I have a working query that is grouping data by hardware model and a result, but the problem is there are many "results". I have tried to reduce that down to "if result = 0 then keep as 0, else set it to 1". This generally works, but I end up having:
day | name | type | case | count
------------+----------------+------+------+-------
2013-11-06 | modelA | 1 | 0 | 972
2013-11-06 | modelA | 1 | 1 | 42
2013-11-06 | modelA | 1 | 1 | 2
2013-11-06 | modelA | 1 | 1 | 11
2013-11-06 | modelB | 1 | 0 | 456
2013-11-06 | modelB | 1 | 1 | 16
2013-11-06 | modelB | 1 | 1 | 8
2013-11-06 | modelB | 3 | 0 | 21518
2013-11-06 | modelB | 3 | 1 | 5
2013-11-06 | modelB | 3 | 1 | 7
2013-11-06 | modelB | 3 | 1 | 563
Instead of the aggregate I am trying to achieve, where only 1 row per type/case combo.
day | name | type | case | count
------------+----------------+------+------+-------
2013-11-06 | modelA | 1 | 0 | 972
2013-11-06 | modelA | 1 | 1 | 55
2013-11-06 | modelB | 1 | 0 | 456
2013-11-06 | modelB | 1 | 1 | 24
2013-11-06 | modelB | 3 | 0 | 21518
2013-11-06 | modelB | 3 | 1 | 575
Here is my query:
select CURRENT_DATE-1 AS day, model.name, attempt.type,
CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END,
count(*)
from attempt attempt, prod_hw_id prod_hw_id, model model
where time >= '2013-11-06 00:00:00'
AND time < '2013-11-07 00:00:00'
AND attempt.hard_id = prod_hw_id.hard_id
AND prod_hw_id.model_id = model.model_id
group by model.name, attempt.type, attempt.result
order by model.name, attempt.type, attempt.result;
Any tips on how I can achieve this would be awesome.
Day will always be defined in the WHERE clause, so it will not vary. name, type, result(case) and count will vary. In short, for any given model I want only 1 row per "type + case" combo. As you can see in the first result set I have 3 rows for modelA that have type=1 and case=1 (because there are many "result" values that I have turned into 0=0 and anything else=1). I want that to be represented as 1 row with the count aggregated as in example data set 2.
Your query would work already - except that you are running into naming conflicts or just confusing the output column (the CASE expression) with source column result, which has different content.
...
GROUP BY model.name, attempt.type, attempt.result
...You need to GROUP BY your CASE expression instead of your source column:
...
GROUP BY model.name, attempt.type
, CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END
...Or provide a column alias that's different from any column name in the FROM list - or else that column takes precedence:
SELECT ...
, CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END AS result1
...
GROUP BY model.name, attempt.type, result1
...The SQL standard is rather peculiar in this respect. Quoting the manual here:
An output column's name can be used to refer to the column's value in
ORDER BYandGROUP BYclauses, but not in theWHEREorHAVINGclauses; there you must write out the expression instead.
And:
If an
ORDER BYexpression is a simple name that matches both an output column name and an input column name,ORDER BYwill interpret it as the output column name. This is the opposite of the choice thatGROUP BYwill make in the same situation. This inconsistency is made to be compatible with the SQL standard.
Bold emphasis mine.
These conflicts can be avoided by using positional references (ordinal numbers) in GROUP BY and ORDER BY, referencing items in the SELECT list from left to right. See solution below.
The drawback is, that this may be harder to read and vulnerable to edits in the SELECT list (one might forget to adapt positional references accordingly).
But you do not have to add the column day to the GROUP BY clause, as long as it holds a constant value (CURRENT_DATE-1).
Rewritten and simplified with proper JOIN syntax and positional references it could look like this:
SELECT m.name
, a.type
, CASE WHEN a.result = 0 THEN 0 ELSE 1 END AS result
, CURRENT_DATE - 1 AS day
, count(*) AS ct
FROM attempt a
JOIN prod_hw_id p USING (hard_id)
JOIN model m USING (model_id)
WHERE ts >= '2013-11-06 00:00:00'
AND ts < '2013-11-07 00:00:00'
GROUP BY 1,2,3
ORDER BY 1,2,3;Also note that I am avoiding the column name time. That's a reserved word and should never be used as identifier. Besides, your "time" obviously is a timestamp or date, so that is rather misleading.
can you please try this: replace the case statement with the below one
Sum(CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END) as Count,
Try adding the other two non COUNT columns to the GROUP BY:
select CURRENT_DATE-1 AS day,
model.name,
attempt.type,
CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END,
count(*)
from attempt attempt, prod_hw_id prod_hw_id, model model
where time >= '2013-11-06 00:00:00'
AND time < '2013-11-07 00:00:00'
AND attempt.hard_id = prod_hw_id.hard_id
AND prod_hw_id.model_id = model.model_id
group by 1,2,3,4
order by model.name, attempt.type, attempt.result;
For TSQL I like to encapsulate case statements in an outer apply. This prevents me from having to have the case statement written twice, allows reference to the case statement by alias in future joins and avoids the need for positional references.
select oa.day,
model.name,
attempt.type,
oa.result
COUNT(*) MyCount
FROM attempt attempt, prod_hw_id prod_hw_id, model model
WHERE time >= '2013-11-06 00:00:00'
AND time < '2013-11-07 00:00:00'
AND attempt.hard_id = prod_hw_id.hard_id
AND prod_hw_id.model_id = model.model_id
OUTER APPLY (
SELECT CURRENT_DATE-1 AS day,
CASE WHEN attempt.result = 0 THEN 0 ELSE 1 END result
) oa
group by oa.day,
model.name,
attempt.type,
oa.result
order by model.name, attempt.type, oa.result;
来源：https://stackoverflow.com/questions/19848930/group-by-case-statement