Group records as well as frequent mailers

Hi people,

I'm looking at a scenario where I would like to group the dates together (for the most part, we assume they are similar and close enough dates and so probably on the same date) when they are close together. The idea is to eliminate the possible duplicates.

Create table scripts and INSERT into the table:

create table orders_tb (order_id varchar2(4), order_date date);

insert into orders_tb (order_id,order_date) values ('1001',to_date('31-DEC-13','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1001',to_date('02-JAN-14','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1001',to_date('06-JAN-14','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1001',to_date('12-JAN-14','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1002',to_date('02-FEB-14','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1002',to_date('02-MAR-14','DD-MON-RR'));
insert into orders_tb (order_id,order_date) values ('1002',to_date('02-MAR-14','DD-MON-RR'));

If I ran the following SELECT statement, I would get 6 entries:

select distinct order_id, order_date from orders_tb order by order_id, order_date;

However, for the most part, I would like to Order ID 1001 subject only two records. The rule for including dates, that is all the dates to be within 10 days of the date of MIN.

1001 31-DEC-2013
1001 12-JAN-2014

Regarding the command ID 1002, he will tell you that the dates are very far.

1002 02-FEB-2014
1002 02-MAR-2014

Any help would be greatly appreciated.

Thank you!

Hello

You want to always 2 rows for each order_id exit or you want sometimes 1 or 3 or more?

You can test it with a little more data sample that test situations like these.  For example, in addition to the sample data that you posted:

insert into orders_tb (order_id, order_date) values ('1001 ', to_date('13-JAN-2014','DD-MON-YYYY'));

insert into orders_tb (order_id, order_date) values ('1001 ', to_date('19-JAN-2014','DD-MON-YYYY'));

insert into orders_tb (order_id, order_date) values ('1001 ', to_date('25-JAN-2014','DD-MON-YYYY'));

insert into orders_tb (order_id, order_date) values ('1003 ', to_date('01-JAN-2014','DD-MON-YYYY'));

insert into orders_tb (order_id, order_date) values ('1003 ', to_date('10-JAN-2014','DD-MON-YYYY'));

Here's one way:

WITH got_next_date AS

(

SELECT DISTINCT

order_id, order_date

MIN (order_date) over (PARTITION BY order_id) AS start_date

MIN (order_date) over (PARTITION BY order_id

ORDER BY order_date

RANGE BETWEEN 10.000001 MORE

AND UNBOUNDED FOLLOWING

), Next_date

Of orders_tb

)

SELECT order_id, order_date

OF got_next_date

START WITH order_date = start_date

CONNECT BY order_date = next_date PRIOR

AND order_id = order_id PRIOR

;

Output (including the sample data, I added):

ORDER_ID, ORDER_DATE

-------- -----------

1001 December 31, 2013

1001 12 January 2014

1001 January 25, 2014

1002 February 2, 2014

1002 2 March 2014

1003 1 January 2014

Tags: Database

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