Stream-Static Joins for Real-Time Enrichment

How do we enrich an incoming real-time event stream by joining against a static dimension table of users?

Production⏱ 2 Minutes⭐ 1280 XP

🤔 THE QUESTION

How do we enrich an incoming real-time event stream by joining against a static dimension table of users?

💡 WHAT IS IT?

Joining a streaming DataFrame against a static DataFrame to perform real-time entity enrichment without state buffering.

🎯 WHAT IS IT USED FOR?

Real-time user profiling, geo-IP lookup enrichment, and fraud scoring streams.

💻 EXAMPLE

dim_users = spark.read.parquet("lakehouse/dim_users")
enriched_stream = streaming_events.join(dim_users, "user_id", "left")

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