// C# examples coming soon
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Add mishmash io to your project:
Import and instantiate:
You are now connected and mishmash will ‘hold’ all your data as if it was in the local memory of your app.
Additional information:Note
There is no API or framework beyond the simple use of ‘local’ to your app ‘mishmash’ variables.
To store data, just assign values, arrays and objects to the properties of a mishmash variable:
That’s it - your data is stored and available for later use under mishmash.myObjects.
Additional information:Note
As a database, mishmash io has no schema. It just uses whatever ‘schema’ you create by the way you organize and store your data.
To pull data into your app, just loop over a mishmash variable:
The body of the for loop will now operate on your app server with
data arriving from the mishmash io cluster. However, remember that
this will only run at the speed of your app server and network.
Additional information:Tip
To make your code run faster than that, see the advanced examples below.
When building ‘mishmashes’ - those portions of the data that your code needs to work on - you don’t have to strictly follow the hierarchy of properties, members and indexes that you created when you stored the data.
To simplify your work, you can grab the data items at any level:
And you can build mishmashes by putting together or slicing apart completely unrelated branches of your data:
Additional information:Note
There’s much more that you can do to build mishmashes - scroll down to find out more.
To achieve super-fast execution of complex logic, don’t pull data
into the app - instead, push your code into the mishmash io cluster:
The supplied function will now be automatically optimized and ‘executed’ in parallel across all cluster nodes that contain portions of myObjects and any other input.
Additional information:Note
The code is transformed into a ‘parallel’ equivalent by combining syntax analysis and knowledge of input data.
Learn mishmash io through examples.
We developed a little app that analyzes football data to automatically find interesting statistics about the next match.
The details on how we did it are a great place to get started with mishmash io.
Additional information:This section is being updated
We’re currently working on adding more examples.
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