Dear all,
I setup hadoop cluster with following struture
1 Namenode named server1;
4 datanodes named server1,server2,server3,server4.
Hadoop cluster capacity: 128G
DFS used : 49G
i want to detach server1 from cluster but time consumed slowly. I don't
know why?
Any idea for me
Thanks in
I have no problem with Hadoop.mapred using JobConf to setInt integers and pass
them to my map(s) for getInt as shown in the first program below. However,
when I use Hadoop.mapreduce using Configuration to setInt these values are
invisible to my map's getInt's. Please tell me what I am doing
The Job class copies the Configuraiton that you pass in. You either
need to do your conf.setInt(number, 12345) before you create the Job
object or you need call job.getConfiguration().setInt(number,
12345).
-Joey
On Tue, Oct 4, 2011 at 12:28 PM, Ratner, Alan S (IS)
alan.rat...@ngc.com wrote:
I
Here's an even more basic question. I tried to figure out what
the FILE_BYTES_READ means by searching every file in the hadoop 0.20.203.0
installation for the string FILE_BYTES_READ installation by running
find . -type f | xargs grep FILE_BYTES_READ
I only found this string in source files
I am trying to use distcp to copy a file from one HDFS to another.
But while copying I am getting the following exception :
hadoop distcp hdfs://ub13:54310/user/hadoop/weblog
hdfs://ub16:54310/user/hadoop/weblog
11/10/05 10:41:01 INFO mapred.JobClient: Task Id :
Currently, we've got defined:
property
namehadoop.tmp.dir/name
value/hadoop/hadoop-metadata/cache//value
/property
In our experiments with SOLR, the intermediate files are so large that they
tend to blow out disk space and fail (and annoyingly leave behind their huge
failed
I just read this:
MapReduce performance can also be improved by distributing the temporary
data generated by MapReduce tasks across multiple disks on each machine:
property
namemapred.local.dir/name
value/d1/mapred/local,/d2/mapred/local,/d3/mapred/local,/d4/mapred/local/value
