I have a table T1, it contains a NAME value (not unique), and a date range (D1 and D2 which are dates) When NAME are the same, we make a union of the date ranges (e.g. B).
But as a result (X), we need to make intersection of all the date ranges
Edit: Table T1
NAME | D1 | D2
A | 20100101 | 20101211
B | 20100120 | 20100415
B | 20100510 | 20101230
C | 20100313 | 20100610
Result :
X | 20100313 | 20100415
X | 20100510 | 20100610
Visually, this will give the following :
NAME : date range
A : [-----------------------]-----
B : --[----]----------------------
B : ----------[---------------]---
C : -----[--------]---------------
Result :
X : -----[-]----------------------
X : ----------[---]---------------
Any idea how to get that using SQL / PL SQL ?
You can do this by swapping the ranges if necessary up front. Then, you can detect overlap if the second range start is: less than or equal to the first range end (if ranges are inclusive, containing both the start and end times); or. less than (if ranges are inclusive of start and exclusive of end).
Generally it's a good idea to post your 4-digit Oracle version and o/s information. Have a look at the Oracle Built-in Data Types in the documentation. You will find there that the "Valid date range from January 1, 4712 BC, to December 31, 9999 AD." in Oracle.
let's pick the big date SELECT ID, EMP_ID, [START DATE], MAX(END DATE) FROM (SELECT ID, EMP_ID, TEAM, [END DATE], MIN([START DATE]) [START DATE] FROM my_table GROUP BY ID, EMP_ID, END_DATE ) a GROUP BY ID, EMP_ID, [START DATE] -- Now we are done with similar end date and similar start date -- At this point I will write ...
You can use "classic comparators" (like >, >=, <, =...) to compare 2 dates. If you have date data types : don't convert them. if you have no choice, use something like: if to_char(d1,'YYYYMMDD') > to_char(d2,'YYYYMMDD') then ... else ...
here is a quick solution (may not be the most efficient):
SQL> CREATE TABLE myData AS
2 SELECT 'A' name, date'2010-01-01' d1, date'2010-12-11' d2 FROM DUAL
3 UNION ALL SELECT 'B', date'2010-01-20', date'2010-04-15' FROM DUAL
4 UNION ALL SELECT 'B', date'2010-05-10', date'2010-12-30' FROM DUAL
5 UNION ALL SELECT 'C', date'2010-03-13', date'2010-06-10' FROM DUAL;
Table created
SQL> WITH segments AS (
2 SELECT dat seg_low, lead(dat) over(ORDER BY dat) seg_high
3 FROM (SELECT d1 dat FROM myData
4 UNION
5 SELECT d2 dat FROM myData)
6 )
7 SELECT s.seg_low, s.seg_high
8 FROM segments s
9 JOIN myData m ON s.seg_high > m.d1
10 AND s.seg_low < m.d2
11 GROUP BY s.seg_low, s.seg_high
12 HAVING COUNT(DISTINCT NAME) = 3;
SEG_LOW SEG_HIGH
----------- -----------
13/03/2010 15/04/2010
10/05/2010 10/06/2010
I build all the possible successive date ranges and join this "calendar" with the sample data. This will list all ranges that have 3 values. You may need to merge the result if you add rows:
SQL> insert into mydata values ('B',date'2010-04-15',date'2010-04-16');
1 row inserted
SQL> WITH segments AS (
2 SELECT dat seg_low, lead(dat) over(ORDER BY dat) seg_high
3 FROM (SELECT d1 dat FROM myData
4 UNION
5 SELECT d2 dat FROM myData)
6 )
7 SELECT MIN(seg_low), MAX(seg_high)
8 FROM (SELECT seg_low, seg_high, SUM(gap) over(ORDER BY seg_low) grp
9 FROM (SELECT s.seg_low, s.seg_high,
10 CASE
11 WHEN s.seg_low
12 = lag(s.seg_high) over(ORDER BY s.seg_low)
13 THEN 0
14 ELSE 1
15 END gap
16 FROM segments s
17 JOIN myData m ON s.seg_high > m.d1
18 AND s.seg_low < m.d2
19 GROUP BY s.seg_low, s.seg_high
20 HAVING COUNT(DISTINCT NAME) = 3))
21 GROUP BY grp;
MIN(SEG_LOW) MAX(SEG_HIGH)
------------ -------------
13/03/2010 16/04/2010
10/05/2010 10/06/2010
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