Applying UDFs to DataFrame Columns

How do we invoke a registered UDF inside withColumn() to create a masked email column?

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🤔 THE QUESTION

How do we invoke a registered UDF inside withColumn() to create a masked email column?

💡 WHAT IS IT?

Calling the UDF object with Column arguments inside withColumn() to evaluate row-by-row Python logic.

🎯 WHAT IS IT USED FOR?

Anonymizing PII fields in staging tables before publishing to shared analytical workspaces.

💻 EXAMPLE

from pyspark.sql.functions import col

df = df.withColumn("masked_email", mask_email_udf(col("email")))

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