Couchbase Analytics, the latest addition to Couchbase Server's suite of services, is designed to provide rapid insights across various use cases by leveraging massively parallel processing (MPP) for complex analytical queries. This blog post, the first in a series, introduces the execution framework and explains a simple query plan, detailing how the query is processed through the Analytics engine. The process involves parsing and optimizing a query plan, which is a tree-like structure of operators capable of handling nested JSON data, before executing it across multiple nodes in a cluster for scalable and efficient data processing. This post aims to demystify the Analytics query plan, offering insights into query optimization and execution, and invites readers to explore further through Couchbase Server 6.5 and community engagement.