Big Data charm & bundle updates!

[Cory Johns]

Yesterday afternoon, we released a big update of the big data charms and
bundles!

This update converts all of the main big data charms to use layers, and
brings the version of the services, such as Hadoop and Spark, up to much
more recent releases.  We also changed the name of a couple of the charms
to bring them more in line with the naming convention used by the community.

The conversion to layers makes the charm code much easier to follow,
maintain, and contribute to.

Because of the conversion to layers and topology change, there is
unfortunately not a way to upgrade a bundle from the old charms to the
new.  Instead, it will require a side-by-side migration, or redeployment.

If you deploy using any of the bundles listed on
https://jujucharms.com/big-data you should not run in to any issues.
However, if you have any manual deployment scripts, you will need to update
them to account for the following name changes:

  * apache-hadoop-hdfs-master -> apache-hadoop-namenode
  * apache-hadoop-yarn-master -> apache-hadoop-resourcemanager
  * apache-hadoop-compute-slave -> apache-hadoop-slave
  * apache-hadoop-client -> hadoop-client

The change to the name of the client charm better reflects that, by using
the plugin model, the client is not tied to any specific set of core Hadoop
charms.  It is also used as the base layer for charms such as apache-spark,
making it even easier than before to connect your charm to the Hadoop
cluster.
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