MySql分组后随机获取每组一条数据的操作

思路：先随机排序然后再分组就好了。

1、创建表：

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CREATE TABLE `xdx_test` (   `id` int (11) NOT NULL ,   ` name ` varchar (255) DEFAULT NULL ,   `class` varchar (255) DEFAULT NULL ,   PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

2、插入数据

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INSERT INTO xdx_test VALUES (1, '张三-1' , '1' ); INSERT INTO xdx_test VALUES (2, '李四-1' , '1' ); INSERT INTO xdx_test VALUES (3, '王五-1' , '1' ); INSERT INTO xdx_test VALUES (4, '张三-2' , '2' ); INSERT INTO xdx_test VALUES (5, '李四-2' , '2' ); INSERT INTO xdx_test VALUES (6, '王五-2' , '2' ); INSERT INTO xdx_test VALUES (7, '张三-3' , '3' ); INSERT INTO xdx_test VALUES (8, '李四-3' , '3' ); INSERT INTO xdx_test VALUES (9, '王五-3' , '3' );

3、查询语句

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SELECT * FROM   ( SELECT * FROM xdx_test ORDER BY RAND()) a GROUP BY a.class

4、查询结果

3 王五-1 1

5 李四-2 2

9 王五-3 3

3 王五-1 1

4 张三-2 2

7 张三-3 3

2 李四-1 1

5 李四-2 2

8 李四-3 3

补充知识：mysql实现随机获取几条数据的方法（效率和离散型比较）

sql语句有几种写法、效率、以及离散型 比较

1：SELECT * FROM tablename ORDER BY RAND() LIMIT 想要获取的数据条数；

2：SELECT *FROM `table` WHERE id >= (SELECT FLOOR( MAX(id) * RAND()) FROM `table` ) ORDER BY id LIMIT 想要获取的数据条数;

3：SELECT * FROM `table` AS t1 JOIN (SELECT ROUND(RAND() * (SELECT MAX(id) FROM `table`)) AS id) AS t2 WHERE t1.id >= t2.id

ORDER BY t1.id ASC LIMIT 想要获取的数据条数;

4：SELECT * FROM `table`WHERE id >= (SELECT floor(RAND() * (SELECT MAX(id) FROM `table`))) ORDER BY id LIMIT 想要获取的数据条数;

5：SELECT * FROM `table` WHERE id >= (SELECT floor( RAND() * ((SELECT MAX(id) FROM `table`)-(SELECT MIN(id) FROM `table`)) + (SELECT MIN(id) FROM `table`))) ORDER BY id LIMIT 想要获取的数据条数;

6：SELECT * FROM `table` AS t1 JOIN (SELECT ROUND(RAND() * ((SELECT MAX(id) FROM `table`)-(SELECT MIN(id) FROM `table`))+(SELECT MIN(id) FROM `table`)) AS id) AS t2 WHERE t1.id >= t2.id ORDER BY t1.id LIMIT 想要获取的数据条数;

1的查询时间>>2的查询时间>>5的查询时间>6的查询时间>4的查询时间>3的查询时间，也就是3的效率最高。

以上6种只是单纯的从效率上做了比较；

上面的6种随机数抽取可分为2类：

第一个的离散型比较高，但是效率低；其他5个都效率比较高，但是存在离散性不高的问题；

怎么解决效率和离散型都满足条件啦？

我们有一个思路就是： 写一个存储过程；

select * FROM test t1 JOIN (SELECT ROUND(RAND() * ((SELECT MAX(id) FROM test)-(SELECT MIN(id) FROM test)) + (SELECT MIN(id) FROM test)) AS id) t2 where t1.id >= t2.id limit 1

每次取出一条，然后循环写入一张临时表中；最后返回 select 临时表就OK；

这样既满足了效率又解决了离散型的问题；可以兼并二者的优点；

下面是具体存储过程的伪代码

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DROP PROCEDURE IF EXISTS `evaluate_Check_procedure`; DELIMITER ;; CREATE DEFINER=`root`@`%` PROCEDURE `evaluate_Check_procedure`( IN startTime datetime, IN endTime datetime, IN checkNum INT , IN evaInterface VARCHAR (36)) BEGIN

