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Getting Started with RethinkDB

Getting Started with RethinkDB

By : Tiepolo
4 (1)
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Getting Started with RethinkDB

Getting Started with RethinkDB

4 (1)
By: Tiepolo

Overview of this book

RethinkDB is a high-performance document-oriented database with a unique set of features. This increasingly popular NoSQL database is used to develop real-time web applications and, together with Node.js, it can be used to easily deploy them to the cloud with very little difficulty. Getting Started with RethinkDB is designed to get you working with RethinkDB as quickly as possible. Starting with the installation and configuration process, you will learn how to start importing data into the database and run simple queries using the intuitive ReQL query language. After successfully running a few simple queries, you will be introduced to other topics such as clustering and sharding. You will get to know how to set up a cluster of RethinkDB nodes and spread database load across multiple machines. We will then move on to advanced queries and optimization techniques. You will discover how to work with RethinkDB from a Node.js environment and find out all about deployment techniques. Finally, we’ll finish by working on a fully-fledged example that uses the Node.js framework and advanced features such as Changefeeds to develop a real-time web application.
Table of Contents (9 chapters)
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8
Index

An introduction to scaling


Scaling is an overloaded term. Finding a simple definition is tricky.

First of all, scaling doesn't refer to a specific technique or technology; scaling or scalability is an attribute of a specific architecture. As a general definition, we can say that scalability is the trait where a software application can handle increased loads of work. Examples of this can be larger datasets, higher request rates, and so on.

When talking about scaling software, we usually differentiate between the following:

  • Vertical scalability or scaling up can be defined as the ability to grow using stronger hardware and resources

  • Horizontal scalability or scaling out refers to the ability to grow by adding more hardware

It's important to note the differences between vertical and horizontal scaling. Vertical scaling basically means adding more capacity to a single node in a system. Virtually, all existing databases can be vertically scaled by adding memory, a faster CPU, or larger hard drives...

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