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

Storing large data in MongoDB


MongoDB is document-based database, data is stored in JSON and XML documents. MongoDB has a document size limit of 16 MB. If the size of a JSON document exceeds 16 MB, instead of storing data as a single file, MongoDB divides the file into chunks and each chunk is stored as a document in the system. MongoDB creates a chunk of 255 KB to divide files and only the last chuck can have less than 255 KB.

MongoDB uses two collections to work with gridfs. One collection is used to store the chunk data and another collection is used to store the metadata. When you query MongoDB for the operation of the gridfs file, MongoDB uses the metadata collection to perform the query and collect data from different chunks. GridFS stores data in two collections:

  • chunks: Stores binary chunks.
  • files:: Stores the file's metadata.