How to carry out reasonable database design to support high concurrency flash sale system

How to carry out reasonable database design to support a high-concurrency flash sale system
As a high-concurrency application scenario, the flash sale activity has very high requirements on the performance and stability of the system. Database design is a key link in the flash sale system. Reasonable database design can effectively improve the system's concurrent processing capabilities and response speed. This article will introduce how to carry out reasonable database design to support a high-concurrency flash sale system, and attach specific code examples.

1. Database Selection
When designing a high-concurrency flash sale system, it is crucial to choose a suitable database. Traditional relational databases such as MySQL have performance bottlenecks when dealing with high concurrency, so we can consider using NoSQL databases such as Redis to store the data of the flash sale system. Redis is a high-performance key-value database based on memory. It has the advantages of fast reading and writing speed and supports high concurrency. It is very suitable for use in flash sale systems.

2. Data table design
When designing the data table, the following aspects need to be considered:

1. Product table
   The product table is used to store the data in the flash sale system Product information, including product ID, name, inventory quantity and other fields. The sample code is as follows:

CREATE TABLE IF NOT EXISTS tb_goods (

`id` INT(10) UNSIGNED AUTO_INCREMENT COMMENT '商品ID',
`name` VARCHAR(100) NOT NULL COMMENT '商品名称',
`stock` INT(10) UNSIGNED NOT NULL DEFAULT '0' COMMENT '库存数量',
PRIMARY KEY (`id`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='goods table';

2. Order table
   The order table is used to store order information in the flash sale system, including order ID, user ID, product ID and other fields. The sample code is as follows:

CREATE TABLE IF NOT EXISTS tb_order (

`id` INT(10) UNSIGNED AUTO_INCREMENT COMMENT '订单ID',
`user_id` INT(10) UNSIGNED NOT NULL COMMENT '用户ID',
`goods_id` INT(10) UNSIGNED NOT NULL COMMENT '商品ID',
PRIMARY KEY (`id`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='Order Table';

3. Inventory table
   The inventory table is used to store product inventory information in the flash sale system, including product ID, inventory quantity and other fields. The sample code is as follows:

CREATE TABLE IF NOT EXISTS tb_stock (

`id` INT(10) UNSIGNED AUTO_INCREMENT COMMENT '库存ID',
`goods_id` INT(10) UNSIGNED NOT NULL COMMENT '商品ID',
`stock` INT(10) UNSIGNED NOT NULL DEFAULT '0' COMMENT '库存数量',
PRIMARY KEY (`id`),
KEY `idx_goods_id` (`goods_id`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='stock table';

4. Second sale record table
   The flash sale record table is used to store the flash sale record information in the flash sale system, including fields such as user ID, product ID, and flash sale time. The sample code is as follows:

CREATE TABLE IF NOT EXISTS tb_seckill_record (

`id` INT(10) UNSIGNED AUTO_INCREMENT COMMENT '秒杀记录ID',
`user_id` INT(10) UNSIGNED NOT NULL COMMENT '用户ID',
`goods_id` INT(10) UNSIGNED NOT NULL COMMENT '商品ID',
`seckill_time` DATETIME NOT NULL COMMENT '秒杀时间',
PRIMARY KEY (`id`),
KEY `idx_goods_id` (`goods_id`),
KEY `idx_user_id_goods_id` (`user_id`,`goods_id`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='seckill record table';

3. Code implementation

1. Reduction of product inventory
   In the flash sale system, when the user initiates a flash sale request, it is necessary to first determine whether the inventory of the product is sufficient. If it is sufficient, the inventory will be reduce. The sample code is as follows:

public boolean decreaseStock(int goodsId) {

int affectedRows = stockMapper.decreaseStock(goodsId);
return affectedRows > 0;

}

2. Create order
   After the flash sale is successful, you need to create order and insert it into the orders table. The sample code is as follows:

public boolean createOrder(int userId, int goodsId) {

Order order = new Order();
order.setUserId(userId);
order.setGoodsId(goodsId);
int affectedRows = orderMapper.createOrder(order);
return affectedRows > 0;

}

4. High concurrency processing
In high concurrency In the flash sale system, in order to avoid problems such as overselling and repeated purchases, technologies such as distributed locks and queues can be used to limit and control the system's current flow. For example, you can use Redis's distributed lock to lock operations such as reducing inventory and creating orders to ensure data consistency and the correctness of concurrent processing.

To sum up, reasonable database design is the key to supporting a high-concurrency flash sale system. By selecting an appropriate database and designing a reasonable data table structure, as well as using technologies such as distributed locks and queues to limit and control the system's current, the system's concurrent processing capabilities and response speed can be effectively improved. The above is the introduction of this article on how to carry out reasonable database design to support a high-concurrency flash sale system. I hope it will be helpful to readers.

(Note: The above sample code is for reference only. The actual database design and code implementation need to be adjusted and optimized according to specific business scenarios.)

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