Uploaded image for project: 'eZ Publish / Platform'
  1. eZ Publish / Platform
  2. EZP-24330

Implement Elasticsearch search engine prototype using multicore capability to index Content per language

    Details

    • Type: Improvement Improvement
    • Status: Open
    • Priority: High High
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None

      Description

      Current Elasticsearch Search Engine implementation index Content field data in nested documents, one per language.

      One problem with this approach is that it is not in line with how relevancy is calculated. As website typically shows Content in a single translation, having all languages indexed in the same index will result in incorrect search statistics, meaning scoring will not be correct for the content displayable on the website.

      Another problem is that nested documents were implemented for very narrow purpose, and using them in this way might have negative performance and scaling impact.

      Using multiple indexes to index Content per translation would enable removing usage of nested documents to index field data per translation. It would also enable correct relevancy calculation per translation.

        Issue Links

          Activity

          There are no comments yet on this issue.

            People

            • Assignee:
              Unassigned
              Reporter:
              Petar Spanja (Inactive)
            • Votes:
              0 Vote for this issue
              Watchers:
              1 Start watching this issue

              Dates

              • Created:
                Updated:

                Time Tracking

                Estimated:
                Original Estimate - 3 days
                3d
                Remaining:
                Remaining Estimate - 3 days
                3d
                Logged:
                Time Spent - Not Specified
                Not Specified