Spark SQL — PySpark 4.0.1 documentation
This page gives an overview of all public Spark SQL API.
PySpark SQL Tutorial with Examples - Spark By Examples
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 …
PySpark Tutorial - GeeksforGeeks
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 …
Spark SQL — PySpark master documentation - Databricks
This page gives an overview of all public Spark SQL API.
Running SQL Queries (spark.sql) in PySpark: A Comprehensive …
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 …
Using Spark SQL in PySpark for Distributed Data Analysis
Jul 6, 2025 · Analyze large datasets with PySpark using SQL. Learn to register views, write queries, and combine DataFrames for flexible analytics.
Chapter 6: Old SQL, New Tricks - Running SQL on PySpark
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 …
pyspark.sql module — PySpark master documentation
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 Functions - Spark By Examples
Oct 13, 2025 · PySpark SQL Functions provide powerful functions for efficiently performing various transformations and computations on DataFrame columns within the PySpark …
Parameterized queries with PySpark | Databricks Blog
Jan 3, 2024 · As of Databricks Runtime 15.2 and Apache Spark 4.0, parameterized queries support safe and expressive ways to query data with SQL using Pythonic programming …