ect();*
>
> *return results;*
>
> *} finally {*
>
> *sc.close();*
>
> *}*
>
> *}*
>
>
> When I try to execute this job and try to get the answer. an exception is
> invoked when the collect() instruction is called.
>
> PS: others jobs are ex
an exception is
invoked when the collect() instruction is called.
PS: others jobs are executed without problems.
Thanks,
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 5, 172.22.142.19): java.io.Inva
>>>>>
>>>>> On Thu, Jan 28, 2016 at 1:38 PM, Jason Plurad
>>>>> wrote:
>>>>>
>>>>>> I've searched through the mailing list archive. It seems that if you
>>>>>> try to run, for example, a Spark 1.5.
erial version UID.
>>>>
>>>> Cheers
>>>>
>>>> On Thu, Jan 28, 2016 at 1:38 PM, Jason Plurad
>>>> wrote:
>>>>
>>>>> I've searched through the mailing list archive. It seems that if you
>>>>>
ndalone server, you will run into an exception like this:
>>>>
>>>> WARN org.apache.spark.scheduler.TaskSetManager - Lost task 0.0 in
>>>> stage 0.0 (TID 0, 192.168.14.103): java.io.InvalidClassException:
>>>> org.apache.spark.rdd.RDD; local class inc
park.scheduler.TaskSetManager - Lost task 0.0 in
>>> stage 0.0 (TID 0, 192.168.14.103): java.io.InvalidClassException:
>>> org.apache.spark.rdd.RDD; local class incompatible: stream classdesc
>>> serialVersionUID = -3343649307726848892, local class serialVersionUID =
>&g
e this:
>>
>> WARN org.apache.spark.scheduler.TaskSetManager - Lost task 0.0 in stage
>> 0.0 (TID 0, 192.168.14.103): java.io.InvalidClassException:
>> org.apache.spark.rdd.RDD; local class incompatible: stream classdesc
>> serialVersionUID = -3343649307726848892
e
> 0.0 (TID 0, 192.168.14.103): java.io.InvalidClassException:
> org.apache.spark.rdd.RDD; local class incompatible: stream classdesc
> serialVersionUID = -3343649307726848892, local class serialVersionUID =
> -3996494161745401652
>
> If my application is using a library that buil
TID 0, 192.168.14.103): java.io.InvalidClassException:
org.apache.spark.rdd.RDD; local class incompatible: stream classdesc
serialVersionUID = -3343649307726848892, local class serialVersionUID =
-3996494161745401652
If my application is using a library that builds against Spark 1.5.2, does
that mean th
ted due
to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 3.0 (TID 346, datanode02):
java.io.InvalidClassException: org.apache.spark.rdd.PairRDDFunctions; local
class incompatible: stream classdesc serialVersionUID =
8789839749593513237, l
8] it completes fine.
I thought I had incompatible builds but in the end I’m not quite sure what this
error is telling me
14/10/16 15:21:03 WARN scheduler.TaskSetManager: Loss was due to
java.io.InvalidClassException
java.io.InvalidClassException: org.apache.spark.rdd.RDD; local class
incompa
java.io.InvalidClassException: org.apache.spark.rdd.RDD; local class
incompatible: stream classdesc serialVersionUID = 385418487991259089, local
class serialVersionUID = -6766554341038829528
at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:560)
at
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