MySQL的扩展SQL中有一个非常有意思的应用WITH ROLLUP,在分组的统计数据的基础上再进行相同的统计(SUM,AVG,COUNThellip;),非
MySQL的扩展SQL中有一个非常有意思的应用WITH ROLLUP,,在分组的统计数据的基础上再进行相同的统计(SUM,AVG,COUNT…),非常类似于Oracle中统计函数的功能,Oracle的统计函数更多更强大。
下面演示单个司机以及所有司机的总行驶里程数和平均行驶里程数:
mysql> select name,sum(miles) as ‘miles/driver’
-> from driver_log group by name with rollup;
+——-+————–+
| name | miles/driver |
+——-+————–+
| Ben | 362 |
| Henry | 911 |
| Suzi | 893 |
| NULL | 2166 |
+——-+————–+
4 rows in set (0.00 sec)
mysql> select name,avg(miles) as driver_avg
-> from driver_log group by name with rollup;
+——-+————+
| name | driver_avg |
+——-+————+
| Ben | 120.6667 |
| Henry | 182.2000 |
| Suzi | 446.5000 |
| NULL | 216.6000 |
+——-+————+
4 rows in set (0.00 sec)
mysql> select name,sum(miles) as ‘miles/driver’,avg(miles) as driver_avg
-> from driver_log group by name with rollup;
+——-+————–+————+
| name | miles/driver | driver_avg |
+——-+————–+————+
| Ben | 362 | 120.6667 |
| Henry | 911 | 182.2000 |
| Suzi | 893 | 446.5000 |
| NULL | 2166 | 216.6000 |
+——-+————–+————+
4 rows in set (0.00 sec)
在多个分组下WITH ROLLUP同样有效:
mysql> select srcuser,dstuser,count(*) from mail group by srcuser,dstuser;
+———+———+———-+
| srcuser | dstuser | count(*) |
+———+———+———-+
| barb | barb | 1 |
| barb | tricia | 2 |
| gene | barb | 2 |
| gene | gene | 3 |
| gene | tricia | 1 |
| phil | barb | 1 |
| phil | phil | 2 |
| phil | tricia | 2 |
| tricia | gene | 1 |
| tricia | phil | 1 |
+———+———+———-+
10 rows in set (0.05 sec)
mysql> select srcuser,dstuser,count(*) from mail group by srcuser,dstuser with rollup;
+———+———+———-+
| srcuser | dstuser | count(*) |
+——–本文来源gao($daima.com搞@代@#码(网-+———+———-+
| barb | barb | 1 |
| barb | tricia | 2 |
| barb | NULL | 3 |
| gene | barb | 2 |
| gene | gene | 3 |
| gene | tricia | 1 |
| gene | NULL | 6 |
| phil | barb | 1 |
| phil | phil | 2 |
| phil | tricia | 2 |
| phil | NULL | 5 |
| tricia | gene | 1 |
| tricia | phil | 1 |
| tricia | NULL | 2 |
| NULL | NULL | 16 |
+———+———+———-+
15 rows in set (0.00 sec)
本文永久更新链接地址: