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  1. Compass
  2. COMPASS-6357

Investigate changes in PM-2646: Columnstore indexes for analytic queries

    • Type: Icon: Investigation Investigation
    • Resolution: Done
    • Priority: Icon: Major - P3 Major - P3
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      Downstream Attention Summary
      new Column Store Index option for creating indexes in Compass

      PM Ticket Summary
      Add a new type of an index, columnar index, that substantially improves performance of analytic queries.

      Motivation
      Document-based collections with B-Tree indexes ensure fast writes and point or selective range reads. They are efficient transactional and search scenarios that process entire documents. On the other hand, analytic queries usually reference a handful of fields and perform well against column-oriented formats. In this case, fields are highly-compressed and can be loaded selectively providing dramatic savings in I/O. Other techniques, such as skip-scans or operations on compressed data can push performance even further.

      Allowing users to supplement their collections with columnar indexes is a seamless way of adding support for analytic workloads to their systems trading off storage and write throughput. In addition, it can improve performance not only for a known upfront fixed workload but also for ad hoc queries.

            Assignee:
            Unassigned Unassigned
            Reporter:
            jessica.sigafoos@mongodb.com Jessica Sigafoos
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              Created:
              Updated:
              Resolved: