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Top Links: >> 80. Technology >> Internet Technology Summit Program >> 7. Enterprise, Knowledge Architecture, IoT, AI and ML >> 7.2. Rules and Knowledge-Driven Applications >> 7.2.2. DRools Introduction: KnowledgeBase, Session and a Rule Sample
Current Topic: 7.2.2.1. Distributed Processing with Spring Batch and Drools
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Distributed Processing with Spring Batch and Drools

Spring Batch framework provides an opportunity for distributed (parallel) processing of data.

Distributed processing is based on Master – Workers model.
Spring Batch APIs include calls to the Master process and to multiple Workers.

Master calls will allocate necessary Worker partitions and start Worker processes.
Worker processes start with reading data by Worker Reader classes.
Then data will be processed by proper Worker Processors.
End eventually Worker Writers will return results back to the Master process.
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Spring Batch with Rules

Working with Drools has its own specifics.
Worker Processors interact with Drools.
They read Rule Configuration files to pick up proper rule flow groups and fire rules in a proper order.
They place rules into the Production Memory and place facts (represented by Java objects) into the Working Memory.
They use Rule Engine to do inference and make rule-based decisions.

Assignments:
1. Answer QnAs
2. Create 2 QnAs with related question and answers (first – correct; then 2 or 3 wrong answers) and email to jeff.zhuk@javaschool.com

SprintWithRules
Questions and Answers (QnA): QnA1 | QnA2 | QnA3
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The question as well as answers can include text, links, video.
This is your creation, completely up to your taste, humor, and of course your knowledge.
If there is an existing quiz above, you need first to solve the puzzles and evaluate the quality (at the bottom of every quiz).
After finishing the existing quiz you will be able to create your own. The best puzzles will be rewarded!
We invite you to create your own questions and answers (QnA) to increase your rank and win the Top Creativity Prize!

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