Here's the table in question, generated from the command at the bottom of this question:
+--------------+-----------------+
| usr_postcode | pdp_point_total |
+--------------+-----------------+
| MS2 8LA | 160 |
| MS2 8LA | 140 |
| MS2 8LA | 110 |
| MS2 8LA | 100 |
| MS2 8LA | 90 |
| MS2 8LA | 80 |
| MS2 8LA | 50 |
| MS2 8LA | 30 |
| WN4 9NV | 25 |
| MS2 8LA | 20 |
| SL6 1SR | 10 |
| SL1 4DX | 10 |
+--------------+-----------------+
I'd like to find the largest value in the second column for each value in column one, so the output would be something like:
-------------
MS2 8LA | 160
WN4 9NV | 25
SL6 1SR | 10
SL1 4DX | 10
-------------
the two columns are from different tables so at the moment this is my command:
SELECT DISTINCT users.usr_postcode, point_date_pairs.pdp_point_total FROM users
INNER JOIN point_date_pairs ON users.usr_id_pk = point_date_pairs.usr_id_fk
ORDER BY point_date_pairs.pdp_point_total DESC;
GROUP BY should help:
SELECT users.usr_postcode, MAX(point_date_pairs.pdp_point_total)
FROM users
INNER JOIN point_date_pairs ON users.usr_id_pk = point_date_pairs.usr_id_fk
GROUP BY users.usr_postcode ASC
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