This page gives an overview of all public Spark SQL API.

Jul 10, 2025 · In this article, you have learned what is PySpark SQL module, its advantages, important classes from the module, and how to run SQL-like operations on DataFrame and on …

This page gives an overview of all public Spark SQL API.

In this guide, we’ll explore what spark.sql does, break down its parameters, dive into the types of queries it supports, and show how it fits into real-world workflows, all with examples that make …

Jul 6, 2025 · Analyze large datasets with PySpark using SQL. Learn to register views, write queries, and combine DataFrames for flexible analytics.

Jul 18, 2025 · PySpark is the Python API for Apache Spark, designed for big data processing and analytics. It lets Python developers use Spark's powerful distributed computing to efficiently …

This section explains how to use the Spark SQL API in PySpark and compare it with the DataFrame API. It also covers how to switch between the two APIs seamlessly, along with …

Creates an external table based on the dataset in a data source. It returns the DataFrame associated with the external table. The data source is specified by the source and a set of …

PySpark SQL is a module within PySpark that extends the DataFrame API with SQL capabilities, allowing users to perform structured queries, transformations, and analytics on distributed …

Oct 13, 2025 · PySpark SQL Functions provide powerful functions for efficiently performing various transformations and computations on DataFrame columns within the PySpark …