Filtering Valid Rows with isNotNull()

How do we filter out corrupt records that lack a required primary customer identifier?

Intermediate⏱ 2 Minutes⭐ 330 XP

🤔 THE QUESTION

How do we filter out corrupt records that lack a required primary customer identifier?

💡 WHAT IS IT?

isNotNull() evaluates to True only when the column contains a non-null, valid value.

🎯 WHAT IS IT USED FOR?

Primary key integrity checks, dropping empty foreign keys, and silver-layer data ingestion filters.

💻 EXAMPLE

from pyspark.sql.functions import col

valid_df = df.filter(col("customer_id").isNotNull())

Practice typing production-grade PySpark code for Filtering Valid Rows with isNotNull().