Anyone who has ever worked with our JavaScript framework Foxx was faced at some point with the challenge to install its Foxx service in its current ArangoDB instance or to replace the installed service with local code changes. This is not a big deal and can easily be done through ArangoDB’s WebUI. However, we developers always want to become more productive and clicking through a graphical UI is not the best way. Furthermore, this procedure is almost impossible to use in an automated deployment process. That’s why we decided to develop a node-based CLI tool to manage Foxx services, called ..
Estimated reading time: 4 minutes
Currently, querying ArangoDB with GraphQL requires building a GraphQL.js schema. This is tedious and the resulting JavaScript schema file can be long and bulky. Here we will demonstrate a short proof of concept that reduces the user related part to only defining the GraphQL IDL file and simple AQL queries.
The Apollo GraphQL project built a library that takes a GraphQL IDL and resolver functions to build a GraphQL.js schema. Resolve functions are called by GraphQL to get the actual data from the database. I modified the library in the way that before the resolvers are added, I read the IDL..
Estimated reading time: 2 minutes
Geo data is getting more and more important for today’s applications. The growing number of location-aware services, IoT applications and other solutions using latitude and longitude ask for precise and fast processing of geo data.
Let me show you in this quick demonstration how you can use geo functions and visualize your data using Foxx and leaflet.js.
Estimated reading time: 5 minutes
In July Adobe announced that they plan the End-of-Life for flash at around 2020.As HTML5 progressed and due to a long history of critical security vulnerabilities this is – technologically speaking – certainly the right decision. However I tended to also become a bit sad.
Flash was the first technology that brought interactivity to the web. We tend to forget how static the web was in the early 2000s. Flash brought life to the web and there were plenty of stupid trash games and animations which I really enjoyed at the time. As a homage to the age of trashy flash games I created a game which..
Estimated reading time: 6 minutes
We are pleased to announce the release of ArangoDB 3.2. Get it here. After an unusually long hackathon, we eliminated two large roadblocks, added a long overdue feature and integrated an interesting new one into this release. Furthermore, we’re proud to report that we increased performance of ArangoDB on average by 35%, while at the same time reduced the memory footprint compared to version 3.1. In combination with a greatly improved cluster management, we think ArangoDB 3.2 is by far our best work. (see release notes for more details)
One key goal of ArangoDB has always been to provide a..
Estimated reading time: 1 minutes
Just in time for the upcoming 3.2.0 release, we have updated the graphql-sync module for compatibility with graphql-js versions 0.7.2, 0.8.2, 0.9.6 and 0.10.1. The graphql-sync module allows developers to implement GraphQL backends and schemas in strictly synchronous JavaScript environments like the ArangoDB Foxx framework by providing a thin wrapper around the official GraphQL implementation for JavaScript.
Estimated reading time: 8 minutes
We’re excited to release today the beta of ArangoDB 3.2. It’s feature rich, well tested and hopefully plenty of fun for all of you. Keen to take it for a spin? Get ArangoDB 3.2 beta here.
With ArangoDB 3.2, we’re introducing the long-awaited pluggable storage engine and its first new citizen, RocksDB from Facebook
Estimated reading time: 2 minutes
The Challenge
Starting today we launch the ArangoDB #FoxxChallenge and the winner will receive a brand new Amazon Echo.
Use your knowledge about everyday needs in projects and create a Foxx service that could be helpful for others. If you need some inspiration here some ideas:
Estimated reading time: 4 minutes
Use-Case
The graph database use-case we are stepping through in this post is the following: In our web application we have several places where a user is led through a survey, where she decides on details for one of our products. Some of the options within the survey depend on previous decisions and some are independent.
Examples:
- Configure a new car
- Configure a new laptop
- Book extras with your flight (meal, reserve seat etc.)
- Configure a new complete kitchen
- Collect customer feedback via logic-jump surveys
We would like to easily offer a generic page which can be seeded with any..
Estimated reading time: 3 minutes
Most of us saw the fantastic movie 300 (I did it last night…again) or at least read the comics. 300 spartans barely wearing anything but achieving a lot. This little how-to will show you how to put ArangoDB into Spartan-Mode and thereby reduce memory-footprint and CPU usage.
Big thanks to Conrad from L.A. for his time and for giving us the impulse for this little how-to!
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