Seems like you have "hive.server2.enable.doAs" enabled; you can either
disable it, or configure hs2 so that the user running the service
("hadoop" in your case) can impersonate others.
See:
https://hadoop.apache.org/docs/r2.7.0/hadoop-project-dist/hadoop-common/Superusers.html
On Fri, Sep 25,
On Fri, Sep 25, 2015 at 10:05 AM, Garry Chen wrote:
> In spark-defaults.conf the spark.master is spark://hostname:7077. From
> hive-site.xml
> spark.master
> hostname
>
That's not a valid value for spark.master (as the error indicates).
You should set it to
Did you look at your application's logs (using the "yarn logs" command?).
That error means your application is failing to create a SparkContext.
So either you have a bug in your code, or there will be some error in
the log pointing at the actual reason for the failure.
On Tue, Sep 22, 2015 at
But that's not the complete application log. You say the streaming
context is initialized, but can you show that in the logs? There's
something happening that is causing the SparkContext to not be
registered with the YARN backend, and that's why your application is
being killed.
If you can share
What Spark package are you using? In particular, which hadoop version?
On Mon, Sep 21, 2015 at 9:14 AM, ekraffmiller
wrote:
> Hi,
> I’m trying to run a simple test program to access Spark though Java. I’m
> using JDK 1.8, and Spark 1.5. I’m getting an Exception
On Mon, Sep 14, 2015 at 6:55 AM, Adrian Bridgett wrote:
> 15/09/14 13:00:25 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
> 10.1.200.245): java.lang.IllegalArgumentException:
> java.net.UnknownHostException: nameservice1
> at
>
Hi,
Just "spark.executor.userClassPathFirst" is not enough. You should
also set "spark.driver.userClassPathFirst". Also not that I don't
think this was really tested with the shell, but that should work with
regular apps started using spark-submit.
If that doesn't work, I'd recommend shading, as
On Thu, Sep 3, 2015 at 5:15 PM, Matei Zaharia wrote:
> Even simple Spark-on-YARN should run as the user that submitted the job,
> yes, so HDFS ACLs should be enforced. Not sure how it plays with the rest of
> Ranger.
It's slightly more complicated than that (without
On Wed, Aug 26, 2015 at 2:03 PM, Jerry jerry.c...@gmail.com wrote:
Assuming your submitting the job from terminal; when main() is called, if I
try to open a file locally, can I assume the machine is always the one I
submitted the job from?
See the --deploy-mode option. client works as you
On Tue, Aug 25, 2015 at 10:48 AM, Utkarsh Sengar utkarsh2...@gmail.com wrote:
Now I am going to try it out on our mesos cluster.
I assumed spark.executor.extraClassPath takes csv as jars the way --jars
takes it but it should be : separated like a regular classpath jar.
Ah, yes, those options
On Tue, Aug 25, 2015 at 1:50 PM, Utkarsh Sengar utkarsh2...@gmail.com wrote:
So do I need to manually copy these 2 jars on my spark executors?
Yes. I can think of a way to work around that if you're using YARN,
but not with other cluster managers.
On Tue, Aug 25, 2015 at 10:51 AM, Marcelo
Hi Utkarsh,
Unfortunately that's not going to be easy. Since Spark bundles all
dependent classes into a single fat jar file, to remove that
dependency you'd need to modify Spark's assembly jar (potentially in
all your nodes). Doing that per-job is even trickier, because you'd
probably need some
/logging/src/main/java/com/opentable/logging/AssimilateForeignLogging.java#L68
Thanks,
-Utkarsh
On Mon, Aug 24, 2015 at 3:04 PM, Marcelo Vanzin van...@cloudera.com wrote:
Hi Utkarsh,
Unfortunately that's not going to be easy. Since Spark bundles all
dependent classes into a single fat jar
On Mon, Aug 24, 2015 at 3:58 PM, Utkarsh Sengar utkarsh2...@gmail.com wrote:
That didn't work since extraClassPath flag was still appending the jars at
the end, so its still picking the slf4j jar provided by spark.
