spark = ( ... SparkSession.builder ... .master("local") ... .appName("Word Count") ... .config("spark.some.config.option", "some-value") ... .getOrCreate() ... )from pyspark.sql import SparkSession spark = SparkSession \ .builder \ .appName("Python Spark SQL basic example") \ .config("spark.some.config.option", "some-value") \ .getOrCreate()from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate()# Need to import to use date time from datetime import datetime, date # need to import for working with pandas import pandas as pd # need to import to use pyspark from pyspark.sql import Row # need to import for session creation from pyspark.sql import SparkSession # creating the session spark = SparkSession.builder.getOrCreate() # schema creation by passing list df = spark.createDataFrame([ Row(a=1, b=4., c='GFG1', d=date(2000, 8, 1), e=datetime(2000, 8, 1, 12, 0)), Row(a=2, b=8., c='GFG2', d=date(2000, 6, 2), e=datetime(2000, 6, 2, 12, 0)), Row(a=4, b=5., c='GFG3', d=date(2000, 5, 3), e=datetime(2000, 5, 3, 12, 0)) ]) # show table df.show() # show schema df.printSchema()from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate()