{"id":2202,"date":"2016-03-23T07:48:55","date_gmt":"2016-03-23T07:48:55","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=2202"},"modified":"2025-06-13T17:24:44","modified_gmt":"2025-06-14T00:24:44","slug":"create-a-zeppelin-interpreter-for-couchbase","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/create-a-zeppelin-interpreter-for-couchbase\/","title":{"rendered":"Create a Zeppelin Interpreter for Couchbase"},"content":{"rendered":"

I have started playing with Zeppelin recently. It's a great web-based notebook that enables real-time analytics. It supports a variety of backends through the concept of interpreters<\/a>.<\/p>\n

Zeppelin Interpreter is the plug-in which enable zeppelin user to use a specific language\/data-processing-backend. For example to use scala code in Zeppelin, you need spark interpreter.<\/p><\/blockquote>\n

You can already do some Couchbase related work using their Spark interpreter and the Couchbase Spark Connector<\/a>. But I just want to run some N1QL queries in pads, like with Spark SQL and DataFrames. So I need to create a Couchbase N1QL interpreter. Doing so is easy and documented<\/a>, you need just one class.<\/p>\n

This class must extends the abstract class org.apache.zeppelin.interpreter.Interpreter<\/a> resulting in having you implement the following abstract methods: open<\/code>, close<\/code>, interpret<\/code>, getFormType<\/code>, getProgress<\/code>, completion<\/code>.<\/p>\n

Which is pretty much what I did here:<\/p>\n