In January I wrote my first post about node.js and MariaDB . In February I continued with a second post about using jQuery and some GIS calculations. Now it is time for the third and this time the main focus is not so much on GIS functionality, but instead on the capabilities MariaDB has for handling piles of unstructured data. In this case I’ll be focusing on crunching a pile of XML files without importing the XML data itself.
I’ve continued building on my MariaDB GIS and node.js example application that I wrote about two weeks back, https://blog.mariadb.org/node-js-mariadb-and-gis/. The application shows how to load GPX information into MariaDB, using some MariaDB GIS functionality, and making use of the node.js platform together with MariaDB’s non-blocking client.
With the GPX data converted into GIS points in the MariaDB database, I wanted to further expand a little on both the GIS aspect and also look at how some additional data could be shown in the application by using jQuery’s Ajax calls to update a piece of the web based application UI.
The availability of the node.js binding for MariaDB’s non-blocking client library together with the GIS capabilities of MariaDB inspired me to make an example of using node.js and MariaDB to import so-called GPX tracks to a MariaDB database and then show them on a map. GPX tracks are what are stored by many GPS devices including running watches and smartphones.
My project makes use of MariaDB’s non-blocking client library together with the node.js platform and on top of that uses the GIS functionality found in MariaDB 5.5 and 10.0.
To start with let’s go through the software and components I’m using:
Last Summer I implemented a non-blocking client API in MariaDB, and it was included in the MariaDB 5.5 release. But somehow I never got around to announcing it.
However, that did not prevent Brian White from noticing it, and using it to implement a new mysql binding for node.js called mariasql.
Now, node.js is a single-threaded, event-driven framework for web application sever development. In such frameworks, all I/O is done non-blocking or asynchronously, as are all other actions that may need to wait for external events. There is a single event loop which uses a poll() or similar system call to wait for any pending I/O or other event to complete, and then dispatches the appropriate event handler(s). …