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ShannonBase HTAP Architecture Analysis: From MySQL Optimizer to Vectorized Execution Engine — Overview
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ShannonBase HTAP Architecture Analysis: From MySQL Optimizer to Vectorized Execution Engine — Overview

DEV Community·ShannonData.AI·about 1 month ago
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T his article is the overview in a series introducing ShannonBase’s query optimization and execution. Subsequent articles will provide detailed introductions to each module, systematically analyzing how ShannonBase implements its HTAP capabilities. In the modern database field, HTAP (Hybrid Transactional/Analytical Processing) capability is a core metric for evaluating high-performance databases. ShannonBase, through its Rapid engine (commonly referred to as IMCS — In-Memory Column Store), builds an efficient columnar vectorized execution flow on top of MySQL. The HTAP execution flow of ShannonBase can be summarized in the following five key stages. I. Plan Capture & Translation ShannonBase does not operate completely independently of MySQL; instead, it deeply integrates (Hooks) into MySQL’s optimizer workflow. Intervention Timing: In the current version, after MySQL’s optimizer generates the original AccessPath, ShannonBase’s optimizer begins its intervention.…

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