examples on how to print all classes, but
how to print all classes of kryo classloader - no idea.
On 8 September 2015 at 16:43, Nick Peterson <nrpeter...@gmail.com> wrote:
> Yes, the jar contains the class:
>
> $ jar -tf lumiata-evaluation-assembly-1.0.jar | grep 2028/Document
egarding your question about classloader - no idea, probably there is, I
>> remember stackoverflow has some examples on how to print all classes, but
>> how to print all classes of kryo classloader - no idea.
>>
>> On 8 September 2015 at 16:43, Nick Peterson <nrpeter...@gmai
> remember stackoverflow has some examples on how to print all classes, but
> how to print all classes of kryo classloader - no idea.
>
> On 8 September 2015 at 16:43, Nick Peterson <nrpeter...@gmail.com> wrote:
>
>> Yes, the jar contains the class:
>>
>> $ jar
;>> appears 2 times or more...? or more generally - any 2 jars that can contain
>>> this class by any chance
>>>
>>> regarding your question about classloader - no idea, probably there is,
>>> I remember stackoverflow has some examples on how to print all classes
I'm trying to run a Spark 1.4.1 job on my CDH5.4 cluster, through Yarn.
Serialization is set to use Kryo.
I have a large object which I send to the executors as a Broadcast. The
object seems to serialize just fine. When it attempts to deserialize,
though, Kryo throws a ClassNotFoundException
Hi, all
I wrote a spark program which uses the Kryo serialization. When I count a rdd
which type is RDD[(String,String)], it reported an Exception like the following
:
* Class is not registered: org.apache.spark.util.collection.CompactBuffer[]
* Note: To register this class use:
kryo.register
For the exception w.r.t. ManifestFactory , there is SPARK-6497 which is
Open.
FYI
On Fri, Aug 28, 2015 at 8:25 AM, donhoff_h 165612...@qq.com wrote:
Hi, all
I wrote a spark program which uses the Kryo serialization. When I count a
rdd which type is RDD[(String,String)], it reported
Hello,
I´ve got a problem using Spark with Geomesa. I´m not quite sure where the
error comes from, but I assume its problem with Spark.
A ClassNotFoundException is thrown with following content: Failed to
register classes with Kryo.
Please have a look at https://github.com/apache/spark/pull/4258
Hello.
I have an issue with CustomKryoRegistrator, which causes ClassNotFound on
Worker.
The issue is resolved if call SparkConf.setJar with path to the same jar I run.
It is a workaround, but it requires to specify the same jar file twice. The
first time I use it to actually run the job, and
What I seem to be don’t get is how my code ends up being on Worker node.
My understanding was that jar file, which I use to start the job should
automatically be copied into Worker nodes and added to classpath. It seems to
be not the case. But if my jar is not copied into Worker nodes, then how
actually correct?
Hope this helps..
Regards,
Gylfi.
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Hi,
I am using TeraSort benchmark from ehiggs's branch
https://github.com/ehiggs/spark-terasort
https://github.com/ehiggs/spark-terasort . Then I noticed that in
TeraSort.scala, it is using Kryo Serializer. So I made a small change from
org.apache.spark.serializer.KryoSerializer
Looks like, it spend more time writing/transferring the 40GB of shuffle
when you used kryo. And surpirsingly, JavaSerializer has 700MB of shuffle?
Thanks
Best Regards
On Sun, Jul 5, 2015 at 12:01 PM, Gavin Liu ilovesonsofanar...@gmail.com
wrote:
Hi,
I am using TeraSort benchmark from
That code doesn't appear to be registering classes with Kryo, which means the
fully-qualified classname is stored with every Kryo record. The Spark
documentation has more on this:
https://spark.apache.org/docs/latest/tuning.html#data-serialization
Regards,
Will
On July 5, 2015, at 2:31 AM
Kryo serialization is used internally by Spark for spilling or shuffling
intermediate results, not for writing out an RDD as an action. Look at Sandy
Ryza's examples for some hints on how to do this:
https://github.com/sryza/simplesparkavroapp
Regards,
Will
On July 3, 2015, at 2:45 AM
I have a rather simple avro schema to serialize Tweets (message, username,
timestamp).
Kryo and twitter chill are used to do so.
