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Mastering RethinkDB

You're reading from   Mastering RethinkDB Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781786461070
Length 330 pages
Edition 1st Edition
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Author (1):
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Shahid Shaikh Shahid Shaikh
Author Profile Icon Shahid Shaikh
Shahid Shaikh
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Table of Contents (11) Chapters Close

Preface 1. The RethinkDB Architecture and Data Model 2. RethinkDB Query Language FREE CHAPTER 3. Data Exploration Using RethinkDB 4. Performance Tuning in RethinkDB 5. Administration and Troubleshooting Tasks in RethinkDB 6. RethinkDB Deployment 7. Extending RethinkDB 8. Full Stack Development with RethinkDB 9. Polyglot Persistence Using RethinkDB 10. Using RethinkDB and Horizon

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...
You have been reading a chapter from
Mastering RethinkDB
Published in: Dec 2016
Publisher: Packt
ISBN-13: 9781786461070
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