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: { | ||
+ | $sum: 1 | ||
+ | } | ||
+ | } | ||
+ | }); | ||
+ | </nowiki></pre> | ||
+ | </div> | ||
+ | |||
==Per Capita GDP== | ==Per Capita GDP== | ||
<div class="q" data-lang="mongo"> | <div class="q" data-lang="mongo"> | ||
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You will need to use the '''$substr''' function and the '''$push''' aggregate function. | You will need to use the '''$substr''' function and the '''$push''' aggregate function. | ||
− | < | + | <syntaxhighlight lang="JavaScript"> |
{ "_id" : "U", "list" : [ "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan" ] } | { "_id" : "U", "list" : [ "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan" ] } | ||
{ "_id" : "V", "list" : [ "Vanuatu", "Vatican City", "Venezuela", "Vietnam" ] } | { "_id" : "V", "list" : [ "Vanuatu", "Vatican City", "Venezuela", "Vietnam" ] } | ||
{ "_id" : "Y", "list" : [ "Yemen" ] } | { "_id" : "Y", "list" : [ "Yemen" ] } | ||
{ "_id" : "Z", "list" : [ "Zambia", "Zimbabwe" ] } | { "_id" : "Z", "list" : [ "Zambia", "Zimbabwe" ] } | ||
− | </ | + | </syntaxhighlight> |
<pre class="def"><nowiki> | <pre class="def"><nowiki> | ||
db.world.aggregate([ | db.world.aggregate([ | ||
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}} | }} | ||
]);</nowiki></pre> | ]);</nowiki></pre> | ||
− | <pre class="ans"><nowiki>db.world.aggregate([{"$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> | ||
− | == | + | ==Country populations by order of magnitude== |
<div class="q" data-lang="mongo"> | <div class="q" data-lang="mongo"> | ||
− | Show the | + | 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 $pow | ||
+ | |||
<pre class="def"><nowiki> | <pre class="def"><nowiki> | ||
db.world.aggregate([ | db.world.aggregate([ | ||
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}} | }} | ||
]);</nowiki></pre> | ]);</nowiki></pre> | ||
− | <pre class="ans"><nowiki>db.world.aggregate([ | + | <pre class="ans"><nowiki>db.world.aggregate([ |
− | + | {$project: {name:1,l10:{$pow:[10,{$floor:{$log10:"$population"}}]}}}, | |
− | + | {$group:{_id:"$l10",c:{$sum:1}}}, | |
− | + | {$sort:{_id:1}} | |
− | + | ]); | |
− | + | </nowiki></pre> | |
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</div> | </div> | ||
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Latest revision as of 22:53, 31 March 2021
Contents
- 1 Country Profile
- 2 $group on continent
- 3 Per Capita GDP
- 4 Population Density in South America
- 5 Population Density for "V"
- 6 Population in millions
- 7 Population density
- 8 Continents by area
- 9 Big Continents
- 10 First and last country by continent
- 11 Countries beginning with...
- 12 Harder Questions
- 13 Messing with continent names
- 14 Country populations by order of magnitude
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.
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}} ]);