The N1QL query language in Couchbase is very powerful and allows a wide variety of operations on document data. Given that, it becomes crucial to understand how exactly queries are executed in order to run them in the most optimal manner. In this course, Optimize N1QL Queries, you’ll explore the different ways in which N1QL query executions can be optimized. First, you’ll begin by looking into what query plans are, the different phases involved in the execution of N1QL queries, and the various Couchbase services which participate in query executions. Next, you’ll delve into the role of indexes in running N1QL queries and build a variety of secondary indexes to speed up query executions. Then, you’ll create prepared statements to further optimize queries – by skipping the step of generating query plans for each execution. Finally, you’ll discover how monitoring can help us analyze queries which are active and also those which have completed execution. Once you’re done with this course, you’ll have a thorough understanding of the various factors which influence query performance in Couchbase, and the tools available to execute them in an optimal manner.
Author Name: Kishan Iyer
Author Description:
I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.