PL/SQL Split, separate a date into new dates according to black out dates!
I have lets say a \"travel date\" and black out dates. I will split the travel date into pieces according to the black out dates.
Note: Travel Date can be between
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This returns a discrete list of all dates that exist in the Travel Dates range but not in the Blackout Dates list, and then combines them using Oracle - Convert value from rows into ranges:
WITH traveldate AS (SELECT TO_DATE('2011 01 04','YYYY MM DD') AS start_date ,TO_DATE('2011 12 11','YYYY MM DD') AS end_date FROM DUAL) ,blackout AS (SELECT TO_DATE('2010 11 01','YYYY MM DD') AS start_date ,TO_DATE('2011 02 11','YYYY MM DD') AS end_date FROM DUAL UNION ALL SELECT TO_DATE('2011 01 20','YYYY MM DD') AS start_date ,TO_DATE('2011 02 15','YYYY MM DD') AS end_date FROM DUAL UNION ALL SELECT TO_DATE('2011 03 13','YYYY MM DD') AS start_date ,TO_DATE('2011 04 10','YYYY MM DD') AS end_date FROM DUAL UNION ALL SELECT TO_DATE('2011 03 20','YYYY MM DD') AS start_date ,TO_DATE('2011 06 29','YYYY MM DD') AS end_date FROM DUAL) ,days AS (SELECT TO_DATE('2010 01 01','YYYY MM DD') + ROWNUM d FROM DUAL CONNECT BY LEVEL <= 1000) ,base AS (SELECT d AS n FROM days, traveldate WHERE d >= traveldate.start_date AND d <= traveldate.end_date MINUS SELECT d AS n FROM days, blackout WHERE d >= blackout.start_date AND d <= blackout.end_date ) ,lagged AS ( SELECT n, LAG(n) OVER (ORDER BY n) lag_n FROM base ) , groups AS ( SELECT n, row_number() OVER (ORDER BY n) groupnum FROM lagged WHERE lag_n IS NULL OR lag_n < n-1 ) , grouped AS ( SELECT n, (SELECT MAX(groupnum) FROM groups WHERE groups.n <= base.n ) groupnum FROM base ) SELECT groupnum, MIN(n), MAX(n) FROM grouped GROUP BY groupnum ORDER BY groupnum;Result:
GROUPNUM MIN(N) MAX(N) 1 16/02/2011 12/03/2011 2 30/06/2011 11/12/2011讨论(0) -
Your tables:
SQL> create table travel (start_date,end_date) 2 as 3 select date '2011-01-04', date '2011-12-11' from dual 4 / Table created. SQL> create table black_out_dates (bo,start_date,end_date) 2 as 3 select 'A', date '2010-11-01', date '2011-02-11' from dual union all 4 select 'B', date '2011-01-20', date '2011-02-15' from dual union all 5 select 'C', date '2011-03-13', date '2011-04-10' from dual union all 6 select 'D', date '2011-03-20', date '2011-06-29' from dual 7 / Table created.And the query, which takes into account completely overlapping black out periods:
SQL> select 'X' || to_char(row_number() over (order by new_start_date)) new_travel 2 , new_start_date 3 , new_end_date 4 from ( select end_date + 1 new_start_date 5 , lead(start_date - 1, 1, t_end_date) over (order by start_date) new_end_date 6 from ( select start_date 7 , end_date 8 , t_end_date 9 , row_number() over (order by start_date) rn_start_date 10 , row_number() over (order by end_date) rn_end_date 11 from ( select bo.start_date 12 , bo.end_date 13 , t.end_date t_end_date 14 from black_out_dates bo 15 , travel t 16 where t.start_date <= bo.end_date 17 and t.end_date >= bo.start_date 18 union all 19 select start_date - 1 20 , start_date - 1 21 , null 22 from travel 23 ) 24 ) 25 where rn_start_date <= rn_end_date 26 ) 27 where new_start_date <= new_end_date 28 order by new_start_date 29 / NEW_TRAVEL NEW_START_DATE NEW_END_DATE ---------- ------------------- ------------------- X1 16-02-2011 00:00:00 12-03-2011 00:00:00 X2 30-06-2011 00:00:00 11-12-2011 00:00:00 2 rows selected.If your black_out_dates table contains N rows, then there at most N+1 gaps. The query makes up one dummy black out date period at [2011-01-03,2011-01-03], and then uses the analytic function LEAD to determine where the next black out date starts. Completely overlapping periods are removed by the ROW_NUMBER analytic functions, because they mess up the gap periods.
EDIT 14-3-2011
With these tables:
SQL> create table travel (start_date,end_date) 2 as 3 select date '2001-01-04', date '2013-12-11' from dual 4 / Table created. SQL> create table black_out_dates (bo,start_date,end_date) 2 as 3 select 'A', date '2010-11-01', date '2011-02-11' from dual union all 4 select 'B', date '2011-01-20', date '2011-02-15' from dual union all 5 select 'C', date '2011-03-13', date '2011-04-10' from dual union all 6 select 'D', date '2011-03-20', date '2011-06-29' from dual 7 / Table created.My previous query still did not handle overlapping periods correctly. So here is a revised version, conveniently stored in view v:
SQL> create view v 2 as 3 with t1 as 4 ( select bo.start_date 5 , bo.end_date 6 , t.end_date t_end_date 7 from black_out_dates bo 8 , travel t 9 where bo.start_date <= t.end_date 10 and bo.end_date >= t.start_date 11 union all 12 select start_date - 1 13 , start_date - 1 14 , end_date 15 from travel 16 ) 17 , t2 as 18 ( select t1.* 19 , nvl 20 ( max(end_date) 21 over 22 ( order by start_date,end_date desc 23 rows between unbounded preceding and 1 preceding 24 ) 25 , to_date('1','j') 26 ) max_date 27 from t1 28 ) 29 , t3 as 30 ( select start_date 31 , end_date 32 , t_end_date 33 , sum( case when start_date > max_date then 1 else 0 end ) 34 over 35 ( order by start_date, end_date desc ) grp 36 from t2 37 ) 38 , t4 as 39 ( select max(end_date) + 1 new_start_date 40 , lead(min(start_date) - 1, 1, t_end_date) over (order by min(start_date)) new_end_date 41 from t3 42 group by t_end_date 43 , grp 44 ) 45 select new_start_date 46 , new_end_date 47 from t4 48 where new_start_date <= new_end_date 49 / View created.And the test results:
SQL> set feedback off SQL> remark Test 1 SQL> select * from v 2 / NEW_START_DATE NEW_END_DATE ------------------- ------------------- 04-01-2001 00:00:00 31-10-2010 00:00:00 16-02-2011 00:00:00 12-03-2011 00:00:00 30-06-2011 00:00:00 11-12-2013 00:00:00 SQL> remark Test 2 SQL> delete travel 2 / SQL> delete black_out_dates 2 / SQL> INSERT INTO TRAVEL( START_DATE, END_DATE ) VALUES ( DATE '2011-01-01', DATE '2011-12-31' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'A', DATE '2011-02-02', DATE '2011-05-06' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'B', DATE '2011-03-03', DATE '2011-03-05' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'C', DATE '2011-07-07', DATE '2011-07-09' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'D', DATE '2011-07-08', DATE '2011-07-20' ); SQL> select * from v 2 / NEW_START_DATE NEW_END_DATE ------------------- ------------------- 01-01-2011 00:00:00 01-02-2011 00:00:00 07-05-2011 00:00:00 06-07-2011 00:00:00 21-07-2011 00:00:00 31-12-2011 00:00:00 SQL> remark Test 3 SQL> delete travel 2 / SQL> delete black_out_dates 2 / SQL> INSERT INTO TRAVEL( START_DATE, END_DATE ) VALUES ( DATE '2011-04-02', DATE '2011-10-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'A', DATE '2011-01-01', DATE '2011-05-03' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'B', DATE '2011-06-04', DATE '2011-06-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'C', DATE '2011-06-06', DATE '2011-06-08' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'D', DATE '2011-08-08', DATE '2011-12-30' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'E', DATE '2011-08-08', DATE '2011-12-30' ); SQL> select * from v 2 / NEW_START_DATE NEW_END_DATE ------------------- ------------------- 04-05-2011 00:00:00 03-06-2011 00:00:00 21-06-2011 00:00:00 07-08-2011 00:00:00 SQL> remark Test 4 SQL> delete travel 2 / SQL> delete black_out_dates 2 / SQL> INSERT INTO TRAVEL( START_DATE, END_DATE ) VALUES ( DATE '2011-02-10', DATE '2011-05-15' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'A', DATE '2011-02-02', DATE '2011-02-15' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'B', DATE '2011-02-10', DATE '2011-02-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'C', DATE '2011-04-10', DATE '2011-04-25' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'D', DATE '2011-04-15', DATE '2011-04-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'E', DATE '2011-05-10', DATE '2011-05-20' ); SQL> select * from v 2 / NEW_START_DATE NEW_END_DATE ------------------- ------------------- 21-02-2011 00:00:00 09-04-2011 00:00:00 26-04-2011 00:00:00 09-05-2011 00:00:00 SQL> remark Test 5 SQL> delete travel 2 / SQL> delete black_out_dates 2 / SQL> INSERT INTO TRAVEL VALUES ( DATE '2011-02-10', DATE '2011-05-17' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'A', DATE '2011-02-05', DATE '2011-02-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'B', DATE '2011-02-07', DATE '2011-02-09' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'C', DATE '2011-05-05', DATE '2011-05-20' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'D', DATE '2011-05-07', DATE '2011-05-15' ); SQL> INSERT INTO BLACK_OUT_DATES( BO, START_DATE, END_DATE ) VALUES ( 'E', DATE '2011-05-09', DATE '2011-05-12' ); SQL> select * from v 2 / NEW_START_DATE NEW_END_DATE ------------------- ------------------- 21-02-2011 00:00:00 04-05-2011 00:00:00 SQL> remark Test 6 SQL> delete travel 2 / SQL> delete black_out_dates 2 / SQL> INSERT INTO TRAVEL VALUES (DATE '2011-02-10', DATE '2011-09-20' ); SQL> INSERT INTO BLACK_OUT_DATES VALUES ('A', DATE '2011-01-05', DATE '2011-10-10' ); SQL> select * from v 2 /Regards,
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