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Mastering JBoss Drools 6

Mastering JBoss Drools 6

By : Mariano De Maio, Salatino, Aliverti
3 (1)
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Mastering JBoss Drools 6

Mastering JBoss Drools 6

3 (1)
By: Mariano De Maio, Salatino, Aliverti

Overview of this book

Mastering JBoss Drools 6 will provide you with the knowledge to develop applications involving complex scenarios. You will learn how to use KIE modules to create and execute Business Rules, and how the PHREAK algorithm internally works to drive the Rule Engine decisions. This book will also cover the relationship between Drools and jBPM, which allows you to enrich your applications by using Business Processes. You will be briefly introduced to the concept of complex event processing (Drools CEP) where you will learn how to aggregate and correlate your data based on temporal conditions. You will also learn how to define rules using domain-specific languages, such as spreadsheets, database entries, PMML, and more. Towards the end, this book will take you through the integration of Drools with the Spring and Camel frameworks for more complex applications.
Table of Contents (13 chapters)
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12
Index

Drools CEP limitations


Drools CEP features are really powerful and are as quick to resolve decisions as any other type of Drools-based rules. However, it has a few architectural elements that we need to be aware of in order to make the most of it.

First of all, all Kie Sessions operate in memory. This means that all events living inside a Kie Session have to be in memory while they are still relevant to at least one rule in its Kie Base. This can be overcome by the @expires annotation of an event type, but it will still require to plan ahead for the amount of memory required to define a Drools CEP service. One quick way of determining how much memory a server will need to run a Drools CEP scenario is as follows:

  • Determine how long each event instance should be present in the Kie Session (because it might still be used in triggering a rule). Let's call this value A.

  • Determine how many events can be received in a specific period of time. Let's call this value B.

  • Determine how big an event instance...

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