Floating Point Fields with DoubleType and FloatType

How do we define numeric precision for financial pricing (DoubleType) and discount rates (FloatType)?

Advanced⏱ 2 Minutes⭐ 690 XP

🤔 THE QUESTION

How do we define numeric precision for financial pricing (DoubleType) and discount rates (FloatType)?

💡 WHAT IS IT?

DoubleType provides 64-bit double-precision floating point numbers; FloatType provides 32-bit floats.

🎯 WHAT IS IT USED FOR?

Financial pricing models, scientific measurements, ML features, and exchange rate data.

💻 EXAMPLE

from pyspark.sql.types import StructType, StructField, DoubleType, FloatType

pricing_schema = StructType([
    StructField("unit_price", DoubleType(), True),
    StructField("discount_rate", FloatType(), True)
])

🎯 Mission Objectives

Practice typing production-grade PySpark code for Floating Point Fields with DoubleType and FloatType.

✓ Import DoubleType and FloatType
✓ Model double-precision price values
✓ Model single-precision discount percentages

🚀 Start Mission

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