Book Image

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
Book Image

Seven NoSQL Databases in a Week

By: Sudarshan Kadambi, Xun (Brian) Wu

Overview of this book

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, In?uxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Introduction to MongoDB indexing


Indexes allow efficient execution of MongoDB queries. If we don't have indexes, MongoDB has to scan all the documents in the collection to select those documents that match the criteria. If proper indexing is used, MongoDB can limit the scanning of documents and select documents efficiently. Indexes are a special data structure that store some field values of documents in an easy-to-traverse way.

Indexes store the values of specific fields or sets of fields, ordered by the values of fields. The ordering of field values allows us to apply effective algorithms of traversing, such as the mid-search algorithm, and also supports range-based operations effectively. In addition, MongoDB can return sorted results easily.

Indexes in MongoDB are the same as indexes in other database systems. MongoDB defines indexes at the collection level and supports indexes on fields and sub-fields of documents.

The default _id index

MongoDB creates the default _id index when creating...