Book Image

Mastering MongoDB 3.x

By : Alex Giamas
Book Image

Mastering MongoDB 3.x

By: Alex Giamas

Overview of this book

MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources. You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.
Table of Contents (13 chapters)

Indexing

In this chapter, we will explore one of the most important properties of every database, indexing. Similar to book indexes, database indexes allow for quicker data retrieval. In the RDBMS world, indexes are widely used (and abused) to speed up data access.

In MongoDB, indexes play an integral part in schema and query design. MongoDB supports a wide array of indexes that we will learn about in this chapter:

  • Single field
  • Compound
  • Multikey
  • Geospatial
  • Text
  • Hashed
  • Time to live
  • Unique
  • Partial
  • Sparse
  • Case-insensitive

In addition to learning about different types of index, we will show how to build and manage indexes for single-server deployments as well as complex sharded environments.

Finally, we will dive deeper into how MongoDB creates and organizes indexes with the goal of learning how to write more efficient indexes and evaluating the performance of our existing indexes...