mysql怎么产生随机数 mysql取随机数

MySQL产生随机数

MYSQL 取随机数

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2010年04月26日 星期一 09:48

mysql 取随机数

--对一个表取任意随机数

SELECT *

FROM TMP_XF_TEST

WHERE ID = (SELECT FLOOR(RAND() * (SELECT MAX(ID) FROM TMP_XF_TEST)))

order by id LIMIT 1;

--有条件性的取随机数

SELECT *

FROM TMP_XF_TEST

WHERE ID = (SELECT FLOOR(RAND() *

((SELECT MAX(ID) FROM TMP_XF_TEST WHERE GID = 9) -

(SELECT MIN(ID) FROM TMP_XF_TEST WHERE GID = 9))) +

(SELECT MIN(ID) FROM TMP_XF_TEST WHERE GID = 9))

AND GID = 9

ORDER BY ID LIMIT 1;

--gid上存在索引

或者

SELECT *

FROM TMP_XF_TEST AS t1 JOIN

(SELECT ROUND(RAND() * ((SELECT MAX(id) FROM TMP_XF_TEST WHERE GID = 9)-(SELECT MIN(id) FROM TMP_XF_TEST WHERE GID = 9))

+(SELECT MIN(id) FROM TMP_XF_TEST WHERE GID = 9)) AS id) AS t2

WHERE t1.id = t2.id AND t1.GID = 9

ORDER BY t1.id LIMIT 1;

#########

不要用下面的杯具写法

mysql insert into tmp_xf_test(user_nick,gid,item_id,gmt_create,gmt_modified,memo)

- select user_nick,gid,item_id,gmt_create,gmt_modified,memo from tmp_xf_test;

Query OK, 165888 rows affected (9.65 sec)

Records: 165888 Duplicates: 0 Warnings: 0

mysql SELECT *

- FROM `tmp_xf_test`

- WHERE id = (SELECT FLOOR( MAX(id) * RAND()) FROM `tmp_xf_test` )

- ORDER BY id LIMIT 1;

+-----+-----------+-----+---------+---------------------+---------------------+--------------------+

| id | user_nick | gid | item_id | gmt_create | gmt_modified | memo |

+-----+-----------+-----+---------+---------------------+---------------------+--------------------+

| 467 | 玄风 | 9 | 123 | 2010-04-26 14:56:39 | 2010-04-26 14:56:39 | 玄风测试使用的数据 |

+-----+-----------+-----+---------+---------------------+---------------------+--------------------+

1 row in set (51.12 sec)

mysql explain SELECT *

- FROM `tmp_xf_test`

- WHERE id = (SELECT FLOOR( MAX(id) * RAND()) FROM `tmp_xf_test` )

- ORDER BY id LIMIT 1\G

*************************** 1. row ***************************

id: 1

select_type: PRIMARY

table: tmp_xf_test

type: index

possible_keys: NULL

key: PRIMARY

key_len: 8

ref: NULL

rows: 1

Extra: Using where

*************************** 2. row ***************************

id: 2

select_type: UNCACHEABLE SUBQUERY

table: tmp_xf_test

type: index

possible_keys: NULL

key: idx_tmp_xf_test_gid

key_len: 4

ref: NULL

rows: 331954

Extra: Using index

2 rows in set (0.01 sec)

---

mysql SELECT * FROM `tmp_xf_test` t1 join

- (SELECT FLOOR( MAX(id) * RAND()) as id FROM `tmp_xf_test` ) as t2

- where t1.id =t2.id

- ORDER BY t1.id LIMIT 1;

+-------+-----------+-----+---------+---------------------+---------------------+--------------------+-------+

| id | user_nick | gid | item_id | gmt_create | gmt_modified | memo | id |

+-------+-----------+-----+---------+---------------------+---------------------+--------------------+-------+

| 40311 | 玄风 | 9 | 123 | 2010-04-28 15:47:19 | 2010-04-28 15:47:19 | 玄风测试使用的数据 | 40311 |

+-------+-----------+-----+---------+---------------------+---------------------+--------------------+-------+

1 row in set (0.14 sec)

##############

mysql SELECT * FROM `tmp_xf_test`

- WHERE id = (SELECT floor(RAND() * (SELECT MAX(id) FROM `tmp_xf_test`)))

- ORDER BY id LIMIT 1;

+------+-----------+-----+---------+---------------------+---------------------+--------------------+

| id | user_nick | gid | item_id | gmt_create | gmt_modified | memo |

+------+-----------+-----+---------+---------------------+---------------------+--------------------+

| 1352 | 玄风 | 9 | 123 | 2010-04-28 15:47:19 | 2010-04-28 15:47:19 | 玄风测试使用的数据 |

+------+-----------+-----+---------+---------------------+---------------------+--------------------+

1 row in set (0.00 sec)

mysql explain SELECT * FROM `tmp_xf_test`

- WHERE id = (SELECT floor(RAND() * (SELECT MAX(id) FROM `tmp_xf_test`)))

- ORDER BY id LIMIT 1\G

*************************** 1. row ***************************

id: 1

select_type: PRIMARY

table: tmp_xf_test

type: index

possible_keys: NULL

key: PRIMARY

key_len: 8

ref: NULL

rows: 1

Extra: Using where

*************************** 2. row ***************************

id: 3

select_type: SUBQUERY

table: NULL

type: NULL

possible_keys: NULL

key: NULL

key_len: NULL

ref: NULL

rows: NULL

Extra: Select tables optimized away

2 rows in set, 1 warning (0.00 sec)

对应的另外一种杯具写法是：

SELECT *

FROM TMP_XF_TEST

WHERE ID = (SELECT FLOOR(RAND() * (MAX(ID) - MIN(ID))) + MIN(ID) MID

FROM TMP_XF_TEST

WHERE GID = 9)

AND GID = 9 LIMIT 1;

mysql如何生成不重复的随机数

mysql的rand函数可以生成一个0到1之间的随机数，进行一定的放大即可得到一个随机数。再通过条件查询来限制新随机数没有在表中出现过。如下所示：

SELECT FLOOR(RAND() * 99999) AS random_numFROM numbers

WHERE "random_num" NOT IN (SELECT my_number FROM numbers)

LIMIT 1

mysql在类中每行填入一个随机数

在mysql调用rand函数生成随机数，sql代码示例：

UPDATE `表名` SET `字段名`=ceiling(rand()*500000+500000) WHERE (条件);

MYSQL 获取随机数的问题！！！！！！！！！！！！！！！

给你提供一个思路你看是否可行；

1.随机数不用MYSQL生成，用程序（如PHP）生成，范围在ID的最大和最小之间；

2.根据生成的随机数去数据库直接查询，如果没有就重复一次操作；

mysql怎么生成不重复的随机数

MySql数据库随机函授Rand()可以产生0~1之间带小数的随机数，只要将括号中的参数留空，所产生的数是完全随机的，出现重复的几率不大，但是不可避免会有重复的可能，如果需要完全避免重复，可以先用随机函数产生一堆数字，然后用剔除其中的重复数这个办法来实现。

例如先用循环产生一批随机数并存入数据表中，再用

select distinct colName from tableName;

选出无重复的随机数予以应用