Deploy ArangoDB 3 Cluster: 2-Click Setup

Hurray! Last week finally saw the release of ArangoDB 3.0 with lots of new features and in particular various improvements for ArangoDB clusters. In this blog post, I want to talk about one aspect of this, which is deployment.

DC/OS

As of last Wednesday, deploying an ArangoDB 3.0 cluster on DC/OS has become even simpler, because the new version of our framework scheduler has been accepted to the DC/OS Universe. Therefore, deployment is literally only two clicks: Read more

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Running ArangoDB 3.0.0 on DC/OS Cluster

As you surely recognized we´ve released ArangoDB 3.0 a few days ago. It comes with great cluster improvements like synchronous replication, automatic failover, easy up- and downscaling via the graphical user interface and with lots of other improvements. Furthermore, ArangoDB 3 is even better integrated with Apache Mesos and DC/OS. Read more

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Efficient Lock-Free Data Structure Protection | ArangoDB Blog

Motivation

In multi-threaded applications running on multi-core systems, it occurs often that there are certain data structures, which are frequently read but relatively seldom changed. An example of this would be a database server that has a list of databases that changes rarely, but needs to be consulted for every single query hitting the database. In such situations one needs to guarantee fast read access as well as protection against inconsistencies, use after free and memory leaks.

Therefore we seek a lock-free protection mechanism that scales to lots of threads on modern machines and uses only C++11 standard library methods. The mechanism should be easy to use and easy to understand and prove correct. This article presents a solution to this, which is probably not new, but which we still did not find anywhere else.

The concrete challenge at hand

Assume a global data structure on the heap and a single atomic pointer P to it. If (fast) readers access this completely unprotected, then a (slow) writer can create a completely new data structure and then change the pointer to the new structure with an atomic operation. Since writing is not time critical, one can easily use a mutex to ensure that there is only a single writer at any given time. The only problem is to decide, when it is safe to destruct the old value, because the writer cannot easily know that no reader is still accessing the old values. The challenge is aggravated by the fact that without thread synchronization it is unclear, when a reader actually sees the new pointer value, in particular on a multi-core machine with a complex system of caches.

If you want to see our solution directly, scroll down to “Source code links“. We first present a classical good approach and then try to improve on it. (more…)

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Is Multi-Model the Future of NoSQL? ArangoDB Insights

Here is a slideshare and recording of my talk about multi-model databases, presented in Santa Clara earlier this month.

Abstract: Recently a new breed of “multi-model” databases has emerged. They are a document store, a graph database and a key/value store combined in one program. Therefore they are able to cover a lot of use cases which otherwise would need multiple different database systems. This approach promises a boost to the idea of “polyglot persistence“, which has become very popular in recent years although it creates some friction in the form of data conversion and synchronisation between different systems. This is, because with a multi-model database one can enjoy the benefits of polyglot persistence without the disadvantages.

In this talk I will explain the motivation behind the multi-model approach, discuss its advantages and limitations, and will then risk to make some predictions about the NoSQL database market in five years time. (more…)

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Agile development vs. schema enforcement – a paradox resolved

The fans of modern and agile software development usually propose to use schemaless database engines to allow for greater flexibility, in particular during the early rapid prototyping phase of IT projects. The more traditionally minded insist that having a strict schema that is enforced by the persistence layer throughout the lifetime of a project is necessary to ensure quality and security.
schema_enforcement
In this post I would like to explain briefly, why I believe that both groups are completely right and why this is not so paradoxical as it sounds at first glance. (more…)

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Building a self-learning game with ArangoDB, io.js & AngularJS in half a day.

With the ArangoDB Foxx Microservice Framework we’ve introduced an easy way to create a Web API right on top of the NoSQL database.

In early January Max challenged Andreas (AngularJS / NodeJS) that they could build a full-stack application within half a day.

The web application – in short – is a guessing game, in which the computer tries to guess a thing or animal you think of by asking a series of questions, for which you provide the answers. (more…)

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