DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workkloads.

Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Designing a Blog Application Using Document Databases
  • Relational DB Migration to S3 Data Lake Via AWS DMS, Part I
  • NoSQL for Relational Minds
  • Business Logic Database Agent

Trending

  • How Clojure Shapes Teams and Products
  • Mastering Fluent Bit: Installing and Configuring Fluent Bit Using Container Images (Part 2)
  • Building a Simple Todo App With Model Context Protocol (MCP)
  • Designing AI Multi-Agent Systems in Java
  1. DZone
  2. Data Engineering
  3. Databases
  4. A Guide to the B-Tree Index

A Guide to the B-Tree Index

In this article, I will be explaining what a B-tree index is, how it works, and how you can easily create one in Oracle.

By 
Ben Brumm user avatar
Ben Brumm
·
Jun. 17, 17 · Tutorial
Likes (5)
Comment
Save
Tweet
Share
44.9K Views

Join the DZone community and get the full member experience.

Join For Free

A b-tree index stands for “balanced tree” and is a type of index that can be created in relational databases.

It’s the most common type of index that I’ve seen in Oracle databases, and it’s the default index type. By this, I mean that if you don’t add any modifiers to your CREATE INDEX statement, then a b-tree index will be created.

How Does a B-Tree Index Work?

A b-tree index works by creating a series of nodes in a hierarchy. It’s often compared to a tree, which has a root, several branches, and many leaves.

In my definitive guide on indexes in Oracle, I use an example of finding a record with an ID of 109. 

The steps to find this record would be:

  1. Start at the root node and go to the first level.
  2. Find the node that covers the range of values that span the value of 109 (for example, a range of 100 to 200).
  3. Move to the second level from this node.
  4. Find the node that covers the range of values that span the value of 109 on the second level (for example, 100 to 120).
  5. Move to the third level from this node.
  6. Find the record that has an ID of 109.

There’s a set of looking up a range of values and stepping to the next level. This is repeated a few times until the correct row is found.

How Can I Create a B-Tree Index?

To create a b-tree index in Oracle, you use the CREATE INDEX command:

CREATE INDEX index_name ON table_name (columns) 

When you write a CREATE INDEX statement, you don’t need to specify the type of index if you’re creating a b-tree index. By default, the index created is a b-tree index.

To complete this statement you need to specify:

  • index_name : This is the name of the index you’re creating.
  • table_name: This is the name of the table that the index is created on.
  • columns: This is a comma-separated list of the columns that the index is being created on. You can specify one column or many columns.

What Should I Name My Index?

Every index you create needs a name, and the name must be unique.

Another thing I’ve mentioned before in the guide to indexes and on my site, is how I like to name my indexes.

The format I use is ix_table_columns.

I prefer to add a prefix to indicate it is an index, such as ix. Then I have an underscore, then the name of the table. Then another underscore, then the columns it refers to.

Now the index name needs to be short, so I come up with shorter names for the tables in this index name.

An example would be ix_emp_fname. This would refer to an index on the employee table, on the first_name column.

So, that’s what a b-tree index is. They are pretty easy to create, efficient in finding data, but not always the solution to your query performance problems.

Database Relational database

Opinions expressed by DZone contributors are their own.

Related

  • Designing a Blog Application Using Document Databases
  • Relational DB Migration to S3 Data Lake Via AWS DMS, Part I
  • NoSQL for Relational Minds
  • Business Logic Database Agent

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!