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
0:09
TikTokcodewithboi
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,
codewithBoi(@codewithboi). original sound - jane. 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 ...
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