The big data team just updated the apache-core-batch-processing bundle in ~bigdata-dev ( https://jujucharms.com/u/bigdata-dev/apache-core-batch-processing) to use the new layered charms. This makes the charms much easier to understand, maintain, and extend. We're asking for more testing by the community, before we move the recommended core bundle over to these charms as well.
If you are interested in seeing the source layers for these charms, they can be found in GitHub in the following repos: https://github.com/juju-solutions/layer-apache-hadoop-namenode https://github.com/juju-solutions/layer-apache-hadoop-resourcemanager https://github.com/juju-solutions/layer-apache-hadoop-slave https://github.com/juju-solutions/layer-apache-hadoop-plugin Creating a charm that connects to the cluster is now even easier, by extending the hadoop-client layer: https://github.com/juju-solutions/layer-hadoop-client One caveat with this update is that, due to some aspects of how reactive charms maintain state internally, in-place upgrades from the existing charms are not recommended at this point. You will also note that there are some differences in the services deployed, which we made to bring them more in line with commonly understood terminology and to prepare for fully utilizing the HA support built-in to Hadoop 2.7.1. We are continuing to develop these charms, as well as converting the other big data charms, such as Spark, Zeppelin, Flume, Kafka, etc., to use layers and reactive. We look forward to your feedback.
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