The primary NameNode and the JobTracker willĪlways be the machines on which you run the bin/start-dfs.sh and bin/start-mapred.sh scripts, respectively (the In our case, this is just the master machine. Hadoop 1.x documentation /common/docs/… Configuration conf/masters ( master only)ĭespite its name, the conf/masters file defines on which machines Hadoop will start secondary NameNodes in our The rest of the machines in the cluster act as both DataNode and TaskTracker. Typically one machine in the cluster is designated as the NameNode and another machine the as JobTracker, exclusively. Management of the “slave” daemons while the latter will do the actual data storage and data processing work. Basically, the “master” daemons are responsible for coordination and TaskTracker for MapReduce processing layer. Both machines will run the “slave” daemons: DataNode for the HDFS layer, and The master node will run the “master” daemons for each layer: NameNode for the HDFS storage layer, and JobTracker for Update /etc/hosts on both machines with the following lines:įigure 3: How the final multi-node cluster will look like To make it simple, we will assign the IP address 192.168.0.1 to the master machine and 192.168.0.2 to the slave machine. Network interfaces to use a common network such as 192.168.0.x/24.
Apache hadoop installation on linux software#
Hardware and software configuration, for example connect both machines via a single hub or switch and configure the The easiest is to put both machines in the same network with regard to This should come hardly as a surprise, but for the sake of completeness I have to point out that both machines must beĪble to reach each other over the network. Shutdown each single-node cluster with bin/stop-all.sh before continuing if you haven’t done so already. ``node01``) then you must adapt the settings in this tutorial as appropriate. If the hostnames of your machines are different (e.g. We will also give the two machines these respective hostnames in their networking setup, most notably in ``/etc/hosts``. Note: We will call the designated master machine just the ``master`` from now on and the slave-only machine the ``slave``. Now that you have two single-node clusters up and running, we will modify the Hadoop configuration to make one Ubuntuīox the “master” (which will also act as a slave) and the other Ubuntu box a “slave”. Later connect and “merge” the two machines, so pick reasonable network settings etc. Setting up the single-node clusters that we will You might run into problems later when we will migrate the two machines to the final multi-node cluster setup. Recommended that you use the ‘‘same settings’’ (e.g., installation locations and paths) on both machines, or otherwise How to setup up a Hadoop single-node cluster andįollow the steps described there to build a single-node Hadoop cluster on each of the two Ubuntu boxes. The tutorial approach outlined above means that you should read now my previous tutorial on Let’s get started! Prerequisites Configuring single-node clusters first Figure 2: Tutorial approach and structure
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