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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