Out of curiosity, how did you verify this? The extraClassPath
options are
That was only true until Spark 1.3. Spark 1.4 can be built with JDK7
and pyspark will still work.
On Fri, Aug 21, 2015 at 8:29 AM, Chen Song chen.song...@gmail.com wrote:
Thanks Sean.
So how PySpark is supported. I thought PySpark needs jdk 1.6.
Chen
On Fri, Aug 21, 2015 at 11:16 AM, Sean
On Tue, Aug 18, 2015 at 12:59 PM, saif.a.ell...@wellsfargo.com wrote:
5 match { case java.math.BigDecimal = 2 }
5 match { case _: java.math.BigDecimal = 2 }
--
Marcelo
-
To unsubscribe, e-mail:
the typed pattern
example.
-Original Message-
From: Marcelo Vanzin [mailto:van...@cloudera.com]
Sent: Tuesday, August 18, 2015 5:15 PM
To: Ellafi, Saif A.
Cc: wrbri...@gmail.com; user@spark.apache.org
Subject: Re: Scala: How to match a java object
On Tue, Aug 18, 2015 at 12:59 PM
On Fri, Aug 14, 2015 at 2:11 PM, Varadhan, Jawahar
varad...@yahoo.com.invalid wrote:
And hence, I was planning to use Spark Streaming with Kafka or Flume with
Kafka. But flume runs on a JVM and may not be the best option as the huge
file will create memory issues. Please suggest someway to
Hi Namit,
There's no need to assign a bug to yourself to say you're working on it.
The recommended way is to just post a PR on github - the bot will update
the bug saying that you have a patch open to fix the issue.
On Mon, Aug 3, 2015 at 3:50 PM, Namit Katariya katariya.na...@gmail.com
wrote:
That should not be a fatal error, it's just a noisy exception.
Anyway, it should go away if you add YARN gateways to those nodes (aside
from Spark gateways).
On Mon, Aug 3, 2015 at 7:10 PM, Upen N ukn...@gmail.com wrote:
Hi,
I recently installed Cloudera CDH 5.4.4. Sparks comes shipped with
On Sat, Aug 1, 2015 at 9:25 AM, Akmal Abbasov akmal.abba...@icloud.com
wrote:
When I running locally(./run-example SparkPi), the event logs are being
created, and I can start history server.
But when I am trying
./spark-submit --class org.apache.spark.examples.SparkPi --master
yarn-cluster
file can be a directory (look at all children) or even a glob
(/path/*.ext, for example).
On Fri, Jul 31, 2015 at 11:35 AM, swetha swethakasire...@gmail.com wrote:
Hi,
How to add multiple sequence files from HDFS to a Spark Context to do Batch
processing? I have something like the following
Can you share the part of the code in your script where you create the
SparkContext instance?
On Thu, Jul 30, 2015 at 7:19 PM, fordfarline fordfarl...@gmail.com wrote:
Hi All,
I`m having an issue when lanching an app (python) against a stand alone
cluster, but runs in local, as it doesn't
Can you run the windows batch files (e.g. spark-submit.cmd) from the cygwin
shell?
On Tue, Jul 28, 2015 at 7:26 PM, Proust GZ Feng pf...@cn.ibm.com wrote:
Hi, Owen
Add back the cygwin classpath detection can pass the issue mentioned
before, but there seems lack of further support in the
Hi Stephen,
There is no such directory currently. If you want to add an existing jar to
every app's classpath, you need to modify two config values:
spark.driver.extraClassPath and spark.executor.extraClassPath.
On Mon, Jul 27, 2015 at 10:22 PM, Stephen Boesch java...@gmail.com wrote:
when
This might be an issue with how pyspark propagates the error back to the
AM. I'm pretty sure this does not happen for Scala / Java apps.
