Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data. This charm manages the YARN master node (ResourceManager).
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
This charm deploys a node running the ResourceManager component of Apache Hadoop 2.4.1, which manages the computation resources and job execution for the platform.
This charm is intended to be deployed via one of the apache bundles. For example:
juju quickstart apache-analytics-sql
This will deploy the Apache Hadoop platform with Apache Hive available to perform SQL-like queries against your data.
You can also manually load and run map-reduce jobs via the plugin charm included in the bigdata bundles linked above:
juju scp my-job.jar plugin/0: juju ssh plugin/0 hadoop jar my-job.jar
This charm supports monitoring via Ganglia. To enable monitoring, you must do both of the following (the order does not matter):
- Add a relation to the Ganglia charm via the
- Enable the
juju add-relation yarn-master ganglia:master juju set yarn-master ganglia_metrics=true
Enabling monitoring will issue restart the ResourceManager and all NodeManager components on all of the related compute-slaves. Take care to ensure that there are no running jobs when enabling monitoring.
Deploying in Network-Restricted Environments
The Apache Hadoop charms can be deployed in environments with limited network access. To deploy in this environment, you will need a local mirror to serve the packages and resources required by these charms.
You can setup a local mirror for apt packages using squid-deb-proxy. For instructions on configuring juju to use this, see the Juju Proxy Documentation.
In addition to apt packages, the Apache Hadoop charms require a few binary
resources, which are normally hosted on Launchpad. If access to Launchpad
is not available, the
jujuresources library makes it easy to create a mirror
of these resources:
sudo pip install jujuresources juju-resources fetch --all /path/to/resources.yaml -d /tmp/resources juju-resources serve -d /tmp/resources
This will fetch all of the resources needed by this charm and serve them via a
simple HTTP server. The output from
juju-resources serve will give you a
URL that you can set as the
resources_mirror config option for this charm.
Setting this option will cause all resources required by this charm to be
downloaded from the configured URL.
You can fetch the resources for all of the Apache Hadoop charms
apache-hadoop-plugin, etc) into a single
directory and serve them all with a single
juju-resources serve instance.
- (boolean) Enable metrics using Ganglia. Note that enabling this option will have no effect if the service is not related to a ganglia service via the ganglia:master relation. Enabling this option with the relation will issue a restart to the ResourceManager and all NodeManager components on all related compute-slaves. See the README for more information.
- (string) URL from which to fetch resources (e.g., Hadoop binaries) instead of Launchpad.