My first incorta materialized view

I found that incorta allows me to practice my PySpark skills. This is my first MV. 

	%pyspark
	from pyspark.sql import SparkSession
	from pyspark.sql.types import ArrayType, StructField, StructType, StringType, IntegerType
	data = [('Category A', 100, "This is category A"),
	('Category B', 120, "This is category B"),
	('Category C', 150, "This is category C")]
	# Create a schema for the dataframe
	schema = StructType([
	StructField('Category', StringType(), True),
	StructField('Count', IntegerType(), True),
	StructField('Description', StringType(), True)
	])
	# Convert list to RDD
	rdd = spark.sparkContext.parallelize(data)
	# Create data frame
	df = spark.createDataFrame(rdd,schema)
	save(df)

view raw gistfile1.txt hosted with ❤ by GitHub

The PythonListTable will look like below.