A Delta‑backed star schema joins one large fact table with several small dimension tables on equality keys. What SQL tactic usually gives the best first‑step speedup?
1Times asked
May 2026Last seen
May 2026First seen
💡 Model Answer
The fastest first‑step optimization is to broadcast the small dimension tables. Use a BROADCAST hint (or set spark.sql.autoBroadcastJoinThreshold appropriately) so the optimizer pushes the dimensions into memory on each executor. Ensure accurate statistics are available so the planner chooses the broadcast plan. This eliminates shuffle, reduces I/O, and dramatically speeds up the join, especially when the fact table is large and the dimensions are tiny.
This answer was generated by AI for study purposes. Use it as a starting point — personalize it with your own experience.
🎤 Get questions like this answered in real-time
Assisting AI listens to your interview, captures questions live, and gives you instant AI-powered answers — invisible to screen sharing.
Get Assisting AI — Starts at ₹500