Have you filed a bug?
On Tue, Jul 28, 2015 at 11:17 AM, Elkhan Dadashov elkhan8...@gmail.com
wrote:
Thanks Corey for your answer,
Do you mean that final
BTW this is most probably caused by this line in PythonRunner.scala:
System.exit(process.waitFor())
The YARN backend doesn't like applications calling System.exit().
On Tue, Jul 28, 2015 at 12:00 PM, Marcelo Vanzin van...@cloudera.com
wrote:
This might be an issue with how pyspark
That has never been the correct way to set you app's classpath.
Instead, look at http://spark.apache.org/docs/latest/configuration.html and
search for extraClassPath.
On Wed, Jul 15, 2015 at 9:43 AM, lokeshkumar lok...@dataken.net wrote:
Hi forum
I have downloaded the latest spark version
On Wed, Jul 15, 2015 at 5:36 AM, Jeskanen, Elina elina.jeska...@cgi.com
wrote:
I have Spark 1.4 on my local machine and I would like to connect to our
local 4 nodes Cloudera cluster. But how?
In the example it says text_file = spark.textFile(hdfs://...), but can
you advise me in where to
On Tue, Jul 14, 2015 at 9:57 AM, Shushant Arora shushantaror...@gmail.com
wrote:
When I specify --executor-cores 4 it fails to start the application.
When I give --executor-cores as 4 , it works fine.
Do you have any NM that advertises more than 4 available cores?
Also, it's always worth it
On Tue, Jul 14, 2015 at 11:13 AM, Shushant Arora shushantaror...@gmail.com
wrote:
spark-submit --class classname --num-executors 10 --executor-cores 4
--master masteradd jarname
Will it allocate 10 containers throughout the life of streaming
application on same nodes until any node failure
On Tue, Jul 14, 2015 at 12:03 PM, Shushant Arora shushantaror...@gmail.com
wrote:
Can a container have multiple JVMs running in YARN?
Yes and no. A container runs a single command, but that process can start
other processes, and those also count towards the resource usage of the
container
On Tue, Jul 14, 2015 at 3:42 PM, Elkhan Dadashov elkhan8...@gmail.com
wrote:
I looked into Virtual memory usage (jmap+jvisualvm) does not show that
11.5 g Virtual Memory usage - it is much less. I get 11.5 g Virtual memory
usage using top -p pid command for SparkSubmit process.
If you're
On Tue, Jul 14, 2015 at 10:40 AM, Shushant Arora shushantaror...@gmail.com
wrote:
My understanding was --executor-cores(5 here) are maximum concurrent
tasks possible in an executor and --num-executors (10 here)are no of
executors or containers demanded by Application master/Spark driver
On Tue, Jul 14, 2015 at 9:53 AM, Elkhan Dadashov elkhan8...@gmail.com
wrote:
While the program is running, these are the stats of how much memory each
process takes:
SparkSubmit process : 11.266 *gigabyte* Virtual Memory
ApplicationMaster process: 2303480 *byte *Virtual Memory
That
On Tue, Jul 14, 2015 at 10:55 AM, Shushant Arora shushantaror...@gmail.com
wrote:
Is yarn.scheduler.maximum-allocation-vcores the setting for max vcores per
container?
I don't remember YARN config names by heart, but that sounds promising. I'd
look at the YARN documentation for details.
You cannot run Spark in cluster mode by instantiating a SparkContext like
that.
You have to launch it with the spark-submit command line script.
On Thu, Jul 9, 2015 at 2:23 PM, jegordon jgordo...@gmail.com wrote:
Hi to all,
Is there any way to run pyspark scripts with yarn-cluster mode
SIGTERM on YARN generally means the NM is killing your executor because
it's running over its requested memory limits. Check your NM logs to make
sure. And then take a look at the memoryOverhead setting for driver and
executors (http://spark.apache.org/docs/latest/running-on-yarn.html).
