Right now I have the following query:
SELECT name, COUNT(name), time, price, ip, SUM(price)
FROM tablename
WHERE time >= $yesterday
AND time <
Replacing FROM tablename
with FROM (SELECT DISTINCT * FROM tablename)
should give you the result you want (ignoring duplicated rows) for example:
SELECT name, COUNT(*)
FROM (SELECT DISTINCT * FROM Table1) AS T1
GROUP BY name
Result for your test data:
dave 2
mark 2
Somehow your requirement sounds a bit contradictory ..
group by name (which is basically a distinct on name plus readiness to aggregate) and then a distinct on IP
What do you think should happen if two people (names) worked from the same IP within the time period specified?
Did you try this?
SELECT name, COUNT(name), time, price, ip, SUM(price)
FROM tablename
WHERE time >= $yesterday AND time <$today
GROUP BY name,ip
Try the following:
SELECT DISTINCT(ip), name, COUNT(name) nameCnt,
time, price, SUM(price) priceSum
FROM tablename
WHERE time >= $yesterday AND time <$today
GROUP BY ip, name
you can use COUNT(DISTINCT ip)
, this will only count distinct values
You can just add the DISTINCT(ip)
, but it has to come at the start of the query. Be sure to escape PHP variables that go into the SQL string.
SELECT DISTINCT(ip), name, COUNT(name) nameCnt,
time, price, SUM(price) priceSum
FROM tablename
WHERE time >= $yesterday AND time <$today
GROUP BY ip, name