與數據庫級NLS_CALENDAR相比，沒有其他方法可以在不同的日歷中定義間隔。通過使用虛擬列劃分每個日期落入的(波斯)月份的數字表示，可以得到相同的效果：
create table test_temp_times (
id number(18) not null,
xdate date not null,
str varchar2(20),
ydate as (to_number(to_char(xdate, 'YYYYMM', 'nls_calendar=persian')))
)
partition by range(ydate)
interval(1)
(partition p0 values less than (139201))
enable row movement;
如果其中填充了示例開始日期后一年的每一天的記錄：
insert into test_temp_times (id, xdate, str)
select level, date '2013-03-20' + level, null
from dual
connect by level < 366;
創建的分區如下所示：
select table_name, partition_name, high_value
from user_tab_partitions where table_name = 'TEST_TEMP_TIMES';
TABLE_NAME PARTITION_NAME HIGH_VALUE
------------------------------ ------------------------------ ----------
TEST_TEMP_TIMES P0 139201
TEST_TEMP_TIMES SYS_P479 139202
TEST_TEMP_TIMES SYS_P480 139203
TEST_TEMP_TIMES SYS_P481 139204
TEST_TEMP_TIMES SYS_P482 139205
TEST_TEMP_TIMES SYS_P483 139206
TEST_TEMP_TIMES SYS_P484 139207
TEST_TEMP_TIMES SYS_P485 139208
TEST_TEMP_TIMES SYS_P486 139209
TEST_TEMP_TIMES SYS_P487 139210
TEST_TEMP_TIMES SYS_P488 139211
TEST_TEMP_TIMES SYS_P489 139212
TEST_TEMP_TIMES SYS_P490 139213
13 rows selected
您還可以檢查月份界限所屬的分區：
select utp.partition_name, min(ttt.xdate), max(ttt.xdate)
from test_temp_times ttt
join user_objects uo on uo.object_id = dbms_rowid.rowid_object(ttt.rowid)
join user_tab_partitions utp on utp.table_name = uo.object_name
and utp.partition_name = uo.subobject_name
group by utp.partition_name
order by partition_name;
PARTITION_NAME MIN(TTT.XDATE) MAX(TTT.XDATE)
------------------------------ -------------- --------------
P0 2013-03-20 2013-03-20
SYS_P479 2013-03-21 2013-04-20
SYS_P480 2013-04-21 2013-05-21
SYS_P481 2013-05-22 2013-06-21
SYS_P482 2013-06-22 2013-07-22
SYS_P483 2013-07-23 2013-08-22
SYS_P484 2013-08-23 2013-09-22
SYS_P485 2013-09-23 2013-10-22
SYS_P486 2013-10-23 2013-11-21
SYS_P487 2013-11-22 2013-12-21
SYS_P488 2013-12-22 2014-01-20
SYS_P489 2014-01-21 2014-02-19
SYS_P490 2014-02-20 2014-03-19
至少，我認為這就是您要實現的目標。不幸的是，由于SQL Fiddle沒有分區選項，因此無法添加演示，但這已針對11.2.0.3。進行了測試。
當然，您必須使其使用分區進行查詢...如果我只是這樣做的話：
select * from test_temp_times
where xdate = date '2013-11-01';
它找到包含計劃的行：
-----------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
-------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 47 | 164 (0)| 00:00:02 | | |
| 1 | PARTITION RANGE ALL| | 1 | 47 | 164 (0)| 00:00:02 | 1 |1048575|
|* 2 | TABLE ACCESS FULL | TEST_TEMP_TIMES | 1 | 47 | 164 (0)| 00:00:02 | 1 |1048575|
-------------------------------------------------------------------------------------------------------
如果我將虛擬列明確添加到查詢中：
select * from test_temp_times
where xdate = date '2013-11-01'
and ydate = to_number(to_char(date '2013-11-01', 'YYYYMM', 'nls_calendar=persian'));
然后，它知道要查詢哪個分區：
----------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
----------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 47 | 14 (0)| 00:00:01 | | |
| 1 | PARTITION RANGE SINGLE| | 1 | 47 | 14 (0)| 00:00:01 | 9 | 9 |
|* 2 | TABLE ACCESS FULL | TEST_TEMP_TIMES | 1 | 47 | 14 (0)| 00:00:01 | 9 | 9 |
----------------------------------------------------------------------------------------------------------
Clearly I haven't created any indexes yet. If you are looking for a whole month's worth of data, you would only need to query on a single ydate value, and ignore xdate; but presumably you'd need a mix at least some of the time.
的區別)
