I want to remove hadoop directory,so I use hadoop fs -rmr,but it can't
remove,why?
[hdfs@localhost hadoop-2.2.0]$ hadoop fs -ls
Found 2 items
drwxr-xr-x - hdfs supergroup 0 2014-07-01 17:52
QuasiMonteCarlo_1404262305436_855154103
drwxr-xr-x - hdfs supergroup 0 2014-07-01
http://www.unmeshasreeveni.blogspot.in/2014/04/name-node-is-in-safe-mode-how-to-leave.html
hadoop fs -rm r QuasiMonteCarlo_1404262305436_855154103
On Wed, Jul 2, 2014 at 11:56 AM, EdwardKing zhan...@neusoft.com wrote:
I want to remove hadoop directory,so I use hadoop fs -rmr,but it can't
I use hadoop2.2.0 , I start hadoop-daemon service,like follows:
[hdfs@localhost logs]$ hadoop-daemon.sh start namenode
[hdfs@localhost logs]$ hadoop-daemon.sh start secondarynamenode
[hdfs@localhost logs]$ hadoop-daemon.sh start datanode
[hdfs@localhost logs]$ jps
4135 NameNode
4270
pull out the logs from datanode log file
it will tell why it stopped
On Wed, Jul 2, 2014 at 2:05 PM, EdwardKing zhan...@neusoft.com wrote:
I use hadoop2.2.0 , I start hadoop-daemon service,like follows:
[hdfs@localhost logs]$ hadoop-daemon.sh start namenode
[hdfs@localhost logs]$
I find logs,but I don't know how to do it. Thanks
2014-07-02 01:07:38,473 FATAL org.apache.hadoop.hdfs.server.datanode.DataNode:
Initialization failed for block pool Block pool
BP-279671289-127.0.0.1-1404285849267 (storage id
DS-601761441-127.0.0.1-50010-1404205370190) service to
see this error
ava.io.IOException: Incompatible clusterIDs in /home/yarn/hadoop-2.2.0/hdfs/dn:
namenode clusterID = CID-c91ccd10-8ea0-4fb3-9037-d5f57694674e; datanode
clusterID = CID-89e2e0b8-2d61-4d6a-9424-ab46e4f83cab
Did you format your namenode ? after formatting the namenode did you delete
just use rm -rf command inside the datanode directory
On Wed, Jul 2, 2014 at 2:33 PM, EdwardKing zhan...@neusoft.com wrote:
I only format namenode,I don't delete the contents for datanode
directory, because I don't know which command to delete them. How to do it?
Thanks.
[hdfs@localhost
Hi All,
I would like to know the reason behind not calling
editLog.recoverUnclosedStreams()
in initEditLog method of FSImage.java.
public void initEditLog(StartupOption startOpt) throws IOException {
Preconditions.checkState(getNamespaceID() != 0,
Must know namespace ID before
Hello everyone,
we're happy to announce that we have just released Pydoop 0.12.0
(http://pydoop.sourceforge.net).
The main changes with respect to the previous version are:
* support for YARN in CDH
* explicit support for CDH 4.4 and 4.5
Mauro Del Rio has done all the work for this
Hello everyone,
we're happy to announce that we have just released Pydoop 0.12.0
(http://pydoop.sourceforge.net).
The main changes with respect to the previous version are:
* support for YARN in CDH
* explicit support for CDH 4.4 and 4.5
Mauro Del Rio has done all the work for this
Use Hadoop dfsadmin -safemode leave
Then you can delete
On Jul 2, 2014 6:37 PM, Chris Mawata chris.maw...@gmail.com wrote:
The NameNode is in safe mode so it is read only.
On Jul 2, 2014 2:28 AM, EdwardKing zhan...@neusoft.com wrote:
I want to remove hadoop directory,so I use hadoop fs
Hi，friend：
I have submit a JIRA issue on how to limit MRJob's stdout/stderr size
and I have done a part of the work.
@https://issues.apache.org/jira/browse/YARN-223
This is a very meaningful feature , but now I meet with difficulties . So I
need help.
Thanks
Also, investigate why it is happening. Usually it is a block replication
issue like a replication factor greater than the number of DataNodes.
Chris
On Jul 2, 2014 9:32 AM, hadoop hive hadooph...@gmail.com wrote:
Use Hadoop dfsadmin -safemode leave
Then you can delete
On Jul 2, 2014 6:37 PM,
I tried adding the dependency in hadoop-project/pom.xml (because thats
where many other jars are defined too). But it didn't work for me. Any
other ideas?
