Release Candidate 2 of the ArangoDB 3.6 available for testing
We are working on the release of ArangoDB 3.6 and today, just in time for the holiday season, we reached the milestone of RC2. You can download and take the RC2 for a spin: Community Edition and Enterprise Edition.
The next version of the multi-model database will be primarily focused on major performance improvements. We have improved on many fronts of speeding up AQL and worked on things like:
- Subquery performance
- Parallel execution of AQL queries that allows to significantly reduce gathering time of data distributed over several nodes
- Late document materialization that reduces the need to retrieve non-relevant documents completely
- `UPDATE` and `REPLACE` operations
- Early pruning of non matching documents that directly applies the filter condition when scanning the documents, so that copying documents that do not meet the filter condition into the AQL scope can be avoided
The new feature that will be generally available with ArangoDB 3.6 Enterprise Edition is OneShard.
Not all use cases require horizontal scalability. In such cases, a OneShard deployment offers a practicable solution that enables significant performance improvements by massively reducing cluster-internal communication. A database created with OneShard enabled is limited to a single DB-Server node but still replicated synchronously to ensure resilience. This configuration allows running transactions with ACID guarantees on shard leaders.
Read more about this feature in our documentation. You can already try out the benefits of OneShard by testing the Enterprise Edition Release Candidate 2. If you have ArangoDB installed, please remember to backup your data and run an upgrade after installing the RC release.
With every release of ArangoDB, we are continuously working on improvements in ArangoSearch – our full-text search engine including similarity ranking capabilities. With the upcoming ArangoDB 3.6 we have added support for edge n-grams to the existing Text Analyzer to support word-based auto-completion queries. The n-gram Analyzer was also enhanced with UTF-8 support and the ability to mark the beginning/end of the input sequence. Two new features that enable dynamic search expressions were also added: the `TOKENS()` and `PHRASE()` functions accept arrays and expressions with array comparison operators in AQL.
Happy testing and it would be fantastic to hear about your feedback via Github.
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