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Memecached/Membase/ElasticSearch integration for Cascading
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FYI, this is a work in progress (wip) branch, and only works with Cascading wip-1.2. Welcome This is the Cascading.Memcached module. It provides support for writing data to a memcached protocol compatible cluster when bound to a Cascading data processing flow. Current tested clusters are Memcached, MemBase, and ElasticSearch. Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster. It can be found at the following location: http://www.cascading.org/ Building This release requires at least Cascading 1.2.x. Hadoop 0.19.x or later, and a cluster that supports the memcached text or binary protocols. To build a jar, > ant -Dcascading.home=... -Dhadoop.home=... jar To test (requires a localhost memcached cluster), > ant -Dcascading.home=... -Dhadoop.home=... test where "..." is the install path of each of the dependencies. Using The cascading-memcached.jar file should be added to the "lib" directory of your Hadoop application jar file along with all Cascading dependencies. Notes: Currently ElasticSearch has a few memcached protocol related bugs that should be available in a future public release. Even with these fixes, only the text protocol is supported.