In the JobTracker website, when I click on a JobId, there is a listing
of completed maps and killed maps. When I click on the number under
the column completed or killed, there is a table with columns as
mentioned below.
Task, Complete, Status, Start Time, Finish Time, Errors
Status column is
Hi,
In one of the map tasks, i get the following exception:
java.io.IOException: Task process exit with nonzero status of 255.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:424)
java.io.IOException: Task process exit with nonzero status of 255.
at
There is no requirement that your hdfs and mapred clusters share an
installation directory, it is just done that way because it is simple and
most people have a datanode and tasktracker on each slave node.
Simply have 2 configuration directories on your cluster machines, and us the
The jvm had a hard failure and crashed
On Sun, Apr 26, 2009 at 11:34 PM, Rakhi Khatwani
rakhi.khatw...@gmail.comwrote:
Hi,
In one of the map tasks, i get the following exception:
java.io.IOException: Task process exit with nonzero status of 255.
at
Thanks Jason,
is there any way we can avoid this exception??
Thanks,
Raakhi
On Mon, Apr 27, 2009 at 1:20 PM, jason hadoop jason.had...@gmail.comwrote:
The jvm had a hard failure and crashed
On Sun, Apr 26, 2009 at 11:34 PM, Rakhi Khatwani
rakhi.khatw...@gmail.comwrote:
Hi,
Hi,
I had sent out an email yesterday asking about how to balance the
cluster after setting the replication level to 2. I have 4 datanodes and
one namenode in my setup.
Using the -R switch with -setrep did the trick but one of my nodes
became under utilized. I then ran hadoop balancer and it
hi,
If I write a large file to HDFS, will it be split into blocks and
multi-blocks are written to HDFS at the same time? Or HDFS can only write
block by block?
Thanks.
--
View this message in context:
http://www.nabble.com/write-a-large-file-to-HDFS--tp23252754p23252754.html
Sent from the
Hi.
I have a question:
If I have N of DataNodes, and one or several of the nodes have become
unavailable, would HDFS re-synchronize the blocks automatically, according
to replication level set?
And if yes, when? As soon as the offline node was detected, or only on file
access?
Regards.
Hi,
The balancer works with the average utilization of all the nodes in the
cluster - in your case it's about 13%. Only nodes that are +/- 10% off the
average will be rebalanced. Node 4 isn't under-utilized because 13-10=3
which is less than 4%. You can use a different threshold than the default
Hi Tamir,
Thanks for the info, makes sense now :).
Cheers,
Usman
Hi,
The balancer works with the average utilization of all the nodes in the
cluster - in your case it's about 13%. Only nodes that are +/- 10% off the
average will be rebalanced. Node 4 isn't under-utilized because 13-10=3
which
Is there some magic to get a Partitioner working on .20.0? Setting
the partitioner class on the Job object doesn't take, hadoop always
uses the HashPartitioner. Looking through the source code, it looks
like the MapOutputBuffer in MapTask only ever fetches the
mapred.partitioner.class, and
Hello,
I'd like to announce the release of the 0.1 version of RHIPE -R and
Hadoop Integrated Processing Environment. Using RHIPE, it is possible
to write map-reduce algorithms using the R language and start them
from within R.
RHIPE is built on Hadoop and so benefits from Hadoop's fault
tolerance,
I have contacted with the administor of our cluster and he gave me the
access. Now my program can work under full distributed mode.
Thanks a lot.
Jasmine
- Original Message -
From: jason hadoop jason.had...@gmail.com
To: core-user@hadoop.apache.org
Sent: Sunday, April 26, 2009 12:13
http://hadoop.apache.org/core/docs/current/hdfs_design.html#Data+Disk+Fa
ilure%2C+Heartbeats+and+Re-Replication
hope this helps.
Koji
-Original Message-
From: Stas Oskin [mailto:stas.os...@gmail.com]
Sent: Monday, April 27, 2009 4:11 AM
To: core-user@hadoop.apache.org
Subject: Blocks
bump*
Any suggestions?
--
View this message in context:
http://www.nabble.com/Datanode-Setup-tp23064660p23259364.html
Sent from the Hadoop core-user mailing list archive at Nabble.com.
You will need to figure out why your task crashed,
Check the task logs, there may be some messages there, that give you a hint
as to what is going on.
you can enable saving failed task logs and then run the task standalone in
the isolation runner.
chapter 7 of my book (alpha available) provides
block by block.
open multiple connections and write multiple files if you are not saturating
your network connection.
Generally a single file writer writing large blocks rapidly will do a decent
job of saturating things.
On Mon, Apr 27, 2009 at 2:22 AM, Xie, Tao xietao1...@gmail.com wrote:
hi,
Ryan,
I observed this behavior too -- Partitioner does not seems to work with the
new API exactly for the reason you have mentioned. Till this gets fixed, you
probably need to use the old API.
Jothi
On 4/27/09 7:14 PM, Ryan Farris farri...@gmail.com wrote:
Is there some magic to get a
I created
https://issues.apache.org/jira/browse/HADOOP-5750
to follow this up.
Thanks
Jothi
On 4/27/09 10:10 PM, Jothi Padmanabhan joth...@yahoo-inc.com wrote:
Ryan,
I observed this behavior too -- Partitioner does not seems to work with the
new API exactly for the reason you have
Hi,
The job froze after the filesystem hung on a machine which had
successfully completed a map task.
Is there a flag to enable the re scheduling of such a task ?
Jstack of job tracker
SocketListener0-2 prio=10 tid=0x08916000 nid=0x4a4f runnable
[0x4d05c000..0x4d05ce30]
Thanks.
2009/4/27 Koji Noguchi knogu...@yahoo-inc.com
http://hadoop.apache.org/core/docs/current/hdfs_design.html#Data+Disk+Fa
ilure%2C+Heartbeats+and+Re-Replicationhttp://hadoop.apache.org/core/docs/current/hdfs_design.html#Data+Disk+Fa%0Ailure%2C+Heartbeats+and+Re-Replication
hope this
I think what you want is the section Task Execution Environment in
http://hadoop.apache.org/core/docs/current/mapred_tutorial.html
http://hadoop.apache.org/core/docs/current/mapred_tutorial.html . Here is a
sample from that document:
property
namemapred.child.java.opts/name
value
Hey Hadoop fans, just wanted to drop a quick note to let you know that
we now have debian packages for our distribution in addition to RPMs.
We will continue to support both platforms going forward.
Todd Lipcon put in many late nights for this, so next time you see
him, but him a beer :-)
OK, last announcement from me today :-)
We're hosting a training session in the SF bay area (at the Cloudera
office) on Friday, May 15th.
We're doing two things differently:
1) We've allocated a chunk of discounted early bird registrations -
first come first serve until May 1st, at which point,
24 matches
Mail list logo