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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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Toc

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

Executing ReQL queries in a cluster


We have our cluster in place running smoothly; let's perform a ReQL query and observe the response. First we will create a new table in the test database. As we have learned in Chapter 2, RethinkDB Query Language, we need to use the tableCreate() method to create a new table.

Let's execute a query from the web administrative screen:

r.db("test").tableCreate('clusterTest2') 

Here is our response object:

As you may have noticed the highlighted section, primary_replica is showing that this table is stored at a machine ending with _y7b, which is my second machine in the cluster. This proves that RethinkDB automatically utilizes the instances in the cluster.

Let's perform an insert operation on the same table and observe the response. Here is the insert ReQL query:

r.db("test").table("clusterTest").insert({name : "Shahid", age : 24})

Upon running it, we see that the document has been inserted in the clusterTest table and RethinkDB returns exactly the same...

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