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  • mysql使用group_by

    GROUP BY必须得配合聚合函数来用,分组之后你可以计数(COUNT),求和(SUM),求平均数(AVG)等

    常用聚合函数

    • count() 计数
    • sum() 求和
    • avg() 平均数
    • max() 最大值
    • min() 最小值


    语法:

    SELECT column_name, aggregate_function(column_name)
    FROM table_name
    WHERE column_name operator value
    GROUP BY column_name;
    

    如:

    -- 抽奖次数
    SELECT
    	user.`name` AS user_name,
    	count(*) AS lottery_count,
    	location.`name` AS location_name,
    	user_id
    FROM
    	space_turntable_log
    LEFT JOIN user ON user.id = space_turntable_log.user_id
    LEFT JOIN location ON location.id = user.location_id
    GROUP BY
    	user_id;
    

    HAVING

    当然提到GROUP BY 我们就不得不提到HAVING,HAVING相当于条件筛选,但它与WHERE筛选不同,HAVING是对于GROUP BY对象进行筛选。  

    -- 抽奖次数
    SELECT
    user.`name` AS user_name,
    count(*) AS lottery_count,
    location.`name` AS location_name,
    user_id
    FROM
    space_turntable_log
    LEFT JOIN user ON user.id = space_turntable_log.user_id
    LEFT JOIN location ON location.id = user.location_id
    GROUP BY
    user_id HAVING lottery_count>2;
    SELECT
    yx_user. NAME AS 用户名,
    count('*') AS 发布总条数,
    yx_location. NAME AS 城市
    FROM
    yx_space_podcast
    LEFT JOIN yx_user ON yx_user.id = yx_space_podcast.user_id
    LEFT JOIN yx_location ON yx_user.location_id = yx_location.id
    WHERE
    yx_space_podcast.created_at > UNIX_TIMESTAMP('2019-04-01 00:00:00')
    AND yx_space_podcast.created_at < UNIX_TIMESTAMP('2019-04-27 00:00:00')
    AND yx_space_podcast.is_delete = 0
    GROUP BY
    yx_space_podcast.user_id
    HAVING
    发布总条数 > 1
    

      

      

        



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  • 原文地址:https://www.cnblogs.com/webclz/p/10723997.html
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