Query Hints for Experts
1:13
YouTubeBrent Ozar Unlimited
Query Hints for Experts
Save $150 on the Seattle PASS Summit with Discount Code BRENT25 https://www.brentozar.com/archive/2025/08/save-150-on-the-summit-with-discount-code-brent25/ #sqlserver #sql #dba #database #azure #microsoft #tips #brentozar #pollgab #computerscience #computerconsulting #database #databaseadministrator #careergoals 13:05 Otto Optimizer: Do query ...
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My query had grown over time, i had added more joins, filters, aggregates and calculations until it became the slowest part of my stack. I tried everything: indexes, denormalization, query hints… nothing. The main Problem: A Bloated Analytical Query On a table with: * 5 million users * 50 million orders * 80 million login events It took over 12 seconds on average. The Fix: Reusable Inline CTEs So, instead of joining raw tables multiple times, I pre-aggregated the heavy tables inside CTEs, so eve
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My query had grown over time, i had added more joins, filters, aggregates and calculations until it became the slowest part of my stack. I tried everything: indexes, denormalization, query hints… nothing. The main Problem: A Bloated Analytical Query On a table with: * 5 million users * 50 million orders * 80 million login events It took over 12 seconds on average. The Fix: Reusable Inline CTEs So, instead of joining raw tables multiple times, I pre-aggregated the heavy tables inside CTEs, so eve
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