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/*
In order to run this, you need to have a local copy of the usage data.
One way to do this is to dump and restore it using mongodump and mongorestore
*/
db = db.getSiblingDB( "mongousage" )
function rollupMap() {
emit( this._id.t , { total : this.value , unique : 1 } )
}
function rollupReduce(key, values) {
var res = { total : 0 , unique : 0 };
for ( var i=0; i<values.length; i++ ){
res.total += values[i].total;
res.unique += values[i].unique;
}
return res;
}
function mrrollups() {
res = db.gen.monthly.ip.mapReduce( rollupMap , rollupReduce ,
{ out : "gen.monthly" } )
res.find().sort( { _id : -1 } ).forEach( printjsononeline )
res = db.gen.weekly.ip.mapReduce( rollupMap , rollupReduce ,
{ out : "gen.weekly" } )
res.find().sort( { _id : -1 } ).forEach( printjsononeline )
}
function rollupMonthlyMR() {
resMonthlyMR = db.gen.monthly.ip.mapReduce( rollupMap , rollupReduce ,
{ out: { inline : 1 }} )
}
function rollupWeeklyMR() {
resWeeklyMR = db.gen.weekly.ip.mapReduce( rollupMap , rollupReduce ,
{ out : {inline : 1 }} )
}
function rollupMonthlyA() {
resMonthlyA = db.runCommand( { aggregate: "gen.monthly.ip", pipeline : [
{ $group : {
_id : { month: "_id.t" },
total : { $sum : "$value" },
unique : { $sum : 1 }
}}
]});
}
function rollupWeeklyA() {
resWeeklyA = db.runCommand( { aggregate: "gen.weekly.ip", pipeline : [
{ $group : {
_id : { month: "_id.t" },
total : { $sum : "$value" },
unique : { $sum : 1 }
}}
]});
}
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