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Mastering RethinkDB

Mastering RethinkDB

By : Shaikh
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Mastering RethinkDB

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.
Table of Contents (11 chapters)
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ReQL queries are chainable


Almost all ReQL queries are chainable. You can chain ReQL queries using the dot operator, just like you do with pipe in Unix. Data flows from left to right and data from one command is passed to the next one until the query gets executed. You can chain queries until your query is done.

Just like we performed some queries on the previous section, we chained the get() function with update() or delete() to perform the query.

Here is an example:

rethinkdb.table('users').delete(); 
rethinkdb.table('users').get('<<id>>').update({id : 10}); 
rethinkdb.db('test').table('users').distinct().count(); 

This way of design provides a natural way of reading and understanding queries. It's easy to learn, modify, and read.

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