Hi Everyone,
I'm using Hadoop 1.0.4 and only define 1 location for name node files, like
this:
property
namedfs.name.dir/name
value/home/hadoop/hadoop-data/namenode/value
/property
Now I want to protect my name node files by changing the configuration to:
property
Tariq probably meant distribution of keys from key, value pair emitted by
mapper.
Partitioner distributes these pairs to different reducers based on key. If data
is such that keys are skewed then most of the records may go to same reducer.
Regards,
Ajay Srivastava
On 17-Apr-2013, at 11:08
Hi Henry,
As per your mail Point number 1 is correct.
After doing these changes metadata will be written in the new partition.
Regards,
Varun Kumar.P
On Wed, Apr 17, 2013 at 11:32 AM, Henry Hung ythu...@winbond.com wrote:
Hi Everyone,
** **
I’m using Hadoop 1.0.4 and only define 1
Yes, That is a valid point.
The partitioner might do non uniform distribution and reducers can be unevenly
loaded.
But this doesn't change the number of reducers and its distribution across
nodes. The bottom issue as I understand is that his reduce tasks are scheduled
on just a few nodes.
Hi Varun Kumar,
Could you be more elaborate about how the new changes being made to new name
node?
The scenario in my mind is:
Suppose old name node metadata contains 100 hdfs files.
Then I restart by using stop-dfs, change config and start-dfs.
Hadoop will automatically create new name node
property
namemapred.tasktracker.map.tasks.maximum/name
value4/value
/property
property
namemapred.tasktracker.reduce.tasks.maximum/name
value4/value
/property
I am not clear the number of reuce slots in each Task tracker.Is it define
in the
modify conf file and restart name node is the best way. you needn't
restart the cluster DFS.
the files in /backup and /home are the same.
于 2013/4/17 14:38, Henry Hung 写道:
Hi Varun Kumar,
Could you be more elaborate about how the new changes being made to
new name node?
The scenario in my
Input path includes data in it. I also tried job.waitFromComplete(true) but
it acts exactly the same.
For what it's worth, in the staging dir in hdfs I do see empty (or cleaned
up) folders created with the correct JT ID and with an incremented count:
job_201304150711_01,
NOT authoritative:
The “new name node” will get the full copy of the name node metadata when you
restart the dfs service.
During the hdfs running , same changes will be made on the name node and the
backup folder.
In fact, it only contains 2 files: FSImage, EditLog
Thanks,
John
Hi Bejoy,
Regarding the output of Map phase, does Hadoop store it in local fs or
in HDFS.
I believe it is in the former. Correct me if I am wrong.
Regards
Ramesh
On Wed, Apr 17, 2013 at 10:30 AM, bejoy.had...@gmail.com wrote:
The data is in HDFS in case of WordCount MR sample.
In
You are correct, map outputs are stored in LFS not in HDFS.
Regards
Bejoy KS
Sent from remote device, Please excuse typos
-Original Message-
From: Ramesh R Nair rameshrkco...@gmail.com
Date: Wed, 17 Apr 2013 13:06:32
To: user@hadoop.apache.org; bejoy.had...@gmail.com
Subject: Re:
I think the problem is I need to report progress() from my cleanup task.
How can I do this?
The commitJob() in my custom
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter[1]
only provides org.apache.hadoop.mapreduce.JobContext[2]
which has no getProgressible() like the old
Hi All,
What is the property name of Hadoop 1.0.4 to change secondary namenode location?
Currently the default in my machine is /tmp/hadoop-hadoop/dfs/namesecondary,
I would like to change it to /data/namesecondary
Best regards,
Henry
The privileged
Hi Henry
You can change the secondary name node storage location by overriding the
property 'fs.checkpoint.dir' in your core-site.xml
On Wed, Apr 17, 2013 at 2:35 PM, Henry Hung ythu...@winbond.com wrote:
Hi All,
** **
What is the property name of Hadoop 1.0.4 to change secondary
Hi Marcos,
You need to consider the slots based on the available memory
Available Memory = Total RAM - (Memory for OS + Memory for Hadoop Daemons
like DN,TT + Memory for other servicess if any running in that node)
Now you need to consider the generic MR jobs planned on your cluster. Say
if
Thank you for the replies. Thankfully, this cluster works with a fairly regular
load, so it shouldn't be too hard to fine-tune.
Regards,
Marcos
On 17-04-2013 09:23, Bejoy Ks wrote:
Hi Marcos,
You need to consider the slots based on the available memory
Available Memory = Total RAM - (Memory
Hi all,
is there a way to use the *getmerge* fs command and not generate the .crc
files in the output local directory?
Thanks,
Fabio Pitzolu**
Use this command:hadoop fs -getmerge <file in hdfs> <local>
—
Sent from Mailbox for iPhone
On Wed, Apr 17, 2013 at 10:40 PM, Fabio Pitzolu fabio.pitz...@gr-ci.com
wrote:
Hi all,
is there a way to use the *getmerge* fs command and not generate the .crc
files in the output local directory?
