Writing data with Apache Spark

In this recipe, we will walk you through the step-by-step process of leveraging the power of Spark to write data in various formats. This recipe will equip you with the essential knowledge and practical skills needed to write data using Apache Spark’s distributed computing capabilities.

How to do it…

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

   from pyspark.sql import SparkSession

   spark = (SparkSession.builder

       .appName("write-data")

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

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

       .getOrCreate())

   spark.sparkContext.setLogLevel("ERROR")

2. Read a CSV file using the read method of SparkSession:

   from pyspark.sql.types import StructType, StructField, StringType, IntegerType, DateType

   df = (spark.read.format("csv")

    ...