Documentation Archives - Page 2 of 3 - ArangoDB

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Improved System User Authentication

00Documentation, GeneralTags:

ArangoDB can easily be configured to require HTTP authentication for access to the web admin frontend or the REST API. But while Basic Auth works fine for APIs, the user experience in the web admin frontend was decidedly sub-par: browsers would often persist the authentication credentials indefinitely, logging out was made difficult or impossible and switching users was hit-or-miss.

The upcoming ArangoDB 2.6 release introduces cookie-based authentication for the web admin frontend, allowing you to side-step the issue altogether by using the built-in session manager instead of the low-level HTTP API authentication. More info

Create an ArangoDB cluster on Amazon Web Services (AWS)

01DocumentationTags:

During the last weeks we’ve released our new deployment tool for cloud computing platforms with how-to’s for Google Compute Engine and Digital Ocean support.

Today we show how to deploy an ArangoDB cluster on Amazon Web Services with a single command.

Amazon Web Services (AWS)

To easy-deploy an ArangoDB cluster on AWS you just need to install the official awscli, download a single bash script and watch the tool take care of the rest for you. Your aws account needs permission for creating instances, adding ssh-keypairs and managing security groups.

More info

Creating Multi-Game Highscore Lists

03API, Documentation, Query LanguageTags:

I just came across a question about how to create highscore lists or leaderboards in ArangoDB, and how they would work when compared to Redis sorted sets.

This blog post tries to give an answer on the topic and also detailed instructions and queries for setting up highscore lists with ArangoDB. The additional section “Extensions” explains slightly more advanced highscore list use cases like multi-game highscore lists, joining data and maintaining a “last updated” date.
More info

Create an ArangoDB cluster on Google Compute Engine with a single command

01DocumentationTags: ,

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.

Google Compute Engine prerequisites

The script needs an available and configured Google Project.

ProjectID
  • Create a project (GCE Projects).
  • Remember your project-id, you’ll need that later for gcloud configuration.
  • Enable Google Compute Engine API More info

Updating Documents with an Arangoimp Import

02Documentation, PerformanceTags:

Inspired by the feature request in Github issue #1298, we added update and replace support for ArangoDB’s import facilities.

This extends ArangoDB’s HTTP REST API for importing documents plus the arangoimp binary so they can not only insert new documents but also update existing ones.

Inserts and updates can also be mixed in a single import run. What exactly will happen is configurable by setting arangoimp’s new command-line option --on-duplicate.

By default, error will be reported if a document already exists. This behavior can be changed by setting --on-duplicate to a value of update, replace or ignore. Here is an example result of an import with duplicated keys:

So, if you want to aggregate data from several data files, you can try the new import command-line option --on-duplicate.

In a blog post, Jan provides a few usage examples.

Create an ArangoDB cluster on Digital Ocean with a single command

03DocumentationTags:

It is often difficult and time-consuming to setup a cluster environment for development or production purposes. For this reason, we decided to make an initial setup for you as easy as possible.

Today we’re introducing the first part of our new deployment tool for cloud computing platforms (Edit: now also available: Amazon Web Services and Google Compute Engine):

Part 1: Digital Ocean

We’ve released our first prototype, which deploys an ArangoDB Cluster on Digital Ocean. Just download a single bash script, export your Digital Ocean API Token and watch the tool take care of the rest for you.

More info

Be more lazy, use a custom .arangod.rc

00DocumentationTags:

How often did you typed

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.

Now we’ve also added support for a file .arangod.rc that will be executed on server start. For example, you could put the following into the .arangod.rc file:

You’ll never have to go through the history again to add your favourite function again. (Available in devel-branch, coming to the next releases soon).

Using ArangoDB as a Logstash Output

00DocumentationTags:
Logstash

Inspired by a question on StackOverflow, I did some investigation about how to make Logstash send log events to ArangoDB.

There is no dedicated Logstash output plugin for ArangoDB on the Logstash plugins page, so I had already accepted to write one on my own.

Browsing the plugins page for inspiration, I found an HTTP output plugin for Logstash. It seems to be general enough that it can send the log event in JSON format to any HTTP-speaking backend.

ArangoDB’s API is JSON over HTTP, so it sounded like a perfect match. I briefly tried it out and it seemed to work fine.

Read more on Jan’s Blog