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Difference between revisions of "AGGREGATE Tutorial"

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Line 122: Line 122:
  
 
==Harder Questions==
 
==Harder Questions==
<div class=q data-lang="py3">
+
<div class=q data-lang="mongo">
 
Print a list of names for countries in the continent of "North America" change United States to USA
 
Print a list of names for countries in the continent of "North America" change United States to USA
 
<pre class=def>
 
<pre class=def>
pp.pprint(list(
+
db.world.aggregate([
    db.world.aggregate([
+
  {$match:{
      {"$match":{
+
      continent:"North America"
          "continent":"North America"
+
  }},
      }},
+
  {$project:{
      {"$project":{
+
      _id:0,
          "_id":0,
+
      name:1
          "name":1
+
  }}
      }}
+
])
    ])
 
))
 
 
</pre>
 
</pre>
 
<div class=ans>
 
<div class=ans>
pp.pprint(list(db.world.aggregate([{"$match":{"continent":"North America"}},{"$project":{"_id":0,"name":{"$cond": [{"$eq":["$name","United States"]},"USA","$name"]}}}])))
+
db.world.aggregate([{"$match":{"continent":"North America"}},{"$project":{"_id":0,"name":{"$cond": [{"$eq":["$name","United States"]},"USA","$name"]}}}])
 
</div>
 
</div>
 
</div>
 
</div>
Line 145: Line 143:
 
Combine <b>North America</b> and <b>South America</b> to <b>America</b>, and then list the continents by area. Biggest first.
 
Combine <b>North America</b> and <b>South America</b> to <b>America</b>, and then list the continents by area. Biggest first.
 
<pre class=def>
 
<pre class=def>
pp.pprint(list(
+
db.world.aggregate([
    db.world.aggregate([
+
    {$group:{
        {"$group":{
+
        _id:{
            "_id":{
+
            $cond: [{$eq:["$continent","North America"]},"America",
                "$cond": [{"$eq":["$continent","North America"]},"America",
+
                {$cond: [{$eq:["$continent","Asia"]},"The East","$continent"]}]
                    {"$cond": [{"$eq":["$continent","Asia"]},"The East","$continent"]}]
+
        },
            },
+
        area:{$sum: "$area"}
            "area":{"$sum": "$area"}
+
    }},
        }},
+
    {$sort:{
        {"$sort":{
+
        area: -1
            "area": -1
+
    }},
        }},
+
    {$project:{
        {"$project":{
+
        _id:1,
            "_id":1,
+
        area:1
            "area":1
+
    }}
        }}
+
])
    ])
 
))
 
 
</pre>
 
</pre>
 
<div class=ans>
 
<div class=ans>
pp.pprint(list(db.world.aggregate([{"$group":{"_id":{"$cond":[{"$eq":["$continent","South America"]},"America",{"$cond":[{"$eq":["$continent","North America"]},"America","$continent"]}]},"area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}])))  
+
db.world.aggregate([{"$group":{"_id":{"$cond":[{"$eq":["$continent","South America"]},"America",{"$cond":[{"$eq":["$continent","North America"]},"America","$continent"]}]},"area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}])  
 
</div>
 
</div>
 
</div>
 
</div>
  
<div class=q data-lang="py3">
+
<div class=q data-lang="mongo">
 
Show the <b>name</b> and the <b>continent</b> for countries beginning with N - but replace the continent <b>Oceania</b> with <b>Australasia</b>.
 
Show the <b>name</b> and the <b>continent</b> for countries beginning with N - but replace the continent <b>Oceania</b> with <b>Australasia</b>.
 
<pre class=def>
 
<pre class=def>
pp.pprint(list(
+
db.world.aggregate([
    db.world.aggregate([
+
    {$match:{
        {"$match":{
+
        name:{$regex:"^N"}
            "name":{"$regex":"^N"}
+
    }},
        }},
+
    {$project:{
        {"$project":{
+
        _id:0,
            "_id":0,
+
        name:1
            "name":1
+
    }}
        }}
+
])
    ])
 
))
 
 
</pre>
 
</pre>
 
<div class=ans>
 
<div class=ans>
pp.pprint(list(db.world.aggregate([{"$match":{"name":{"$regex":"^N"}}},{"$project":{"_id":0,"name":1,"continent":{"$cond":[{"$eq":["$continent","Oceania"]},"Australasia","$continent"]}}}])))
+
db.world.aggregate([{"$match":{"name":{"$regex":"^N"}}},{"$project":{"_id":0,"name":1,"continent":{"$cond":[{"$eq":["$continent","Oceania"]},"Australasia","$continent"]}}}])
 
