我正在学习SQL子查询。这是我在书中使用的子查询：
@implementation DetectTouchWindow
- (void)sendEvent:(UIEvent *)event {
UITouch *touch = [[event allTouches] anyObject];
switch ([touch phase]) {
case UITouchPhaseBegan:
NSLog(@"Touch Began");
break;
case UITouchPhaseMoved:
NSLog(@"Touch Move");
break;
case UITouchPhaseEnded:
NSLog(@"Touch End");
break;
case UITouchPhaseCancelled:
NSLog(@"Touch Cancelled");
break;
default:
break;
}
[super sendEvent:event];
}
@end
结果：
SELECT account_id, product_cd, cust_id
FROM account
WHERE open_branch_id = (
SELECT branch_id
FROM branch
WHERE name = 'Woburn Branch'
) AND open_emp_id IN (
SELECT emp_id
FROM employee
WHERE title = 'Teller' OR title = 'Head Teller'
);
我已经查看了这个查询，试图解释它并理解它以及它的子句背后的推理但是，我无法理解上一个+------------+------------+---------+
| account_id | product_cd | cust_id |
+------------+------------+---------+
| 1 | CHK | 1 |
| 2 | SAV | 1 |
| 3 | CD | 1 |
| 4 | CHK | 2 |
| 5 | SAV | 2 |
| 17 | CD | 7 |
| 27 | BUS | 11 |
+------------+------------+---------+
子句AND的原因...... < / p>
我注意到只有
AND open_emp_id IN您获得与上述相同的结果。任何人都可以向我解释上一个SELECT account_id, product_cd, cust_id
FROM account
WHERE open_branch_id = (
SELECT branch_id
FROM branch
WHERE name = 'Woburn Branch'
)
条款背后的原因以及如何省略它会影响最终结果吗？
子查询中使用的表：
帐户表
AND open_emp_id IN分支表：
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
| account_id | product_cd | cust_id | open_date | close_date | last_activity_date | status | open_branch_id | open_emp_id | avail_balance | pending_balance |
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
| 1 | CHK | 1 | 2000-01-15 | NULL | 2005-01-04 | ACTIVE | 2 | 10 | 1057.75 | 1057.75 |
| 2 | SAV | 1 | 2000-01-15 | NULL | 2004-12-19 | ACTIVE | 2 | 10 | 500.00 | 500.00 |
| 3 | CD | 1 | 2004-06-30 | NULL | 2004-06-30 | ACTIVE | 2 | 10 | 3000.00 | 3000.00 |
| 4 | CHK | 2 | 2001-03-12 | NULL | 2004-12-27 | ACTIVE | 2 | 10 | 2258.02 | 2258.02 |
| 5 | SAV | 2 | 2001-03-12 | NULL | 2004-12-11 | ACTIVE | 2 | 10 | 200.00 | 200.00 |
| 7 | CHK | 3 | 2002-11-23 | NULL | 2004-11-30 | ACTIVE | 3 | 13 | 1057.75 | 1057.75 |
| 8 | MM | 3 | 2002-12-15 | NULL | 2004-12-05 | ACTIVE | 3 | 13 | 2212.50 | 2212.50 |
| 10 | CHK | 4 | 2003-09-12 | NULL | 2005-01-03 | ACTIVE | 1 | 1 | 534.12 | 534.12 |
| 11 | SAV | 4 | 2000-01-15 | NULL | 2004-10-24 | ACTIVE | 1 | 1 | 767.77 | 767.77 |
| 12 | MM | 4 | 2004-09-30 | NULL | 2004-11-11 | ACTIVE | 1 | 1 | 5487.09 | 5487.09 |
