![]() ![]() The difference here is that you need to specify the file location and load the data. Or the other option is to save the data to a file. ![]() Although it's great for use during testing or shorter sessions (like in the browser). This will start you out with no data, and when you quit the application all of the saved data will be lost. The first option is to save the data in memory: With NeDB, you have a few options for saving your data. However, in this case there is no external application to connect to, so instead we just need to tell it the location of your data. Like all database clients, the first step is to connect to the backend database. If you're planning on using it in the browser instead, use Bower to install: $ bower install nedb The module is written in pure JavaScript, so there shouldn't be any issues compiling native add-ons like there sometimes are with the MongoDB drivers. Getting Started with NeDBįirst, install the module with NPM: $ npm install nedb -save Note: As of v1.8.0, NeDB hasn't yet updated to some of Mongo's new method names, like insertOne, insertMany and the removal of findOne. One of the greatest things about NeDB specifically is that its API is a subset of the MongoDB API, so if you're familiar with MongoDB then you should have no problem working with NeDB after the initial setup. For comparison, the MySQL tar file (for Mac OSX) is 337MB, while NeDB (uncompressed, not minified) is only about 1.5MB. This helps reduce the overall footprint of the database on the system, which is perfect for smaller applications. Instead of being a smaller SQL datastore, NeDB is a smaller NoSQL datastore that mimics MongoDB.Ī lightweight database usually stores its data either in memory or in a plain text file (with indexes for fast look-ups). NeDB is much like SQLite in that it is a smaller, embeddable version of a much larger database system. This makes more sense because your app won't be serving thousands of users or handling gigabytes of data. ![]() Another option is to just not cache the data locally and make a call to the API sever each time you need more data, but then your app will be less responsive and will use up much more network data.Ī better idea is to use an embedded/lightweight database, like NeDB. So what do you do? One option is to store all of this data in a file somewhere and just search it every time you need to retrieve it, but this can be inefficient. You could potentially have thousands of messages, all of which would need to be stored for easy access and searching. While the chat data (messages, contacts, history, etc) would likely originate from an API server, it would need to be stored locally within the app as well. While these are all great choices for storing data, they're all over-powered for the majority of applications.Ĭonsider a desktop chat application written with the Electron framework in JavaScript. It uses a straightforward SQL syntax, making it accessible to developers who may not have extensive database administration experience.When you think of a database the first things that might come in to your head might be MySQL, MongoDB, or PostgreSQL.
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