For my dev environment the Spark context is configured as below
val conf: SparkConf = new SparkConf()
conf.setAppName(kryo_test)
conf.setMaster(“local[4])
conf.set
to the cluster manually, and
then using spark.executor.extraClassPath
On Wed, Apr 29, 2015 at 6:42 PM, Akshat Aranya aara...@gmail.com
mailto:aara...@gmail.com wrote:
Hi,
Is it possible to register kryo serialization for classes
contained in jars that are added with spark.jars? In my
This is a kryo issue. https://github.com/EsotericSoftware/kryo/issues/124.
It has to do with the lengths of the fieldnames. This issue is fixed in
Kryo 2.23.
What's weird is this doesn't break on Hive itself, only when using
SparkSQL. Attached is the full stacktrace. It might be how SparkSQL
table.
Running the same query on Hive works... what's going on here? Any
suggestions on how to debug this?
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I cherry-picked this commit into my local 1.2 branch. It fixed the problem
with setting spark.serializer, but I get a similar problem with
spark.closure.serializer
org.apache.spark.SparkException: Failed to register classes with Kryo
at
org.apache.spark.serializer.KryoSerializer.newKryo
NullPointerException on right1
(left1.merge(left2), right1.merge(right2))
})
Tuples of graphs are serialized correctly (we use a custom serializer).
However, in the reduce method we get null instead of the right graph.
The problem seems to be cause by the Kryo Serialization. In fact, when
to be cause by the Kryo Serialization. In fact, when we
used java serialization Tuples are deserialized correctly.
In addition, using two mapPartition/reduce, the first one for left graphs
and the second one for right graphs the objects are deserialized correctly
by kryo.
This is our serializer class
to the cluster manually, and then using
spark.executor.extraClassPath
On Wed, Apr 29, 2015 at 6:42 PM, Akshat Aranya aara...@gmail.com wrote:
Hi,
Is it possible to register kryo serialization for classes contained in
jars that are added with spark.jars? In my experiment it doesn't seem to
work, likely
is pretty minimal, so as long as you
do this within reason, I think you're OK.
Imran
On Thu, Apr 30, 2015 at 12:34 AM, 邓刚[技术中心] triones.d...@vipshop.com wrote:
Hi all
We know that spark support Kryo serialization, suppose there is a
map function which map C to K,V(here C,K,V
(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:724)
I verified that the same configuration works without using Kryo serialization.
On Fri, May 1, 2015 at 9:44 AM, Akshat Aranya aara...@gmail.com wrote:
I cherry-picked the fix for SPARK-5470 and the problem has gone away.
On Fri, May
Hi,
I'm getting a ClassNotFoundException at the executor when trying to
register a class for Kryo serialization:
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method
a ClassNotFoundException at the executor when trying to
register a class for Kryo serialization:
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance
about Schema$MyRow ?
On Fri, May 1, 2015 at 8:05 AM, Akshat Aranya aara...@gmail.com wrote:
Hi,
I'm getting a ClassNotFoundException at the executor when trying to
register a class for Kryo serialization:
java.lang.reflect.InvocationTargetException
at the executor when trying to
register a class for Kryo serialization:
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57
Hi,
Is it possible to register kryo serialization for classes contained in jars
that are added with spark.jars? In my experiment it doesn't seem to
work, likely because the class registration happens before the jar is
shipped to the executor and added to the classloader. Here's the general
idea
Hi all
We know that spark support Kryo serialization, suppose there is a map
function which map C to K,V(here C,K,V are instance of class C,K,V), when we
register kryo serialization, should I register all of these three class?
Best Wishes
Triones Deng
本电子邮件可能为保密文件。如果阁下非电子邮件所指定之收件人
Hi All I am getting below exception while using Kyro serializable with
broadcast variable. I am broadcating a hasmap with below line.
MapLong, MatcherReleventData matchData =RddForMarch.collectAsMap();
final BroadcastMapLong, MatcherReleventData dataMatchGlobal =
jsc.broadcast(matchData);
Yes Without Kryo it did work out.when I remove kryo registration it did
worked out
On 15 April 2015 at 19:24, Jeetendra Gangele gangele...@gmail.com wrote:
its not working with the combination of Broadcast.
Without Kyro also not working.
On 15 April 2015 at 19:20, Akhil Das ak
Is it working without kryo?
Thanks
Best Regards
On Wed, Apr 15, 2015 at 6:38 PM, Jeetendra Gangele gangele...@gmail.com
wrote:
Hi All I am getting below exception while using Kyro serializable with
broadcast variable. I am broadcating a hasmap with below line.
