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  • MYSQL分段统计

    产品表

    CREATE TABLE `product` (

      `product_id` int(11) NOT NULL AUTO_INCREMENT,

      `product_model` varchar(255) NOT NULL,

       `product_price` decimal(15,4) NOT NULL,  

       `product_status` tinyint(1) unsigned NOT NULL,

       `product_add_time` int(11) unsigned DEFAULT '0',

      PRIMARY KEY (`product_id`),

      KEY `product_price` (`product_price`) USING BTREE

    ) ENGINE=InnoDB AUTO_INCREMENT=24 DEFAULT CHARSET=utf-8
    分类表

    CREATE TABLE `category` (

        `category_id` int(11) unsigned NOT NULL AUTO_INCREMENT,

       `category_name` varchar(255) NOT NULL,

      PRIMARY KEY (`category_id`)

      ) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf-8
    产品分类表

    CREATE TABLE `product_to_category` (

      `product_id` int(11) unsigned NOT NULL,

      `category_id` int(11) unsigned NOT NULL,

      PRIMARY KEY (`product_id`,`category_id`)

      ) ENGINE=InnoDB DEFAULT CHARSET=utf-8

    要获取产品价格区间统计上架的Shoes类别的产品,状态为在售停售的数目

    SELECT    

    sum(CASE when product.product_price<10 then 1 else 0 end)   AS '(0,10)',    

    sum(CASE when  product.product_price>=10 and  product.product_price<20 then 1 else 0 end)   AS '[10,20)',    

    sum(CASE when  product.product_price>=20 and  product.product_price<30 then 1 else 0 end)   AS '[20,30)',    

    sum(CASE when  product.product_price>=30 and  product.product_price<40 then 1 else 0 end)   AS '[30,40)',    

    sum(CASE when  product.product_price>=40  then 1 else 0 end)   AS '[40,+)'  

    FROM test.product AS product 

    LEFT JOIN test.product_to_category map ON product.product_id = map.product_id

    LEFT JOIN test.category category ON map.category_id = category.category_id

     WHERE category.category_name = 'Shoes' group by product.product_status;

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  • 原文地址:https://www.cnblogs.com/huixuexidezhu/p/7095713.html
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