It is really different from what you said that on my cluster, and performing format command will not destroy the file system. And if I do not perform format command on datanode, the datanode will not be able to find my the master. Hopefully anybody can tell me the reason.
Konstantin Shvachko 写道: > You just start the new data-node as the cluster is running using > bin/hadoop datanode > The configuration on the new data-node should be the same as on other nodes. > The data-node should join the cluster automatically. > Formatting will destroy your file system. > > --Konstantin > > David Wei wrote: > >> Well, in my cluster, I do this: >> 1. Adding new machines into conf/slaves on master machine >> 2. On the new nodes, run format command >> 3. Back to master, run start-all.sh >> 4. Run start-balancer.sh , still on master >> >> Then I got the new nodes inside my cluster and no need to reboot the >> whole system. >> >> Hopefully this will help. ;=) >> >> >> Ski Gh3 写道: >> >>> I'm not sure I get this. >>> 1. If you format the filesystem (which I thought is usually executed >>> on the master node, but anyway) >>> don't you erase all your data? >>> 2. I guess I need to add the new machine to the conf/slaves file, >>> but then I run the start-all.sh again from the master node while my >>> cluster is already running? >>> >>> Thanks! >>> On Mon, Oct 20, 2008 at 5:59 PM, David Wei <[EMAIL PROTECTED] >>> <mailto:[EMAIL PROTECTED]>> wrote: >>> >>> this is quite easy. U can just config your new datanodes as others >>> and format the filesystem before u start it. >>> Remember to make it ssh-able for your master and run >>> ./bin/start-all.sh on the master machine if you want to start all >>> the deamons. This will start and add the new datanodes to the >>> up-and-running cluster. >>> >>> hopefully my info will be help. >>> >>> >>> Ski Gh3 写道: >>> >>> hi, >>> >>> I am wondering how to add more datanodes to an up-and-running >>> hadoop >>> instance? >>> Couldn't find instructions on this from the wiki page. >>> >>> Thanks! >>> >>> >>> >>> >>> >>> >> >> > >
