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  1. mod-search
  2. MSEARCH-119

[SPIKE] Instance - compare performance of wildcard queries with ES suggestions

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    Details

    • Type: Story
    • Status: Closed (View Workflow)
    • Priority: P3
    • Resolution: Done
    • Affects Version/s: None
    • Fix Version/s: None
    • Labels:
    • Template:
      Falcon user story template
    • Sprint:
      Falcon Sprint 113
    • Story Points:
      2
    • Development Team:
      Falcon

      Description

      Purpose/Overview:

      The purpose of the story is to investigate if wildcard queries can be efficient use instead of elasticsearch completions and how slower they will perform. 

      Requirements/Scope:
      1. Investigate performance impact for following instance fields supporting autocomplete:

      • Titles (all fields)
      • Contributors (all fields)
      • Subject
        2. Investigate performance of suggestions sorted by:
      • score
      • frequency
        3. Suggest mode:
      • missing (provide suggestions for terms that are not in the index)
      • popular
      • always
        4. Number of suggestions

      5. Standard analyzer or defined language analyzer?

      Approach:

      Acceptance criteria:

      • The tests are conducted on the collection of 2M records
      • The findings are documented and reviewed with the team
      • Necessary user stories are created
        *

        TestRail: Results

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                Assignee:
                pavel_filippov Pavel Filippov
                Reporter:
                pavel_filippov Pavel Filippov
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                  Dates

                  Created:
                  Updated:
                  Resolved:

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