How do we project individual sub-fields (like address.city) from a nested struct column using dot notation?
Referencing sub-fields with col('struct_name.field_name') to query nested struct hierarchies directly.
Flattening nested records, accessing sub-properties, and extracting specific fields from JSON/Avro payloads.
from pyspark.sql.functions import col
df.select(col("user_id"), col("address.city"), col("address.zipcode")).show()Practice typing production-grade PySpark code for Navigating Nested Struct Fields with Dot Notation.