Created
January 19, 2012 23:48
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mongo map reduce vs query speed test
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| // map reduce way is slow for querying a count, but fast for creating a new table (~20s) | |
| map = function() { | |
| if (this.alerts && this.alerts.length > 0 && this.apns) { | |
| emit(new ObjectId(), {alerts: this.alerts, uuid: this.uuid, hiddenChannels: this.hiddenChannels, provider: this.provider}) | |
| } | |
| } | |
| reduce = function(){} | |
| options = {out:{replace:"alertingUsers"}} | |
| db.users.mapReduce(map, reduce, options) | |
| db.alertingUsers.count() // 34554 | |
| // really fast queries / counts (~1s) | |
| db.users.count({alerts:{$exists:true, $not: { $size: 0 }}, apns:{$exists:true}}) // 34554 | |
| // but makes for really slow inserts (~5 minutes) | |
| db.users.find({alerts:{$exists:true, $not: { $size: 0 }}, apns:{$exists:true}}, {hiddenChannels: 1, apns: 1, _id: 0, alerts: 1, uuid: 1, provider: 1}).forEach(function(user) { | |
| db.alertingUsersSlow.insert(user) | |
| }) | |
| db.alertingUsersSlow.count() // 34554 |
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