MapLong, MatcherReleventData
, Jeetendra Gangele gangele...@gmail.com
wrote:
Yes Without Kryo it did work out.when I remove kryo registration it did
worked out
On 15 April 2015 at 19:24, Jeetendra Gangele gangele...@gmail.com
wrote:
its not working with the combination of Broadcast.
Without Kyro also not working.
On 15
this is a really strange exception ... I'm especially surprised that it
doesn't work w/ java serialization. Do you think you could try to boil it
down to a minimal example?
On Wed, Apr 15, 2015 at 8:58 AM, Jeetendra Gangele gangele...@gmail.com
wrote:
Yes Without Kryo it did work out.when I
, MatcherReleventData dataMatchGlobal =
jsc.broadcast(tmp);
Can you please clarify:
* Does it work w/ java serialization in the end? Or is this kryo only?
* which Spark version you are using? (one of the relevant bugs was fixed in
1.2.1 and 1.3.0)
On Wed, Apr 15, 2015 at 9:06 AM, Jeetendra Gangele gangele
its not working with the combination of Broadcast.
Without Kyro also not working.
On 15 April 2015 at 19:20, Akhil Das ak...@sigmoidanalytics.com wrote:
Is it working without kryo?
Thanks
Best Regards
On Wed, Apr 15, 2015 at 6:38 PM, Jeetendra Gangele gangele...@gmail.com
wrote:
Hi All
it work w/ java serialization in the end? Or is this kryo only?
* which Spark version you are using? (one of the relevant bugs was fixed
in 1.2.1 and 1.3.0)
On Wed, Apr 15, 2015 at 9:06 AM, Jeetendra Gangele gangele...@gmail.com
wrote:
This looks like known issue? check this out
http
Hello,
Thank you for your answer.
I'm already registering my classes as you're suggesting...
Regards
De : tsingfu [via Apache Spark User List]
[mailto:ml-node+s1001560n22468...@n3.nabble.com]
Envoyé : lundi 13 avril 2015 03:48
À : Mehdi Singer
Objet : Re: Kryo exception : Encountered
my classes as you’re suggesting…
Regards
*De :* tsingfu [via Apache Spark User List] [mailto:ml-node+[hidden email]
http:///user/SendEmail.jtp?type=nodenode=22471i=0]
*Envoyé :* lundi 13 avril 2015 03:48
*À :* Mehdi Singer
*Objet :* Re: Kryo exception : Encountered unregistered class ID
/Kryo-exception-Encountered-unregistered-class-ID-13994-tp22437.html
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I have set Kryo Serializer as default serializer in SparkConf and Spark UI
confirms it too, but in the Spark logs I'm getting this exception,
java.io.OptionalDataException
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1370)
at java.io.ObjectInputStream.readObject
You probably don't cause a shuffle (which requires serialization) unless
there is a join or group by.
It's possible that we are need to pass the spark class loader to kryo when
creating a new instance (you can get it from Utils I believe). We never
run Otto this problem since this API
/scala/org/apache/spark/sql/test/ExamplePointUDT.scala
example. But I'm having Kryo Serialization issues, here is stack trace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in
stage 6.0 failed 1 times, most recent failure:
Lost task 0.0 in stage 6.0 (TID 22
Hi,
I want to introduce custom type for SchemaRDD, I'm following this
https://github.com/apache/spark/blob/branch-1.2/sql/core/src/main/scala/org/apache/spark/sql/test/ExamplePointUDT.scala
example. But I'm having Kryo Serialization issues, here is stack trace:
org.apache.spark.SparkException
to be
registered (the error is only when I turn on kryo).
However the code is running smoothly with kryo turned off.
On Wed, Mar 11, 2015 at 5:38 PM, Imran Rashid iras...@cloudera.com wrote:
I'm not sure what you mean. Are you asking how you can recompile all of
spark and deploy it, instead
saying that it needs to be
registered (the error is only when I turn on kryo).
However the code is running smoothly with kryo turned off.
On Wed, Mar 11, 2015 at 5:38 PM, Imran Rashid iras...@cloudera.com
wrote:
I'm not sure what you mean. Are you asking how you can recompile all of
spark
])
If I don't register it, I get a runtime error saying that it needs to be
registered (the error is only when I turn on kryo).
However the code is running smoothly with kryo turned off.
