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  1. atlas search null

    A string or number data type that has the value 'null' is returned and is not excluded even with filtering with query: 'null' entry. The $exists and $compound operators may benefit from excluding fields that have a value of 'null' but not exactly non-existent in a document.

    2 votes

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  2. Allow scoring with real word frequency (instead of word frequency per shard)

    We are migrating from ES and there is an option when having a few documents to do a first query to return the term frequencies for all shards and then do the normal query using these frequencies to calculate the score.

    The option is called "?searchtype=dfsquerythenfetch" and it's documented here: https://www.elastic.co/guide/en/elasticsearch/guide/current/relevance-is-broken.html.

    It would be great to have a similar option in Atlas Search! Thank you

    2 votes

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  3. nested facets

    in elastic we can do complex nested facet groups such as

    "aggs": {
    "resellers": {
    "nested": {
    "path": "resellers"
    },
    "aggs": {
    "min_price": {
    "min": {
    "field": "resellers.price"
    }
    }
    }
    }
    }

    It would be nice to see the same functionality in atlas search

    2 votes

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  4. Support document-level RBAC for search query results

    Users of Elastic may configure role-based security for specific indexed fields or indexed documents. For document-level security, a query filter(s) is associated with a role, and an authenticated search query provides the role. The search engine looks up RBAC rules for the given role and index combination, adds the filter or filters defined for the role and adds the filters as part of a compound search query. This allows an easy form of document-level RBAC so certain roles may search and access only a given set of documents based on one or more filter query fragments.

    https://www.elastic.co/guide/en/elasticsearch/reference/current/document-level-security.html

    1 vote

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  5. Configure Alert "Insufficient disk space to support rebuilding search indexes" via API

    Currently, it's not possible to configure the alert "Insufficient disk space to support rebuilding search indexes" via API (and therefor also not by terraform).

    When setting the respective eventTypeName "HOSTDISKSPACEINSUFFICIENTFORSEARCHINDEX_REBUILD"

    I get the following response:

    400
    request "INVALIDENUMVALUE"
    An invalid enumeration value HOSTDISKSPACEINSUFFICIENTFORSEARCHINDEX_REBUILD was specified.

    The API should support this (and any other alerts configurable by the UI).

    2 votes

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    0 comments  ·  Alerts  ·  Admin →
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  6. enable $and operator for multiple words in a search term (not only $or)

    It seems a commonly needed ability to decrease the amount of results from a multi-word search query instead of expanding it, since the default operator for every word is $or. If there could be a built-in $and option it will be great. Thank you.

    3 votes

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  7. Make the size bigger of Query search results

    Hey, recently I saw that in find section, where all data shown, is bit smaller in view point. I mean we can't see properly entire obj. Right now we have only less screen to see it.
    Here I have attached two picture of find section. Plz make the screen bigger to see more...
    Hope to implement my ideas.....

    1 vote

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  8. Support min-max computation for number and date fields, within Atlas Search

    Currently, the $min and $max aggregation operators can be used in a number of aggregation pipeline stages, in order to find min/max values for fields. It would be great if either these operators were supported within $search, or if there was a way to compute the min-max values for number and date fields within Atlas Search itself. There are certain use-cases where such a functionality can prove useful.

    For instance, we can leverage the $near operator to get sorted results, and determine the sort order of the results based on the origin. However, many times, the min-max values…

    5 votes

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  9. Support more complex groupings in facets

    The facet collector groups results by values or ranges in the specified faceted fields and it currently returns the count for each of those groups. However, besides counting, it would be good to have facets also support more complex groupings, such as averages.

    This is a feature request to have facets support complex groupings, and expand its capabilities beyond generating counts for various buckets.

    8 votes

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  10. Enable Atlas FTS to index an Atlas cluster logs

    Atlas already provides the ability to create FTS index on the collection data, but retrieving and searching on the mongod log files information is pretty bad. Customers have to download the log files, then store them, parse and index on some other tool, that typically offers FTS capabilities. Why not just cut the time it take customers to perform all of those tasks and create that ability within Atlas itself?

    1 vote

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  11. Version + Feature Availability Matrix

    As a customer, I would like to know what features work with which versions of MongoDB and Atlas Search.

    Does facets work with 4.2, or 4.4, or version 5 for instance.

    1 vote

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  12. Allow faceting on decimal fields

    I'd like to create a facet on a Price field stored as a decimal in my MongoDB documents. However, this doesn't give me the results I expect. I'm required to set the "boundaries" property on the facet to an array of integer or double values. However, when the facets are returned, they are all thrown into the "default" bucket.

    For example, if I were to declare the facet like this:

        facets: {
          price: {
            type: "number",
            path: "ProductPrice",
            // using plain integer boundaries 0,10,20,30 also fails
            boundaries: [ 0, 5.00, 10.00, 15.00, 20.00, 25.00, 30.00 ],
            default: "other",
          },
        },
    

    7 votes

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  13. Did you mean? Spell Checker

    I'd like a spelling check feature that will handle cases where the user misspells a word and still match what the user probably intended.

    1 vote

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  14. Index Templates

    I'd like the ability to apply index templates or field level mappings for my indexes

    5 votes

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  15. Introduce the ability to "forecast the Atlas Search index-size" in advance, before starting the index build

    Currently, prior to building an Atlas Search index, there is no way for users to know how large that index can get. Knowing the projected-index-size in advance can especially be helpful for users who might need to build index on a large collection, and where building such an index can push the disk-utilization to the max.

    Therefore, this is a feature request to implement a way to "forecast the Atlas Search index-size" in advance, before starting the index build.

    5 votes

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  16. Provide a button to cancel in-progress index builds

    Currently, the only option for cancelling an in-progress index build is to delete the index using the "Delete Index" menu-item in the Search Tab, or by using the Delete an Atlas Search Index API. This however is not easily evident, if users want to cancel an index build for any reason.

    Therefore, this is a feature request to provide a button to "cancel" in-progress index builds from the Atlas UI.

    4 votes

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  17. Ability to set a "minimum should match" in a query

    I can specify a percent of terms I want to match, for instance 100% means require all terms, 66% means, only return documents that matched at least 60% of the terms. (the default is 1 term)

    Ex for 100%

    search "foo bar"

    "foo bar" "bar foo" "bar hello foo" would all return

    "foo hello" would not

    4 votes

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  18. Configure Search Relevance or Results Ordering in the UI

    I want to be able to configure search relevance or the order of results with a n Atlas UI module and no code.

    2 votes

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  19. Use case driven search operators and index types

    Examples: phone numbers, addresses, websites, emails

    If this would be helpful for you, please comment the data type you are looking for

    6 votes

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  20. Query_syntax operator should support lucene syntax

    At the moment the query_syntax seems to have a custom syntax. It looks similar to lucene syntax but is not the same.

    There are a few differences to azure and elastic and I don’t understand whether I am doing something wrong or not.

    What all three service have in common is that they are built on top of lucene, therefore I though that the querystring operator uses the lucene query syntax as it seems to be done by elastic and azure: https://lucene.apache.org/core/29_4/queryparsersyntax.html

    Documentation about the elastic query string query can be found under: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html

    There are a few…

    2 votes

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