Reputation: 6277
id | userid | exerciseid | date | time | weight | distance | reps
1 | 24 | 1 | 2013-09-28 00:00:00 | 2321 | 231 | 121 | NULL
2 | 24 | 24 | 2013-09-28 00:00:00 | 2321 | 231 | 121 | NULL
3 | 24 | 1 | 2013-09-28 00:00:00 | 2321 | 231 | 121 | NULL
4 | 24 | 1 | 2000-00-00 00:00:00 | NULL | 100 | NULL | 2
5 | 24 | 1 | 2013-09-28 00:00:00 | 2321 | 231 | 121 | NULL
Rows 1, 3, and 5 are the same. I want to do a count that groups them together, whilst also adding a column with the count value.
SELECT id, userid, exerciseid, date, time, weight, distance, reps
FROM `exercises`
WHERE `userid` = 1 AND `date` < now()
So I want this to return something similar too:
id | userid | exerciseid | date | time | weight | distance | reps | count
1 | 24 | 1 | 2013-09-28 00:00:00 | 2321 | 231 | 121 | NULL | 3
4 | 24 | 1 | 2000-00-00 00:00:00 | NULL | 100 | NULL | 2 | NULL
Upvotes: 0
Views: 88
Reputation: 3582
Try this
SELECT id, userid, exerciseid, date, time, weight, distance, reps,
count(*) as count
FROM `exercises`
WHERE userid = 1 AND date < now()
GROUP BY id, userid, exerciseid, date, time, weight, distance, reps
Upvotes: 2
Reputation: 3213
Try this :
SELECT Count(*) As CountM, id, userid, exerciseid, date, time, weight, distance, reps
FROM `exercises`
WHERE `userid` = 1 AND `date` < now()
Group by id, userid, exerciseid, date, time, weight, distance, reps
Upvotes: 0