小编典典

如何处理大型mysql查询

sql

我有以下查询:

SELECT  p2c.pid AS productNumber,
        p.name AS productName
    ,   (
            SELECT COUNT(*)
            FROM   products2customers
            WHERE  pid = p2c.pid
        ) AS registered
    ,   (
            SELECT COUNT(*)
            FROM   products2customers
            WHERE  pid = p2c.pid
               AND date_add(from_unixtime(purchased), INTERVAL 5 YEAR) >= CURDATE()
        ) AS inWarranty
    ,   (
            SELECT COUNT(*)
            FROM   products2customers
            WHERE  pid = p2c.pid
               AND date_add(from_unixtime(purchased), INTERVAL 5 YEAR) < CURDATE()
        ) AS outOfWarranty
    ,   (
            SELECT DATE_FORMAT( MAX( from_unixtime(purchased) ), '%d.%m.%Y')
            FROM   products2customers
            WHERE  pid = p2c.pid
        ) AS lastPurchased
    ,   (
            SELECT DATE_FORMAT( date_add( MAX( from_unixtime(purchased) ), INTERVAL 5 YEAR), '%d.%m.%Y')
            FROM   products2customers
            WHERE  pid = p2c.pid
        ) AS warrantyUntil
FROM    (
            SELECT DISTINCT
                p2c.pid
            FROM
                products2customers p2c
        ) AS p2c
JOIN
    products p
ON
    p.id = p2c.pid
ORDER BY
    inWarranty DESC

查询在具有25.000行的数据库表上执行。该查询的执行时间约为40秒。结果将显示在网页上,因此等待40秒以获取结果并不是很好。

有没有一种方法可以执行此查询并保存其输出?因为如果每天晚上执行此查询就足够了。

最好的方法是什么?我应该创建一个cronjob并执行此查询并将结果写入数据库吗?或者,还有更好的方法?

或者我可以优化此查询以使其更快?


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2021-04-16

共1个答案

小编典典

我认为所有这些相关的子查询都在杀死。试试这个:

SELECT  p2c.pid AS productNumber,
        p.name AS productName,
        COUNT(*) AS registered,
        SUM(date_add(from_unixtime(purchased), INTERVAL 5 YEAR) >= CURDATE()) AS inWarranty,
        SUM(date_add(from_unixtime(purchased), INTERVAL 5 YEAR) < CURDATE()) AS outOfWarranty,
        DATE_FORMAT( MAX( from_unixtime(purchased) ), '%d.%m.%Y') AS lastPurchased,
        DATE_FORMAT( date_add( MAX( from_unixtime(purchased) ), INTERVAL 5 YEAR), '%d.%m.%Y') AS warrantyUntil
FROM products2customers p2c
JOIN products p ON p.id = p2c.pid
GROUP BY p2c.pid
ORDER BY inWarranty DESC
2021-04-16