-- 新建一张临时表 ,存放随机取出的数据

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create temporary table if not exists xdr_authen_tmp (   `ID` bigint (20) NOT NULL AUTO_INCREMENT COMMENT '序号' ,   `LENGTH` int (5) DEFAULT NULL COMMENT '字节数' ,   `INTERFACE` int (3) NOT NULL COMMENT '接口' ,   `XDR_ID` varchar (32) NOT NULL COMMENT 'XDR ID' ,   `MSISDN` varchar (32) DEFAULT NULL COMMENT '用户号码' ,   `PROCEDURE_START_TIME` datetime NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '开始时间' ,   `PROCEDURE_END_TIME` datetime DEFAULT NULL COMMENT '结束时间' ,   `SOURCE_NE_IP` varchar (39) DEFAULT NULL COMMENT '源网元IP' ,   `SOURCE_NE_PORT` int (5) DEFAULT NULL COMMENT '源网元端口' ,   `DESTINATION_NE_IP` varchar (39) DEFAULT NULL COMMENT '目的网元IP' ,   `DESTINATION_NE_PORT` int (5) DEFAULT NULL COMMENT '目的网元端口' ,   `INSERT_DATE` datetime DEFAULT NULL COMMENT '插入时间' ,   `EXTEND1` varchar (50) DEFAULT NULL COMMENT '扩展1' ,   `EXTEND2` varchar (50) DEFAULT NULL COMMENT '扩展2' ,   `EXTEND3` varchar (50) DEFAULT NULL COMMENT '扩展3' ,   `EXTEND4` varchar (50) DEFAULT NULL COMMENT '扩展4' ,   `EXTEND5` varchar (50) DEFAULT NULL COMMENT '扩展5' ,   PRIMARY KEY (`ID`,`PROCEDURE_START_TIME`),   KEY `index_procedure_start_time` (`PROCEDURE_START_TIME`),   KEY `index_source_dest_ip` (`SOURCE_NE_IP`,`DESTINATION_NE_IP`),   KEY `index_xdr_id` (`XDR_ID`) ) ENGINE = InnoDB DEFAULT CHARSET=utf8;   BEGIN DECLARE j INT ; DECLARE i INT ;   DECLARE CONTINUE HANDLER FOR NOT FOUND SET i = 1;

-- 这里的checkNum是需要随机获取的数据数，比如随机获取10条，那这里就是10，通过while循环来逐个获取单个随机记录；

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SET j = 0; WHILE j < checkNum DO   set @sqlexi = concat( ' SELECT t1.ID,t1.LENGTH,t1.LOCAL_PROVINCE,t1.LOCAL_CITY,t1.OWNER_PROVINCE,t1.OWNER_CITY,t1.ROAMING_TYPE,t1.INTERFACE,t1.XDR_ID,t1.RAT,t1.IMSI,t1.IMEI,t1.MSISDN,t1.PROCEDURE_START_TIME,t1.PROCEDURE_END_TIME,t1.TRANSACTION_TYPE,t1.TRANSACTION_STATUS,t1.SOURCE_NE_IP,t1.SOURCE_NE_PORT,t1.DESTINATION_NE_IP,t1.DESTINATION_NE_PORT,t1.RESULT_CODE,t1.EXPERIMENTAL_RESULT_CODE,t1.ORIGIN_REALM,t1.DESTINATION_REALM,t1.ORIGIN_HOST,t1.DESTINATION_HOST,t1.INSERT_DATE' ,      ' into @ID,@LENGTH,@LOCAL_PROVINCE,@LOCAL_CITY,@OWNER_PROVINCE,@OWNER_CITY,@ROAMING_TYPE,@INTERFACE,@XDR_ID,@RAT,@IMSI,@IMEI,@MSISDN,@PROCEDURE_START_TIME,@PROCEDURE_END_TIME,@TRANSACTION_TYPE,@TRANSACTION_STATUS,@SOURCE_NE_IP,@SOURCE_NE_PORT,@DESTINATION_NE_IP,@DESTINATION_NE_PORT,@RESULT_CODE,@EXPERIMENTAL_RESULT_CODE,@ORIGIN_REALM,@DESTINATION_REALM,@ORIGIN_HOST,@DESTINATION_HOST,@INSERT_DATE ' ,      ' FROM xdr_authen t1 JOIN (SELECT ROUND(RAND() * ((SELECT MAX(id) FROM xdr_authen)-(SELECT MIN(id) FROM xdr_authen)) + (SELECT MIN(id) FROM xdr_authen)) AS id) t2' ,      ' WHERE t1.PROCEDURE_START_TIME >= "' ,startTime, '"' ,         ' AND t1.PROCEDURE_START_TIME < "' ,endTime, '"' , ' AND t1.INTERFACE IN (' ,evaInterface, ')' ,         ' and t1.id >= t2.id limit 1' );   PREPARE sqlexi FROM @sqlexi;   EXECUTE sqlexi;   DEALLOCATE PREPARE sqlexi;

