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* First version

* * Return new immutable LambdaResult while post processing
* Parallel collect

* Stream creation extracted

* Avoid using stream if not parallel

* ParallelLambdaExternalizationOption

* Revert "ParallelLambdaExternalizationOption"

This reverts commit 0ce3cf28

* ParallelLambdaExternalizationOption in the correct place

* Parametrize paralellExternalization

* Do not use default ForkJoinPool

* Parametrize paralellExternalization

* * Don't use ForkJoinPool in sequential mode

* Update drools-compiler/src/main/java/org/drools/compiler/builder/impl/

Co-authored-by: Daniele Zonca <>

Co-authored-by: Daniele Zonca <>


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An open source rule engine, DMN engine and complex event processing (CEP) engine for Java™ and the JVM Platform.

Drools is a business rule management system with a forward-chaining and backward-chaining inference based rules engine, allowing fast and reliable evaluation of business rules and complex event processing. A rule engine is also a fundamental building block to create an expert system which, in artificial intelligence, is a computer system that emulates the decision-making ability of a human expert.

Be sure to check out the Drools' project website and documentation!

Developing Drools and jBPM

If you want to build or contribute to a kiegroup project, read this document.

It will save you and us a lot of time by setting up your development environment correctly. It solves all known pitfalls that can disrupt your development. It also describes all guidelines, tips and tricks. If you want your pull requests (or patches) to be merged into master, please respect those guidelines.