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