Reputation: 127
I have following table and data:
CREATE TABLE customer_wer(
id_customer NUMBER,
name VARCHAR2(10),
surname VARCHAR2(20),
date_from DATE,
date_to DATE NOT NULL,
CONSTRAINT customer_wer_pk PRIMARY KEY (id_customer, data_from));
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-JAN-00', '31-MAR-00');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-APR-00', '30-JUN-00');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '15-JUN-00', '30-SEP-00');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-OCT-00', '31-DEC-00');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-JAN-01', '31-MAR-01');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-APR-01', '30-JUN-01');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-JUL-01', '5-OCT-01');
INSERT INTO customer_wer VALUES (4, 'Karolina', 'Komuda', '01-OCT-01', '31-DEC-01');
I need a SELECT
query to find the records with overlapping dates. It means that in the example above, I should have four records in result
number
2
3
7
8
Thank you in advance. I am using Oracle DB.
Upvotes: 3
Views: 19567
Reputation: 2212
In my situation with much data in a table better performance was reached in a such way:
select *
from (
select id_customer,
name,
surname,
date_from,
date_to,
lead(id_customer) over (partition by id_customer order by date_from) id_customer1,
lead(name) over (partition by id_customer order by date_from) name1,
lead(surname) over (partition by id_customer order by date_from) surname1,
lead(date_from) over (partition by id_customer order by date_from) date_from1,
lead(date_to) over (partition by id_customer order by date_from) date_to1
from customer_wer)
where date_from1 <= date_to
Upvotes: 0
Reputation: 2037
Similar to the answer by @Ben ... but check for overlapping == days as well with a check on id to ensure it is unique.
select * from seasons t1
join seasons t2 on (t1.season_open >= t2.season_open and t1.season_open <= t2.season_close and t1.id != t2.id)
or (t1.season_close >= t2.season_open and t1.season_close <= t2.season_close and t1.id != t2.id)
or (t1.season_close >= t2.season_close and t1.season_open <= t2.season_open and t1.id != t2.id)
Upvotes: 0
Reputation: 21
If each beginning date is less than or equal to the other record's ending date, then it will be within the range.
If starting date 1 is less than ending date 2 AND starting date 2 is less than ending date 1.
SELECT *
FROM t t1
JOIN t t2 ON (t1.datefrom <= t2.dateto)
AND (t2.datefrom <= t1.dateto)
Upvotes: 2
Reputation: 71
the earlier answer does not account for situations where t2 is entirely within t1
select * from t t1
join t t2 on (t1.datefrom > t2.datefrom and t1.datefrom < t2.dateto )
or (t1.dateto > t2.datefrom and t1.dateto < t2.dateto )
or (t1.dateto > t2.dateto and t1.datefrom < t2.datefrom)
Upvotes: 7
Reputation: 35780
Try this:
select * from t t1
join t t2 on (t1.datefrom > t2.datefrom and t1.datefrom < t2.dateto)
or (t1.dateto > t2.datefrom and t1.dateto < t2.dateto)
Thank You for this example. After modification it is working:
SELECT *
FROM customer_wer k
JOIN customer_wer w
ON k.id_customer = w.id_customer
WHERE (k.date_from > w.date_to AND k.date_from < w.date_to)
OR (k.date_to > w.date_from AND k.date_to < w.date_to);
Upvotes: 0