</div>
 
</div>
 
</div>
 
</div>
  
<div class=q data-lang="py3">
+
<div class=q data-lang="mongo">
 
Show the <b>name</b> and the <b>continent</b> but:<br/><br/>
 
Show the <b>name</b> and the <b>continent</b> but:<br/><br/>
 
&nbsp;&nbsp;&nbsp;&nbsp;substitute <b>Eurasia</b> for <b>Europe</b> and <b>Asia</b>.<br/>
 
&nbsp;&nbsp;&nbsp;&nbsp;substitute <b>Eurasia</b> for <b>Europe</b> and <b>Asia</b>.<br/>
Line 196: Line 190:
 
<pre class=def></pre>
 
<pre class=def></pre>
 
<div class=ans>
 
<div class=ans>
pp.pprint(list(
+
db.world.aggregate([
    db.world.aggregate([
+
    {$match:{
        {"$match":{
+
        name":{$regex:"^A|^B"}
            "name":{"$regex":"^A|^B"}
+
    }},
        }},
+
    {$project":{
        {"$project":{
+
        _id:0,
            "_id":0,
+
        name:1,
            "name":1,
+
        continent: {
            "continent": {
+
            $cond: [{
                "$cond": [{
+
                $or:[  
                    "$or":[  
+
                    {$eq:["$continent","Europe"]},
                        {"$eq":["$continent","Europe"]},
+
                    {$eq":["$continent","Asia"]}
                        {"$eq":["$continent","Asia"]}
+
                ]},"Eurasia",{
                    ]},"Eurasia",{
+
                    $cond: [
                        "$cond": [
+
                        {$or:[  
                            {"$or":[  
+
                            {$eq:["$continent","North America"]},
                                {"$eq":["$continent","North America"]},
+
                            {$eq:["$continent","South America"]},
                                {"$eq":["$continent","South America"]},
+
                            {$eq:["$continent","Caribbean"]}
                                {"$eq":["$continent","Caribbean"]}
+
                        ]},"America","$continent"]}
                            ]},"America","$continent"]}
+
            ]}
                ]}
+
    }}
        }}
+
])
    ])
 
))
 
 
</div>
 
</div>
 
</div>
 
</div>
  
<div class=q data-lang="py3">
+
<div class=q data-lang="mongo">
 
Put the continents right...
 
Put the continents right...
 
<br/><br/>
 
<br/><br/>
Line 233: Line 225:
 
<pre class=def></pre>
 
<pre class=def></pre>
 
<div class=ans>
 
<div class=ans>
pp.pprint(list(
 
 
     db.world.aggregate([
 
     db.world.aggregate([
 
         {"$project":{
 
         {"$project":{
Line 267: Line 258:
 
         }}
 
         }}
 
     ])
 
     ])
))
 
 
</div>
 
</div>
 
</div>
 
</div>

Revision as of 15:42, 3 December 2015

Country Profile

For these questions you should use aggregate([]) on the collection world

Give the name and the per capita GDP for those countries with a population of at least 200 million.

per capita GDP is the GDP divided by the population.

db.world.aggregate([
    {$match:{
        population:{$gte:250000000}
    }},
    {$project:{
        _id:0,
        name:1,
        "per capita GDP": {$divide: ['$gdp',1000000]}
    }}
]).pretty()
db.world.aggregate([{"$match":{"population":{"$gte":200000000}}},{"$project":{"_id":0,"name":1,"per capita GDP": {"$divide": ["$gdp","$population"]}}}])

Give the name and the population density of all countries. Ignore results where the density is "None".

population density is the population divided by the area

Use a $match. {"area":{"$ne":0}}

db.world.aggregate([
    {$project:{
        _id:0,
        name:1,
        density: {$divide: ["$population","$area"]}
    }},
    {$match:{
        density: {$ne:null}
    }}
])

db.world.aggregate([{"$match":{"area":{"$ne":0}}},{"$project":{"_id":0,"name":1,"density":{"$divide":["$population","$area"]}}},{"$match":{"density":{"$ne":null}}}])

Show the name and population in millions for the countries of the continent South America. Divide the population by 1000000 to get population in millions.

db.world.aggregate([
    {$match:{
         
    }},
    {$project:{
        _id:0,
        name:1
    }}
])

db.world.aggregate([{"$match":{"continent":{"$eq":"South America"}}},{"$project":{"_id":0,"name":1,"population":{"$divide":["$population",1000000]}}}])


