I have a select statement with more than 10 columns.I have to repeat the rows wherever the data is missing based on the date. The rows which are to be generated should have data from the preceding rows sorted by date ascending. The date range to be considered is based on grouping of id.
The date is actually a range from 15th March to 16th April,but for sample I have taken only limited rows.
For example the data is as shown below.
ID Date Type Code Location
==== ====== === ==== ====
1 15-Mar TG RET X1
1 17-Mar GG CAN S2
1 20-Mar DTR ISS D2
2 14-Apr YT RR F2
2 16-Apr F FC F1
Excepted output:
ID Date Type Code Location
=== ==== ==== ==== ======
1 15-Mar TG RET X1
*1 16-Mar TG RET X1*
1 17-Mar GG CAN S2
*1 18-Mar GG CAN S2*
*1 19-Mar GG CAN S2*
1 20-Mar DTR ISS D2
2 14-Apr YT RR F2
*2 15-Apr YT RR F2*
2 16-Apr F FC F1
Here's a working example of a possible way to achieve your desired output. I'm utilizing Oracle's LAST_VALUE analytic function with the IGNORE NULLS option and ORDER BY clause.
Test data:
CREATE TABLE so123 (
id NUMBER,
d DATE,
type VARCHAR2(10),
code VARCHAR2(10),
location VARCHAR2(10)
);
INSERT INTO so123 VALUES (1, DATE '2015-05-15', 'TG', 'RET', 'X1');
INSERT INTO so123 VALUES (1, DATE '2015-05-17', 'GG', 'CAN', 'S2');
INSERT INTO so123 VALUES (1, DATE '2015-05-20', 'DTR', 'ISS', 'D2');
INSERT INTO so123 VALUES (2, DATE '2015-04-14', 'YT', 'RR', 'F2');
INSERT INTO so123 VALUES (2, DATE '2015-04-16', 'F', 'FC', 'F1');
COMMIT;
The select itself:
WITH
dmm AS (
SELECT MIN(d) min_d, MAX(d) max_d FROM so123
)
SELECT
NVL(s.id, LAST_VALUE(s.id) IGNORE NULLS OVER (ORDER BY dt.d)) AS id,
dt.d,
NVL(s.type, LAST_VALUE(s.type) IGNORE NULLS OVER (ORDER BY dt.d)) AS type,
NVL(s.code, LAST_VALUE(s.code) IGNORE NULLS OVER (ORDER BY dt.d)) AS code,
NVL(s.location, LAST_VALUE(s.location) IGNORE NULLS OVER (ORDER BY dt.d)) AS location
FROM (
SELECT min_d + level - 1 as d
FROM dmm
CONNECT BY min_d + level - 1 <= max_d
) dt LEFT JOIN so123 s ON (dt.d = s.d)
ORDER BY dt.d
;
Output:
ID D TYPE CODE LOCATION
---------- ---------------- ---------- ---------- ----------
2 14-04-2015 00:00 YT RR F2
2 15-04-2015 00:00 YT RR F2
2 16-04-2015 00:00 F FC F1
2 17-04-2015 00:00 F FC F1
2 18-04-2015 00:00 F FC F1
2 19-04-2015 00:00 F FC F1
2 20-04-2015 00:00 F FC F1
2 21-04-2015 00:00 F FC F1
2 22-04-2015 00:00 F FC F1
2 23-04-2015 00:00 F FC F1
2 24-04-2015 00:00 F FC F1
2 25-04-2015 00:00 F FC F1
2 26-04-2015 00:00 F FC F1
2 27-04-2015 00:00 F FC F1
2 28-04-2015 00:00 F FC F1
2 29-04-2015 00:00 F FC F1
2 30-04-2015 00:00 F FC F1
2 01-05-2015 00:00 F FC F1
2 02-05-2015 00:00 F FC F1
2 03-05-2015 00:00 F FC F1
2 04-05-2015 00:00 F FC F1
2 05-05-2015 00:00 F FC F1
2 06-05-2015 00:00 F FC F1
2 07-05-2015 00:00 F FC F1
2 08-05-2015 00:00 F FC F1
2 09-05-2015 00:00 F FC F1
2 10-05-2015 00:00 F FC F1
2 11-05-2015 00:00 F FC F1
2 12-05-2015 00:00 F FC F1
2 13-05-2015 00:00 F FC F1
2 14-05-2015 00:00 F FC F1
1 15-05-2015 00:00 TG RET X1
1 16-05-2015 00:00 TG RET X1
1 17-05-2015 00:00 GG CAN S2
1 18-05-2015 00:00 GG CAN S2
1 19-05-2015 00:00 GG CAN S2
1 20-05-2015 00:00 DTR ISS D2
37 rows selected
How does that work? We generate all the dates between the MIN and MAX dates from the source table. To do that, we use the CONNECT BY clause to make Oracle generate records until the condition min_d + level - 1 <= max_d doesn't hold any longer.
Then, we take the generated records and LEFT JOIN the source table to them. Here comes the LAST_VALUE analytic function's magic into play. This function searches for the last non-null (the IGNORE NULLS option) value in the table, using specified ordering and fills in the missing fields.
You can read more about that function here:
http://oracle-base.com/articles/misc/first-value-and-last-value-analytic-functions.php
SQLFiddle Demo
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