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myql如何实现行转列统计查询

发布时间:2021-10-29 17:01:55 来源:亿速云 阅读:221 作者:小新 栏目:MySQL数据库

这篇文章主要介绍了myql如何实现行转列统计查询,具有一定借鉴价值,感兴趣的朋友可以参考下,希望大家阅读完这篇文章之后大有收获,下面让小编带着大家一起了解一下。

1 原始数据
-- ----------------------------
-- Table structure for `t_bm_repeat_purchase`
-- ----------------------------
DROP TABLE IF EXISTS `t_bm_repeat_purchase`;
CREATE TABLE `t_bm_repeat_purchase` (
  `months` int(2) DEFAULT NULL COMMENT '月份',
  `total` bigint(21) NOT NULL DEFAULT '0' COMMENT '查询月份对应的下一个月后或几个月后的购买用户数',
  `seq` bigint(20) DEFAULT NULL COMMENT '序列号',
  `next_months` bigint(4) DEFAULT NULL COMMENT 'months 字段对应的第几个月后,1月后,2月后,3月后。。。'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of t_bm_repeat_purchase
-- ----------------------------
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '1170', '2', '2');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '2144', '2', '3');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '1012', '2', '4');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '873', '2', '5');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '785', '2', '6');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '1008', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('1', '773', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '1446', '2', '3');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '700', '2', '4');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '665', '2', '5');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '533', '2', '6');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '694', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('2', '551', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('3', '1530', '2', '4');
INSERT INTO `t_bm_repeat_purchase` VALUES ('3', '1273', '2', '5');
INSERT INTO `t_bm_repeat_purchase` VALUES ('3', '1062', '2', '6');
INSERT INTO `t_bm_repeat_purchase` VALUES ('3', '1367', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('3', '1044', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('4', '1035', '2', '5');
INSERT INTO `t_bm_repeat_purchase` VALUES ('4', '775', '2', '6');
INSERT INTO `t_bm_repeat_purchase` VALUES ('4', '949', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('4', '790', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('5', '939', '2', '6');
INSERT INTO `t_bm_repeat_purchase` VALUES ('5', '1304', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('5', '1066', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('6', '1110', '2', '7');
INSERT INTO `t_bm_repeat_purchase` VALUES ('6', '899', '2', '8');
INSERT INTO `t_bm_repeat_purchase` VALUES ('7', '1589', '2', '8');

myql如何实现行转列统计查询

要变成 

myql如何实现行转列统计查询
2  用动态查询 :

 SET @EE='';
set @str_tmp='';
SELECT @EE:=CONCAT(@EE,'SUM(IF(next_months=\'',next_months,'\'',',total,null)) AS "',next_months,'",') as aa into @str_tmp 
FROM (SELECT DISTINCT next_months FROM t_bm_repeat_purchase) A order by length(aa) desc limit 1;
SET @QQ=CONCAT('SELECT  t_bm_repeat_purchase.months,',left(@str_tmp,char_length(@str_tmp)-1),' FROM t_bm_repeat_purchase  GROUP BY months ');
PREPARE stmt  FROM @QQ; 
EXECUTE stmt ;
deallocate prepare stmt; 

动态查询结果:这不是最终我们想要的,舍弃这种查询方法,因为前面为空的数据,还要将后面的数据整体向左平移
myql如何实现行转列统计查询
3 用静态查询

SELECT t.months,
       IF(0>num,NULL,SUBSTRING_INDEX(total, ',', 1)) AS '1',
       IF(1>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 2),',',-1)) AS '2',   -- 这个是算取第1个数
       IF(2>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 3) ,',',-1)) AS '3',  -- 取第2个数
       IF(3>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 4) ,',',-1)) AS '4',  -- 取第三个数
       IF(4>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 5) ,',',-1)) AS '5',
       IF(5>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 6) ,',',-1)) AS '6',
       IF(6>num,NULL,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 7) ,',',-1)) AS '7',
       IF(7>num,NULL, SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 8) ,',',-1)) AS '8',
       IF(8>num,NULL, SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 9) ,',',-1)) AS '9',
       IF(9>num,NULL, SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 10) ,',',-1)) AS '10',
       IF(10>num,NULL, SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 11) ,',',-1)) AS '11'
FROM
  (SELECT a.months,
          CHAR_LENGTH(GROUP_CONCAT(a.total))-CHAR_LENGTH(replace(GROUP_CONCAT(a.total),',','')) as num,  -- 这个是算每个月有几个逗号
          GROUP_CONCAT(a.total ORDER BY a.next_months) AS total
   FROM t_bm_repeat_purchase a
   GROUP BY a.months  ) t;

SELECT a.months,
          CHAR_LENGTH(GROUP_CONCAT(a.total))-CHAR_LENGTH(replace(GROUP_CONCAT(a.total),',','')) as num,  -- 这个是算每个月有几个逗号
          GROUP_CONCAT(a.total ORDER BY a.next_months) AS total
   FROM t_bm_repeat_purchase a
   GROUP BY a.months   这个语句下查询结果:
myql如何实现行转列统计查询


对其进行优化

SELECT t.months,
       IF(num>=1,SUBSTRING_INDEX(total, ',', 1),NULL) AS '1',
       IF(num>=2,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 2),',',-1) ,NULL) AS '2',
       IF(num>=3,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 3) ,',',-1),NULL) AS '3',
       IF(num>=4,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 4) ,',',-1),NULL) AS '4',
       IF(num>=5,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 5) ,',',-1),NULL) AS '5',
       IF(num>=6,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 6) ,',',-1),NULL) AS '6',
       IF(num>=7,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 7) ,',',-1),NULL) AS '7',
       IF(num>=8,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 8) ,',',-1),NULL) AS '8',
       IF(num>=9,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 9) ,',',-1),NULL) AS '9',
       IF(num>=10,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 10) ,',',-1),NULL) AS '10',
       IF(num>=11,SUBSTRING_INDEX(SUBSTRING_INDEX(total, ',', 11) ,',',-1),NULL) AS '11'
FROM
  (SELECT a.months,
          COUNT(*) as num,         --  这边取每个月分别有多少个数据
          GROUP_CONCAT(a.total ORDER BY a.next_months) AS total
   FROM t_bm_repeat_purchase a
   GROUP BY a.months) t;


myql如何实现行转列统计查询

4 动态查询和静态查询优缺点

动态的话,我目前没能做到达到最终结果,并且不方便做insert 表 ,但是可以不限多少月,也就是适用于无限数据的

静态的话 对于基数不大的话,比如12个月,6个月这种能较快列举完的比较合适,对于基数大的就不方便,但是方便做insert 表 ,并且静态的我现在可以做到  需求的要求,所以目前采用动态的做法

感谢你能够认真阅读完这篇文章,希望小编分享的“myql如何实现行转列统计查询”这篇文章对大家有帮助,同时也希望大家多多支持亿速云,关注亿速云行业资讯频道,更多相关知识等着你来学习!

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