Category: ArangoDB

Feed: Blog – ArangoDB. Author: Daniel Larkin-York. Graph databases are often used to analyze relations within highly interconnected datasets. Social networks, recommendation engines, corporate hierarchies, fraud detection or querying a bill of materials are common use cases. But these datasets change over time and you as a developer or data scientist may want to time travel and analyze these changes. While ArangoDB may not come with built-in support for managing the revision history of graph data, we’ll show in this article how to manage it in a performant manner for some general classes of graphs. Best of all, this won’t ... Read More

Feed: Blog – ArangoDB. Author: Daniel Larkin-York. Many ArangoDB users rely on our arangodump and arangorestore tools as an integral part of their backup and recovery procedures. As such, we want to make the use of these tools, especially arangodump, as fast as possible. We’ve been working hard toward this goal in preparation for the upcoming 3.4 release. We’ve made a number of low-level server-side changes to significantly reduce overhead and improve throughput. Additionally, we’ve put some work into rewriting much of the code for the client tools to allow dumping and restoring collections in parallel, using a number of ... Read More

Feed: Blog – ArangoDB. Author: Jan Steemann. Our recent release 3.3.9 includes several performance optimizations for data retrieval cases. Benefits can be expected for both storage engines, MMFiles and RocksDB, AQL batch lookup queries, and cluster AQL queries. MMFiles index batch lookups For the MMFiles engine, an optimization has been made for retrieving multiple documents from an index (hash index, skiplist index or persistent index) in a batch.Previous versions of MMFiles fetched documents from these indexes one after the other, which had some considerable overhead compared to fetching many documents from inside the index code in a single batch. This ... Read More

Feed: Blog – ArangoDB. Author: Jan Steemann. We were in search for some C++ read-write lock implementation that allows a thread to acquire a lock and then optionally pass it on to another thread. The C++11 and C++14 standard library lock implementations std::mutex and shared_mutex do not allow that (it would be undefined behaviour – by the way, it’s also undefined behaviour when doing this with the pthreads library). Additionally, we were looking for locks that would neither prefer readers nor writers, so that there will be neither reader starvation nor writer starvation. And then, we wanted concurrently queued read ... Read More

Feed: Blog – ArangoDB. Author: Andrey Abramov. In this article, we’re going to dive deeper into our recently released feature preview in Milestone ArangoDB 3.4 – ArangoSearch which provides a rich set of information retrieval capabilities. In particular, we’ll give you an idea of how our search engine works under the hood. Essentially ArangoSearch consists of 2 components: A search engine and an integration layer. The former is responsible for managing the index, querying and scoring, whereas latter exposes search capabilities to the end user in a convenient way. ArangoSearch index Inverted Index is the heart of ArangoSearch. The index ... Read More

Feed: Blog – ArangoDB. Author: Mark Vollmary. 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 ... Read More

Feed: Blog – ArangoDB. Author: Max Neunhöffer. TL;DR; This describes how to generate a completely static binary for a complex C++ application which runs on all variants of Linux without any library dependency. ArangoDB is a multi-model database written in C++. It is a sizable application with an executable size of 38MB (stripped) and quite some library dependencies. We provide binary packages for Linux, Windows and MacOS, and for Linux we cover all major distributions and their different versions, which makes our build and delivery pipeline extremely cluttered and awkward. At the beginning of this story, we needed approximately 12 ... Read More

Feed: Blog – ArangoDB. Author: Jana Volkova. We are thrilled to be attending one of Europe’s greatest events – JontheBeach (JOTB), an international rendezvous for developers and DevOps around Big Data technologies. No product talks just deep-tech topics presented by hand-picked speakers from Google, Apache Spark, RedHat, Stripe, Microsoft and many more. One of our core developers, Max Neunhoeffer, has been to the conf last year and enjoyed the special atmosphere a lot. This year, we decided to jump on this rare opportunity to learn & connect and are a Gold Sponsor of the event. We would love you to ... Read More

Feed: Blog – ArangoDB. Author: Claudius Weinberger. We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family! For those who don’t know Ted Dunning yet, maybe a quick introduction and the reason why the whole team is so amazed that he supports the project. Ted Dunning is Chief Application Architect at MapR, holds a PhD in computer science and is committer as well as PMC member of the Apache Mahout, Zookeeper and Drill projects. Besides his 25 patents, and even ... Read More

Feed: Blog – ArangoDB. Author: Willi Goesgens. ArangoDB bundles its regular API Documentation also in Swagger.IO API description format. You can browse and explore it interactively via the ArangoDB Webinterface. Working with the Swagger.io API Tool Now you’ve loaded the Swagger.io API documentation, let’s play with it. We’re choosing a route that accepts a simple JSON post document. Executing a simple AQL Query does so. As shown above, we scrolled down to AQL and clicked on POST /_api/query. It already shows a similar documentation as we could also see on the official HTTP API documentation page. Now we scroll down ... Read More