Databricks Recursive CTE Example: Querying Hierarchical Data

If you have ever tried to query hierarchical data in Databricks like an employee organizational chart, a bill of materials, or category trees you know it used to be a headache. Historically, data engineers had to write complex Python loops in PySpark to walk through parent-child relationships step-by-step. Thankfully, that is no longer necessary. Databricks now natively supports recursive Common Table Expressions (CTEs). Using the WITH RECURSIVE clause, you can easily query hierarchies and graph data directly in Databricks SQL. Let’s break down exactly how recursive CTEs work and look…

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Databricks Common Table Expressions (CTEs): A Simple Guide

If you read our recent guide on Databricks SQL subqueries, you know that nesting queries inside one another can get messy very quickly. If you nest them three or four levels deep, your code becomes incredibly hard to read and debug. This is where Databricks Common Table Expressions (CTEs) save the day. CTEs are the secret to writing clean, professional, and easily maintainable SQL. In this guide, we will look at what CTEs are, why you should use them over subqueries, and how to write them in Databricks. Page Content…

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