Home » Tag Archives: JBoss Drools

Tag Archives: JBoss Drools

Drools 6.2.0.Final Released

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We are happy to announce the latest and greatest Drools 6.2.0.Final release. This release in particular had a greater focus on improved usability and features that make the project easier to use (and adopt). Lots of improvements on the workbench UI, support for social activities and plugin management, as well as a brand new Execution Server for rules are among ...

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Prototyping an enterprise webapp at Devoxx Hackergarten

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For the 10th year in a row, I attended DevoxxBe. It’s my favorite Java conference, but the talk schedule isn’t always optimal: sometimes I want to see 2 great talks at the same time! So at the Hackergarten at Devoxx, between attending talks, a few of us started building a webapp to improve the schedule. We’re calling the prototype OptaConf ...

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The Drools and jBPM KIE Apps platform

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With the Drools and jBPM (KIE) 6 series came a new workbench, with the promise of eventual end user extensibility. I finally have some teaser videos to show this working and what’s in store. Make sure you select 1080p and go full screen to see them at their best.                 What you seen ...

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Trace output with Drools

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Drools 6 includes a trace output that can help get an idea of what is going on in your system,  and how often things are getting executed, and with how much data. It can also help to understand that Drools 6 is now a goal based algorithm, using a linking mechanism to link in rules for evaluation. More details on ...

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Drools Executable Model

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The Executable Model is a re-design of the Drools lowest level model handled by the engine. In the current series (up to 6.x) the executable model has grown organically over the last 8 years, and was never really intended to be targeted by end users. Those wishing to programmatically write rules were advised to do it via code generation and ...

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Event processing in camel-drools

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In a previous post about camel-drools I’ve introduced camel-drools component and implemented some simple task-oriented process using rules inside Camel route. Today I’ll show how to extend this example by adding event processing. So how to describe an event? Each event occur at some time and lasts for some duration, events happen in some particular order. We have then a ...

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Drools 6 Performance with the PHREAK Algorithm

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Drools 6 introduces a new lazy matching algorithm. The details of that algorithm have been covered in two previous blogs: R.I.P. RETE time to get PHREAKY PHREAK Stack Based Evaluations and Backward Chaining The first article discussed performance and why the batch and lazy aspects of the algorithm, make it hard to compare.       “One final point on ...

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Drools : PHREAK Stack Based Evaluations and Backward Chaining

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A while back I wrote a blog on our new algorithm: http://blog.athico.com/2013/11/rip-rete-time-to-get-phreaky.html Someone asked me about the new stack based system, and how backward chaining works. I replied to them in an email, but I thought others might find it useful, so have pasted it below. It’s written straight from my brain onto the page, so it’ a bit raw ...

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Deployment with Drools 6.0

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KieScanner The 6.0 KieScanner replaces the 5.x KnowledgeAgent. It uses embedded Maven to allow the resolving and retrieving of jars at runtime. 6.0 applications can now easily support dependencies and transitive dependencies; using well known Maven semantics for versioning. It allows for deployment on the class path and also dynamically at runtime. Currently it supports manual “scanNow” and interval polling, ...

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