Last week we’ve released the first version of our new deployment tool for cloud computing platforms with Digital Ocean support. (Edit: now also available: Amazon Web Services) Today we show how to deploy an ArangoDB cluster on Google Compute Engine with a single command.

Google Compute Engine

To easy-deploy an ArangoDB cluster on Google Compute Engine you just need to install the official gcloud tool, download a single bash script and watch the tool take care of the rest for you.

wget https://raw.githubusercontent.com/ArangoDB/deployment/publish/GoogleComputeEngine_ArangoDB_Cluster.sh chmod..

How often did you typed

var db = require("internal").db;

in the arangod console?

If you are familiar with the arangosh JavasScript shell than you probably use a custom .arangosh.rc startup script in your home-directory which defines your own extra variables and functions that you need often.

I often find myself searching for certain commits using git log and friends. While I really love the power and flexibility that come with the git and other Unix command-line tools, sometimes it can be more convenient to use a database to filter and aggregate commit data.

I gave it a quick try yesterday and imported the commit history of ArangoDB’s Git repository into ArangoDB and ran some queries on the data.

docker run -p 8529:8529 arangodb/arangodb

I’ve created an automated build repository on docker, so that you can easily start a docker container with the latest stable release. If you miss anything in the container, please let me know. Thanks to frodenas, hipertracker, joaodubas, webwurst who also created dockerfiles.

ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient sql-like query language or JavaScript extensions.

Start a ArangoDB instance

In order to start an ArangoDB instance..

It’s new – and just for you! With the new ArangoDB Cookbook we want to guide you thru various challenges that might arise in your daily business with NoSQL – and ArangoDB in particular.

You have a problem with or need an introduction to NoSQL data modeling / scaling ArangoDB / building Foxx apps / graph processing or something related to your favorite programming language? Then have a look if there’s a recipe match in the Cookbook!

Create your own recipes and help others in the ArangoDB community. We appreciate every participation that makes the cookbook a valuable source for ArangoDB users...

After defining a graph and filling it with some vertices and edges (see part 1), the time has come to retrieve information out of the graph.

Please take a look at the defined graph operations of ArangoDB. These will be the base for our next examples. (Yes, there may be other ways to get the results, this post does not claim completeness!)

We will start with some easy stuff and then smoothly advance in complexity.

Question: “How many edges are defined within the graph?”

Answer:

First we have to define an AQL-query:

String query = "for i in GRAPH_EDGES('Academical', null) return i";

In our..

With ArangoDB 2.2 the new graph API was released featuring multi collection graphs (see blog). With the new version (2.2.1) of arangodb-java-driver the new graph API is supported. In the following you can find a small example of creating a graph with Java.

For the import via maven and configuring the driver, please read the Basics and Driver Setup. For the following we assume, that arangodbDriver is a configured instance of the driver.

So let’s start the whole thing…

In the database we need a graph containing collections for the vertices and edges (defined in edge definitions).

The current arangodb-java-driver supports the usage of ArangoDB’s batch and asynchronous interface. This post will guide you through the usage of these features.

The batch interface

The batch interface enables the user to stack a series of calls and execute them in a batch request. Each stacked request returns a request id that can be used to retrieve the single results from the batch response. So how do you use this feature in the java driver ?

First we create an instance of the java driver:

ArangoConfigure configure = new ArangoConfigure(); configure.init(); ArangoDriver driver = new..

I was interested in how bash auto-completion works and how to write a custom completer. After about an hour of work, I came up with a solution that at least seems to work on Ubuntu. I now have auto-completion for ArangoDB and all its client tools!

Though we provide a lot of pre-built packages for the stable versions of ArangoDB here, it is often more interesting to play with the bleeding edge development version. New ArangoDB features are normally added to the devel branch, where they can be tested, documented and improved. When a feature matures, it is either backported to a stable branch or will eventually be released when the next stable branch is forked from devel.