(c) Copyright 2012 WibiData, Inc.

bento-cluster ${project.version}

bento-cluster is a tool for the Hadoop ecosystem that makes it easy to run and interact with HDFS, MapReduce, and HBase clusters running on your local machine. bento-cluster helps you setup a suitable environment for testing and prototyping projects that use HDFS, MapReduce, and HBase with little setup time.

Quick start

Untar bento-cluster

Untar your bento-cluster distribution into a location convenient for you. We suggest your home directory. We'll call the path to your bento-cluster distribution $BENTO_CLUSTER_HOME.

tar xzvf bento-cluster-${project.version}-release.tar.gz. mv bento-cluster-${project.version} $BENTO_CLUSTER_HOME

Configure your system to use bento-cluster.

bento-cluster includes a script that will configure your environment to use the HDFS, MapReduce and HBase clusters managed by bento-cluster. Run:

source $BENTO_CLUSTER_HOME/bin/bento-env.sh

to configure your environment. Add this line to your ~/.bashrc file to ensure your environment is always configured for bento-cluster.

bento-env.sh configures your environment to use the Hadoop ecosystem distributions included with bento-cluster, as well as the clusters we'll soon use bento-cluster to start. It also adds the hadoop, hbase, and bento scripts to your $PATH, making them available as top-level commands.

Start bento-cluster.

Now that your system is configured to use bento-cluster, you can use the bento script to start your local HDFS, MapReduce, and HBase clusters.

bento start

Use the Hadoop ecosystem.

With the clusters started, you can run Hadoop ecosystem tools. To list your home directory in HDFS, for example, run:

hadoop fs -ls

The hadoop and hbase scripts are available for use. You can also use other Hadoop ecosystem tools like kiji, hive, or pig and they will use the clusters when run in an environment configured with bento-env.sh.

Stop bento-cluster.

When you're ready to call it a day, you can stop bento-cluster by running:

bento stop

This will shutdown the HBase, MapReduce, and HDFS clusters managed by bento-cluster.

The bento script

The bento script includes tools for starting and stopping bento-cluster. Use:

bento help

for full usage information.

Cluster data and logs.

The bento-cluster distribution contains a directory $BENTO_CLUSTER_HOME/state that holds cluster data and logs. Logs written by MapReduce jobs can be found in $BENTO_CLUSTER_HOME/state/userlogs.

Cluster configuration

The Hadoop and HBase clusters included with bento-cluster (in the directory $BENTO_CLUSTER_HOME/lib) contain directories named conf that contain the Hadoop and HBase XML configuration files. The first time you start bento-cluster, bento-cluster will configure the ports used by Hadoop and HBase and write configuration XML files to these directories.

To manually run the port configuration utility, use:

bento config

For more information on using the port configuration utility, use:

bento config --help

For convenience, bento-cluster also creates a directory $BENTO_CLUSTER_HOME/cluster-conf containing symlinks to the Hadoop and HBase XML configuration files. You may edit the files core-site.xml, mapred-site.xml, hdfs-site.xml and hbase-site.xml linked in this directory to further configure the clusters started by bento-cluster. Note that some standard Hadoop and HBase configuration parameters are controlled by bento-cluster and cannot be set by the user. See the XML files for a listing of specific parameters that cannot be overridden.

Troubleshooting

When run on a local machine, HDFS, MapReduce, and HBase clusters may fail or behave unexpectedly if the machine is suspended. Users who encounter problems after a suspend should stop and then start bento-cluster to recover.

The HDFS and MapReduce HTTP status pages exported by the NameNode (http://localhost:50070) and JobTracker (http://localhost:50030) are only accessible from localhost. Attempts to view these status pages from a machine other than the one the bento-cluster is running on will fail.