On Tue,
What master are you using? If this is not a local master, you'll need to
set LD_LIBRARY_PATH on the executors also (using
spark.executor.extraLibraryPath).
If you are using local, then I don't know what's going on.
On Fri, Jun 26, 2015 at 1:39 AM, Arunabha Ghosh arunabha...@gmail.com
wrote:
with Mesos.
On Fri, Jun 26, 2015 at 1:20 PM, Marcelo Vanzin van...@cloudera.com
wrote:
On Fri, Jun 26, 2015 at 1:13 PM, Tim Chen t...@mesosphere.io wrote:
So correct me if I'm wrong, sounds like all you need is a principal user
name and also a keytab file downloaded right?
I'm not familiar
On Fri, Jun 26, 2015 at 1:13 PM, Tim Chen t...@mesosphere.io wrote:
So correct me if I'm wrong, sounds like all you need is a principal user
name and also a keytab file downloaded right?
I'm not familiar with Mesos so don't know what kinds of features it has,
but at the very least it would
On Fri, Jun 26, 2015 at 3:09 PM, Dave Ariens dari...@blackberry.com wrote:
Would there be any way to have the task instances in the slaves call the
UGI login with a principal/keytab provided to the driver?
That would only work with a very small number of executors. If you have
many login
. You can check the Hadoop
sources for details. Not sure if there's another way.
*From: *Marcelo Vanzin
*Sent: *Friday, June 26, 2015 6:20 PM
*To: *Dave Ariens
*Cc: *Tim Chen; Olivier Girardot; user@spark.apache.org
*Subject: *Re: Accessing Kerberos Secured HDFS Resources from Spark
, Marcelo Vanzin van...@cloudera.com
wrote:
That sounds like SPARK-5479 which is not in 1.4...
On Thu, Jun 25, 2015 at 12:17 PM, Elkhan Dadashov elkhan8...@gmail.com
wrote:
In addition to previous emails, when i try to execute this command from
command line:
./bin/spark-submit --verbose --master
That sounds like SPARK-5479 which is not in 1.4...
On Thu, Jun 25, 2015 at 12:17 PM, Elkhan Dadashov elkhan8...@gmail.com
wrote:
In addition to previous emails, when i try to execute this command from
command line:
./bin/spark-submit --verbose --master yarn-cluster --py-files
That's not supported. You could use wget / curl to download the file to a
temp location before running spark-submit, though.
On Thu, Jun 11, 2015 at 12:48 PM, Gary Ogden gog...@gmail.com wrote:
I have a properties file that is hosted at a url. I would like to be able
to use the url in the
So, I don't have an explicit solution to your problem, but...
On Wed, Jun 10, 2015 at 7:13 AM, Kostas Kougios
kostas.koug...@googlemail.com wrote:
I am profiling the driver. It currently has 564MB of strings which might be
the 1mil file names. But also it has 2.34 GB of long[] ! That's so
I don't think it's propagated automatically. Try this:
spark-submit --conf spark.executorEnv.PYTHONPATH=... ...
On Wed, Jun 10, 2015 at 8:15 AM, Bob Corsaro rcors...@gmail.com wrote:
I'm setting PYTHONPATH before calling pyspark, but the worker nodes aren't
inheriting it. I've tried looking
If your application is stuck in that state, it generally means your cluster
doesn't have enough resources to start it.
In the RM logs you can see how many vcores / memory the application is
asking for, and then you can check your RM configuration to see if that's
currently available on any single
this.
On Tue, Jun 9, 2015 at 1:01 PM, Marcelo Vanzin van...@cloudera.com wrote:
On Tue, Jun 9, 2015 at 11:31 AM, Matt Kapilevich matve...@gmail.com
wrote:
Like I mentioned earlier, I'm able to execute Hadoop jobs fine even now
- this problem is specific to Spark.
That doesn't necessarily
, it's broken for good.
