Uploaded image for project: 'Drools'
  1. Drools
  2. DROOLS-5631

Rule evaluation optimization : alpha node range index

    Details

    • Sprint:
      2020 Week 37-39 (from Sep 7), 2020 Week 40-42 (from Sep 28), 2020 Week 43-45 (from Okt 19)
    • Docs QE Status:
      NEW
    • QE Status:
      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.

        Gliffy Diagrams

          Marvel

          Marvel Prototype Add-On for Confluence Server written by David Simpson.

            Attachments

              Issue Links

                Activity

                  People

                  • Assignee:
                    tkobayashi Toshiya Kobayashi
                    Reporter:
                    tkobayashi Toshiya Kobayashi
                  • Votes:
                    0 Vote for this issue
                    Watchers:
                    2 Start watching this issue

                    Dates

                    • Created:
                      Updated:
                      Resolved: