Oracle PL/SQL/Data Type/TO Date
Содержание
- 1 Converting number representation to DATE format
- 2 Converting spelled date to DATE format
- 3 MONTHS_BETWEEN with to_date function
- 4 TO_CHAR(TO_DATE("04-JUL-15", "DD-MON-YY"), "DD-MON-YYYY")
- 5 TO_DATE("04-JUL-15", "DD-MON-RR"): Uses the RR format when interpreting the years 15 and 75
- 6 Use to_date function with between ... and
Converting number representation to DATE format
SQL>
SQL> -- Converting number representation to DATE format.
SQL> SELECT TO_DATE("061167","MMDDYY") "Birthday" from DUAL;
Birthday
---------
11-JUN-67
SQL>
Converting spelled date to DATE format
SQL>
SQL> -- Converting spelled date to DATE format.
SQL> SELECT TO_DATE("January 15","MONTH DD") "Sample" from DUAL;
Sample
---------
15-JAN-06
SQL>
MONTHS_BETWEEN with to_date function
SQL>
SQL> SELECT MONTHS_BETWEEN(TO_DATE("22SEP2006","ddMONyyyy"),
2 TO_DATE("13OCT2001","ddMONyyyy")) "Months difference"
3 FROM dual;
Months difference
-----------------
59.2903226
SQL>
SQL>
SQL>
TO_CHAR(TO_DATE("04-JUL-15", "DD-MON-YY"), "DD-MON-YYYY")
SQL>
SQL> SELECT TO_CHAR(TO_DATE("04-JUL-15", "DD-MON-YY"), "DD-MON-YYYY"),
2 TO_CHAR(TO_DATE("04-JUL-75", "DD-MON-YY"), "DD-MON-YYYY")
3 FROM dual;
TO_CHAR(TO_ TO_CHAR(TO_
----------- -----------
04-JUL-2015 04-JUL-2075
SQL>
TO_DATE("04-JUL-15", "DD-MON-RR"): Uses the RR format when interpreting the years 15 and 75
SQL>
SQL> --Uses the RR format when interpreting the years 15 and 75
SQL>
SQL> SELECT
2 TO_CHAR(TO_DATE("04-JUL-15", "DD-MON-RR"), "DD-MON-YYYY"),
3 TO_CHAR(TO_DATE("04-JUL-75", "DD-MON-RR"), "DD-MON-YYYY")
4 FROM dual;
TO_CHAR(TO_ TO_CHAR(TO_
----------- -----------
04-JUL-2015 04-JUL-1975
SQL>
Use to_date function with between ... and
SQL> CREATE TABLE sales(
2 product_id NUMBER(6),
3 cid NUMBER,
4 time_id DATE,
5 channel_id CHAR(1),
6 promo_id NUMBER(6),
7 sold NUMBER(3),
8 amount NUMBER(10,2),
9 cost NUMBER(10,2)
10 );
Table created.
SQL>
SQL> select sum(amount)
2 from sales
3 where time_id between to_date("2006-02-01", "YYYY-MM-DD") and to_date("2006-02-28", "YYYY-MM-DD");
SUM(AMOUNT)
-----------
1 row selected.
SQL>
SQL> drop table sales;
Table dropped.