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PYSPARK โ€ข LESSON 224

Highest Priority Deduplication

How can we resolve duplicate records by selecting the record with the highest priority source system?

Advancedโฑ 3 Minutesโญ 830 XP
๐Ÿค” THE QUESTION

How can we resolve duplicate records by selecting the record with the highest priority source system?

๐Ÿ’ก WHAT IS IT?

Ordering by a custom priority integer or source confidence score inside a Window function resolves duplicate conflicts deterministically.

๐ŸŽฏ WHAT IS IT USED FOR?

Master Data Management (MDM) merging customer records from multiple enterprise CRM systems.

๐Ÿ’ป EXAMPLE
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")

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Highest Priority Deduplication.

  • โœ“ Source system priority ranking
  • โœ“ Deterministic conflict resolution
  • โœ“ Master Data Management merging