On Tue, Jun 9, 2015 at 4:12 PM, Marcelo Vanzin van...@cloudera.com
wrote:
Apologies, I see you already posted everything from the RM logs that
mention your stuck app.
Have you tried restarting the YARN cluster to see if that changes
anything? Does it go back
On Tue, Jun 9, 2015 at 11:31 AM, Matt Kapilevich matve...@gmail.com wrote:
Like I mentioned earlier, I'm able to execute Hadoop jobs fine even now -
this problem is specific to Spark.
That doesn't necessarily mean anything. Spark apps have different resource
requirements than Hadoop apps.
On Fri, Jun 5, 2015 at 11:48 AM, Lee McFadden splee...@gmail.com wrote:
Initially I had issues passing the SparkContext to other threads as it is
not serializable. Eventually I found that adding the @transient annotation
prevents a NotSerializableException.
This is really puzzling. How are
Ignoring the serialization thing (seems like a red herring):
On Fri, Jun 5, 2015 at 11:48 AM, Lee McFadden splee...@gmail.com wrote:
15/06/05 11:35:32 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
localhost): java.lang.NoSuchMethodError:
On Fri, Jun 5, 2015 at 12:55 PM, Lee McFadden splee...@gmail.com wrote:
Regarding serialization, I'm still confused as to why I was getting a
serialization error in the first place as I'm executing these Runnable
classes from a java thread pool. I'm fairly new to Scala/JVM world and
there
I talked to Don outside the list and he says that he's seeing this issue
with Apache Spark 1.3 too (not just CDH Spark), so it seems like there is a
real issue here.
On Wed, Jun 3, 2015 at 1:39 PM, Don Drake dondr...@gmail.com wrote:
As part of upgrading a cluster from CDH 5.3.x to CDH 5.4.x I
(bcc: user@spark, cc:cdh-user@cloudera)
If you're using CDH, Spark SQL is currently unsupported and mostly
untested. I'd recommend trying to use it in CDH. You could try an upstream
version of Spark instead.
On Wed, Jun 3, 2015 at 1:39 PM, Don Drake dondr...@gmail.com wrote:
As part of
That code hasn't changed at all between 1.3 and 1.4; it also has been
working fine for me.
Are you sure you're using exactly the same Hadoop libraries (since you're
building with -Phadoop-provided) and Hadoop configuration in both cases?
On Tue, Jun 2, 2015 at 5:29 PM, Night Wolf
You may be the only one not seeing all the logs. Are you sure all the users
are writing to the same log directory? The HS can only read from a single
log directory.
On Wed, May 27, 2015 at 5:33 AM, Jianshi Huang jianshi.hu...@gmail.com
wrote:
No one using History server? :)
Am I the only one
, Jianshi Huang jianshi.hu...@gmail.com
wrote:
Yes, all written to the same directory on HDFS.
Jianshi
On Wed, May 27, 2015 at 11:57 PM, Marcelo Vanzin van...@cloudera.com
wrote:
You may be the only one not seeing all the logs. Are you sure all the
users are writing to the same log directory
Is it just me or does that look completely unrelated to
Spark-the-Apache-project?
On Tue, May 26, 2015 at 10:55 AM, Ted Yu yuzhih...@gmail.com wrote:
Have you looked at https://github.com/spark/sparkjs ?
Cheers
On Tue, May 26, 2015 at 10:17 AM, marcos rebelo ole...@gmail.com wrote:
Hi
Seems like there might be a mismatch between your Spark jars and your
cluster's HDFS version. Make sure you're using the Spark jar that matches
the hadoop version of your cluster.
On Thu, May 21, 2015 at 8:48 AM, roy rp...@njit.edu wrote:
Hi,
After restarting Spark HistoryServer, it failed
$RemotingTerminator:
Shutting down remote daemon.
15/05/19 14:10:47 INFO remote.RemoteActorRefProvider$RemotingTerminator:
Remote daemon shut down; proceeding with flushing remote transports.
