I want pyspark to throw error, not fill column with null

Say one is reading a csv file.

It has a column, UnitPrice, that has decimals.In Pyspark, code was constructed in error with

StructField("UnitPrice", IntegerType())

The data frame is loading the file when using the schema with NULL values for column UnitPrice.

df=spark.read.format("csv").schema(ordersSchema).load

I want an error to be thrown as it is not loading this column's data correctly from the CSV file.

NOTE: There may exist row with null values for UnitPrice.