It’s easy to build a mammoth database and boast about being data-rich. But, when it comes to using that data and churning out desirable results, many enterprises fail because the database often becomes non-responsive and poorly optimized.
Such a database is nothing less than a dust pile. This becomes a huge issue to tackle as the application grows because more data will add up to the database. In this Ruby on Rails performance guide, we’re going to explore some of the most viable tips for optimizing the RoR databases.
What Handles Database In Ruby On Rails?
Before we delve deeper into improving RoR database performance, let’s understand what’s handling databases while you work with Ruby on Rails. ActiveRecord handles this responsibility, which is a default tool for RoR. It is a part of MCV or Model-View-Controller and manages the databases by converting them into business objects. ORM technique is used in ActiveRecord to link the object and relational databases.
This also provides an easy-to-handle and swift interface to the Ruby On Rails developers to insert the queries and data with the help of commands like .where, .save, .create, and .update.
RoR accepts these commands and converts them to SQL queries. Now, this sounds like a good thing but can sometimes cause serious performance issues. If you’re not able to fix these issues, you will have a tough time managing the RoR applications and their performance.
Ways To Optimize RoR Databases
Even though database performance issues with the Ruby On Rails application are most likely to happen, you can deal with them and fix them without much effort. All you need to do is hire Ruby on Rails developer from a trusted source and instruct him/her to follow the below-mentioned tricks.
#1 – Try eager loading N+ 1 queries
If you’re already working with RoR, you must be familiar with N+1 queries as they are frequently occurring database performance issues. You can easily eliminate this issue by using the eager loading of the N+1 queries that are possible by adding .includes(: projects) at the end of the query.
Rails 6.1 uses a strict loading process to make that associate is eagerly loaded before being accessed. You can activate the strict loading and avoid the N+1 query hassle.
#2 – Try using a database index
One of the key database issues is slow data retrieval, which you can easily fix using the database index. You can also change a slow-performing query to using the pre-existed index that will improve the database performance. If you’re having a tough time locating an index, you need to know that the database is generally stored in a B-Tree or a Hash format.
One can add indexes to a single field or multiple fields. Using a composite index will work best if you’re trying to optimize queries with multiple fields.
#3 – Restrict the data access or record fetching
It’s certain to have slow RoR application performance if more records are returned per query. So, instead of overloading one query, using multiple queries is better when you want an application to return a large dataset. To avoid the overburdening of a query, you can put return limits. If you hire Ruby on Rails developer from a trusted source, s/he will be able to make it happen seamlessly.
#4 – Use Pluck to select required fields
The pluck command is great because it instantly converts a query’s result to an array without seeking the help of ActiveRecord Object. Using Pluck will also improve the code performance when a query delivers a huge dataset or results.
#5 – Take the help of Bulk Delete
Bulk Delete is the most preferred delete operation to improve the RoR database performance. With one delete_all query, you can delete a huge deal of queries.
Ruby On Rails is a great application development. This is why more and more organizations want to hire RoR developers and start building inventive applications. However, maintaining Ruby on Rails database performance can be a huge challenge for many. No matter how perfect a technology seems, performance issues are bound to happen. We hope that above mentioned Ruby on Rails performance guide will help you fix the most common RoR database performance issues. Try them out today and share your feedback with us.
Chandresh Patel is a CEO, Agile coach, and founder of Bacancy Technology. His truly entrepreneurial spirit, skillful expertise, and extensive knowledge in Agile software development services have helped the organization to achieve new heights of success. Chandresh is fronting the organization into global markets in a systematic, innovative, and collaborative way to fulfill custom software development needs and provide optimum quality services.