• mysql常用命令积累


    总结下工作中常用到的mysql命令

    1.// 查询今天的数据
    SELECT * FROM 表名 WHERE to_days(时间字段) = to_days(now());

    2.// 查询昨天的数据
    SELECT * FROM 表名 WHERE to_days(now()) - to_days(时间字段) <= 1;

    如:

    SELECT * FROM t_store_voucher_record WHERE to_days(now()) - to_days(create_time) = 1;


    3.// 查询最近七天的数据
    SELECT * FROM 表名 WHERE date_sub(curdate(), interval 7 day) <= date(时间字段);

    4.//查询当前月份的数据

    select * from 表名  where DATE_FORMAT(时间字段,'%Y-%m')=DATE_FORMAT(now(),'%Y-%m')

    5.//查询距离现在6个月内的数据

    select * from 表名  where 时间字段  between  DATE_SUB(now(),INTERVAL 6 MONTH) and now();

    6.//查询10分钟以内的数据

    select * from 表名 where 时间字段>=CURRENT_TIMESTAMP-INTERRVAL  10 MINUTE;

    7.//查询上周数据

    select * from 表名 where  YEARWEEK(date_format(时间字段,'%Y-%m-%d'))=YEARWEEK(now())-1;

    8.// 查询最近30天的数据

    SELECT * FROM 表名 WHERE date_sub(curdate(), interval 30 day) <= date(时间字段);

    9.//查询上月数据  

    SELECT * FROM 表名  WHERE PERIOD_DIFF(DATE_FORMAT(now(),'%Y-%m'),DATE_FORMAT(时间字段名,'%Y-%m'))=1;

    10.//查询本季度数据

    select * from 表名 where QUARTER(时间字段) = QUARTER(now())
     

    11.//查询上季度数据

    select * from 表名 where QUARTER(时间字段) = QUARTER(DATE_SUB(now(),interval 1 QUARTER));
     

    12、查询本年数据
    select * from 表名 where YEAR(时间字段) = YEAR(now());


    13、查询上年数据
    select * from 表名 where YEAR(时间字段) = YEAR(DATE_SUB(now(), INTERVAL 1 year))

    14、查询当前这周数据
    select * from 表名 where YEARWEEK(date_format(时间字段,'%Y-%m-%d')) = YEARWEEK(now())
     

    15、查询上个⽉的数据
    select * from 表名 where date_format(submittime,'%Y-%m') = date_format(DATE_SUB(curdate(), INTERVAL 1 MONTH),'%Y-
    %m')
    select * from 表名 where DATE_FORMAT(时间字段,'%Y%m') = DATE_FORMAT(CURDATE(),'%Y%m');
    select * from 表名 where WEEKOFYEAR(FROM_UNIXTIME(时间字段,'%y-%m-%d')) = WEEKOFYEAR(now());
    select * from 表名 where MONTH(FROM_UNIXTIME(时间字段,'%y-%m-%d')) = MONTH(now())
    select * from 表名 where YEAR(FROM_UNIXTIME(时间字段,'%y-%m-%d')) = YEAR(now()) and MONTH(FROM_UNIXTIME(时间
    字段,'%y-%m-%d')) = MONTH(now());
    select * from 表名 where 时间字段 between 上⽉最后⼀天 and 下⽉第⼀天;

    16.更改部分数据

    update commodity_group_commodity set sort_no= 0 where ref_commodity_id in ('8aaaf90c7fbfe655017fd5',
    '8aaaf90c7fbfe655017fd5',
    '8aaaf90c7fbfe655017fd5,
    '8aaaf90c7fbfe655017fd4',
    '8aaaa2237e525d48017f',
    '8aaae79f7e525e68017e') and ref_commodity_group_id = '8aaab123794bc0ee0179';

    17.查询本⽉数据
    select * from 表名 where DATE_FORMAT(时间字段名, '%Y%m') = DATE_FORMAT(CURDATE( ), '%Y%m');

    18.按天统计

    SELECT
      FROM_UNIXTIME(时间字段名,'%c月%e日') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `表名` 
    GROUP BY
      日期;

    19.按周统计

    SELECT
      FROM_UNIXTIME(时间字段名,'%Y年%u周') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `order` 
    GROUP BY
      日期;

    20.按月统计

    SELECT
      FROM_UNIXTIME(时间字段名,'%Y年%c月') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `order` 
    GROUP BY
      日期;

    21.按季度统计

    SELECT
      CONCAT(YEAR(FROM_UNIXTIME(时间字段名)),'年第',QUARTER(FROM_UNIXTIME(时间字段名)),'季度') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `order` 
    GROUP BY
      日期;

    22.按半年统计

    SELECT
      CONCAT(YEAR(FROM_UNIXTIME(add_time)),'年',IF(CEIL(QUARTER(FROM_UNIXTIME(时间字段名))/2)=1,'上','下'),'半年') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `order` 
    GROUP BY
      日期;

    23.按年统计

    SELECT
      FROM_UNIXTIME(时间字段名,'%Y年') 日期,
      count(*) 订单数,
      sum(统计字段名) 订单金额
    FROM
      `order` 
    GROUP BY
      日期;

    24.分类统计

    select  <column>  from  <table>  [where conditions]  group by  <column> ;

    SELECT
    count( CASE WHEN t1.order_type = 2 THEN 0 END ) sumCountOfOrderForCustomize,
    sum( CASE WHEN t1.order_type = 2 AND t1.pay_time IS NOT NULL THEN t1.amt ELSE 0 END ) sumAmtOfSalesForCustomize
    FROM
    t_order t1
    LEFT JOIN t_customizer_order_record t2 ON t1.id = t2.ref_order_id
    WHERE
    t1.del_flag = 0
    AND t2.unit_org_code = '3901004'

    25.分类统计

    SELECT count( case_result = '1' OR NULL ) AS  result_good,count( case_result = '0' OR NULL ) AS  result_bad, CAST(testday AS CHAR)  AS date FROM testcase WHERE datediff( now(), testday )<= 9 GROUP BY testday;

    SELECT count( business_type = '8' OR NULL ) hh1,count( business_type = '0' OR NULL ) hh2, CAST(DATE_FORMAT(create_time, '%Y%m') AS CHAR) hh3 FROM approve_record  GROUP BY DATE_FORMAT(create_time, '%Y%m')  ORDER BY DATE_FORMAT(create_time, '%Y%m') DESC;  根据月份进行分组统计

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  • 原文地址:https://blog.csdn.net/hy1308060113/article/details/125196896