Couchbase interview questions and Answers

Couchbase Server actually has a tail-append storage design which is unaffected to the corruption of data, abrupt loss of power or OOM killers. Data is written in the data file in an append-only manner, which enables Couchbase to do sequential write-ups for an update, and it also provides an optimized access pattern and also enhanced access patterns for disk Input/Output.

Analytics in couchbase is designed to run complex queries over numerous records with efficiency. Complex questions mean large ad hoc join, aggregation, set and grouping operations, any

of them may result in the long-running queries, high consumption of memory, high use of CPU and/or excessive network latency due to data fetching and also due to cross node coordination. Couchbase Analytics is mostly preferred for expensive queries

This is one of the favorite questions in Couchbase interview Questions.

With the help of Query Workbench, the user can easily explore the data and create, edit, run, and save N1QL queries, view and also save query results, and also examine the structures of the document in a bucket and all these features only in a single window.

Query Workbench Features

• A single visual interface to execute query development and testing.
• Complex queries can be easily viewed and edited by giving features like multi-line formatting, syntax coloring, copy-and-paste, auto-completion of N1QL keywords, bucket and field names and smooth cursor movement.
• By using the N1QL INFER command, the structure of the documents in a bucket can be viewed. The user does not have to select the documents randomly and predict the structure of the document.
• Query results are displayed in multiple formats: tree, JSON and table, and the query results can be saved to a file on disk.