我需要一个在 oracle 中执行此序列的 SINGLE 查询.
I need a SINGLE query that does this sequence in oracle.
select count(*) from table1
where request_time < timestamp'2012-05-19 12:00:00' and (end_time > timestamp'2012-05-19 12:00:00' or end_time=null);
select count(*) from table1
where request_time < timestamp'2012-05-19 13:00:00' and (end_time > timestamp'2012-05-19 13:00:00' or end_time=null);
select count(*) from table1
where request_time < timestamp'2012-05-19 14:00:00' and (end_time > timestamp'2012-05-19 14:00:00' or end_time=null);
select count(*) table1
where request_time < timestamp'2012-05-19 15:00:00' and (end_time > timestamp'2012-05-19 15:00:00' or end_time=null);
select count(*) from table1
where request_time < timestamp'2012-05-19 16:00:00' and (end_time > timestamp'2012-05-19 16:00:00' or end_time=null);
如您所见,小时正在一点一点增加.这是输出
As you see the hour is increasing one by one. here is the output
COUNT(*)
1085
<小时>
COUNT(*)
1233
<小时>
COUNT(*)
1407
<小时>
COUNT(*)
1322
<小时>
COUNT(*)
1237
<小时>
我写了一个查询,但它没有给我正确的答案!
I have written a query but it does not give me the right answer!
select col1, count(*) from
(select TO_CHAR(request_time, 'YYYY-MM-DD HH24') as col1 from table1
where request_time <= timestamp'2012-05-19 12:00:00' and (end_time >= timestamp'2012-05-19 12:00:00' or end_time=null))
group by col1 order by col1;
这个查询给了我一个结果集,它的 count(*) 的总和等于上面写的第一个查询!结果如下:
this query gives me a result set that sum of it's count(*) is equal to the first query written above! here is the result:
COL1 COUNT(*)
------------- ----------------------
2012-05-19 07 22
2012-05-19 08 141
2012-05-19 09 322
2012-05-19 10 318
2012-05-19 11 282
注意 trunc
表达式与日期值的用法.如果不在 sql*plus 中运行查询,则可以省略 alter session
.
Note the usage of trunc
expression with date values. You can omit the alter session
if you are not running the query in sql*plus.
SQL> alter session set nls_date_format='yyyy-mm-dd hh24:mi:ss';
Session altered.
SQL> SELECT
trunc(created,'HH'),
count(*)
FROM
test_table
WHERE
created > trunc(SYSDATE -2)
group by trunc(created,'HH');
TRUNC(CREATED,'HH') COUNT(*)
------------------- ----------
2012-05-21 09:00:00 748
2012-05-21 16:00:00 24
2012-05-21 17:00:00 12
2012-05-21 22:00:00 737
2012-05-21 23:00:00 182
2012-05-22 20:00:00 16
2012-05-22 21:00:00 293
2012-05-22 22:00:00 610
8 ROWS selected.
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