-- 这里获取的记录有可能会重复，如果是重复数据，我们则不往临时表中插入此条数据，再进行下一次随机数据的获取。依次类推，直到随机数据取够为止；

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select count (1) into @num from xdr_authen_tmp where id = @ID;     if @num > 0 or i=1 then    SET j = j;   ELSE    insert into xdr_authen_tmp(ID,LENGTH,LOCAL_PROVINCE,LOCAL_CITY,OWNER_PROVINCE,OWNER_CITY,ROAMING_TYPE,INTERFACE,XDR_ID,RAT,IMSI,IMEI,MSISDN,PROCEDURE_START_TIME,PROCEDURE_END_TIME,TRANSACTION_TYPE,TRANSACTION_STATUS,SOURCE_NE_IP,SOURCE_NE_PORT,DESTINATION_NE_IP,DESTINATION_NE_PORT,RESULT_CODE,EXPERIMENTAL_RESULT_CODE,ORIGIN_REALM,DESTINATION_REALM,ORIGIN_HOST,DESTINATION_HOST,INSERT_DATE)    VALUES (@ID,@LENGTH,@LOCAL_PROVINCE,@LOCAL_CITY,@OWNER_PROVINCE,@OWNER_CITY,@ROAMING_TYPE,@INTERFACE,@XDR_ID,@RAT,@IMSI,@IMEI,@MSISDN,@PROCEDURE_START_TIME,@PROCEDURE_END_TIME,@TRANSACTION_TYPE,@TRANSACTION_STATUS,@SOURCE_NE_IP,@SOURCE_NE_PORT,@DESTINATION_NE_IP,@DESTINATION_NE_PORT,@RESULT_CODE,@EXPERIMENTAL_RESULT_CODE,@ORIGIN_REALM,@DESTINATION_REALM,@ORIGIN_HOST,@DESTINATION_HOST,@INSERT_DATE);      SET j = j + 1;   end if;   SET i=0;   END WHILE;

-- 最后我们将所有的随机数查询出来，以结果集的形式返回给后台

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select ID,LENGTH,LOCAL_PROVINCE,LOCAL_CITY,OWNER_PROVINCE,OWNER_CITY,ROAMING_TYPE,INTERFACE,XDR_ID,RAT,IMSI,IMEI,MSISDN,PROCEDURE_START_TIME,PROCEDURE_END_TIME,TRANSACTION_TYPE,TRANSACTION_STATUS,SOURCE_NE_IP,SOURCE_NE_PORT,DESTINATION_NE_IP,DESTINATION_NE_PORT,RESULT_CODE,EXPERIMENTAL_RESULT_CODE,ORIGIN_REALM,DESTINATION_REALM,ORIGIN_HOST,DESTINATION_HOST,INSERT_DATE from xdr_authen_tmp;   END ; truncate TABLE xdr_authen_tmp;   END ;; DELIMITER ;

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原文链接：https://blog.csdn.net/Tomwildboar/article/details/107191107