How can we deduplicate a dataset based only on specific business keys like customer_id and transaction_date?
dropDuplicates(subset=[...]) retains the first encountered row for each unique combination of specified key columns.
Enforcing unique primary key constraints when non-key metadata columns may have minor variations.
df_deduped = df.dropDuplicates(subset=["customer_id", "transaction_date"])Practice typing production-grade PySpark code for Business Key Deduplication with dropDuplicates().