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
not 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
Ankur Srivastava; 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>&
s idea.
>
> thanks
> Robin
>
> ---Original---
> *From:* "Mina Aslani"<aslanim...@gmail.com>
> *Date:* 2017/3/7 05:32:10
> *To:* "Ankur Srivastava"<ankur.srivast...@gmail.com>;
> *Cc:* "user@spark.apache.org"<user@spark.apache.org>
Cc: "user@spark.apache.org"<user@spark.apache.org>;
Subject: Re: org.apache.spark.SparkException: Task not serializable
Thank you Ankur for the quick response, really appreciate it! Making the class
serializable resolved the exception!
Best regards,Mina
On Mon, Mar 6, 2017 at 4:20 PM, Anku
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 s
gt; 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 sta
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
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$util$ClosureClean
uot;playground","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.
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.expressions.Win
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.
>>>
>>>
n 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 temp = 10
> val newSC = sc
> val new RDD = newSC.parallel
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
ile)
>>> // header
>>> val header = logData.first
>>> // filter out header
>>> val sample = logData.filter(!_.contains(header)).map {
>>> line => line.replaceAll("['\"]","").substring(0,line.length()-1)
>>>
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.util.ClosureCleaner$.ensur
ogData.filter(!_.contains(header)).map {
>> line => line.replaceAll("['\"]","").substring(0,line.length()-1)
>> }.takeSample(false,100,12L)
>>
>> Stack Trace:
>>
>> org.apache.spark.SparkException: Task not seri
le = logData.filter(!_.contains(header)).map {
> line => line.replaceAll("['\"]","").substring(0,line.length()-1)
> }.takeSample(false,100,12L)
>
> Stack Trace:
>
> org.apache.spark.SparkException: Task not serializable
>
> org.apache.spark.util.C
"['\"]","").substring(0,line.length()-1)
> }.takeSample(false,100,12L)
>
> Stack Trace:
>
> org.apache.spark.SparkException: Task not serializable
>
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureClea
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.
object StreamingLogInput
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
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._
import
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 simplifying your
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
, there is no where to which the return can
jump.Hence it is not serializable.
Good luck.-Mike
From: bit1...@163.com bit1...@163.com
To: user user@spark.apache.org
Sent: Monday, June 8, 2015 10:01 PM
Subject: Re: Wired Problem: Task not serializable[Spark Streaming]
#yiv1823860044
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.createEdm
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.apache.spark.util.ClosureCleaner$.ensureSerializable(
ClosureCleaner.scala:166
this serialization exception and I am not too sure
what Graph is unexpectedly null when DStream is being serialized
means?
15/04/20 06:12:38 INFO yarn.ApplicationMaster: Final app status:
FAILED, exitCode: 15, (reason: User class threw exception: Task not
serializable)
Exception in thread Driver
:12:38 INFO yarn.ApplicationMaster: Final app status: FAILED,
exitCode: 15, (reason: User class threw exception: Task not serializable)
Exception in thread Driver org.apache.spark.SparkException: Task not
serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable
not
serializable)
Exception in thread Driver org.apache.spark.SparkException: Task
not serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(
ClosureCleaner.scala:166)
at org.apache.spark.util.ClosureCleaner$.clean(
ClosureCleaner.scala:158
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
serializable)
Exception in thread Driver org.apache.spark.SparkException: Task
class threw exception: Task not
serializable)
Exception in thread Driver org.apache.spark.SparkException: Task not
serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(
ClosureCleaner.scala:166)
at org.apache.spark.util.ClosureCleaner$.clean
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 Driver org.apache.spark.SparkException: Task not
serializable
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 serializable)
Exception
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
}
}
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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.ClosureCleaner
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.lang.Error: org.apache.spark.SparkException: Task not serializable
(){
override def run(){
if( some condition){
sqlContext.sql(SELECT * from
...).collect().foreach(println)
}
else{
//some other query
}
}
})
}
this will throw a Task serializable Exception, if I
().foreach(println)
}
else{
//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
)
}
}/
Exception in thread main org.apache.spark.SparkException: Task not
serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158)
at org.apache.spark.SparkContext.clean(SparkContext.scala:1435
. 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$.ensureSerializable(ClosureCleaner.scala:166)
at org.apache.spark.util.ClosureCleaner
anyone let me know the cause.
org.apache.spark.SparkException: Task not serializable
Caused by: org.apache.spark.SparkException: Task not serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166
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.
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
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.
if this works for you also.
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)
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:
Cancelling stage 0
org.apache.spark.SparkException: Job aborted due to stage failure: Task not
serializable
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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:
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$scheduler$DAGScheduler$$failJobAndIndependentStages
,
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;
}
}
rdd.filter(row = OBJ.f1())
And when I run, I get the following exception
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 10) i = i +1;
true
...@gmail.com wrote:
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 10) i = i
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 of
'UserGroupInformation'. But it didn't resolve
.
This is throwing task not serializable exceptions for
'UserGroupInformation'
and 'FileSystem' classes. I also tried using 'SparkHadoopUtil' instead of
'UserGroupInformation'. But it didn't resolve the issue.
Request you provide some pointers in this regard.
Also I have a query - when we
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
serializable
exceptions for each and every class being used from
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 serializable
exceptions for each
, 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.hadoop.io.Text
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.hadoop.io.Text
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.hadoop.io.Text
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
.
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 Task
not serializable: java.io.NotSerializableException errors, apart from
commenting
juan.rodriguez.hort...@gmail.com wrote:
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
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 in the Spark runtime system.
I'm using Spark
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 Task not
serializable: java.io.NotSerializableException errors, apart from
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:
org.apache.spark.SparkContext
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:
org.apache.spark.SparkContext
) 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.NotSerializableException: org.apache.spark.SparkContext
the
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 myField: Any) {
def
.1001560.n3.nabble.com/Re-Task-not-serializable-tp3507p5506.html
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Thank you very much. Making the trait serializable worked.
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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{
def input
Have you tried making A extend Serializable?
On Thu, May 1, 2014 at 3:47 PM, SK skrishna...@gmail.com 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:
Task
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
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