51 lines
1.4 KiB
JavaScript
51 lines
1.4 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, {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, {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, {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, {out: {inline: 1}});
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}
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function rollupMonthlyA() {
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resMonthlyA = db.runCommand({
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aggregate: "gen.monthly.ip",
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pipeline: [{$group: {_id: {month: "_id.t"}, total: {$sum: "$value"}, unique: {$sum: 1}}}]
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});
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}
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function rollupWeeklyA() {
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resWeeklyA = db.runCommand({
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aggregate: "gen.weekly.ip",
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pipeline: [{$group: {_id: {month: "_id.t"}, total: {$sum: "$value"}, unique: {$sum: 1}}}]
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});
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}
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