2. RethinkDB Query Language | Mastering RethinkDB

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Mastering RethinkDB

By : Shaikh

1 (1)

Mastering RethinkDB

1 (1)

By: Shaikh

Overview of this book

RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these concepts in real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB and Node.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth. Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. The RethinkDB Architecture and Data Model

1. The RethinkDB Architecture and Data Model

RethinkDB architectural components

Query execution in RethinkDB

Filesystem and data storage

Sharding and replication

Automatic failover handling in RethinkDB

About voting replicas

The RethinkDB data model

Constraints and limitation in RethinkDB

Summary

2. RethinkDB Query Language

2. RethinkDB Query Language

Embedding ReQL in a programming language

ReQL queries are chainable

ReQL queries are executed on a server

Performing conditional queries

Performing string operations

Performing MapReduce operations

Calling HTTP APIs using ReQL

Handling binary objects

Performing JOINS

Accessing changefeed (real-time feed) in RethinkDB

Performing geolocation operations

Performing administrative operations

Summary

3. Data Exploration Using RethinkDB

3. Data Exploration Using RethinkDB

Generating mock data

Executing data exploration use cases

Summary

4. Performance Tuning in RethinkDB

4. Performance Tuning in RethinkDB

Clustering

Creating and handling a RethinkDB cluster

Securing our RethinkDB cluster

Executing ReQL queries in a cluster

Performing replication of tables in RethinkDB

Sharding the table to scale the database

Running a RethinkDB proxy node

Optimizing query performance

Summary

5. Administration and Troubleshooting Tasks in RethinkDB

5. Administration and Troubleshooting Tasks in RethinkDB

Understanding access controls and permission in RethinkDB

Failover handling in RethinkDB

Performing a manual and automatic backup in RethinkDB

Data import and export in RethinkDB

Crash recovery in RethinkDB

Using third-party tools

Summary

6. RethinkDB Deployment

6. RethinkDB Deployment

Deploying RethinkDB using PaaS services

Deploying RethinkDB using Docker

Deploying RethinkDB on a standalone server

Summary

7. Extending RethinkDB

7. Extending RethinkDB

Integrating RethinkDB with ElasticSearch

Integrating RethinkDB with RabbitMQ

Understanding the RethinkDB protocol

Third-party libraries and tools

Summary

8. Full Stack Development with RethinkDB

8. Full Stack Development with RethinkDB

Project structure

Data modeling for our application

Creating a Node.js server and routes

Integrating RethinkDB with Node.js

Integrating AngularJS in the frontend

Socket.io integration for message broadcasting

Summary

9. Polyglot Persistence Using RethinkDB

9. Polyglot Persistence Using RethinkDB

Introducing Polyglot Persistence

Using the RethinkDB changefeed as a Polyglot agent

Developing a proof-of-concept application with MongoDB and MySQL

Developing the Polyglot agent

Developing event consumers

Running the app

Further improvements

Summary

10. Using RethinkDB and Horizon

10. Using RethinkDB and Horizon

Workings of Horizon

Installing and configuring Horizon

Developing a simple web application using Horizon

Horizon user management

Summary

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Performing conditional queries

ReQL supports conditional queries using subqueries, expressions, and the lambda function. In this section, we will look at each one of them using sample code written in Node.js.

In order to perform these queries, I have populated our users table in the test database with some documents. Here is the query executed from the RethinkDB web administrative screen:

r.db('test').table('users').insert([{ 
name : "John", 
age : 24 
}, { 
name : "Mary", 
age : 32 
},{ 
name : "Michael", 
age : 28 
}])

Note

In the web administrative screen, you do not need to provide the run function with a connection; it automatically appends and executes the query on the server.

Let us run a query to find out documents with an age greater than 30 years. We are going to execute the following code after getting a connection to the database, the same as we did in the former section:

rethinkdb.table('users').filter(function (user) {  
return...

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