What is NoSQL indexing and how does it work?

What is NoSQL indexing and how does it work?

NoSQL indexing refers to the methods used to optimize data retrieval in NoSQL databases. Unlike traditional SQL databases, NoSQL databases can store unstructured data and use various indexing techniques to improve query performance.

What are the different types of NoSQL indexes?

There are several types of NoSQL indexes, including primary indexes, secondary indexes, composite indexes, and full-text indexes. Each serves different purposes depending on the data model and query requirements.

How does indexing improve query performance?

Indexing improves query performance by allowing the database to quickly locate and access the data without scanning the entire dataset. This reduces the time it takes to retrieve results.

Can you give an example of a NoSQL database that uses indexing?

Sure! MongoDB is a popular NoSQL database that uses various indexing techniques, such as single field indexes, compound indexes, and geospatial indexes, to enhance query performance.

What are the drawbacks of using indexes in NoSQL databases?

While indexes speed up read operations, they can slow down write operations because the index must be updated whenever data is modified. Additionally, indexes consume extra storage space.