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Atlas Search

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  1. Please support on-prem installations

    Can we get Search on-prem? Is this always going to be an Atlas-only feature?

    67 votes

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    declined  ·  Marcus Eagan responded

    As it stands today, we are not planning to support on-premise. Maintaining a single deployment model allows us to quickly deliver features to support more and more customers’ workloads with a leading search engine that is an improvement on predecessors. Atlas Search is Atlas-only for now.

    We have a number of features that can make mostly-local development easier. Please let us know if you have questions.

  2. Allow $match or $sort stages that follow the $search stage to use MongoDB native indexes

    Currently, if there are $match or $sort stages that follow the $search stage, then those $match and $sort stages are unable to use MongoDB's native indexes on the fields being matched/sorted.

    While the documentation recommends 1) designing your $search query so that all necessary filtering occurs in the $search stage which removes the need for a $match stage and 2) instead of using a $sort stage, using the $near operator to sort documents based on a numeric, date, or geo field, such changes are not always feasible depending on the use-case. In such instances, having a $match and …

    12 votes

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    The spirit of this request is to provide faster sorted results with Atlas Search. Efficient sorting of results when using Atlas Search is an important use-case to us and that we are proactively exploring what features we can provide in this regard. After reviewing with the engineering team, we've determined that this particular approach will not provide the intended benefits so we will not be pursuing it.  Please follow Faster Sorting with Atlas Search for future developments. 

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