mysql中怎么样过滤字符串中的数字
今天，有网友邮件问我，怎么样过滤掉字符串中的数字，比如：mysql> select * from TEST;
+---------+------------------------+
| Contact | Address |
+---------+------------------------+
| A | 3995 Thomas Drive |
| B | 95 Dewberry Ct |
| C | 635 mill st |
| D | 3050 E 6TH ST |
| E | 3216 Lawndale Ave |
| F | 207 240th st. |
| G | 19 Lockhouse Rd. #14-3 |
+---------+------------------------+
希望能将address中的数字全部过滤掉，变成如下格式：
+---------+---------------------+
| contact | FILTER_NUM(ADDRESS) |
+---------+---------------------+
| A |Thomas Drive |
| B |Dewberry Ct |
| C |mill st |
| D |E TH ST |
| E |Lawndale Ave |
| F |th st. |
| G |Lockhouse Rd. #- |
+---------+---------------------+
马上想到使用mysql中字符串的replace功能来实现，但是查帮助后发现，replace只能对某个字符串进行替换，而无法对多个字符串替换，于是想到了一个笨办法，循环使用replace，如下：
mysql>selectADDRESS,REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(ADDRESS,'0',''),'1',''),'2',''),'3',''),'4',''),'5',''),'6',''),'7',''),'8',''),'9','')filter_num from TEST;
+------------------------+-------------------+
| ADDRESS | filter_num |
+------------------------+-------------------+
| 3995 Thomas Drive |Thomas Drive |
| 95 Dewberry Ct |Dewberry Ct |
| 635 mill st |mill st |
| 3050 E 6TH ST |E TH ST |
| 3216 Lawndale Ave |Lawndale Ave |
| 207 240th st. |th st. |
| 19 Lockhouse Rd. #14-3 |Lockhouse Rd. #- |
+------------------------+-------------------+
7 rows in set (0.00 sec)
当然，也可以写一个函数，以后遇到类似问题也可以使用：
mysql> delimiter //
mysql>create function filter_num(str varchar(100)) returns varchar(100)
-> reads sql data
-> returnREPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(str,'0',''),'1',''),'2',''),'3',''),'4',''),'5',''),'6',''),'7',''),'8',''),'9','');
-> //
Query OK, 0 rows affected (0.00 sec)
mysql> select *,FILTER_NUM(ADDRESS) from TEST;
+---------+------------------------+---------------------+
| Contact | Address | FILTER_NUM(ADDRESS) |
+---------+------------------------+---------------------+
| A | 3995 Thomas Drive |Thomas Drive |
| B | 95 Dewberry Ct |Dewberry Ct |
| C | 635 mill st |mill st |
| D | 3050 E 6TH ST |E TH ST |
| E | 3216 Lawndale Ave |Lawndale Ave |
| F | 207 240th st. |th st. |
| G | 19 Lockhouse Rd. #14-3 |Lockhouse Rd. #- |
+---------+------------------------+---------------------+
7 rows in set (0.00 sec)
不过，这种方法效率不高，因为要对文本进行10次替换，如果文本很大，效率将非常低下，如果要更加高效，可以写更复杂的函数，来进行一次扫描，就完成全部字符串的替换。
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