Question

我在一个月前在网站上建立了一个查询。它工作正常。但一个月后，我被告知该网站加载页面变得非常缓慢。

当我搜索问题时，我发现我的查询执行速度非常慢，无法从mysql数据库中获取数据。然后我检查数据库，发现我通过连接使用的4个表分别有大约216850,167634,64000,931行。

我已将索引编入索引。所以，我缺乏的地方。请帮帮我们。

[编辑]

Table1: user_alert
Records: 216850
DB Type: InnoDB
Indexes: id(primary)

Table2: orders
Records: 167634
DB Type: InnoDB
Indexes: id(primary), order_id, customer_id

Table3: user_registration
Records: 64000 around
DB Type: InnoDB
Indexes: id(primary), email_address

Table4: cities
Records: 931
DB Type: InnoDB
Indexes: id(primary)

查询：

SELECT uas.alert_id, uas.user_id, uas.status, ur.first_name, ur.last_name, ur.email_address, o.order_id,
CASE WHEN ct.city_name IS NULL THEN uas.city_name ELSE ct.city_name END AS city_name
FROM `user_alert` uas
LEFT JOIN orders o ON o.customer_id = uas.user_id
LEFT JOIN user_registration ur ON ur.id = uas.user_id
LEFT JOIN `cities` ct ON ct.city_id = uas.city_id
WHERE uas.status = '1'
GROUP BY uas.user_id
ORDER BY uas.create_date DESC

Answer 1

GROUP BY用于聚合值。例如，如果您想要用户的订单数量，您可以使用COUNT（o.order_id）..... GROUP BY uas.user_id。每个用户有多个订单，但聚合函数只是在这里计算它们。但是，如果您在拥有GROUP BY uas.user_id时只选择o.order_id，则它不知道为该用户ID返回的可能多个order_id值中的哪一个。

在这种情况下，它可能无关紧要，因为看起来订单表是唯一一个每次使用多行的订单表。如果你想要最新的那个，你可以使用MAX（o.order_id）（假设order_id被分配是订单）。但如果你想要订单价值就会变得更加困难。

SELECT uas.alert_id, uas.user_id, uas.status, ur.first_name, ur.last_name, ur.email_address, MAX(o.order_id) AS LatestOrderId,
IFNULL(ct.city_name, uas.city_name) AS city_name
FROM `user_alert` uas
LEFT JOIN orders o ON o.customer_id = uas.user_id
LEFT JOIN user_registration ur ON ur.id = uas.user_id
LEFT JOIN `cities` ct ON ct.city_id = uas.city_id
WHERE uas.status = '1'
GROUP BY uas.user_id
ORDER BY uas.create_date DESC

如果您想要最新订单的（比较）值，则会变得更加困难。

SELECT uas.alert_id, uas.user_id, uas.status, ur.first_name, ur.last_name, ur.email_address, Sub1.MaxOrderId AS LatestOrderId, o.order_value
IFNULL(ct.city_name, uas.city_name) AS city_name
FROM `user_alert` uas
LEFT JOIN (SELECT customer_id, MAX(order_id) AS MaxOrderId FROM orders GROUP BY customer_id) Sub1 ON Sub1.customer_id = uas.user_id
LEFT OUTER JOIN orders o ON o.customer_id = Sub1.user_id AND o.order_id = Sub1.MaxOrderId
LEFT JOIN user_registration ur ON ur.id = uas.user_id
LEFT JOIN `cities` ct ON ct.city_id = uas.city_id
WHERE uas.status = '1'
ORDER BY uas.create_date DESC

或者做一些基于GROUP_CONCAT的小提琴

SELECT uas.alert_id, uas.user_id, uas.status, ur.first_name, ur.last_name, ur.email_address, 
SUBSTRING_INDEX(GROUP_CONCAT(o.order_id ORDER BY o.order_id DESC), ',', 1) AS LatestOrderId, 
SUBSTRING_INDEX(GROUP_CONCAT(o.order_value ORDER BY o.order_id DESC), ',', 1) AS LatestOrderValue, 
IFNULL(ct.city_name, uas.city_name) AS city_name
FROM `user_alert` uas
LEFT OUTER JOIN orders o ON o.customer_id = uas.user_id AND o.order_id = Sub1.MaxOrderId
LEFT JOIN user_registration ur ON ur.id = uas.user_id
LEFT JOIN `cities` ct ON ct.city_id = uas.city_id
WHERE uas.status = '1'
GROUP BY uas.user_id
ORDER BY uas.create_date DESC

当数据达到100000时，mysql查询变慢

1 个答案: