Electron Build Sqlite3 For Windows On Mac

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Electron (is a framework for developing cross-platform desktop. Mac application that plays Pandora music using Elm and Electron!!! Time a month ago trying to figure out how to get sqlite to work with Electron. Accessed via the hamburger icon is non-functional window dressing.

Throughout this tutorial, we are going to explore different approaches for persisting and retrieving data in cross-platform desktop applications, built using the Electron platform and web technologies. We'll see how to use popular SQL and NoSQL databases like MySQL, SQLite, SQLite3, MongoDB and NeDB. And ORMs like Sequelize to perform CRUD operations in Electron apps. We'll also cover how to install the required tools, write some sample code, and then see some pros and cons of each approach. But first, lets start with an introduction to Electron, for those who are not yet familiar with it.

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An Introduction to Electron Electron was released by Github, back in 2013, allowing web developers to use their existing front-end skills with JavaScript, CSS and HTML to build native-like cross-platform desktop apps for Windows, MAC and Linux with a single code base. Electron is based on Google Chromium project and Node.js platform, which means you have an embedded browser with latest web standards (thanks to Chromium) and the whole Node.js modules, available from NPM, at your disposal.

Since Electron is basically a web browser, you can take advantage of the most modern client side frameworks and libraries, such as Angular and React, to build apps not just for the web but for the desktop too. If you have any doubts about Electron, and if it's really changing the way we are developing desktop applications, ignoring the fact that big companies and even Microsoft are using it (You shouldn't), you can simply check the NPM statistics related to the use of Electron from this.

And also the ongoing list of apps created using Electron from this Persisting Data in Electron Apps First of all, why would you want to do that i.e. Persist data? In most cases an application needs to persist data, for many reasons such as: • Saving user defined settings: There exist many application wide settings or parameters which are different from a user to another and therefor, they need to be set by end users and persisted by some mechanism to avoid losing them between application restarts. • Saving domain specific data: In data extensive applications such as enterprise apps, data is the centric element so persistence and retrieval is a crucial feature. This kind of apps needs data storage for keeping track of information or for further processing and analysis. • Adding off-line support: If your application depends on on-line data, and you maybe want to add off-line support then you also need to integrate some mechanism to persist data locally. • Implementing caching: There may be some situations when you need to add some sort of disk caching for network data to your application.e.g.

In order to optimize app loading time, using an embedded database such as SQLite. Thinking about how to persist data is a key step when developing applications, desktop apps make no exception.

The way you use to handle data in your application affects your app performance and as a result the final user experience. There is a plethora of available mechanisms, for persisting data, ranging from flat files, key-value stores to SQLite and fully fledged database systems such as MySQL, PostgreSQL and Microsoft SQL Server etc. You can use simple classic storage mediums such as flat files, embedded databases, relational database systems or NoSQL databases. It's completely your call but you need to take into consideration your app requirements, and the pros and cons of each approach to make the right decision. How to Choose the Best Way of Persisting Data in Your Electron Apps?

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Nearly all kind of apps need some sort of data storage and retrieval but not every approach is suitable for all use cases, e.g. If you just need to store some configuration data or user defined settings then a flat file or a key-value store such as the HTML5 localStorage, or the HTML5 NoSQL IndexedDB can be very useful and simple mechanisms for this kind of tasks. LocalStorage API is quite easy to use.

For IndexedDB, the API is a little bit complex but you can use it with wrapper libraries such as Dexie.js which has a simple and clear API. If you need to persist domain specific data, with a simple structure i.e.

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With few relationships between different data entities and few attributes, then SQLite or a similar embedded database solution is the right choice for these use cases. In the case that you are building a complex database application or a data heavy application, with multiple tables and relationships, Using raw SQL can be intimidating and error prone. As so an ORM will be of a great help for you, by allowing you to easily express your database requirements and letting you focus on the business domain side of your application. There exist many JavaScript/TypeScript ORMs that integrate well with Electron ecosystem such as Sequelize, Bookshelf.js and the relatively new TypeORM (based on TypeScript). There are two major types of databases: relational databases and NoSQL databases. The right database type to use depends heavily on these two points: The nature and structure of your database, and the synchronization requirements. But which are the criteria to use one database type over the other?