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Difference between revisions of "AGGREGATE Tutorial"

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You may find these [[AGGREGATE examples]] useful.
 
You may find these [[AGGREGATE examples]] useful.
 
<div class='extra_space' style='width:1em; height:6em;'></div>
 
<div class='extra_space' style='width:1em; height:6em;'></div>
 +
==$group on continent==
 +
<div class="q" data-lang="mongo">
 +
The aggregate method allows a <code>$group</code> - you must specify the <code>_id</code> and you can use aggregating functions such as <code>$sum</code> <code>$min</code> <code>$max</code> <code>$push</code>
 +
 +
The sample code shows the total population of each continent.
 +
<div class='imper'>Show the number of countries in each continent.</div>
 +
<pre class="def"><nowiki>
 +
db.world.aggregate({
 +
  $group: {
 +
    _id: '$continent',
 +
    res: {
 +
      $sum: '$population'
 +
    }
 +
  }
 +
});</nowiki></pre>
 +
<pre class="ans"><nowiki>db.world.aggregate({
 +
  $group: {
 +
    _id: '$continent',
 +
    res: {
 +
      $sum: 1
 +
    }
 +
  }
 +
});
 +
</nowiki></pre>
 +
</div>
 +
 
==Per Capita GDP==
 
==Per Capita GDP==
 
<div class="q" data-lang="mongo">
 
<div class="q" data-lang="mongo">
Line 12: Line 38:
 
<pre class="def"><nowiki>
 
<pre class="def"><nowiki>
 
db.world.aggregate([
 
db.world.aggregate([
     {$match:{
+
     {$match: {
         population:{$gte:250000000}
+
         population: {$gte: 250000000}
 
     }},
 
     }},
     {$project:{
+
     {$project: {
         _id:0,
+
         _id: 0,
         name:1,
+
         name: 1,
         "per capita GDP": {$divide: ['$gdp',1000000]}
+
         "per capita GDP": {$divide: ['$gdp', 1000000]}
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
 
 
<pre class="ans"><nowiki>db.world.aggregate([{"$match":{"population":{"$gte":200000000}}},{"$project":{"_id":0,"name":1,"per capita GDP": {"$divide": ["$gdp","$population"]}}}]);</nowiki></pre>
 
<pre class="ans"><nowiki>db.world.aggregate([{"$match":{"population":{"$gte":200000000}}},{"$project":{"_id":0,"name":1,"per capita GDP": {"$divide": ["$gdp","$population"]}}}]);</nowiki></pre>
 
</div>
 
</div>
 +
 
==Population Density in South America==
 
==Population Density in South America==
 
<div class="q" data-lang="mongo">
 
<div class="q" data-lang="mongo">
Line 41: Line 67:
 
         density: {$divide: ["$population", "$area"]}
 
         density: {$divide: ["$population", "$area"]}
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{$match:{continent:'South America'}},{$project:{_id:0,name:1,density:{$divide:["$population","$area"]}}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{$match:{continent:'South America'}},{$project:{_id:0,name:1,density:{$divide:["$population","$area"]}}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
 
==Population Density for "V"==
 
==Population Density for "V"==
Line 72: Line 95:
 
         area: 1
 
         area: 1
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{$match:{name:{$gt:'V'}}},{$match:{area:{"$ne":0}}},{$project:{_id:0,name:1,density:{$divide:["$population","$area"]}}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{$match:{name:{$gt:'V'}}},{$match:{area:{"$ne":0}}},{$project:{_id:0,name:1,density:{$divide:["$population","$area"]}}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
 
==Population in millions==
 
==Population in millions==
Line 84: Line 104:
 
db.world.aggregate([
 
db.world.aggregate([
 
     {$match:{
 
     {$match:{
       
+
 
 
     }},
 
     }},
 
     {$project:{
 
     {$project:{
Line 90: Line 110:
 
         name: 1
 
         name: 1
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{"$match":{"continent":{"$eq":"South America"}}},{"$project":{"_id":0,"name":1,"population":{"$divide":["$population",1000000]}}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{"$match":{"continent":{"$eq":"South America"}}},{"$project":{"_id":0,"name":1,"population":{"$divide":["$population",1000000]}}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
  
Line 111: Line 128:
 
         name: 1
 
         name: 1
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>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"]}}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
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"]}}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
 
