On Sunday, 22 September, 2019 04:10, Bart Smissaert <[email protected]>
wrote:
>Have this query:
>SELECT round(((Julianday('now') - 2415018.5) - P.DOB) / 365.25, 0) AS AGE,
> AVG(BM.numeric_value) AS avg_Hb_Male,
> AVG(BF.numeric_value) as avg_Hb_Female
>FROM PATIENTS P INNER JOIN NUM_VALUES BM ON(P.ID = BM.ID AND P.SEX = 'Male')
> INNER join NUM_VALUES BF ON(P.ID = BF.ID AND P.SEX = 'Female')
>WHERE BF.term_text = 'Haemoglobin estimation' and
> BM.term_text = 'Haemoglobin estimation'
>GROUP BY AGE
>HAVING AGE > 18 and AGE < 98
>ORDER BY AGE ASC
>Which always used to run fine and return rows. There is no error, but
>there are no returned rows.
What changed between when it was "working" and when it was "not working"? As
far as I can see it should never have been "working" because the eqijoin
constraints could never be satisfied except by a Patients that was both Male
and Female at the same time in the same record (which is impossible).
select round(((Julianday('now') - 2415018.5) - P.DOB) / 365.25, 0) as Age,
avg(case when P.Sex == 'Male' then V.numeric_value else null end) as
avg_Hb_Male,
avg(case when P.Sex == 'Female' then V.numeric_value else null end) as
avg_Hb_Female
from Patients P, num_values V
where P.id == V.id
and V.term_text == 'Haemoglobin estimation'
group by Age
having Age between 19 and 97
order by Age asc;
or, using outer joins:
select round(((Julianday('now') - 2415018.5) - P.DOB) / 365.25, 0) as Age,
avg(BM.numeric_value) as avg_Hb_Male,
avg(BF.numeric_value) as avg_Hb_Female
from Patients as P
left join num_values as BM
on P.id == BM.id
and P.Sex == 'Male'
and BM.term_text == 'Haemoglobin estimation'
left join num_values as BF
on P.id == BF.id
and P.Sex == 'Female'
and BF.term_text == 'Haemoglobin estimation'
group by Age
having Age between 19 and 97
order by Age asc;
or, using correlated subqueries:
select round(((Julianday('now') - 2415018.5) - P.DOB) / 365.25, 0) as Age,
avg((
select numeric_value
from num_values as V
where P.id == V.id
and P.Sex == 'Male'
and V.term_text == 'Haemoglobin estimation'
)) as avg_Hb_Male,
avg((
select numeric_value
from num_values as V
where P.id == V.id
and P.Sex == 'Female'
and V.term_text == 'Haemoglobin estimation'
)) as avg_Hb_Female
from Patients as P
group by Age
having Age between 19 and 97
order by Age asc;
The first one is likely to be the fastest to execute since it does the least
record lookups and the optimizer has the best chance at optimizing the query.
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