How can we resolve duplicate records by selecting the record with the highest priority source system?
Ordering by a custom priority integer or source confidence score inside a Window function resolves duplicate conflicts deterministically.
Master Data Management (MDM) merging customer records from multiple enterprise CRM systems.
w = Window.partitionBy("account_id").orderBy(col("source_priority").desc(), col("last_modified").desc())
df_master = df.withColumn("rank", row_number().over(w)).filter(col("rank") == 1).drop("rank")Practice typing production-grade PySpark code for Highest Priority Deduplication.