Using window functions with Apache Spark

In this recipe, we will discuss how to apply window functions to DataFrames in Apache Spark. We will use Python as our primary programming language and the PySpark API.

How to do it...

1. Import the libraries: Import the required libraries and create a SparkSession object:

   from pyspark.sql import SparkSession

   from pyspark.sql.functions import col, row_number, lead, lag, count, avg

   spark = (SparkSession.builder

       .appName("apply-window-functions")

       .master("spark://spark-master:7077")

       .config("spark.executor.memory", "512m")

       .getOrCreate())

   spark.sparkContext.setLogLevel("ERROR")

2. Read file: Read the netflix_titles.csv file using the read method of SparkSession:

   df = (spark.read

       .format("csv")

       .option("header", "true")

    ...