I have a SQLite table that looks like this:
ID_TABLE POINTS_A_TABLE POINTS_B_TABLE
id number id_a points_a id_b points_b
-------------- ---------------- ----------------
smith 1 smith 11 smith 25
gordon 22 gordon 11 gordon NULL
butch 3 butch 11 butch 26
sparrow 25 sparrow NULL sparrow 44
white 76 white 46 white NULL
With the following command
SELECT id,
avg(points_a)
FROM (SELECT id_a AS id, points_a FROM points_a_table
UNION ALL
SELECT id_b AS id, points_b FROM points_b_table)
GROUP BY id
ORDER BY avg(points_a) DESC;
i'm able to get the average of points associated with each name (more details here)
id avg(points_a)
white 46.0 [(46+0)/2]
sparrow 44.0 [(0+44)/2]
butch 18.5 [(11+26)/2]
smith 18.0 [(11+25)/2]
gordon 11.0 [(11+0)/2]
Now I'd like to match the resulting column id
with the corresponding columnnumber
in ID_TABLE
with ID_TABLE.number LESS THAN 26. The result should be (number|average
):
76 46.0 [(46+0)/2]
25 44.0 [(0+44)/2]
3 18.5 [(11+26)/2]
76 18.0 [(11+25)/2]
22 11.0 [(11+0)/2]
How can I do that all in one query, by combining new instructions with the previous ones ?
You'll need to do a JOIN and then modify your grouping slightly to keep aggregate function working. Assuming that there is exactly one record in
id_table
for every corresponding record inpoints_a
orpoints_b
:This looks straightforward, using your original query as a subquery. Does this not give you what you want?