The SparkSession.sql() function in Python's PySpark library is used to execute SQL queries on a SparkDataFrame. It allows users to write SQL statements, which are then processed and executed by Spark. This function simplifies the process of executing SQL in a Spark environment by providing a familiar interface for working with data. The result of the SQL query is returned as a new DataFrame, which can be further manipulated or analyzed using PySpark's DataFrame API.
Python SparkSession.sql - 30 examples found. These are the top rated real world Python examples of pyspark.sql.session.SparkSession.sql extracted from open source projects. You can rate examples to help us improve the quality of examples.