MySql分組后隨機(jī)獲取每組一條數(shù)據(jù)的操作,數(shù)據(jù),效率,時(shí)間,李四,條數(shù)

MySql分組后隨機(jī)獲取每組一條數(shù)據(jù)的操作

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思路：先隨機(jī)排序然后再分組就好了。

1、創(chuàng)建表：

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、插入數(shù)據(jù)

INSERT INTO xdx_test VALUES (1, '張三-1','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, '張三-2','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, '張三-3','3');

INSERT INTO xdx_test VALUES (8, '李四-3','3');

INSERT INTO xdx_test VALUES (9, '王五-3','3');

3、查詢語(yǔ)句

SELECT * FROM

(SELECT * FROM xdx_test ORDER BY RAND()) a

GROUP BY a.class

4、查詢結(jié)果

3 王五-1 1

5 李四-2 2

9 王五-3 33 王五-1 1

4 張三-2 2

7 張三-3 32 李四-1 1

5 李四-2 2

8 李四-3 3

補(bǔ)充知識(shí)：mysql實(shí)現(xiàn)隨機(jī)獲取幾條數(shù)據(jù)的方法(效率和離散型比較)

sql語(yǔ)句有幾種寫(xiě)法、效率、以及離散型 比較

1：SELECT * FROM tablename ORDER BY RAND() LIMIT 想要獲取的數(shù)據(jù)條數(shù)；

2：SELECT *FROM `table` WHERE id >= (SELECT FLOOR( MAX(id) * RAND()) FROM `table` ) ORDER BY id LIMIT 想要獲取的數(shù)據(jù)條數(shù);

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 想要獲取的數(shù)據(jù)條數(shù);

4：SELECT * FROM `table`WHERE id >= (SELECT floor(RAND() * (SELECT MAX(id) FROM `table`))) ORDER BY id LIMIT 想要獲取的數(shù)據(jù)條數(shù);

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 想要獲取的數(shù)據(jù)條數(shù);

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 想要獲取的數(shù)據(jù)條數(shù);

1的查詢時(shí)間>>2的查詢時(shí)間>>5的查詢時(shí)間>6的查詢時(shí)間>4的查詢時(shí)間>3的查詢時(shí)間，也就是3的效率最高。

以上6種只是單純的從效率上做了比較；

上面的6種隨機(jī)數(shù)抽取可分為2類：

第一個(gè)的離散型比較高，但是效率低；其他5個(gè)都效率比較高，但是存在離散性不高的問(wèn)題；

怎么解決效率和離散型都滿足條件啦？

我們有一個(gè)思路就是： 寫(xiě)一個(gè)存儲(chǔ)過(guò)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

每次取出一條，然后循環(huán)寫(xiě)入一張臨時(shí)表中；最后返回 select 臨時(shí)表就OK；

這樣既滿足了效率又解決了離散型的問(wèn)題；可以兼并二者的優(yōu)點(diǎn)；

下面是具體存儲(chǔ)過(guò)程的偽代碼

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

-- 新建一張臨時(shí)表 ,存放隨機(jī)取出的數(shù)據(jù)

create temporary table if not exists xdr_authen_tmp (

`ID` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '序號(hào)',

`LENGTH` int(5) DEFAULT NULL COMMENT '字節(jié)數(shù)',

`INTERFACE` int(3) NOT NULL COMMENT '接口',

`XDR_ID` varchar(32) NOT NULL COMMENT 'XDR ID',

`MSISDN` varchar(32) DEFAULT NULL COMMENT '用戶號(hào)碼',

`PROCEDURE_START_TIME` datetime NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '開(kāi)始時(shí)間',

`PROCEDURE_END_TIME` datetime DEFAULT NULL COMMENT '結(jié)束時(shí)間',

`SOURCE_NE_IP` varchar(39) DEFAULT NULL COMMENT '源網(wǎng)元IP',

`SOURCE_NE_PORT` int(5) DEFAULT NULL COMMENT '源網(wǎng)元端口',

`DESTINATION_NE_IP` varchar(39) DEFAULT NULL COMMENT '目的網(wǎng)元IP',

`DESTINATION_NE_PORT` int(5) DEFAULT NULL COMMENT '目的網(wǎng)元端口',

`INSERT_DATE` datetime DEFAULT NULL COMMENT '插入時(shí)間',

`EXTEND1` varchar(50) DEFAULT NULL COMMENT '擴(kuò)展1',

`EXTEND2` varchar(50) DEFAULT NULL COMMENT '擴(kuò)展2',

`EXTEND3` varchar(50) DEFAULT NULL COMMENT '擴(kuò)展3',

`EXTEND4` varchar(50) DEFAULT NULL COMMENT '擴(kuò)展4',

`EXTEND5` varchar(50) DEFAULT NULL COMMENT '擴(kuò)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;

-- 這里的checkNum是需要隨機(jī)獲取的數(shù)據(jù)數(shù)，比如隨機(jī)獲取10條，那這里就是10，通過(guò)while循環(huán)來(lái)逐個(gè)獲取單個(gè)隨機(jī)記錄；

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;

-- 這里獲取的記錄有可能會(huì)重復(fù)，如果是重復(fù)數(shù)據(jù)，我們則不往臨時(shí)表中插入此條數(shù)據(jù)，再進(jìn)行下一次隨機(jī)數(shù)據(jù)的獲取。依次類推，直到隨機(jī)數(shù)據(jù)取夠?yàn)橹?#xff1b;

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;

-- 最后我們將所有的隨機(jī)數(shù)查詢出來(lái)，以結(jié)果集的形式返回給后臺(tái)

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 ;

以上這篇MySql分組后隨機(jī)獲取每組一條數(shù)據(jù)的操作就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持易采站長(zhǎng)站。以上就是關(guān)于對(duì)MySql分組后隨機(jī)獲取每組一條數(shù)據(jù)的操作的詳細(xì)介紹。歡迎大家對(duì)MySql分組后隨機(jī)獲取每組一條數(shù)據(jù)的操作內(nèi)容提出寶貴意見(jiàn)

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