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  • Book Overview & Buying Mastering RethinkDB
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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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Generating mock data

We used the mockaroo online mock data generator to create some mock data. Unfortunately, it only allows 1,000 records for free so we were limited to that. For our case study, we have generated data for employees with some basic personal information, along with salary.

Refer to the following image to understand the schema of data:

Generating mock data

Refer to the following link: https://www.mockaroo.com

As you can see in the preceding image, we have chosen various keys related to employees and downloaded it as a JSON file. It will return the data format as 1,000 objects residing in one array; that is exactly what we need to dump the data in the RethinkDB database.

RethinkDB provides two ways in which you can import your data into the RethinkDB database for further analysis:

  1. Importing data in RethinkDB using HTTP
  2. Importing data via file read

In this section, we will cover both of them in detail along with uploading our dataset to RethinkDB.

Importing data in RethinkDB using HTTP

In Chapter...

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