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  1. Core Server
  2. SERVER-68492

Test CE accuracy based on the JS golden-test framework

    • Type: Icon: Task Task
    • Resolution: Won't Do
    • Priority: Icon: Major - P3 Major - P3
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    • Query Optimization

      Test the accuracy of cardinality estimation via end-to-end tests against real data in mongod collections. The tests should be implemented via the golden-test framework developed by SERVER-67415.

      This task should consider how to generate the dataset(s) used for the test. So far the most likely approach is to use the Python framework developed by WRITING-11332 to pre-generate datasets, and commit to master only the JS tests with their dataset(s).

      In more detail:

      • generate a variety of datasets similar to the ones in the hist-ce tests,
      • evaluate and decide whether to pre-record the generated datasets, or generate them dynamically,
      • evaluate the cumulative accuracy results, and compare them to the hist-ce results,
      • record expected results using the golden test framework,
      • the testing framework should compute a baseline for each test either via running a separate count query, or explain("executionStats") and pick the actual counts from there.

            Assignee:
            backlog-query-optimization [DO NOT USE] Backlog - Query Optimization
            Reporter:
            timour.katchaounov@mongodb.com Timour Katchaounov
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              Created:
              Updated:
              Resolved: