Step 1:
Download students.json from download handout
Step 2:
Import the same using mongo import
mongoimport -d school -c students < students.json
Step 3:
Write a program in your language to delete that will remove the lowest homework score for each student.
Step 4:
Cross check your data
Check 1:
Go to mongo shell
type
> use school
> db.students.count();
200
Check 2:
> db.students.find({_id:100}).pretty();
{
"_id" : 100,
"name" : "Demarcus Audette",
"scores" : [
{
"type" : "exam",
"score" : 47.42608580155614
},
{
"type" : "quiz",
"score" : 44.83416623719906
},
{
"type" : "homework",
"score" : 19.85604968544429
},
{
"type" : "homework",
"score" : 39.01726616178844
}
]
}
Check 3:
Aggregation Query for student with highest average
db.students.aggregate([{'$unwind':'$scores'},{'$group':{'_id':'$_id','average':{$avg:'$scores.score'}}},{'$sort':{'average':-1}},{'$limit':1}])
Next homework will do it tomorrow.
Download students.json from download handout
Step 2:
Import the same using mongo import
mongoimport -d school -c students < students.json
Step 3:
Write a program in your language to delete that will remove the lowest homework score for each student.
Step 4:
Cross check your data
Check 1:
Go to mongo shell
type
> use school
> db.students.count();
200
Check 2:
> db.students.find({_id:100}).pretty();
{
"_id" : 100,
"name" : "Demarcus Audette",
"scores" : [
{
"type" : "exam",
"score" : 47.42608580155614
},
{
"type" : "quiz",
"score" : 44.83416623719906
},
{
"type" : "homework",
"score" : 19.85604968544429
},
{
"type" : "homework",
"score" : 39.01726616178844
}
]
}
Check 3:
Aggregation Query for student with highest average
db.students.aggregate([{'$unwind':'$scores'},{'$group':{'_id':'$_id','average':{$avg:'$scores.score'}}},{'$sort':{'average':-1}},{'$limit':1}])
Next homework will do it tomorrow.
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