Book Image

Mastering RethinkDB

By : Shaikh
Book Image

Mastering RethinkDB

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)

Performing string operations


ReQL provides the following functions to manipulate and search strings:

  • Match() takes a string or a regular expression as an input and performs a search over the field. If it matches, it returns the data in the cursor, which we can loop over to retrieve the actual data.

  • For example, we have to find all the users whose name starts with J. Here is the query for the same:

      rethinkdb.table("users").filter(function(user) { 
      return user("name").match("^J"); 
      }).run(connection,function(err,cursor) { 
      if(err) { 
      throw new Error(err); 
        } 
       cursor.toArray(function(err,data) { 
       console.log(data); 
        }); 
      }); 
  • Here we are first performing a filter, and inside it, we put our match() condition. The filter gives every document to the match() function and it appends it to the cursor. Upon running, you should be able to view the users with names starting with J.

  • split...