On Wed, Mar 11, 2015 at 5:38 PM, Imran Rashid iras...@cloudera.com
wrote:
I'm not sure what you mean
compiles fine, so I'm not sure what
problem you are running into -- we'd need a lot more info to help
On Tue, Mar 10, 2015 at 6:54 PM, Arun Luthra arun.lut...@gmail.com wrote:
Does anyone know how to get the HighlyCompressedMapStatus to compile?
I will try turning off kryo in 1.2.0 and hope things
Does anyone know how to get the HighlyCompressedMapStatus to compile?
I will try turning off kryo in 1.2.0 and hope things don't break. I want
to benefit from the MapOutputTracker fix in 1.2.0.
On Tue, Mar 3, 2015 at 5:41 AM, Imran Rashid iras...@cloudera.com wrote:
the scala syntax
the scala syntax for arrays is Array[T], not T[], so you want to use
something:
kryo.register(classOf[Array[org.roaringbitmap.RoaringArray$Element]])
kryo.register(classOf[Array[Short]])
nonetheless, the spark should take care of this itself. I'll look into it
later today.
On Mon, Mar 2, 2015
I think this is a Java vs scala syntax issue. Will check.
On Thu, Feb 26, 2015 at 8:17 PM, Arun Luthra arun.lut...@gmail.com wrote:
Problem is noted here: https://issues.apache.org/jira/browse/SPARK-5949
I tried this as a workaround:
import org.apache.spark.scheduler._
import
Problem is noted here: https://issues.apache.org/jira/browse/SPARK-5949
I tried this as a workaround:
import org.apache.spark.scheduler._
import org.roaringbitmap._
...
kryo.register(classOf[org.roaringbitmap.RoaringBitmap])
kryo.register(classOf[org.roaringbitmap.RoaringArray])
I was able to get this working by extending KryoRegistrator and setting the
spark.kryo.registrator property.
On Thu, Feb 12, 2015 at 12:31 PM, Corey Nolet cjno...@gmail.com wrote:
I'm trying to register a custom class that extends Kryo's Serializer
interface. I can't tell exactly what Class
I'm trying to register a custom class that extends Kryo's Serializer
interface. I can't tell exactly what Class the registerKryoClasses()
function on the SparkConf is looking for.
How do I register the Serializer class?
Hi, I want to include if possible Kryo serialization in a project and
first I'm trying to run FlumeEventCount with Kryo. If I comment setAll
method, runs correctly, but if I use Kryo params it returns several errors.
15/02/11 11:42:16 ERROR SparkDeploySchedulerBackend: Asked to remove
non
to load class to
register with Kryo
...
Caused by: java.lang.ClassNotFoundException:
com.dtex.analysis.transform.SummaryData
Note that the class in question SummaryData is in the same package as the
main program and hence in the same jar.
What do I need to do to make this work?
Thanks,
arun
Thanks for the notification!
For now, I'll use the Kryo serializer without registering classes until the
bug fix has been merged into the next version of Spark (I guess that will
be 1.3, right?).
arun
On Sun, Feb 1, 2015 at 10:58 PM, Shixiong Zhu zsxw...@gmail.com wrote:
It's a bug that has
))
===
I get the following error:
Exception in thread main java.lang.reflect.InvocationTargetException
...
Caused by: org.apache.spark.SparkException: Failed to load class to
register with Kryo
...
Caused by: java.lang.ClassNotFoundException
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the default
configuration values set. Using the external shuffle service and
disabling
spill compression makes no difference.
Is this a bug?
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A search shows several historical threads for similar Kryo issues, but none
seem to have a definitive solution. Currently using Spark 1.2.0.
While collecting/broadcasting/grouping moderately sized data sets (~500MB -
1GB), I regularly see exceptions such as the one below.
I’ve tried increasing
I'm new to Spark and have run into issues using Kryo for serialization
instead of Java. I have my SparkConf configured as such:
val conf = new SparkConf().setMaster(local).setAppName(test)
.set(spark.kryo.registrationRequired,false)
.set(spark.serializer, classOf[KryoSerializer
Hello all,
I am using Spark 1.0.2 and I have a custom receiver that works well.
I tried adding Kryo serialization to SparkConf:
val spark = new SparkConf()
…..
.set(spark.serializer, org.apache.spark.serializer.KryoSerializer)
and I am getting a strange error that I am not sure how
that kryo works
well).
