MAPREDUCE Tutorial
MapReduce the basics
This tutorial introduces the MapReduce
command.
MapReduce examples are available.
- Together they can solve a huge range of common database queries.
- They can be distributed effectively; you can share the work load among a number of processors and get your answer faster.
It is recommended to have some familiarity with JavaScript before attempting the following questions: | MDN
Map
The map function can be used to filter and transform the data:
Use a map function to get the names of countries in Europe.
db.world.mapReduce( function(){ if (this.continent === "Europe"){ emit(this.name, null); } }, function(k, v){ return v; }, {out:{inline:1}} )
db.world.mapReduce( function(){if (this.continent=="Europe"){emit(this.name,null);}}, function(k, v){ return v; }, {out:{inline:1}} )
Use the previous answer to find the population of the world to the nearest million.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){emit('World Population in Millions', this.population)}, function(key, values){ return Math.round(Array.sum(values)/1000000)*1000000; }, {out: {inline :1}} )
For each letter, determine how many country names begin with that letter.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){ emit((this.name).substring(0,1), 1)}, function(key, values){ return Array.sum(values); }, {out: {inline:1}} )
Show the number of countries in each continent.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){emit(this.continent, 1)}, function(key, values){ return Array.sum(values); }, {out: {inline :1}} )
Show the name and area of the smallest 3 countries by area. Ignore records where the area is 0 or null.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){emit(this.name, this.area);}, function(k, v){ return v;}, { limit: 3, out: {inline:1}, query: {"$and": [{"area": {"$ne": null}}, {"area": {"$ne": 0}}]}, sort: {"area": 1} } )
For each continent, find the first and last country alphabetically.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){emit(this.continent, {first:this.name, last:this.name});}, function(key, values){ let ret = {first:'ZZZ', last:'AAA'}; for(let i=0; i < values.length; i++){ if (ret.first > values[i].first) { ret.first = values[i].first; } if (ret.last < values[i].last) { ret.last = values[i].last; } } return ret; }, {out: {inline:1}} )
Return country names or capital cities that start with a letter 'M' as keys, use null as the value.
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){ if((this.name).startsWith('M')) {emit(this.name,null); } if((this.capital).startsWith('M')) {emit(this.capital,null); } }, function(key, values){ return values; }, {out: {inline :1}} )
For each letter in the alphabet, find the amount of cities and the cities that come first and last alphabetically. e.g.
{ "_id" : "B", "value" : { "first" : "Baghdad", "last" : "Bujumbura", "count" : 25 } },
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){ if(this.capital)emit((this.capital).substring(0,1), {first:this.capital, last:this.capital})}, function(key, values){ let ret = {first:'ZZZ',last:'AAA', count:0}; for(let i=0; i < values.length; i++){ if (ret.first>values[i].first) { ret.first = values[i].first }; if (ret.last<values[i].last) { ret.last = values[i].last }; ret.count += 1; } return ret; }, { finalize: function(key, val){ if(!val.count){ val.count = 1; } return val; }, out: {inline: 1} } )
Show country count for countries in the following ranges:
0 to 1000000 1000000 to 2000000 2000000 to 3000000 3000000 to 5000000 5000000 to 10000000 10000000 to 15000000 More than 15000000
db.world.mapReduce( function(){ emit(null, null); }, function(k, v){ return null; }, {out:{inline:1}} )
db.world.mapReduce( function(){ var pop = this.population; switch(true){ case pop<1000000: emit("0 TO 1000000", 1); break; case pop<2000000: emit("1000000 TO 2000000", 1); break; case pop<3000000: emit("2000000 TO 3000000", 1); break; case pop<5000000: emit("3000000 TO 5000000", 1); break; case pop<10000000: emit("5000000 TO 10000000", 1); break; case pop<15000000: emit("10000000 TO 15000000", 1); break case pop>15000000: emit("MORE THAN 15000000", 1); break; } }, function(key, values){ return Array.sum(values); }, {out: {inline: 1}} )