It sounds like a mismatch in the spark version ship in oozie and the runtime
one.
Regards
JB
On Aug 18, 2016, 07:36, at 07:36, tkg_cangkul wrote:
>hi olivier, thx for your reply.
>
>this is the full stacktrace :
>
>Failing Oozie Launcher, Main class
Agreed.
Regards
JB
On Aug 18, 2016, 07:32, at 07:32, Olivier Girardot
wrote:
>CC'ing dev list, you should open a Jira and a PR related to it to
>discuss it c.f.
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!
The Apache Beam (http://beam.incubator.apache.org/) project is a unified
model for building data pipelines using Google’s Dataflow programming
model, and now it supports Spark as well!
Take it for a ride on your Spark cluster!
Thanks,
Amit
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IS
"+ *accum.value(*)); *return**null*;}
});
jssc.start();
If I comment rdd.saveAsTextFile I get correct count, but with
rdd.saveAsTextFile for each input I am getting multiple accumulator count.
Thanks,
Rachana
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-Baptiste Onofré
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as a stable release?
Thanks
Jung
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d.java:606) at
com.martiansoftware.nailgun.NGSession.run(NGSession.java:319)
The IDE I'm using is Jetbrains IntelliJIDea 15 CE.
I'm suspecting it's classpath issue but not sure how to further debug.
Thanks Haijia
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For add
1.5.1. Can someone please attempt to reproduce before I
open a JIRA issue for it?
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1.6?
pls help.
There are a few methods with changed params, and a few deprecated ones
that need to be documented.
Thanks
Ravi
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> # spark.driver.memory 5g
> # spark.executor.extraJavaOptions -XX:+PrintGCDetails
-Dkey=value -Dnumbers="one two three"
>
>
> regards
> Bala
>
> On 2 November 2015 at 12:21, Je
-2015 3:15 pm, "Balachandar R.A." <balachandar...@gmail.com
<mailto:balachandar...@gmail.com>> wrote:
No.. I am not using yarn. Yarn is not running in my cluster. So, it
is standalone one.
Regards
Bala
On 02-Nov-2015 3:11 pm, "Jean-Baptiste
eSystemClass(FileSystem.java:2584)at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)at
org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)|
Any help here to move towards fixing this will be of great help
Thanks
Bala
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Hi
The compiled version (master side) and client version diverge on spark network
JavaUtils. You should use the same/aligned version.
RegardsJB
Sent from my Samsung device
Original message
From: Raghuveer Chanda
Date: 21/10/2015 12:33
instead of the runtime type.
Cheers,
Eugen
2015-10-15 13:41 GMT+07:00 Jean-Baptiste Onofré
<j...@nanthrax.net <mailto:j...@nanthrax.net>
<mailto:j...@nanthrax.net <mailto:j...@nanthrax.net>>>
hil
On Thu, Oct 15, 2015 at 10:35 PM, Jean-Baptiste Onofré <j...@nanthrax.net
<mailto:j...@nanthrax.net>> wrote:
Hi Phil,
sorry I didn't have time to investigate yesterday (I was on a couple
of other Apache projects ;)). I will try to do it today. I keep you
posted.
Hi Phil,
as you can see in the Jira, I tried with both Spark 1.5.1 and
1.6.0-SNAPSHOT, and I'm not able to reproduce your issue.
What's your Java version (and I guess you use scala 2.10 for
compilation, not -Pscala-2.11) ?
Regards
JB
On 10/20/2015 03:59 PM, Jean-Baptiste Onofré wrote:
Hi
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http://b
ning the streaming job locally, and also in EMR with release
4.1.0 that includes Spark 1.5
Very strange!
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From: "Jean-Baptiste Onofré" <j...@nanthrax.net <mailto:j...@nanthrax.net>>
To: user@spark.apache.org <mailto:user@sp
initely happen depending on the
lib used and its configuration that it just doesn't preserve the
concrete type. So it would deserialize using the compile type
instead of the runtime type.
Cheers,
Eugen
2015-10-15 13:41 GMT+07:00 Jean-Baptiste O
://spark.apache.org/docs/latest/streaming-kinesis-integration.html with
bin/run-example streaming.KinesisWordCountASL
Am I doing something incorrect?
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By correct, I mean: the map declaration looks good to me, so the
ClassCastException is weird ;)
I'm trying to reproduce the issue in order to investigate.
Regards
JB
On 10/15/2015 08:03 AM, Jean-Baptiste Onofré wrote:
Hi Phil,
KinesisReceiver is part of extra. Just a dumb question: did you
, Wang, Ningjun (LNG-NPV) wrote:
I checked master log before and did not find anything wrong. Unfortunately I
have lost the master log now.
So you think master log will tell you why executor is down?
Regards,
Ningjun Wang
-Original Message-
From: Jean-Baptiste Onofré [mailto:j..
that
my browser proxy is not the cause of this problem.
Joshua
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F
Thanks for the update Joshua.
Let me try with Spark 1.4.1.
I keep you posted.
Regards
JB
On 10/13/2015 04:17 PM, Joshua Fox wrote:
* Spark 1.4.1, part of EMR emr-4.0.0
* Chrome Version 41.0.2272.118 (64-bit) on Ubuntu
On Tue, Oct 13, 2015 at 3:27 PM, Jean-Baptiste Onofré &l
eader.load(DataFrameReader.scala:120)
at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:104)
at
org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:219)
at
org.apache.saif.loaders.DataLoader$.load_json(DataLoader.scala:86)
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Thanks
Ningjun Wang
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r-h...@spark.apache.org
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but are unable to connect back to
the driver.
How do I resolve this?
Also, I need help in locating the driver and executor node logs.
Thanks.
Regards,
Sushrut Ikhar
https://about.me/sushrutikhar
<https://about.me/sushrutikhar?promo=email_sig>
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2 - 32 GB memory
). my input data of size 128 GB.
How to solve this exception ? is it depends on driver.memory and
execuitor.memory setting ?
*Thanks*,
<https://in.linkedin.com/in/ramkumarcs31>
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nformation transmitted by this email including damage from virus."
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