I have a table with values like so:
CREATE TABLE myTable
(`ts` varchar(2), `usr_id` varchar(1), `data` varchar(1))
;
INSERT INTO myTable
(`ts`, `usr_id`, `data`)
VALUES
('11', 'A', 'x'),
('11', 'A', 'x'),
('11', 'B', 'x'),
('11', 'C', 'x'),
('11', 'C', 'x'),
('11', 'C', 'x'),
('22', 'B', 'x'),
('33', 'C', 'x'),
('33', 'C', 'x'),
('33', 'D', 'x'),
('33', 'A', 'x')
;
I want to do a GROUP BY based on ts and display the counts for distinct values of usr_id like below.
ts | count of A | count of B | count of others |
---|---|---|---|
11 | 2 | 1 | 3 |
22 | 0 | 1 | 0 |
33 | 1 | 0 | 3 |
http://www.sqlfiddle.com/#!9/bbf4fc/2
I couldn't make much progress beyond doing the GROUP BY for ts: select ts, usr_id, count(*) from myTable group by ts, usr_id; But I want the counts of rows with A, B and others in the same row, can't figure out how to achieve that.
This is your query
SELECT
DISTINCT ts,
COUNT(CASE WHEN usr_id = 'A' THEN 1 END) AS count_a,
COUNT(CASE WHEN usr_id = 'B' THEN 1 END) AS count_b,
COUNT(CASE WHEN usr_id != 'A' AND usr_id != 'B' THEN 1 END) AS count_others
FROM myTable
GROUP BY ts
ORDER BY ts
PostgreSQL allows filtering aggregates:
select ts,
count(1) filter (where usr_id = 'A') as "count of A",
count(1) filter (where usr_id = 'B') as "count of B",
count(1) filter (where usr_id not in ('A', 'B')) as "count of others"
from mytable
group by ts;
db<>fiddle here
your sample link is ybout mysql, but
SELECT
ts
, SUM(`usr_id` = 'A') CountA
, SUM(`usr_id` = 'B') CountB
, SUM(`usr_id` <> 'B' AND `usr_id` = 'B') CountElse
from myTable group by ts
And for posdgres
select
ts
, SUM(CASE WHEN "usr_id" = 'A' THEN 1 ELSE 0 END) CountA
, SUM(CASE WHEN "usr_id" = 'B' THEN 1 ELSE 0 END) CountB
, SUM(CASE WHEN "usr_id" <> 'B' AND "usr_id" = 'B' THEN 1 ELSE 0 END) CountElse
from myTable group by ts
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