==Continents by area==
 
==Continents by area==
Line 133: Line 147:
 
         area: 1
 
         area: 1
 
     }}
 
     }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{"$group":{"_id":"$continent","area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{"$group":{"_id":"$continent","area":{"$sum":"$area"}}},{"$sort":{"area":-1}},{"$project":{"_id":1,"area":1}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
  
Line 152: Line 163:
 
       name: 1
 
       name: 1
 
   }}
 
   }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{$group:{_id:"$continent",area:{$sum:"$area"}}},{$sort:{area:-1}},{$match:{area:{$gt:25000000}}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{$group:{_id:"$continent",area:{$sum:"$area"}}},{$sort:{area:-1}},{$match:{area:{$gt:25000000}}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
 
==First and last country by continent==
 
==First and last country by continent==
 
<div class="q" data-lang="mongo">
 
<div class="q" data-lang="mongo">
 
For each continent show the first and last country alphabetically like this:
 
For each continent show the first and last country alphabetically like this:
 +
<syntaxhighlight lang="JavaScript>
 
  { "_id" : "Africa", "from" : "Algeria", "to" : "Zimbabwe" }
 
  { "_id" : "Africa", "from" : "Algeria", "to" : "Zimbabwe" }
 
  { "_id" : "Asia", "from" : "Afghanistan", "to" : "Yemen" }
 
  { "_id" : "Asia", "from" : "Afghanistan", "to" : "Yemen" }
Line 169: Line 178:
 
  { "_id" : "Oceania", "from" : "Australia", "to" : "Vanuatu" }
 
  { "_id" : "Oceania", "from" : "Australia", "to" : "Vanuatu" }
 
  { "_id" : "South America", "from" : "Argentina", "to" : "Venezuela" }
 
  { "_id" : "South America", "from" : "Argentina", "to" : "Venezuela" }
 +
</syntaxhighlight>
 
<pre class="def"><nowiki>
 
<pre class="def"><nowiki>
 
db.world.aggregate([
 
db.world.aggregate([
Line 177: Line 187:
 
       _id: 1
 
       _id: 1
 
   }}
 
   }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{$sort:{name:1}},{$group:{_id:'$continent',from:{$first:'$name'},to:{$last:'$name'}},},{$sort:{_id:1}}])</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{$sort:{name:1}},{$group:{_id:'$continent',from:{$first:'$name'},to:{$last:'$name'}},},{$sort:{_id:1}}])
 
</nowiki></pre>
 
 
</div>
 
</div>
 +
 
==Countries beginning with...==
 
==Countries beginning with...==
 
<div class="q" data-lang="mongo">
 
<div class="q" data-lang="mongo">
Line 189: Line 197:
  
 
You will need to use the '''$substr''' function and the '''$push''' aggregate function.
 
You will need to use the '''$substr''' function and the '''$push''' aggregate function.
<pre><nowiki>
+
<syntaxhighlight lang="JavaScript">
 
  { "_id" : "U", "list" : [ "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan" ] }
 
  { "_id" : "U", "list" : [ "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan" ] }
 
  { "_id" : "V", "list" : [ "Vanuatu", "Vatican City", "Venezuela", "Vietnam" ] }
 
  { "_id" : "V", "list" : [ "Vanuatu", "Vatican City", "Venezuela", "Vietnam" ] }
 
  { "_id" : "Y", "list" : [ "Yemen" ] }
 
  { "_id" : "Y", "list" : [ "Yemen" ] }
 
  { "_id" : "Z", "list" : [ "Zambia", "Zimbabwe" ] }
 
  { "_id" : "Z", "list" : [ "Zambia", "Zimbabwe" ] }
</nowiki></pre>
+
</syntaxhighlight>
 
<pre class="def"><nowiki>
 
<pre class="def"><nowiki>
 
db.world.aggregate([
 
db.world.aggregate([
Line 200: Line 208:
 
     _id: '$name',
 
     _id: '$name',
 
     startsWith: {$substr: ['$name', 0, 1]}
 
     startsWith: {$substr: ['$name', 0, 1]}
   }},  
+
   }},
 
   {$match: {
 
   {$match: {
 
     _id: {$gte: 'U'}
 
     _id: {$gte: 'U'}
 
   }},
 
   }},
 
   {$sort: {_id: 1}}
 
   {$sort: {_id: 1}}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>db.world.aggregate([{$group:{_id:{$substr:['$name',0,1]},list:{$push:'$name'}}},{$match:{_id:{$gte:'U'}}},{$sort:{_id:1}}]);</nowiki></pre>
<pre class="ans"><nowiki>
 
db.world.aggregate([{$group:{_id:{$substr:['$name',0,1]},list:{$push:'$name'}}},{$match:{_id:{$gte:'U'}}},{$sort:{_id:1}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
 +
 
==Harder Questions==
 
==Harder Questions==
 
==Messing with continent names==
 
==Messing with continent names==
Line 220: Line 226:
 
     _id: {
 
     _id: {
 
       $cond: [
 
       $cond: [
         {$eq: ["$continent", "North America"]},  
+
         {$eq: ["$continent", "North America"]},
 
         "America",
 
         "America",
 
         {$cond: [
 
         {$cond: [
Line 230: Line 236:
 
     },
 
     },
 
     area: {$sum: "$area"}
 
     area: {$sum: "$area"}
   }},  
+
   }},
 
   {$sort: {area: -1}},
 
   {$sort: {area: -1}},
 
   {$project: {
 
   {$project: {
Line 236: Line 242:
 
     area: 1
 
     area: 1
 
   }}
 
   }}
]);
+
]);</nowiki></pre>
</nowiki></pre>
+
<pre class="ans"><nowiki>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}}]); </nowiki></pre>
<pre class="ans"><nowiki>
 
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}}]);
 
</nowiki></pre>
 
 
</div>
 
</div>
  
==Messing with continent names 2==
+
==Country populations by order of magnitude==
 
<div class="q" data-lang="mongo">
 
<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 number of countries in each order.
 +
 
 +
For example UK has a population of 64,105,700 so it belongs in the 10,000,000 bucket.
 +
 
 +
You will need the functions $floor, $log10 and $pow
 +
 
 
<pre class="def"><nowiki>
 
<pre class="def"><nowiki>
 
db.world.aggregate([
 
db.world.aggregate([
Line 255: Line 263:
 
         name: 1
 
         name: 1
 
     }}
 
     }}
 +
]);</nowiki></pre>
 +
<pre class="ans"><nowiki>db.world.aggregate([
 +
    {$project: {name:1,l10:{$pow:[10,{$floor:{$log10:"$population"}}]}}},
 +
    {$group:{_id:"$l10",c:{$sum:1}}},
 +
    {$sort:{_id:1}}
 
]);
 
]);
</nowiki></pre>
 
<pre class="ans"><nowiki>
 
db.world.aggregate([{"$match":{"name":{"$regex":"^N"}}},{"$project":{"_id":0,"name":1,"continent":{"$cond":[{"$eq":["$continent","Oceania"]},"Australasia","$continent"]}}}]);
 
</nowiki></pre>
 
</div>
 
 
==Messing with continent names 3==
 
<div class="q" data-lang="mongo">
 
Show the <b>name</b> and the <b>continent</b> but:<br/><br/>
 
*substitute <b>Eurasia</b> for <b>Europe</b> and <b>Asia</b>.<br/>
 
*substitute <b>America</b> - for each country in <b>North America</b> or <b>South America</b> or <b>Caribbean</b>.<br/><br/>Only show countries beginning with <b>A</b> or <b>B</b><br/>
 
If you're struggling you may want to experiment with <code>$and</code>,<code>$or</code>, etc.
 
<pre class="def"></pre>
 
<pre class="ans"><nowiki>
 
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"]}]}}}]);
 
</nowiki></pre>
 
</div>
 
 
==Messing with continent names 4==
 
<div class="q" data-lang="mongo">
 
Put the continents right...
 
<br/><br/>
 
*<b>Oceania</b> becomes <b>Australasia</b><br/>
 
*Countries in <b>Eurasia</b> and <b>Turkey</b> go to <b>Europe/Asia</b><br/>
 
*<b>Caribbean</b> islands starting with '<b>B</b>' go to <b>North America</b>, other Caribbean islands go to <b>South America</b><br/>
 
<br/><br/>
 
<b>Show the name, the original continent and the new continent of all countries.</b>
 
<pre class="def"></pre>
 
<pre class="ans"><nowiki>
 
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"]}]}]}]}}}]);
 
 
</nowiki></pre>
 
</nowiki></pre>
 
</div>
 
</div>

Latest revision as of 22:53, 31 March 2021

Country Profile

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

You may find these AGGREGATE examples useful.

$group on continent

The aggregate method allows a $group - you must specify the _id and you can use aggregating functions such as $sum $min $max $push

The sample code shows the total population of each continent.

Show the number of countries in each continent.
db.world.aggregate({
  $group: {
    _id: '$continent',
    res: {
      $sum: '$population'
    }
  }
});
db.world.aggregate({
  $group: {
    _id: '$continent',
    res: {
      $sum: 1
    }
  }
});

Per Capita GDP

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

Population Density in South America

Give the name and the population density of all countries in South America.

population density is the population divided by the area

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

db.world.aggregate([
    {$match: {continent: 'Asia'}},
    {$project: {
        _id: 0,
        name: 1,
        density: {$divide: ["$population", "$area"]}
    }}
]);
db.world.aggregate([{$match:{continent:'South America'}},{$project:{_id:0,name:1,density:{$divide:["$population","$area"]}}}]);

Population Density for "V"

Give the name and the population density of all countries with name after V in the alphabet.

Note that because Vatican City (with area 0) is in Europe you will get a divide by zero error unless you filter first.

Use a $match.

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

Population in millions

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]}}}]);

Population density

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"]}}}]);

Continents by 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}}]);

Big Continents

Show the only two continents with total area greater than 25000000 and then sort from largest to smallest.

db.world.aggregate([
  {$match: {
      continent: "North America"
  }},
  {$project: {
      _id: 0,
      name: 1
  }}
]);
db.world.aggregate([{$group:{_id:"$continent",area:{$sum:"$area"}}},{$sort:{area:-1}},{$match:{area:{$gt:25000000}}}]);

First and last country by continent

For each continent show the first and last country alphabetically like this:

 { "_id" : "Africa", "from" : "Algeria", "to" : "Zimbabwe" }
 { "_id" : "Asia", "from" : "Afghanistan", "to" : "Yemen" }
 { "_id" : "Caribbean", "from" : "Antigua and Barbuda", "to" : "Trinidad and Tobago" }
 { "_id" : "Eurasia", "from" : "Armenia", "to" : "Russia" }
 { "_id" : "Europe", "from" : "Albania", "to" : "Vatican City" }
 { "_id" : "North America", "from" : "Belize", "to" : "United States" }
 { "_id" : "Oceania", "from" : "Australia", "to" : "Vanuatu" }
 { "_id" : "South America", "from" : "Argentina", "to" : "Venezuela" }
db.world.aggregate([
  {$group: {
      _id: "$continent"
  }},
  {$sort: {
      _id: 1
  }}
]);
db.world.aggregate([{$sort:{name:1}},{$group:{_id:'$continent',from:{$first:'$name'},to:{$last:'$name'}},},{$sort:{_id:1}}])

Countries beginning with...

Group countries according to the first letter of the name. As shown. Only give "U" through to "Z".

You will need to use the $substr function and the $push aggregate function.

 { "_id" : "U", "list" : [ "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan" ] }
 { "_id" : "V", "list" : [ "Vanuatu", "Vatican City", "Venezuela", "Vietnam" ] }
 { "_id" : "Y", "list" : [ "Yemen" ] }
 { "_id" : "Z", "list" : [ "Zambia", "Zimbabwe" ] }
db.world.aggregate([
  {$project: {
    _id: '$name',
    startsWith: {$substr: ['$name', 0, 1]}
  }},
  {$match: {
    _id: {$gte: 'U'}
  }},
  {$sort: {_id: 1}}
]);
db.world.aggregate([{$group:{_id:{$substr:['$name',0,1]},list:{$push:'$name'}}},{$match:{_id:{$gte:'U'}}},{$sort:{_id:1}}]);

Harder Questions

Messing with continent names

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}}]); 

Country populations by order of magnitude

Show the number of countries in each order.

For example UK has a population of 64,105,700 so it belongs in the 10,000,000 bucket.

You will need the functions $floor, $log10 and $pow

db.world.aggregate([
    {$match: {
        name: {$regex: "^N"}
    }},
    {$project: {
        _id: 0,
        name: 1
    }}
]);
db.world.aggregate([
    {$project: {name:1,l10:{$pow:[10,{$floor:{$log10:"$population"}}]}}},
    {$group:{_id:"$l10",c:{$sum:1}}},
    {$sort:{_id:1}}
]);