There's a few questions like this, but I can't find the answer to my specific problem.
Consider the below table:
| DateOfSale | food | customerid |
|---------------------------|--------------|------------|
| January, 03 2017 00:00:00 | pizza | 1 |
| January, 03 2017 00:00:00 | pizza | 2 |
| January, 03 2017 00:00:00 | pizza | 3 |
| January, 03 2017 00:00:00 | fish & chips | 4 |
| January, 02 2017 00:00:00 | pizza | 4 |
| January, 02 2017 00:00:00 | pizza | 4 |
| January, 02 2017 00:00:00 | pizza | 5 |
| January, 02 2017 00:00:00 | fish & chips | 6 |
| January, 01 2017 00:00:00 | pizza | 7 |
| January, 01 2017 00:00:00 | pizza | 8 |
| January, 01 2017 00:00:00 | pizza | 9 |
We're selling pizzas and fish & chips.
You'll notice that we didn't sell any fish & chips on Jan 1 in the below result, but I want to see a 0 sales count for this, but I don't. Also, there are no sales recorded for Jan 4, and I want to see 0 for both pizza and fish & chips. This is why I get dates from a date reference table - so that the date exists even if the sales don't.
| DateOfSale | food | Sales |
|---------------------------|--------------|-------|
| January, 01 2017 00:00:00 | pizza | 3 |
| January, 02 2017 00:00:00 | fish & chips | 1 |
| January, 02 2017 00:00:00 | pizza | 3 |
| January, 03 2017 00:00:00 | fish & chips | 1 |
| January, 03 2017 00:00:00 | pizza | 3 |
The code for this result is:
SELECT DATE(d.thedate) as DateOfSale, f.food, count(s.customerid) as Sales
FROM ref_date d
LEFT JOIN sales s on d.thedate = s.saledate
INNER JOIN foods f on s.foodid = f.id
GROUP BY DATE(d.thedate), f.food
And the full fiddle with data is here: http://sqlfiddle.com/#!9/ff9dc/2