| 13 | CHK | 5 | 2004-01-27 | NULL | 2005-01-05 | ACTIVE | 4 | 16 | 2237.97 | 2897.97 |
| 14 | CHK | 6 | 2002-08-24 | NULL | 2004-11-29 | ACTIVE | 1 | 1 | 122.37 | 122.37 |
| 15 | CD | 6 | 2004-12-28 | NULL | 2004-12-28 | ACTIVE | 1 | 1 | 10000.00 | 10000.00 |
| 17 | CD | 7 | 2004-01-12 | NULL | 2004-01-12 | ACTIVE | 2 | 10 | 5000.00 | 5000.00 |
| 18 | CHK | 8 | 2001-05-23 | NULL | 2005-01-03 | ACTIVE | 4 | 16 | 3487.19 | 3487.19 |
| 19 | SAV | 8 | 2001-05-23 | NULL | 2004-10-12 | ACTIVE | 4 | 16 | 387.99 | 387.99 |
| 21 | CHK | 9 | 2003-07-30 | NULL | 2004-12-15 | ACTIVE | 1 | 1 | 125.67 | 125.67 |
| 22 | MM | 9 | 2004-10-28 | NULL | 2004-10-28 | ACTIVE | 1 | 1 | 9345.55 | 9845.55 |
| 23 | CD | 9 | 2004-06-30 | NULL | 2004-06-30 | ACTIVE | 1 | 1 | 1500.00 | 1500.00 |
| 24 | CHK | 10 | 2002-09-30 | NULL | 2004-12-15 | ACTIVE | 4 | 16 | 23575.12 | 23575.12 |
| 25 | BUS | 10 | 2002-10-01 | NULL | 2004-08-28 | ACTIVE | 4 | 16 | 0.00 | 0.00 |
| 27 | BUS | 11 | 2004-03-22 | NULL | 2004-11-14 | ACTIVE | 2 | 10 | 9345.55 | 9345.55 |
| 28 | CHK | 12 | 2003-07-30 | NULL | 2004-12-15 | ACTIVE | 4 | 16 | 38552.05 | 38552.05 |
| 29 | SBL | 13 | 2004-02-22 | NULL | 2004-12-17 | ACTIVE | 3 | 13 | 50000.00 | 50000.00 |
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
员工表：
+-----------+---------------+----------------------+---------+-------+-------+
| branch_id | name | address | city | state | zip |
+-----------+---------------+----------------------+---------+-------+-------+
| 1 | Headquarters | 3882 Main St. | Waltham | MA | 02451 |
| 2 | Woburn Branch | 422 Maple St. | Woburn | MA | 01801 |
| 3 | Quincy Branch | 125 Presidential Way | Quincy | MA | 02169 |
| 4 | So. NH Branch | 378 Maynard Ln. | Salem | NH | 03079 |
+-----------+---------------+----------------------+---------+-------+-------+
答案 0 :(得分：2)
AND open_emp_id IN子句仅选择标题为＆＃39; Teller＆＃39;的员工ID。或者＆＃39; Head Teller＆＃39;。在你的情况下，结果并没有什么不同，因为你正在寻找名为＆＃39; Woburn Branch＆＃39;的分支机构，这只是巧合，所有的员工都有标题＆＃39; Teller＆＃39;或者＆＃39; Head Teller＆＃39;仅
| 10 | Paula | Roberts | 2006-07-27 | NULL | 4 | 1 | Head Teller | 2 |
| 11 | Thomas | Ziegler | 2004-10-23 | NULL | 10 | 1 | Teller | 2 |
| 12 | Samantha | Jameson | 2007-01-08 | NULL | 10 | 1 | Teller | 2 |
将分支机构名称更改为＆＃39; Headquarters＆＃39;在第一个查询中，您将看到子查询产生的差异。总部的任何员工都在＆＃39;谁没有头衔＆＃39; Teller＆＃39;或者＆＃39; Head Teller＆＃39;将被排除在外。
答案 1 :(得分：1)
最后一个AND将选择标准缩小为仅包括由出纳员或总经理打开的帐户。如果贷款经理或运营经理已经开立了该帐户，则会将其排除在外。