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  1. Drools
  2. DROOLS-5631

Rule evaluation optimization : alpha node range index

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Details

    • Story
    • Resolution: Done
    • Major
    • 7.46.0.Final
    • 7.42.0.Final
    • core engine
    • None
    • 2020 Week 37-39 (from Sep 7), 2020 Week 40-42 (from Sep 28), 2020 Week 43-45 (from Okt 19)
    • NEW
    • NEW

    Description

      Motivation: This Story aims at rule evaluation optimization so both Kogito and drools core engine usage will get benefits for overall rule execution. It focuses on alpha node range indexing which improves performance of comparison constraints (e.g. age > 20). Other related JIRAs may be added later.

      Goals: Better rule execution performance. For each improvement, add benchmark and measure the performance gain.

      Impact: Better rule execution performance. It might have overhead during rule build time. Will confirm with benchmark anyway.

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              rhn-support-tkobayas Toshiya Kobayashi
              rhn-support-tkobayas Toshiya Kobayashi
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                Created:
                Updated:
                Resolved: