When scaling out mid-query pays

Worked examples, recomputed

Every number the mechanisms quote for this relationship is recomputed from it, so none of them disagrees with it.

• 60 core-s, 10 → 20 workers saves 3 s against 30 s of startup
• 100 core-s of 1 s tasks → about 10 workers with decent balance

Where it appears

Each mechanism states it in its own names. The general symbol each name stands for is shown with it.

• Execution Engine Runtime

  Once a query plan is chosen, why does the machine still sit idle, and what does each mechanism of a query runtime pay to buy that idle time back?

  $$\text{remaining}/p-\text{remaining}/p^{\prime }\text{vs}S$$

  Read it in place →