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Create an ArangoDB cluster on Amazon Web Services (AWS)
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…
Reusable Foxx Apps with Configurations: ArangoDB Development
While the optional configuration field in Foxx manifests had experimental support all the way back to ArangoDB 2.1, the feature was previously undocumented and not well understood. The upcoming ArangoDB 2.6 release officially introduces Foxx configurations, allowing you to make your existing Foxx apps more re-usable and to make better use of third-party apps. Let’s…
IN List Improvements: ArangoDB Query Enhancement
Another performance improvement could be accomplished in the latest devel-branch: The handling of large IN-lists. Those become much faster than in the previous releases. Large IN-lists are normally used when comparing attribute or index values against some big array of lookup values or keys provided by the application. Read on how this improvement reduces query…
Bulk Document Lookups: Efficient Data Retrieval with ArangoDB
ArangoDB 2.6 comes with a specialized API for bulk document lookups. The new API allows fetching multiple documents from the server using a single request, making bulk document retrieval more efficient than when using one request per document to fetch. Provided the documents keys are known, all the client application needs to do is to…
Full-Text Index Enhancements: ArangoDB Search Optimization
This post is about improvements for the fulltext index in ArangoDB 2.6. The improvements address the problem that non-string attributes were ignored when fulltext-indexing. Effectively this prevented string values inside arrays or objects from being indexed. Though this behavior was documented, it was limited the usefulness of the fulltext index much. Several users requested the…
String Comparison Performance: ArangoDB Query Optimization
We’ve been using Callgrind with its powerful frontend KCachegrind for quiet some time to analyse where the hot spots can be found inside of ArangoDB. One thing always accounting for a huge chunk of the resource usage was string comparison. Yes, string comparison isn’t as cheap as one may think, but its been even a…
ArangoDB at Strata + Hadoop World London (5-7 May)
Max Neunhöffer from ArangoDB shows an use case for multi-model NoSQL databases on Strata + Hadoop World 2015 in London. Join his Session on 6th of May. Multi-model databases and the art of aircraft maintenance We describe a case study in aircraft fleet management, where we needed a database that would store data about all…
Return Value Optimization for AQL: ArangoDB Query Efficiency
While in search for further AQL query optimizations last week, we found that intermediate AQL query results were copied one time too often in some cases. Precisely, the data that a query’s ReturnNode will return to the caller was copied into the ReturnNode’s own register. With ReturnNode’s never modifying their input data, this demanded for…
ArangoDB 2.5.3: Maintenance Release for Enhanced Stability
This version is deprecated. Download the new version of ArangoDB The third maintenance release for ArangoDB 2.5 is available for download. This maintenance release is to address some issues in ArangoDB 2.5 and to support future releases.
ArangoDB Team in Silicon Valley: Innovation and Collaboration
ArangoDB’s outpost in the Bay area is getting more and more crowded. CTO Frank @fceller has joined the team of our CEO Claudius @weinberger, and ArangoDB´s lead developers: Max @neunhoef & Michael @mchacki. The latter are in San Francisco for a while already. You can meet our team by attending several Meetups, the Collision Conf…