I am trying to solve Q.20 on this page. The dataset is here
Q20.Write a MongoDB query to find the restaurant Id, name, borough and cuisine for those restaurants which achieved a score which is not more than 10.
I am trying it the following way but I can see that I get results of restaurants with scores of [2,6,10,9,14] and [8,23,12,12]. So I know it can't be right.
for r in restaraunts
for g in r.grades
filter g.score <=10
return distinct {ID:r.restaurant_id,name:r.name,borough:r.borough,cuisine:r.cuisine,score:r.grades[*].score}
Please help, I have tried different projections of the scores, but I feel I'm overlooking something. If I use collect I still get it wrong
collect rest=r.restaurant_id,name= r.name, bor=r.borough,cuis=r.cuisine, sc=r.grades[*].score into groups
for g in sc
filter g<=10
return {rest:rest,name:name,bor:bor,cuis:cuis,sc:g}
Use the MAX()
function to determin the value to be filtered:
for r in restaurants
LET score = MAX(r.grades[*].score)
filter score <=10
return distinct {ID:r.restaurant_id,name:r.name,borough:r.borough,cuisine:r.cuisine,score:score}
I didn't test this against your dataset, but with this small snippet:
LET r = {'grades': [ {score: 5}, {score: 7}, {score: 15} ] }
RETURN MAX(r.grades[*].score)