I'm running Spark 1.0.0 with the following characteristics:
- 18 executors with 30G each
- Yarn client mode
- ulimit is defined in 500k
- Input data: hdfs file with 1000 partitions and 10 GB of size
Please any hint would be appreciated
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Hi guys,
I get Kryo exceptions of the type unregistered class id and cannot cast
to class when the locality level of the tasks go beyond LOCAL.
However I get no Kryo exceptions during shuffling operations.
If the locality level never goes beyond LOCAL everything works fine.
Is there a special
Is the class com.dataken.spark.examples.MyRegistrator public? if not, change
it to public and give a try.
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version2.24.0/version
/dependency
fixed this
On 2014-12-03 18:15, Robin Keunen wrote:
Hi all,
I am having troubles using Kryo and being new to this kind of
serialization, I am not sure where to look. Can someone please help
me? :-)
Here is my custom class:
public class
Hi all,
I am having troubles using Kryo and being new to this kind of
serialization, I am not sure where to look. Can someone please help me? :-)
Here is my custom class:
public class *DummyClass* implements KryoSerializable {
private static final Logger LOGGER =
LoggerFactory.getLogger
was instead
scala.collection.convert.Wrappers.JListWrapper, as noted in the exception
above. This type was not registered with Kryo and so that's why I got the
exception.
Registering the type did not solve the problem. However, an additional call
to .toBuffer did solve the problem, since the Buffer class
I am using Cassandra-Spark connector to pull data from Cassandra, process
it and write it back to Cassandra.
Now I am getting the following exception, and apparently it is Kryo
serialisation. Does anyone what is the reason and how this can be solved?
I also tried to register
Don't know if this'll solve it, but if you're on Spark 1.1, the Cassandra
Connector version 1.1.0 final fixed the guava back compat issue. Maybe taking
the guava exclusions might help?
Date: Mon, 1 Dec 2014 10:48:25 +0100
Subject: Kryo exception for CassandraSQLRow
From: shahab.mok...@gmail.com
I guess I already have the answer of what I have to do here, which is to
configure the kryo object with the strategy as above.
Now the question becomes: how can I pass this custom kryo configuration to
the spark kryo serializer / kryo registrator?
I've had a look at the code but I am still fairly
The problem was I didn't use the correct class name, it should
be org.apache.spark.*serializer*.KryoSerializer
On Mon, Nov 24, 2014 at 11:12 PM, Daniel Haviv danielru...@gmail.com
wrote:
Hi,
I want to test Kryo serialization but when starting spark-shell I'm
hitting the following error
(ObjectField.java:125)
I have been running into similar issues when using avro classes, that I was
able to resolve by registering them with a Kryo serializer that uses
chill-avro. However, in this case the field is in a case class and it seems
that registering the class does not help.
I found this stack
Hi,
I want to test Kryo serialization but when starting spark-shell I'm hitting
the following error:
java.lang.ClassNotFoundException: org.apache.spark.KryoSerializer
the kryo-2.21.jar is on the classpath so I'm not sure why it's not picking
it up.
Thanks for your help,
Daniel
Hi,
If I look inside algebird Monoid implementation it uses
java.io.Serializable...
But when we use CMS/HLL in examples.streaming.TwitterAlgebirdCMS, I don't
see a KryoRegistrator for CMS and HLL monoid...
In these examples we will run with Kryo serialization on CMS and HLL or
they will be java
How about this?
Class.forName([Lorg.apache.spark.util.collection.CompactBuffer;)
On Tue, Sep 30, 2014 at 5:33 PM, Andras Barjak
andras.bar...@lynxanalytics.com wrote:
Hi,
what is the correct scala code to register an Array of this private spark
class to Kryo
([Lorg.apache.spark.util.collection.CompactBuffer;)
On Tue, Sep 30, 2014 at 5:33 PM, Andras Barjak
andras.bar...@lynxanalytics.com wrote:
Hi,
what is the correct scala code to register an Array of this private spark
class to Kryo?
java.lang.IllegalArgumentException: Class is not registered
Hi,
what is the correct scala code to register an Array of this private spark
class to Kryo?
java.lang.IllegalArgumentException: Class is not registered:
org.apache.spark.util.collection.CompactBuffer[]
Note: To register this class use:
kryo.register
We're running into an error (below) when trying to read spilled shuffle
data back in.
