您的业务规则表明 DATE 和 TYPE 匹配。所以你的代码有两个问题:
- USING 子句需要选择确定匹配所需的所有条件。
- ON 子句需要测试确定匹配所需的所有标准。
此外,如果您不需要更新现有记录,则可以省略 WHEN MATCHED 分支。所以你的 MERGE 语句应该是这样的:
merge into task
using (
select date '2017-05-08' as dt, 'BATTLE' as typ from dual union all
select date '2017-05-08' as dt, 'JUGGLE' as typ from dual union all
select date '2017-05-08' as dt, 'PLOT' as typ from dual ) q
on (task.task_date = q.dt
and task.task_type = q.typ)
when not matched then
insert values (task_id_seq.nextval, q.dt, q.typ)
/
演示。鉴于这个起点...
SQL> select * from task;
TASK_ID TASK_DATE TASK_TYPE
---------- ---------- ----------
1 2017-05-06 CLEAN
2 2017-05-06 BATTLE
3 2017-05-06 JUGGLE
4 2017-05-07 JUGGLE
5 2017-05-07 CLEAN
6 2017-05-07 NAP
7 2017-05-08 BATTLE
7 rows selected.
SQL>
... 上面的 MERGE 应该插入两行(数据源中的一行与现有行匹配)。
SQL> merge into task
2 using (
3 select date '2017-05-08' as dt, 'BATTLE' as typ from dual union all
4 select date '2017-05-08' as dt, 'JUGGLE' as typ from dual union all
5 select date '2017-05-08' as dt, 'PLOT' as typ from dual ) q
6 on (task.task_date = q.dt
7 and task.task_type = q.typ)
8 when not matched then
9 insert values (task_id_seq.nextval, q.dt, q.typ)
10 /
2 rows merged.
SQL> select * from task
2 /
TASK_ID TASK_DATE TASK_TYPE
---------- ---------- ----------
1 2017-05-06 CLEAN
2 2017-05-06 BATTLE
3 2017-05-06 JUGGLE
4 2017-05-07 JUGGLE
5 2017-05-07 CLEAN
6 2017-05-07 NAP
7 2017-05-08 BATTLE
9 2017-05-08 JUGGLE
10 2017-05-08 PLOT
9 rows selected.
SQL>
数据来源并不完全清楚。所以在上面的例子中,我使用 DUAL 生成了一组任务。如果您想要从昨天的集合中为今天创建一组新的任务,则 USING 子句将如下所示:
merge into task
using (
select trunc(sysdate) as dt, task_type as typ
from task
where task_date = trunc(sysdate) - 1 ) q
on (task.task_date = q.dt
and task.task_type = q.typ)
when not matched then
insert values (task_id_seq.nextval, q.dt, q.typ)
/
使用与此版本之前相同的起始数据插入三行:
SQL> select * from task;
TASK_ID TASK_DATE TASK_TYPE
---------- ---------- ----------
1 2017-05-06 CLEAN
2 2017-05-06 BATTLE
3 2017-05-06 JUGGLE
4 2017-05-07 JUGGLE
5 2017-05-07 CLEAN
6 2017-05-07 NAP
7 2017-05-08 BATTLE
11 2017-05-08 CLEAN
12 2017-05-08 JUGGLE
13 2017-05-08 NAP
10 rows selected.
SQL>