15/05/19 14:10:47 INFO spark.SparkContext: Successfully stopped SparkContext
2015-05-19 1:12 GMT+08:00 Marcelo Vanzin
Hi Shay,
Yeah, that seems to be a bug; it doesn't seem to be related to the default
FS nor compareFs either - I can reproduce this with HDFS when copying files
from the local fs too. In yarn-client mode things seem to work.
Could you file a bug to track this? If you don't have a jira account I
exactly the same as SPARK_CLASSPATH. It would be nice
to know whether that is also the case in 1.4 (I took a quick look at the
related code and it seems correct), but I don't have Mesos around to test.
On Fri, May 15, 2015 at 12:04 PM, Marcelo Vanzin van...@cloudera.com
wrote:
On Fri, May
if those options worked differently from
SPARK_CLASSPATH, since they were meant to replace it.
On Fri, May 15, 2015 at 11:54 AM, Marcelo Vanzin van...@cloudera.com
wrote:
Ah, I see. yeah, it sucks that Spark has to expose Optional (and things
it depends on), but removing that would break
What version of Spark are you using?
The bug you mention is only about the Optional class (and a handful of
others, but none of the classes you're having problems with). All other
Guava classes should be shaded since Spark 1.2, so you should be able to
use your own version of Guava with no
Are you actually running anything that requires all those slots? e.g.,
locally, I get this with local[16], but only after I run something that
actually uses those 16 slots:
Executor task launch worker-15 daemon prio=10 tid=0x7f4c80029800
nid=0x8ce waiting on condition [0x7f4c62493000]
Note that `object` is equivalent to a class full of static fields / methods
(in Java), so the data it holds will not be serialized, ever.
What you want is a config class instead, so you can instantiate it, and
that instance can be serialized. Then you can easily do (1) or (3).
On Mon, May 11,
-07:00 Marcelo Vanzin van...@cloudera.com:
Can you get a jstack for the process? Maybe it's stuck somewhere.
On Thu, May 7, 2015 at 11:00 AM, Koert Kuipers ko...@tresata.com wrote:
i am trying to launch the spark 1.3.1 history server on a secure cluster.
i can see in the logs
(Interpreted frame)
On Thu, May 7, 2015 at 2:17 PM, Koert Kuipers ko...@tresata.com wrote:
good idea i will take a look. it does seem to be spinning one cpu at
100%...
On Thu, May 7, 2015 at 2:03 PM, Marcelo Vanzin van...@cloudera.com
wrote:
Can you get a jstack for the process? Maybe it's stuck
Can you get a jstack for the process? Maybe it's stuck somewhere.
On Thu, May 7, 2015 at 11:00 AM, Koert Kuipers ko...@tresata.com wrote:
i am trying to launch the spark 1.3.1 history server on a secure cluster.
i can see in the logs that it successfully logs into kerberos, and it is
On Thu, May 7, 2015 at 7:39 PM, felicia shsh...@tsmc.com wrote:
we tried to add /usr/lib/parquet/lib /usr/lib/parquet to SPARK_CLASSPATH
and it doesn't seems to work,
To add the jars to the classpath you need to use /usr/lib/parquet/lib/*,
otherwise you're just adding the directory (and not
What Spark tarball are you using? You may want to try the one for hadoop
2.6 (the one for hadoop 2.4 may cause that issue, IIRC).
On Tue, May 5, 2015 at 6:54 PM, felicia shsh...@tsmc.com wrote:
Hi all,
We're trying to implement SparkSQL on CDH5.3.0 with cluster mode,
and we get this error
Are you using a Spark build that matches your YARN cluster version?
That seems like it could happen if you're using a Spark built against
a newer version of YARN than you're running.
On Thu, Apr 2, 2015 at 12:53 AM, 董帅阳 917361...@qq.com wrote:
spark 1.3.0
spark@pc-zjqdyyn1:~ tail
On top of what's been said...
