> libraries. I included serialization to few classes which are in my scope,
> but there there ar
this over spark, it is throwing me "Task not serializable"
exceptions for each and every class being used from these from external
libraries. I included serialization to few classes which are in my scope,
but there there are several other classes which are out of my scope like
org.apache
uot; a
>>> écrit :
>>>
>>> A quick fix would be to implement java.io.Serializable in those
>>>> classes which are causing this exception.
>>>>
>>>>
>>>>
>>>> Thanks
>>>> Best Regards
>>>>
>>>>
>&
GScheduler: Failed to run foreach at :31
14/08/12 00:47:25 ERROR JobScheduler: Error running job streaming job
1407804445000 ms.0
org.apache.spark.SparkException: Job aborted due to stage failure:
Task not serializable: java.io.NotSerializableException:
org.apache.spark.streaming.StreamingContext
at
org.apa
;>>
>>>
>>> On Mon, Jul 28, 2014 at 9:21 PM, Juan Rodríguez Hortalá <
>>> juan.rodriguez.hort...@gmail.com> wrote:
>>>
>>>> Hi all,
>>>>
>>>> I was wondering if someone has conceived a method for debugging "Task
>&
, Jul 28, 2014 at 9:21 PM, Juan Rodríguez Hortalá <
>> juan.rodriguez.hort...@gmail.com> wrote:
>>
>>> Hi all,
>>>
>>> I was wondering if someone has conceived a method for debugging "Task
>>> not serializable: java.io.NotSerializableExcepti
ausing this exception.
>
>
>
> Thanks
> Best Regards
>
>
> On Mon, Jul 28, 2014 at 9:21 PM, Juan Rodríguez Hortalá <
> juan.rodriguez.hort...@gmail.com> wrote:
>
>> Hi all,
>>
>> I was wondering if someone has conceived a method for debugging &quo
ed a method for debugging "Task not
> serializable: java.io.NotSerializableException" errors, apart from
> commenting and uncommenting parts of the program, or just turning
> everything into Serializable. I find this kind of error very hard to debug,
> as these are originated
Hi all,
I was wondering if someone has conceived a method for debugging "Task not
serializable: java.io.NotSerializableException" errors, apart from
commenting and uncommenting parts of the program, or just turning
everything into Serializable. I find this kind of error very hard to
is code is in the MLLib, I just try to broadcast the
>>> centerArrays ]
>>>
>>> it can success in the redeceBykey operation, but failed at the
>>> collect operation, this confused me.
>>>
>>>
>>> INFO DAGScheduler: Fai
rrays ]
>>
>> it can success in the redeceBykey operation, but failed at the
>> collect operation, this confused me.
>>
>>
>> INFO DAGScheduler: Failed to run collect at KMeans.scala:235
>> [error] (run-main-0) org.apache.spark.SparkException: Job aborted:
eans.scala:235
> [error] (run-main-0) org.apache.spark.SparkException: Job aborted: Task
> not serializable: java.io.NotSerializableException:
> org.apache.spark.SparkContext
> org.apache.spark.SparkException: Job aborted: Task not serializable:
> java.io.NotSerial
centerArrays ]
it can success in the redeceBykey operation, but failed at the collect
operation, this confused me.
INFO DAGScheduler: Failed to run collect at KMeans.scala:235
[error] (run-main-0) org.apache.spark.SparkException: Job aborted: Task not
serializable: java.io.NotSerializableException
Hi!
I understand the usual "Task not serializable" issue that arises when
accessing a field or a method that is out of scope of a closure.
To fix it, I usually define a local copy of these fields/methods, which
avoids the need to serialize the whole class:
class MyClass(val my
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Thank you very much. Making the trait serializable worked.
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Have you tried making A extend Serializable?
On Thu, May 1, 2014 at 3:47 PM, SK wrote:
> Hi,
>
> I have the following code structure. I compiles ok, but at runtime it aborts
> with the error:
> Exception in thread "main" org.apache.spark.SparkException: Job aborted
Hi,
I have the following code structure. I compiles ok, but at runtime it aborts
with the error:
Exception in thread "main" org.apache.spark.SparkException: Job aborted:
Task not serializable: java.io.NotSerializableException:
I am running in local (standalone) mode.
trait A{
Hi
I am new to Spark and I encountered this error when I try to map RDD[A] =>
RDD[Array[Double]] then collect the results.
A is a custom class extends Serializable. (Actually it's just a wrapper
class which wraps a few variables that are all serializable).
I also tried KryoSerializer according t
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