Först måste du avpivotera detta. Vi kan göra det så här...
SELECT name,
ARRAY[grade_poor, grade_fair, grade_good, grade_vgood]
FROM grades
name | array
-------+-----------
arun | {1,4,2,1}
neha | {3,2,1,4}
ram | {1,1,3,0}
radha | {0,3,1,4}
Sedan måste vi indexera i betyg... Vi gör det med en CROSS JOIN LATERAL
. Vi har 4 rader med en array av 4. Vi vill ha 4*4 rader.
SELECT name, grades, gs1.x, grades[gs1.x] AS gradeqty
FROM (
SELECT name,
ARRAY[grade_poor, grade_fair, grade_good, grade_vgood]
FROM grades
) AS t(name, grades)
CROSS JOIN LATERAL generate_series(1,4) AS gs1(x)
ORDER BY name, x;
name | grades | x | gradeqty
-------+-----------+---+----------
arun | {1,4,2,1} | 1 | 1
arun | {1,4,2,1} | 2 | 4
arun | {1,4,2,1} | 3 | 2
arun | {1,4,2,1} | 4 | 1
neha | {3,2,1,4} | 1 | 3
neha | {3,2,1,4} | 2 | 2
neha | {3,2,1,4} | 3 | 1
neha | {3,2,1,4} | 4 | 4
radha | {0,3,1,4} | 1 | 0
radha | {0,3,1,4} | 2 | 3
radha | {0,3,1,4} | 3 | 1
radha | {0,3,1,4} | 4 | 4
ram | {1,1,3,0} | 1 | 1
ram | {1,1,3,0} | 2 | 1
ram | {1,1,3,0} | 3 | 3
ram | {1,1,3,0} | 4 | 0
(16 rows)
Vad som återstår är att vi måste CROSS JOIN LATERAL
igen för att återge x (vår betyg), över gradqty
SELECT name,
gs1.x
FROM (
SELECT name,
ARRAY[grade_poor, grade_fair, grade_good, grade_vgood]
FROM grades
) AS t(name, grades)
CROSS JOIN LATERAL generate_series(1,4) AS gs1(x)
CROSS JOIN LATERAL generate_series(1,grades[gs1.x]) AS gs2(x)
ORDER BY name, gs1.x;
name | x
-------+---
arun | 1
arun | 2
arun | 2
arun | 2
arun | 2
arun | 3
arun | 3
arun | 4
neha | 1
neha | 1
neha | 1
neha | 2
neha | 2
neha | 3
neha | 4
neha | 4
neha | 4
neha | 4
radha | 2
radha | 2
radha | 2
radha | 3
radha | 4
radha | 4
radha | 4
radha | 4
ram | 1
ram | 2
ram | 3
ram | 3
ram | 3
(31 rows)
Nu GROUP BY name
och sedan använder vi en Ordered-Set Aggregate Functions percent_disc
för att avsluta jobbet...
SELECT name, percentile_disc(0.5) WITHIN GROUP (ORDER BY gs1.x)
FROM (
SELECT name,
ARRAY[grade_poor, grade_fair, grade_good, grade_vgood]
FROM grades
) AS t(name, grades)
CROSS JOIN LATERAL generate_series(1,4) AS gs1(x)
CROSS JOIN LATERAL generate_series(1,grades[gs1.x]) AS gs2(x)
GROUP BY name ORDER BY name;
name | percentile_disc
-------+-----------------
arun | 2
neha | 2
radha | 3
ram | 3
(4 rows)
Vill gå in närmare på det och göra det snyggt...
SELECT name, (ARRAY['Poor', 'Fair', 'Good', 'Very Good'])[percentile_disc(0.5) WITHIN GROUP (ORDER BY gs1.x)]
FROM (
SELECT name,
ARRAY[grade_poor, grade_fair, grade_good, grade_vgood]
FROM grades
) AS t(name, grades)
CROSS JOIN LATERAL generate_series(1,4) AS gs1(x)
CROSS JOIN LATERAL generate_series(1,grades[gs1.x]) AS gs2(x)
GROUP BY name
ORDER BY name;
name | array
-------+-------
arun | Fair
neha | Fair
radha | Good
ram | Good
(4 rows)
Vi kan få en lite mer varierad utgång om vi jackar upp en ny användare.
INSERT INTO grades (name,grade_poor,grade_fair,grade_good,grade_vgood)
VALUES ('Bob', 0,0,0,100);
name | array
-------+-----------
arun | Fair
Bob | Very Good
neha | Fair
radha | Good
ram | Good
(5 rows)