Show the name and population density for France, Germany, and Italy

db.world.aggregate([
    {$match:{
        name: {$in:['United Kingdom','United States','Brazil']},
        population: {$ne: null},
        area: {$ne: 0}
    }},
    {$project:{
        _id:0,
        name:1
    }}
])

db.world.aggregate([{"$match":{"name":{"$in":['France','Germany','Italy']},"population":{"$ne":null},"area":{"$ne":0}}},{"$project":{"_id":0,"name":1,"population density":{"$divide":["$population","$area"]}}}])

Order the continents by area from most to least.

db.world.aggregate([
    {$group:{
        _id:"$name",
        area:{$max: "$area"}
    }},
    {$sort:{
        area: -1
    }},
    {$project:{
        _id:1,
        area:1
    }}
])
   db.world.aggregate([
       {"$group":{
           "_id":"$continent",
           "area":{"$sum": "$area"}
       }},
       {"$sort":{
           "area": -1
       }},
       {"$project":{
           "_id":1,
           "area":1
       }}
   ])

Harder Questions

Print a list of names for countries in the continent of "North America" change United States to USA

db.world.aggregate([
  {$match:{
      continent:"North America"
  }},
  {$project:{
      _id:0,
      name:1
  }}
])

db.world.aggregate([{"$match":{"continent":"North America"}},{"$project":{"_id":0,"name":{"$cond": [{"$eq":["$name","United States"]},"USA","$name"]}}}])

Combine North America and South America to America, and then list the continents by area. Biggest first.

db.world.aggregate([
    {$group:{
        _id:{
            $cond: [{$eq:["$continent","North America"]},"America",
                {$cond: [{$eq:["$continent","Asia"]},"The East","$continent"]}]
        },
        area:{$sum: "$area"}
    }},
    {$sort:{
        area: -1
    }},
    {$project:{
        _id:1,
        area:1
    }}
])

db.world.aggregate([{"$group":{"_id":{"$cond":[{"$eq":["$continent","South America"]},"America",{"$cond":[{"$eq":["$continent","North America"]},"America","$continent"]}]},"area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}])

Show the name and the continent for countries beginning with N - but replace the continent Oceania with Australasia.

db.world.aggregate([
    {$match:{
        name:{$regex:"^N"}
    }},
    {$project:{
        _id:0,
        name:1
    }}
])

db.world.aggregate([{"$match":{"name":{"$regex":"^N"}}},{"$project":{"_id":0,"name":1,"continent":{"$cond":[{"$eq":["$continent","Oceania"]},"Australasia","$continent"]}}}])

Show the name and the continent but:

    substitute Eurasia for Europe and Asia.
    substitute America - for each country in North America or South America or Caribbean.

Only show countries beginning with A or B
If you're struggling you may want to experiment with $and,$or, etc.


db.world.aggregate([

   {$match:{
       name":{$regex:"^A|^B"}
   }},
   {$project":{
       _id:0,
       name:1,
       continent: {
           $cond: [{
               $or:[ 
                   {$eq:["$continent","Europe"]},
                   {$eq":["$continent","Asia"]}
               ]},"Eurasia",{
                   $cond: [
                       {$or:[ 
                           {$eq:["$continent","North America"]},
                           {$eq:["$continent","South America"]},
                           {$eq:["$continent","Caribbean"]}
                       ]},"America","$continent"]}
           ]}
   }}

])

Put the continents right...

    Oceania becomes Australasia
    Countries in Eurasia and Turkey go to Europe/Asia
    Caribbean islands starting with 'B' go to North America, other Caribbean islands go to South America


Show the name, the original continent and the new continent of all countries.


   db.world.aggregate([
       {"$project":{
           "_id":0,
           "name":1,
           "original": "$continent",
           "new": {
               "$cond": [
                   {"$or":[ 
                       {"$eq":["$continent","Eurasia"]},
                       {"$eq":["$name","Turkey"]}
                   ]},"Europe/Asia",{
                       "$cond":[
                           {"$eq":["$continent","Oceania"]},"Australasia",{
                               "$cond":[
                                   {"$and":[
                                       {"$eq":["$continent","Caribbean"]},
                                       {"$eq":[{"$substr":["$name",0,1]}, "B"]}
                                   ]},"North America",{
                                       "$cond":[
                                           {"$and":[
                                               {"$eq":["$continent","Caribbean"]},
                                               {"$ne":[{"$substr":["$name",0,1]}, "B"]}
                                           ]},"South America","$continent"
                                       ]
                                   }
                               ]
                           }
                       ]
                  }
               ]
           }
       }}
   ])