Apache Flume may help you for this use case. I read an article on
Cloudera's site about using Flume to pull tweets and same idea may apply
here.
On Tue, Apr 16, 2013 at 9:26 PM, David Parks davidpark...@yahoo.com wrote:
For a set of jobs to run I need to download about 100GB of data from the
We have a situation where we want to physically move our small (4 node)
cluster from one data center to another. As part of this move, each node
will receive both a new FQN and a new IP address. As I understand it, HDFS
is somehow tied to the the FQN or IP address, and changing them causes data
Hi Hemanth and Bejoy KS,
I have tried both mapred-site.xml and core-site.xml. They do not work. I set
the value to 50K just for testing purpose, however the folder size already goes
to 900M now. As in your email, After they are done, the property will help
cleanup the files due to the limit
Hi all,
I'm trying to setup an Hadoop client for job submissions (and more) as an
OSGI bundle.
I came over a lot of hardships but I'm kinda stuck now.
When I create a new Job for submission I setClassLoader() for the Job
Configuration so that it would use the bundle's ClassLoader (felix), but
I've posted an article on my website that details precisely how to deploy
Hadoop 2.0 with Yarn on AWS (or least how I did it, whether or not such an
approach will translate to others' circumstances). I had been disappointed
that most articles of this type described the process with much older
You can find it here:
http://blog.cloudera.com/blog/2012/09/analyzing-twitter-data-with-hadoop/
2013/4/17 Peyman Mohajerian mohaj...@gmail.com
Apache Flume may help you for this use case. I read an article on
Cloudera's site about using Flume to pull tweets and same idea may apply
here.
Hi. I sent this a few minutes ago, but I had not confirmed subscription to
the mailing list so I don't think it went through. If it did, I apologize
for the re-post
-
Hello there.
I am operating a cluster that is consistently unable to create three
replicas for a
Hi all,
I wanted to try to install Hadoop on my machine with latest Fedora
release and I'm getting following error:
Test Transaction Errors: file /usr/bin from install of
hadoop-1.1.2-1.i386 conflicts with file from package
filesystem-3.1-2.fc18.x86_64
file /usr/lib from install of
I am looking for an example which is using the new Hadoop 2.0 API to read and
write Sequence Files. Effectively I need to know how to use these functions:
createWriter(Configuration conf,
org.apache.hadoop.io.SequenceFile.Writer.Option... opts)
The Old definition is not working for me:
This is great, Keith.
On Wed, Apr 17, 2013 at 12:58 PM, Keith Wiley kwi...@keithwiley.com wrote:
I've posted an article on my website that details precisely how to deploy
Hadoop 2.0 with Yarn on AWS (or least how I did it, whether or not such an
approach will translate to others'
It may or may not help you in your current distress, but MapR's
distribution could handle this pretty easily.
One method is direct distcp between clusters, but you could also use MapR's
mirroring capabilities to migrate data.
You can also carry a MapR cluster, change the IP addresses and relight
On Wed, Apr 17, 2013 at 3:07 PM, Juraj Jurco jjurco.fo...@gmail.com wrote:
Hi all,
I wanted to try to install Hadoop on my machine with latest Fedora release
and I'm getting following error:
Test Transaction Errors: file /usr/bin from install of hadoop-1.1.2-1.i386
Depending on what
The check for cache file cleanup is controlled by the
property mapreduce.tasktracker.distributedcache.checkperiod. It defaults to
1 minute (which should be sufficient for your requirement).
I am not sure why the JobTracker UI is inaccessible. If you know where JT
is running, try hitting
I don't think that is possible. When we use -getmerge, the destination
filesystem happens to be a LocalFileSystem which extends from
ChecksumFileSystem. I believe that's why the CRC files are getting in.
Would it not be possible for you to ignore them, since they have a fixed
extension ?
Thanks
you can use if even if it's depracated.
I can find in
the org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.java,
@Override
public void initialize(InputSplit split,
TaskAttemptContext context
) throws IOException,
Data nodes name or IP changed cannot cause your data loss. only kept
fsimage(under the namenode.data.dir) and all block data on the data nodes,
then everything can be recoveryed when your start the cluster.
On Thu, Apr 18, 2013 at 1:20 AM, Tom Brown tombrow...@gmail.com wrote:
We have a
Sumit,
I believe we've answered this one before, so you may find
http://search-hadoop.com/m/xp2w02A8bqw1 helpful too.
On Thu, Apr 18, 2013 at 4:14 AM, sumit ghosh sumi...@yahoo.com wrote:
**
I am looking for an example which is using the new Hadoop 2.0 API to
read and write Sequence
Hi everyone
How can I install the MRunit to do the unit test? Is there any requriement
for the tool
My hadoop version is :1.0.4
Except the MRunit, any other test tool available?
BRs
Geelong
--
From Good To Great
Hi,
I want to change cache path because i don't have much space in my root /
fs. I want to change path for hadoop cache files to be create on external
drives. It is standalone hadoop cluster and it is running more than a year.
I want the changes so that it should not effect the running machine. I
37 matches
Mail list logo