With ArangoDB 3.4 we finally made the RocksDB storage engine the default. This decision was made after a year of constant improvements to the engine to make it suitable for all our customer’s use cases. Read more
An Introduction to Geo Indexes and their performance characteristics: Part II
January 18, 201801GeneralTags: geo, PerformanceGeo Index Implementation
This section will cover the MMFiles based geo-index. The algorithm is optimized for in-memory accesses and optimal CPU cache utilization. The main goal for our geo queries is to reject as many distant possible result points as fast as possible. Read more
The ArangoDB Fulltext index allows you to search for text in arbitrary strings. It is a great way to implement things like autocompletion, product searches or many other use-cases which need some form of fulltext search.
The Fulltext Index is suitable for you if your use-case can be broken down to:
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An Introduction to Geo Indexes and their performance characteristics: Part I
January 4, 201801Architecture, GeneralTags: geo, PerformanceStarting with the mass-market availability of smartphones and continuing with IoT devices, self-driving cars ever more data is generated with geo information attached to it. Analyzing this data in real-time requires the use of clever indexing data-structures. Geo data in ArangoDB consists of 2 or more dimensions representing (x, y) coordinates on the earth surface. Searching on a single number is essentially a solved problem, but effectively searching on multi-dimensional data can be more difficult as standard indexing techniques cannot be used.
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Milestone 2 ArangoDB 3.3 – New Data Replication Engine and Hot Standby
October 20, 201700General, ReleasesTags: Cluster, ReleaseWe’re pleased to announce the availability of the Milestone 2 of ArangoDB 3.3. There are a number of improvements, please consult the changelog for a complete overview of changes.
This milestone release contains our new and improved data replication engine. The replication engine is at the core of every distributed ArangoDB setup: whether it is a typical master/slave setup between multiple single servers or a full-fledged cluster. During the last month we:
- redesigned the replication protocol to be more reliable
- refactored and modernized the internal infrastructure to better support continuous asynchronous replication
- added a new global asynchronous replication API, to allow you to automatically and continuously mirror an entire ArangoDB single-instance (master) onto another one (or more)
- added support for automatic failover from a master server to one of his replica-slaves, if the master server becomes unreachable
Alpha3 of ArangoDB 3.2: Support for Distributed Graph Processing
March 29, 201700ReleasesTags: Graph, Pregel, Release, TutorialThe next alpha release of the upcoming ArangoDB 3.2 is available for testing. You can download and install alpha3 here.
Moving forward
As ArangoDB 3.2 will include several new features and improvements, we realized that the release model that we currently follow has room for improvement. Going forward we will introduce milestone releases with ArangoDB 3.3. For this major release you will see a bit more alphas. You can read detailed info about the new structure model here.
Pregel computing model
In this alpha we introduce support for incremental graph processing algorithms in a single mode server as well as in the cluster. Read more