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03:42 <jeffreylevesque> my gentlemen
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03:47 <jeffreylevesque> trying to install mongodb - https://github.com/jeff1evesque/machine-learning/blob/a98b344d6233172d71c7b0d50ab8a88abd259016/puppet/environment/vagrant/modules/mongodb_cluster/manifests/shard1.pp
03:49 <jeffreylevesque> trying to follow - https://github.com/puppetlabs/puppetlabs-mongodb/blob/master/README.md#usage
03:49 <jeffreylevesque> just wondering if someone could provide me feedback, since I've never used mongodb before
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09:40 <klf> Problem: I have a Ratings collection, and a MovieTitle collection in which there is an avgRating field.
09:41 <klf> I don't want use an aggregate function to compute this avgRating, b/c it's computationally intensive.
09:43 <klf> is there a way to dynamically update this avgField, only when there's a new rating inserted?
09:43 <klf> s/intensive/expensive/
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09:46 <klf> perhaps compute avgRating at insertion time?
09:47 <klf> If there's some builtins that can make this easier I'd like to know what they are.
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11:01 <thewall> Hi. I am planning the deployment of a sharded mongodb cluster for sensor data. I want ranged sharding and I am choosing a shard key like this: { device_id: 1, date: 1 }. Anyway, my device ids are strings. Can I use a text filed in the shard key?
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11:13 <RxMcDonald> Hi, what is the operation for adding a new record in a subdocument if one of the fields in the subdocument doesn't match the one being passed?
11:14 <RxMcDonald> i.e. add new value in subdoc if value isn't there, or just have unique values
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11:53 <RxMcDonald> I think I'm not getting the $push part correctly
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14:34 <jrmg> Hi all! I've got a bunch of files (csv and xls among other formats) that I would like to merge & import into a mongodb collection. Most of the files don't have the same keys / columns names, so need to "join" them manually. I've spent last hours looking for things like tableau and obdc drivers.
14:35 <jrmg> Was wondering if you guys hav ever been in a similar situation or if you have any suggestions on how to import such files.
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17:11 <jeffreylevesque> anyone here recently install mongodb?
17:11 <jeffreylevesque> i'm trying to configure it for the first time
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17:14 <jeffreylevesque> was wondering if someone could tell me if i've done anything wrong
17:14 <jeffreylevesque> https://github.com/jeff1evesque/machine-learning/blob/a98b344d6233172d71c7b0d50ab8a88abd259016/puppet/environment/vagrant/modules/mongodb_cluster/manifests/shard1.pp
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20:08 <jr3> can I perform a projection that does a mathmatical operation on two fields and then return the result as a new field?
20:09 <jr3> {$project:{skill: prop1 - (3*prop2) }}
20:09 <jr3> something like that
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20:17 <jr3> CSE: {$subtract:["$games.1.skill.mean", {$multiply:["$games.1.skill.standardDeviation", 3]}]}} -- ok that works
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22:42 <Ankhers> What would be the suggested way to do some sort of many to many relationship in Mongo? I can't seem to find any sort of agreement on a best practice.
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