Preface

前言

This article addresses a high-concurrency inventory problem in a second-hand market's second-hand market system, focusing on solving the system's inventory deduction issue during flash sales using cache and asynchronous processing to achieve horizontal scalability.

In the inventory layer, inventory is divided into pre-allocated inventory and inventory modules. The example below illustrates the inventory relationship:

Assuming the current inventory is 10,000 pieces, a pre-allocated inventory task is triggered, deducting 400 pieces. Then, an MQ inventory consumption update message is received, updating 30 pieces. Subsequently, another pre-allocated inventory task is triggered, deducting 100 pieces. The inventory changes are shown in the figure below:

 Actual inventory = pre-allocated inventory pool + inventory.

Each pre-allocated inventory task deducts from the pre-allocated inventory pool. If the pool is exhausted, the partition is removed from the registry.

Each MQ inventory update message modifies the actual inventory, transactionally updating pre-allocated inventory and inventory values.

总结

Through this case analysis, we designed the system architecture by combining method theory with actual business scenarios. Removing the business scenario, the essence is to use cache and asynchronous processes to achieve high concurrency and horizontal scalability. However, when applied to actual business, there are many points to consider, such as distributed thinking and pre-allocated inventory logic design.

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