What queries are needed to create a Spark session?

A Spark session is the entry point to programming Spark with the Dataset and DataFrame API. To create one you typically import the SparkSession class, configure the application name, master URL, and any optional settings, then call getOrCreate(). For example:

from pyspark.sql import SparkSession
spark = (SparkSession.builder
         .appName("MyApp")
         .master("local[*]")
         .config("spark.some.config.option", "value")
         .getOrCreate())

Once the session is created you can run SQL queries by registering DataFrames as temporary views or using the spark.sql("SELECT * FROM table") method. The only queries you need at this point are those that create or register the data you will work with; the session itself does not require any SQL until you start querying data. The key points are the builder pattern, setting the app name, master, and any configuration options, and finally calling getOrCreate() to obtain the session.