Query Planning - How to Generate a Good Query Execution Plan

Delve into the world of query planning with StarRocks! This video sheds light on the multi-stage process of formulating an effective query execution plan and how StarRocks stands out in this domain.

🎥 Key Takeaways:
00:00 intro

00:09 The Journey of SQL Queries in StarRocks
⭐ Watch as an SQL query transitions through parsing to an abstract syntax tree (AST), undergoes analysis for metadata binding and SQL legality, transforms into a logical plan, and culminates as a physical plan through the optimizer. Grasp the pivotal differences between the logical and physical plans and the significance of the optimizer.

01:43 StarRocks' Cost-Based Optimizer Unveiled
⭐ Gain insights into the intricate world of StarRocks' cost-based optimizer. It's more than just heuristics; it's about leveraging real statistics to chart out the best query path. Understand its complexities, especially when dealing with tasks like join reordering, and learn about its iterative journey to efficiency, heavily influenced by the feedback from StarRocks' open-source community.

05:14 Data Pruning via Global Runtime Filter:
⭐ Dive into the concept of data pruning in StarRocks, especially the role of the global runtime filter. Using practical examples, explore how predicates can be ingeniously utilized to significantly reduce the data processed by the CPU. Additionally, delve into the challenges posed by distributed environments and the trade-offs between filter benefits and network costs.

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