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On Tue, Jul 22, 2014 at 10:29 AM, Daniel Drehmann <
[email protected]> wrote:

> Hello. I am new to mongodb and mongoose and therefore I have some
> performance/improvement questions. In the past I did some applications with
> databases where performance was never an issue, but in my current project
> it is. It is a real time analytics tool.There I need to make very often
> updates (where I only insert small pieces of values to an array) and very
> few read operations.
>
> In my project I have the following schema for mongoose:
>
>   var datawrapperSchema = new mongoose.Schema({
>     name: {
>         type:String,
>         required: true
>     },
>     origin_id: {
>         type:String,
>         required: true,
>         unique: true
>     },
>     datasets : [{
>         key : { type:String },
>         type : { type:String },
>         values : [{
>                 value: String,
>                 timestamp: String,
>                 level: String
>             }]
>          }]
>   });
>
>
> As you can see an array of datasets is nested in my datawrapper and an
> array of values is nested in my datasets. Is this good practice or should I
> try to separate the schemas for performance?
>
> Now I want to update very often the values in my datasets. I think for a
> faster update performance I should use separated schemas to address the
> datasets directly. I noticed that the roundtrip time (from client to
> backend,write update in db, and back to frontend) increases in time. The
> first roundtrip times are 40 ms and after 5 minutes they are around 200 ms.
> Is can't imagine that this should be normal.
>
> Another problem is that my read operations on datawrappers which get
> updates are really slow. I heard of an global lock and write>read, but how
> to solve this?
>
> Thanks for your help!
>
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