---
layout: container
title: Library - Example - Loading data from different sources using Backends
recline-deps: true
---
These set of examples will show you how you can load data from different
sources such as Google Docs or the DataHub using Recline.
Note: often you are loading data from a given source in
order to display it using the various Recline views. However, you can also
happily use this data with your own code and app and this is a very common
use-case.
Moreover, Recline is designed so you need only include the
backend and its dependencies without needing to include any of the dependencies
for the view portion of the Recline library.
## Overview
Backends connect Dataset and Documents to data from a specific 'Backend' data
source. They provide methods for loading and saving Datasets and individuals
Documents as well as for bulk loading via a query API and doing bulk transforms
on the backend.
You can instantiate a backend directly e.g.
{% highlight javascript %}
var backend = recline.Backend.ElasticSearch();
{% endhighlight %}
But more usually the backend will be created or loaded for you by Recline and all you need is provide the identifier for that Backend e.g.
{% highlight javascript %}
var dataset = recline.Model.Dataset({
...
},
'backend-identifier'
);
{% endhighlight %}
Backend identifiers
How do you know the backend identifier for a given Backend? It's just the name of the 'class' in recline.Backend module (but case-insensitive). E.g. recline.Backend.ElasticSearch can be identified as 'ElasticSearch' or 'elasticsearch'.
### Included Backends
* [memory: Memory Backend (local data)](docs/backend/memory.html)
* [elasticsearch: ElasticSearch Backend](docs/backend/elasticsearch.html)
* [dataproxy: DataProxy Backend (CSV and XLS on the Web)](docs/backend/dataproxy.html)
* [gdocs: Google Docs (Spreadsheet) Backend](docs/backend/gdocs.html)
* [csv: Local CSV file backend](docs/backend/csv.html)
Backend not on this list that you would like to see? It's very easy to write a new backend -- see below for more details.
## Preparing your app
This is as per the [quickstart](example-quickstart.html) but the set of files is much more limited if you are just using a Backend. Specifically:
{% highlight html %}
{% endhighlight %}
## Loading Data from Google Docs
We will be using the [following Google
Doc](https://docs.google.com/spreadsheet/ccc?key=0Aon3JiuouxLUdGZPaUZsMjBxeGhfOWRlWm85MmV0UUE#gid=0).
For Recline to be able to access a Google Spreadsheet it **must** have been
'Published to the Web' (enabled via File -> Publish to the Web menu).
Want a real world example? This
Open Data Census micro-app loads
data from Google Docs and then displays it on a specialist interface combining
a bespoke chooser and a Kartograph (svg-only) map.
{% highlight javascript %}
{% include example-backends-gdocs.js %}
{% endhighlight %}
### Result
## Writing your own backend
Writing your own backend is easy to do. Details of the required API are in the
[Backend documentation](docs/backend/base.html).