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.
Was it clear so far?
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
