Difference between revisions of "MAPREDUCE Tutorial"
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It is recommended to have some familiarity with JavaScript before attempting the following questions: | It is recommended to have some familiarity with JavaScript before attempting the following questions: | ||
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Revision as of 14:45, 17 October 2018
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:
JavaScript: Fundamentals
JavaScript | 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(_,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(_,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(_,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(_,v){return Array.sum(v)},{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(_,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(_,v){let r={first:'ZZZ',last:'AAA'};for(let i=0;i<v.length;i++){if(r.first>v[i].first){r.first=v[i].first} if(r.last<v[i].last){r.last=v[i].last}} return r},{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(_,v){return v},{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(_,v){let r={first:'ZZZ',last:'AAA',count:0};for(let i=0;i<v.length;i++){if(r.first>v[i].first){r.first=v[i].first};if(r.last<v[i].last){r.last=v[i].last};r.count+=1} return r},{finalize:function(_,v){if(!v.count){v.count=1} return v},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 p=this.population;switch(!0){case p<1000000:emit("0 TO 1000000",1);break;case p<2000000:emit("1000000 TO 2000000",1);break;case p<3000000:emit("2000000 TO 3000000",1);break;case p<5000000:emit("3000000 TO 5000000",1);break;case p<10000000:emit("5000000 TO 10000000",1);break;case p<15000000:emit("10000000 TO 15000000",1);break case p>15000000:emit("MORE THAN 15000000",1);break}},function(_,v){return Array.sum(v)},{out:{inline:1}});
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