Has anybody encountered this before / is anybody familiar with what causes
these Kryo UnsupportedOperationExceptions?
any guidance appreciated,
Sandy
---
com.esotericsoftware.kryo.KryoException
shuffle
data back in.
Has anybody encountered this before / is anybody familiar with what causes
these Kryo UnsupportedOperationExceptions?
any guidance appreciated,
Sandy
---
com.esotericsoftware.kryo.KryoException
(com.esotericsoftware.kryo.KryoException
.1001560.n3.nabble.com/Kryo-fails-with-avro-having-Arrays-and-unions-but-succeeds-with-simple-avro-tp14549p14649.html
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Hi Mohan,
It’s a bit convoluted to follow in their source, but they essentially typedef
KSerializer as being a KryoSerializer, and then their serializers all extend
KSerializer. Spark should identify them properly as Kryo Serializers, but I
haven’t tried it myself.
Regards,
Frank Austin
Hi frank, thanks for the info, thats great. but im not saying Avro serializer
is failing. Kryo is failing
but
im using kryo serializer. and registering Avro generated classes with kryo.
sparkConf.set(spark.serializer,
org.apache.spark.serializer.KryoSerializer);
sparkConf.set
hi all,
In RDD map , i invoke an object that is *Serialized* by java standard ,
and exception ::
com.esotericsoftware.kryo.KryoException: Buffer overflow. Available: 0,
required: 13
at com.esotericsoftware.kryo.io.Output.require(Output.java:138)
at
Hi,I was able to set this parameter in my application to resolve this issue:
set(spark.kryoserializer.buffer.mb, 256)
Please let me know if this helps.
Date: Mon, 18 Aug 2014 21:50:02 +0800
From: dujinh...@hzduozhun.com
To: user@spark.apache.org
Subject: spark kryo serilizable exception
Hi All,
I was doing a groupBy and apparently some keys were very frequent making
the serializer fail with buffer overflow exception. I did not need a
groupBy so I switched to combineByKey in this case but would like to know
how to increase the kryo buffer sizes to avoid this error. I hope
any pointers to this issue.
Thanks
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PM, Gary Malouf malouf.g...@gmail.com wrote:
After upgrading to Spark 1.0.1 from 0.9.1 everything seemed to be going
well. Looking at the Mesos slave logs, I noticed:
ERROR KryoSerializer: Failed to run spark.kryo.registrator
java.lang.ClassNotFoundException:
com/mediacrossing/verrazano/kryo
Hi there,
I've been sucessfully using the precompiled Spark 1.0.0 Java api on a small
cluster in standalone mode. However, when I try to use Kryo serializer by
adding
conf.set(spark.serializer,org.apache.spark.serializer.KryoSerializer);
as suggested, Spark crashes out with the following error
Message-
From: wxhsdp [mailto:wxh...@gmail.com]
Sent: Wednesday, July 09, 2014 5:47 PM
To: u...@spark.incubator.apache.org
Subject: Re: Kryo is slower, and the size saving is minimal
i'am not familiar with kryo and my opinion may be not right. in my case,
kryo only saves about 5% of the original
Hi
My setup is to use localMode standalone, Sprak 1.0.0 release version, scala
2.10.4
I made a job that receive serialized object from Kafka broker. The objects
are serialized using kryo.
The code :
val sparkConf = new
SparkConf().setMaster(local[4]).setAppName(SparkTest)
.set
Hi,
For my test case, using Kryo serializer does not help.
It is slower than default Java serializer, and the size saving is minimal.
I've registered almost all classes to the Kryo registrator.
What is happening to my test case?
Have Anyone experienced a case like this?
Macbeth so...@yieldbot.com wrote:
Hallo,
I've getting this rather crazy kryo exception trying to run my spark job:
Exception in thread main org.apache.spark.SparkException: Job aborted:
Exception while deserializing and fetching task:
com.esotericsoftware.kryo.KryoException
Is this supposed to be supported? It doesn't work, at least in mesos fine
grained mode. First it fails a bunch of times because it can't find my
registrator class because my assembly jar hasn't been fetched like so:
java.lang.ClassNotFoundException: pickles.kryo.PicklesRegistrator
at
it seems that it dying while trying to fetch results from my tasks to
return back to the driver.
Am I close?
On Fri, May 2, 2014 at 3:35 PM, Soren Macbeth so...@yieldbot.com wrote:
Hallo,
I've getting this rather crazy kryo exception trying to run my spark job:
Exception in thread main
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