On Wed, Apr 22, 2015 at 10:48 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) deepuj...@gmail.com wrote:
1) I can go to Spark UI and see the status of the APP but cannot see the
logs as the job progresses. How can i see logs of executors as they progress
?
Spark 1.3 should have links to the
You'd have to use spark.{driver,executor}.extraClassPath to modify the
system class loader. But that also means you have to manually
distribute the jar to the nodes in your cluster, into a common
location.
On Thu, Apr 23, 2015 at 6:38 PM, Night Wolf nightwolf...@gmail.com wrote:
Hi guys,
No, those have to be local paths.
On Thu, Apr 23, 2015 at 6:53 PM, Night Wolf nightwolf...@gmail.com wrote:
Thanks Marcelo, can this be a path on HDFS?
On Fri, Apr 24, 2015 at 11:52 AM, Marcelo Vanzin van...@cloudera.com
wrote:
You'd have to use spark.{driver,executor}.extraClassPath
I think Michael is referring to this:
Exception in thread main java.lang.IllegalArgumentException: You
must specify at least 1 executor!
Usage: org.apache.spark.deploy.yarn.Client [options]
spark-submit --conf spark.dynamicAllocation.enabled=true --conf
spark.dynamicAllocation.minExecutors=0
Set spark.yarn.maxAppAttempts=1 if you don't want retries.
On Thu, Apr 9, 2015 at 10:31 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) deepuj...@gmail.com wrote:
Hello,
I have a spark job with 5 stages. After it runs 3rd stage, the console shows
15/04/09 10:25:57 INFO yarn.Client: Application report for
spark.eventLog.dir should contain the full HDFS URL. In general,
this should be sufficient:
spark.eventLog.dir=hdfs:/user/spark/applicationHistory
On Wed, Apr 8, 2015 at 6:45 AM, Vijayasarathy Kannan kvi...@vt.edu wrote:
I am trying to run a Spark application using spark-submit on a cluster
BTW, just out of curiosity, I checked both the 1.3.0 release assembly
and the spark-core_2.10 artifact downloaded from
http://mvnrepository.com/, and neither contain any references to
anything under org.eclipse (all referenced jetty classes are the
shaded ones under org.spark-project.jetty).
On
The Spark history server does not have the ability to serve executor
logs currently. You need to use the yarn logs command for that.
On Tue, Apr 7, 2015 at 2:51 AM, donhoff_h 165612...@qq.com wrote:
Hi, Experts
I run my Spark Cluster on Yarn. I used to get executors' Logs from Spark's
History
Maybe you have some sbt-built 1.3 version in your ~/.ivy2/ directory that's
masking the maven one? That's the only explanation I can come up with...
On Tue, Apr 7, 2015 at 12:22 PM, Jacek Lewandowski
jacek.lewandow...@datastax.com wrote:
So weird, as I said - I created a new empty project
FYI I wrote a small test to try to reproduce this, and filed
SPARK-6688 to track the fix.
On Tue, Mar 31, 2015 at 1:15 PM, Marcelo Vanzin van...@cloudera.com wrote:
Hmmm... could you try to set the log dir to
file:/home/hduser/spark/spark-events?
I checked the code and it might be the case
Try sbt assembly instead.
On Wed, Apr 1, 2015 at 10:09 AM, Vijayasarathy Kannan kvi...@vt.edu wrote:
Why do I get
Failed to find Spark assembly JAR.
You need to build Spark before running this program. ?
I downloaded spark-1.2.1.tgz from the downloads page and extracted it.
When I do sbt
a text file, closed it an
viewed it, and deleted it (iii). My findings were reconfirmed by my
colleague. Any other ideas?
Thanks,
Tom
On 30 March 2015 at 19:19, Marcelo Vanzin van...@cloudera.com wrote:
So, the error below is still showing the invalid configuration.
You mentioned
Are those config values in spark-defaults.conf? I don't think you can
use ~ there - IIRC it does not do any kind of variable expansion.