Thanks,
Rajat
On Tue, Jul 1, 2014 at 10:11 PM, Tsuyoshi OZAWA ozawa.tsuyo...@gmail.com
wrote:
I added it in the pom.xml file (inside
Hi all,
I have a small hadoop 2.2.0 development cluster consist of a master node (
namenode+resoucemanager ), and 4 slave nodes ( datanodes+nodemanager).
My configuration is as such that it enables me dynamically add slave nodes
by executing commands:
.../sbin/hadoop-daemons.sh start datanode
hmm..Its interesting. When I added it in
hadoop-hdfs-project/hadoop-hdfs/pom.xml it downloaded the jar locally. Any
ideas why it doesn't work inside the yarn project?
On Wed, Jul 2, 2014 at 10:09 AM, Rajat Jain rajat...@gmail.com wrote:
I tried adding the dependency in hadoop-project/pom.xml
Not exactly. There are of course major implementation differences and then
some subtle and high level ones too.
My 2-cents:
Spark is in-memory M/R and it simulated streaming or real-time distributed
process for large datasets by micro-batching. The gain in speed and
performance as opposed to
Spark Streaming discretizes the stream by configurable intervals of no less
than 500Milliseconds. Therefore it is not appropriate for true real time
processing.So if you need to capture events in the low 100's of milliseonds
range or less than stick with Storm (at least for now).
If you can
My personal thoughts on this.
I approach this problem in a different way. Map/Reduce is not a framework
or a technology. It was a paradigm for distributed and parallel processing
which can be implemented in different frameworks and style. So given that,
I don't think there is as such any harm in
If a datanode is shut-downed by calling hadoop-daemons.sh stop datanode,
how would the namenode gets notified that a datanode is no longer active?
does datanode send a SHUTDOWN_MSG to the namenode? does namenode has to
wait for heartbeat timeout?
You will not be arriving at a generic stack without oversimplifying to the
point of serious deficiencies. There are as you say a multitude of
options. You are attempting to boil them down to A vs B as opposed to A
may work better under the following conditions ..
2014-07-02 13:25 GMT-07:00
You also might want to increase values for mapreduce.{map,reduce}.memory.mb
to 1280 or 1536 or so (assuming that mapreduce.{map,reduce}.java.opts =
-Xmx1024m).
mapreduce.{map,reduce}.memory.mb is logical size of the container and it
should be larger than mapreduce.{map,reduce}.java.opts that
From a high level that makes sense but I have no idea how you’d implement
that. You can’t have expertise in everything. For example Mongo and Cassandra
are both complex databases that require a decent amount of knowledge to make
run properly. But they are entirely different in the way they
Generally Datanode sends it heartbeat to namenode for every 3 seconds.
If datanode stops sending its heartbeat to name node with in 3
seconds,Namenode thinks it is dead.
On Wed, Jul 2, 2014 at 5:03 PM, MrAsanjar . afsan...@gmail.com wrote:
If a datanode is shut-downed by calling
Hi,friend:
When a MRJob print too much stdout or stderr log, the disk will be filled.
Now it has influence our platform management.
I have improved org.apache.hadoop.mapred.MapReduceChildJVM.java(come
from@org.apache.hadoop.mapred.TaskLog) to generate the execute cmd
as follows:
A Heartbeat mechanism
Hadoop cluster is a master/slave mode, master includes namenode+resoucemanager,
slave includes datanodes+nodemanager
Master starts, will open a IPC server there, waiting for the slave heartbeat.
Slave startup, will connect to the master, and every 3 seconds to master
Hi,
I have the following code and am using hadoop 2.4:
In my driver:
Configuration conf = new Configuration();
conf.set(sub, help);
..
String s = conf.get(sub²);
In my reducer:
Configuration conf = context.getConfiguration();
conf.set(sub,
Configuration is from an architecture point of view immutable once the job
is started even though the API does not reflect that explicitly.
I would say in a record. But the question is : what do you want to achieve?
Regards
Bertrand Dechoux
On Thu, Jul 3, 2014 at 7:37 AM, Chris MacKenzie
I will second Stephen. At best you will arrive at a point where you can
tell I don't care about your problems here is the solution. Even though
it sounds attractive if you are paid to set up the solution, that's really
not the position a 'client' would want you to hold.
Bertrand Dechoux
On Thu,
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