I am happy to announce the major update to our Couchbase Plug-in for ElasticSearch. Plug-in is now updated to work with latest release of Couchbase Server 3.0 and Elasticsearch 1.3.0. Also, plug-in is backward compatible with previous version of Couchbase Server 2.5.x.

What's new in 2.0 –

Supporting more than one document type in Elasticsearch – In Couchbase, a document is uniquely identified by its ID whereas in Elasticsearch, documents are uniquely identified by the combination of their ID and type. Previously, all documents stored in Couchbase are indexed in Elasticsearch using the Couchbase ID and the type “couchbaseDocument”. With this new release we have made changes to support different types in ElasticSearch. So that some of the more powerful features of Elasticsearch can take advantage of documents being indexed as different types.

If you’re using Couchbase Plug-in for ElasticSearch in your Couchbase deployment and planning to upgrade to latest Couchbase Server 3.0 then we recommend using latest plug-in v2.0.

Posted by Anil Kumar, Director Product Management, Couchbase Server

As a Director of Product Management at Couchbase, Anil Kumar is responsible for Couchbase Server product development, roadmaps, positioning, messaging, and collateral. Prior to joining Couchbase, Anil spent several years working at Microsoft in the Entertainment division and most recently in the Windows and Windows Live division. Anil holds a master's degree in computer science and a bachelor's in information technology.

6 Comments

  1. Support for multiple types is great news! Is there any documentation around configuring the mapping to these types?

    1. Hello Fraser, Thank you for your feedback. Documentation for this should be coming out shortly. You will find the documentation here http://docs.couchbase.com/admi….

  2. Does this plugin-in use the DBCP or TAP?

  3. Dear Anil, the page of setting elasticseach with couchbase has been removed, could you tell me where is the new page please?

  4. HI,
    I am unable to plug-in ElasticSearch 2.2.0

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