Blogs Infinispan 5.1.0.ALPHA1 released: Distributed Queries are here!

Infinispan 5.1.0.ALPHA1 released: Distributed Queries are here!

Having released Infinispan 5.0.1.FINAL yesterday, today is the turn of releasing Infinispan 5.1.0.ALPHA1 "Brahma". This is the first in a series of alpha releases which will give Infinispan users the chance to play with the newest features. Here’re some highlights of what’s included in this release:

  • Thanks to Israel Lacerra, Infinispan now supports fully distributed queries which allows queries to be parallelised across all nodes. Creating a distributed query is very easy, simply call SearchManager.getClusteredQuery. Please note that this feature is experimental and the API is likely to change before the final release.

  • Infnispan Query module uses Hibernate Search 4 now.

  • In Infinispan 5.0, we introduced the possibility of executing operations against a cache in such way that class loading could occur with a user-provided classloader. In this new release, we’ve extended the use case to allow data that’s stored in binary format to be unmarshalled with the given classloader. This is particularly handy for those users that are deploying Infinispan in modular, or OSGI-like environments. For more information, check AdvancedCache.with(ClassLoader) API.

Please keep the feedback coming, and as always, you can download the release from here and you get further details on the issues addressed in the changelog.

By the way, remember that members of the Infinispan team will be speaking in events such as JavaOne, SoftShake, JUDCon London, Devoxx…​etc across the globe. Don’t miss them!

Cheers,

Galder

Get it, Use it, Ask us!

We’re hard at work on new features, improvements and fixes, so watch this space for more announcements!

Please, download and test the latest release.

The source code is hosted on GitHub. If you need to report a bug or request a new feature, look for a similar one on our JIRA issues tracker. If you don’t find any, create a new issue.

If you have questions, are experiencing a bug or want advice on using Infinispan, you can use GitHub discussions. We will do our best to answer you as soon as we can.

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