On Mon, Mar 30, 2015 at 3:50 PM, Tom thubregt...@gmail.com wrote:
I have set
spark.eventLog.enabled true
as I try to preserve log files. When I run, I get
This sounds like SPARK-6532.
On Mon, Mar 30, 2015 at 1:34 PM, ARose ashley.r...@telarix.com wrote:
So, I am trying to build Spark 1.3.0 (standalone mode) on Windows 7 using
Maven, but I'm getting a build failure.
java -version
java version 1.8.0_31
Java(TM) SE Runtime Environment (build
and spark-env:
Log directory /home/hduser/spark/spark-events does not exist.
(Also, in the default /tmp/spark-events it also did not work)
On 30 March 2015 at 18:03, Marcelo Vanzin van...@cloudera.com wrote:
Are those config values in spark-defaults.conf? I don't think you can
use ~ there - IIRC
So, the error below is still showing the invalid configuration.
You mentioned in the other e-mails that you also changed the
configuration, and that the directory really, really exists. Given the
exception below, the only ways you'd get the error with a valid
configuration would be if (i) the
bcc: user@, cc: cdh-user@
I recommend using CDH's mailing list whenever you have a problem with CDH.
That being said, you haven't provided enough info to debug the
problem. Since you're using CM, you can easily go look at the History
Server's logs and see what the underlying error is.
On Thu,
The probably means there are not enough free resources in your cluster
to run the AM for the Spark job. Check your RM's web ui to see the
resources you have available.
On Wed, Mar 25, 2015 at 12:08 PM, Khandeshi, Ami
ami.khande...@fmr.com.invalid wrote:
I am seeing the same behavior. I have
spark-submit --files /path/to/hive-site.xml
On Tue, Mar 24, 2015 at 10:31 AM, Udit Mehta ume...@groupon.com wrote:
Another question related to this, how can we propagate the hive-site.xml to
all workers when running in the yarn cluster mode?
On Tue, Mar 24, 2015 at 10:09 AM, Marcelo Vanzin
It does neither. If you provide a Hive configuration to Spark,
HiveContext will connect to your metastore server, otherwise it will
create its own metastore in the working directory (IIRC).
On Tue, Mar 24, 2015 at 8:58 AM, nitinkak001 nitinkak...@gmail.com wrote:
I am wondering if HiveContext
/spark-submit --class App1 --conf
spark.driver.userClassPathFirst=true --conf
spark.executor.userClassPathFirst=true
$HOME/projects/sparkapp/target/scala-2.10/sparkapp-assembly-1.0.jar
Thanks,
Alexey
On Tue, Mar 24, 2015 at 5:03 AM, Marcelo Vanzin van...@cloudera.com wrote:
You could build
Hi there,
On Tue, Mar 24, 2015 at 1:40 PM, Manoj Samel manojsamelt...@gmail.com wrote:
When I run any query, it gives java.lang.NoSuchMethodError:
com.google.common.hash.HashFunction.hashInt(I)Lcom/google/common/hash/HashCode;
Are you running a custom-compiled Spark by any chance?
Does your application actually fail?
That message just means there's another application listening on that
port. Spark should try to bind to a different one after that and keep
going.
On Tue, Mar 24, 2015 at 12:43 PM, , Roy rp...@njit.edu wrote:
I get following message for each time I run spark
On Mon, Mar 23, 2015 at 2:15 PM, Manoj Samel manojsamelt...@gmail.com wrote:
Found the issue above error - the setting for spark_shuffle was incomplete.
Now it is able to ask and get additional executors. The issue is once they
are released, it is not able to proceed with next query.
That
You could build a far jar for your application containing both your
code and the json4s library, and then run Spark with these two
options:
spark.driver.userClassPathFirst=true
spark.executor.userClassPathFirst=true
Both only work in 1.3. (1.2 has spark.files.userClassPathFirst, but
that
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