If you have a table of incremental values it can be hard to find out which ones are missing. The only solution might be to write a script to get all the data from the database and see which ones are missing. However, there is a way of doing this without using a script.
Using a standard select query like this:
SELECT * FROM table;Gets the following data:
1
3
10
23We can see that values are missing, but which ones? The following query will show us where the gaps are in the data of the table.
SELECT t1.id+1 as Missing
FROM table as t1
LEFT JOIN table as t2 ON t1.id+1 = t2.id
WHERE t2.id IS NULL
ORDER BY t1.id;Produces the following result.
2
4
11
24However, this only tell us where the gaps are, not how long they are. To get the range of where the gaps from and to we need to do something a little more complex.
SELECT
t1.id+1 AS 'Missing From',
MIN(t2.id) - 1 AS 'To'
FROM table AS t1, table AS t2
WHERE t1.id < t2.id
GROUP BY t1.id
HAVING t1.id < MIN(t2.id) - 1;This query gives the following result.
| Missing From | To |
|---|---|
| 2 | 2 |
| 4 | 9 |
| 11 | 22 |
Using this dataset we can figure out where the gaps in the data are and perhaps do something with them.
Comments
HAVING 't1.ID' } Let us know if that works!
Very nice. I tweaked your example a little to find records that are missing by date
CREATE TABLE IF NOT EXISTS `sequence` (
`id` BIGINT NOT NULL AUTO_INCREMENT ,
`date` DATETIME NOT NULL ,
PRIMARY KEY (`id`)
)
ENGINE = InnoDB;
# missing 10/2, 10/12, and 10/13
INSERT INTO sequence (date) values ('2011-10-01 00:00:00');
INSERT INTO sequence (date) values ('2011-10-03 00:00:00');
INSERT INTO sequence (date) values ('2011-10-04 00:00:00');
INSERT INTO sequence (date) values ('2011-10-05 00:00:00');
INSERT INTO sequence (date) values ('2011-10-06 00:00:00');
INSERT INTO sequence (date) values ('2011-10-07 00:00:00');
INSERT INTO sequence (date) values ('2011-10-08 00:00:00');
INSERT INTO sequence (date) values ('2011-10-09 00:00:00');
INSERT INTO sequence (date) values ('2011-10-10 00:00:00');
INSERT INTO sequence (date) values ('2011-10-11 00:00:00');
INSERT INTO sequence (date) values ('2011-10-14 00:00:00');
INSERT INTO sequence (date) values ('2011-10-15 00:00:00');
INSERT INTO sequence (date) values ('2011-10-16 00:00:00');
INSERT INTO sequence (date) values ('2011-10-17 00:00:00');
INSERT INTO sequence (date) values ('2011-10-18 00:00:00');
INSERT INTO sequence (date) values ('2011-10-19 00:00:00');
INSERT INTO sequence (date) values ('2011-10-20 00:00:00');
mysql> SELECT
-> DATE_ADD(t1.date, INTERVAL 1 DAY) AS 'Missing From',
-> DATE_ADD( MIN(t2.date), INTERVAL -1 DAY) AS 'To'
-> FROM sequence AS t1, sequence AS t2
-> WHERE t1.date GROUP BY t1.date
-> HAVING t1.date < DATE_ADD( MIN(t2.date), INTERVAL -1 DAY);
+---------------------+---------------------+
| Missing From | To |
+---------------------+---------------------+
| 2011-10-02 00:00:00 | 2011-10-02 00:00:00 |
| 2011-10-12 00:00:00 | 2011-10-13 00:00:00 |
+---------------------+---------------------+
2 rows in set (0.00 sec)
That's awesome! I'm sure I'll have a use for that one day.
Thanks for your input Andy :)