多表关联同时更新多条不同的记录方法分享

以下为测试例子。
1.首先创建两张临时表并录入测试数据：

查询出此时的表数据为：

#temptest1                 #temptest2

2.现在要将#temptest2中的年龄更新到相应的#temptest1中的年龄。

其实就是让[表1]中ID为1的年龄改成19，同时ID为2的年龄改成20。

当然这里的要求是只用一句SQL，不能用循环。

结果如下：

实现方法如下：

Update t1 

Set t1 .age = t2.age

From  #temptest1 t1

Join #temptest2 t2

On  t1.id = t2.id

(补充)Sql Server 2008 Merge命令写法：

merge into #temptest1 t1
using(select age,id from #temptest2) t2
on t1.id = t2.id
when matched then
update set t1.age = t2.age

是不是挺有趣的Sql。

如何一次性更新多条不同值的记录
标题可能没说清楚，假设有这样两张表：

现有记录
testA：
ID ENG CHI
===============
1 a 一
2 b 二
3 c 三
testB:
ID ENG CHI ANY….
=================
1 d 四
2 e 五
3 f 六
我想把testB中的记录的ENG,CHI字段更新到testA中去，以ID来对应。

CODE:

SQL> set autot on
SQL> update ta set ta.b=(select tb.b from tb where ta.a=tb.a) where exists (select 1 from tb where ta.a=tb.a);
已更新4行。
已用时间: 00: 00: 00.01
执行计划
———————————————————-
Plan hash value: 1137212925
——————————————————————————–
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
——————————————————————————–
| 0 | UPDATE STATEMENT | | 5 | 165 | 20 (30)| 00:00:01 |
| 1 | UPDATE | TA | | | | |
|* 2 | HASH JOIN SEMI | | 5 | 165 | 5 (20)| 00:00:01 |
| 3 | TABLE ACCESS FULL | TA | 5 | 100 | 2 (0)| 00:00:01 |
| 4 | VIEW | VW_SQ_1 | 4 | 52 | 2 (0)| 00:00:01 |
| 5 | TABLE ACCESS FULL| TB | 4 | 52 | 2 (0)| 00:00:01 |
|* 6 | TABLE ACCESS FULL | TB | 1 | 26 | 2 (0)| 00:00:01 |
——————————————————————————–
Predicate Information (identified by operation id):
—————————————————
2 – access(“TA”.”A”=”ITEM_1″)
6 – filter(“TB”.”A”=:B1)
Note
—–
– dynamic sampling used for this statement (level=2)
统计信息
———————————————————-
0 recursive calls
4 db block gets
23 consistent gets
0 physical reads
1004 redo size
840 bytes sent via SQL*Net to client
856 bytes received via SQL*Net from client
3 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
4 rows processed
SQL> update ta set ta.b=(select tb.b from tb where ta.a=tb.a) where ta.a= (select tb.a from tb where ta.a=tb.a);
已更新4行。
已用时间: 00: 00: 00.00
执行计划
———————————————————-
Plan hash value: 3571861550
—————————————————————————-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
—————————————————————————-
| 0 | UPDATE STATEMENT | | 1 | 20 | 7 (15)| 00:00:01 |
| 1 | UPDATE | TA | | | | |
|* 2 | FILTER | | | | | |
| 3 | TABLE ACCESS FULL| TA | 5 | 100 | 2 (0)| 00:00:01 |
|* 4 | TABLE ACCESS FULL| TB | 1 | 13 | 2 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | TB | 1 | 26 | 2 (0)| 00:00:01 |
—————————————————————————-
Predicate Information (identified by operation id):
—————————————————
2 – filter(“TA”.”A”= (SELECT “TB”.”A” FROM “TB” “TB” WHERE
“TB”.”A”=:B1))
4 – filter(“TB”.”A”=:B1)
5 – filter(“TB”.”A”=:B1)
Note
—–
– dynamic sampling used for this statement (level=2)
统计信息
———————————————————-
11 recursive calls
1 db block gets
53 consistent gets
0 physical reads
588 redo size
840 bytes sent via SQL*Net to client
858 bytes received via SQL*Net from client
3 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
4 rows processed

如果 create unique index tb_a_uidx on tb(a);

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CODE:

SQL> update (select ta.b tab1 ,tb.b tbb from ta,tb where ta.a=tb.a) set tab1=tbb;
已更新4行。
已用时间: 00: 00: 00.01
执行计划
———————————————————-
Plan hash value: 1761655026
—————————————————————————-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
—————————————————————————-
| 0 | UPDATE STATEMENT | | 4 | 184 | 5 (20)| 00:00:01 |
| 1 | UPDATE | TA | | | | |
|* 2 | HASH JOIN | | 4 | 184 | 5 (20)| 00:00:01 |
| 3 | TABLE ACCESS FULL| TB | 4 | 104 | 2 (0)| 00:00:01 |
| 4 | TABLE ACCESS FULL| TA | 5 | 100 | 2 (0)| 00:00:01 |
—————————————————————————-
Predicate Information (identified by operation id):
—————————————————
2 – access(“TA”.”A”=”TB”.”A”)
Note
—–
– dynamic sampling used for this statement (level=2)
统计信息
———————————————————-
8 recursive calls
4 db block gets
17 consistent gets
0 physical reads
1004 redo size
840 bytes sent via SQL*Net to client
827 bytes received via SQL*Net from client
3 SQL*Net roundtrips to/from client
3 sorts (memory)
0 sorts (disk)
4 rows processed