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Atlas Search

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  1. Synonyms support for autocomplete operator

    Hi.

    Having synonyms support for the autocomplete operator would be great! Is this possible?

    Best regards,
    Tim

    1 vote

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  2. Allow faceting for embeddedDocuments

    At the moment embeddedDocuments does not allow number or date faceting.

    (https://www.mongodb.com/docs/atlas/atlas-search/define-field-mappings/#std-label-bson-data-types-embedded-documents)

    In my opinion, this does not make the operator useful, since Faceting is now the standard for every search.

    20 votes

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  3. Additional function scores decay functions: exp & linear

    Atlas Search currently only supports gaussian decay function for function scores. In 4 out of 5 of our use cases exp would be a much more natural choice.

    https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html#function-decay

    Hopefully that is just a small task!

    1 vote

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  4. Allow comments in JSON code

    It would be great if we could keep comments in JSON generated items such as indexes (both MongoDB and Atlas Search)

    2 votes

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  5. Allow indexing of only part of a collection

    Would be great to be able to create an Atlas Search index that only indexes part of a collection (like partialFilterExpression for a regular index). This would be valuable in situations where a collection is quite large (which would create a lot of unnecessary overhead) but only a small fraction of it needs to be searchable.

    2 votes

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  6. Ability to return all documents in a collection

    I need to return all documents in a collection while boosting certain results which match my search criteria.

    2 votes

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  7. Ruby on Rails support of Atlas Search index management

    Feedback from customer: "Currently we need to manage core DB indexes and atlas search indexes separately. We'd prefer to manage them all in the Rails model code but MongoID only supports core DB index configuration. We're having to use terraform for atlas search index management."

    1 vote

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  8. Support for Index Partitions

    When I reach Lucene's 2 billion document limit, I would prefer to partition my index instead of being forced to Shard my database.

    10 votes

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  9. Token filter that removes duplicated entries

    Create a token filter or a tokenizer or even an option that removes duplicate words in fields  to avoid misleading scoring. 
    For example: if I insert a document with a property "Testing testing document", another with "Testing example" and a third with "Testing foo" and I search for "Testing foo", the first document receives a higher score.
    
    1 vote

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  10. MongoT (Atlas Search) logs available

    Provide mongot logs (Atlas Search) available to the customers to be downloaded and analyzed like right now it is possible to download and analyze mongod logs (classic db).

    10 votes

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  11. Multiple Capture Groups in RegEx Tokenizer

    Currently the RegEx tokenizer only supports to either create a token from each match or for one capture group per match. This makes it impossible to reuse parts of the text for multiple tokens, for example when you want to tokenize "13.3" into "13" as well as "13.3" (our use case is searching products where we want to find a 13.3" device by searching for 13" as well as 13.3").

    1 vote

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  12. $bucketAuto for number facets

    As a developer, I would like to have functionality for NumberFacets similar to the $bucketAuto operator, so that I can define the number of buckets I want instead of setting the boundaries myself.

    This function is helpful in situations where you don't know the boundaries or can't calculate them easily.

    Example:
    myNumberFacet: {
    type: 'number'
    path: 'path.to.my.field'
    buckets: 1000
    }

    12 votes

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  13. Hierarchical/Multi-Level filters/facets.

    As a user, I'd like to be able to compute faceted counts on multi-levels of categorization.

    20 votes

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  14. wildcard paths in index specifications

    It would make index specification easier in some cases if wildcards were possible in the paths. Yes we have dynamic indexing, but to keep the index size minimal and to be more flexible I want to index only the fields I really need. Consider the following example:

    Example document:

    {
    foo: {
    de: {
    field1: 'bar',
    field2: 'bar'
    },
    en: {
    field1: 'bar',
    field2: 'bar'
    },
    fr: {
    field1: 'bar',
    field2: 'bar'
    },
    }
    }

    Index specification:

    {
    "mappings": {
    "dynamic": false,
    "fields": {
    "foo": {
    "type": "document",
    "dynamic": false,
    "fields": {
    "$**": {
    "type": "document",
    "dynamic": false,
    "fields": {…

    1 vote

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  15. Ability to randomize score

    I would like to be able to add randomness to the search results' score.

    1 vote

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  16. add a setting to ignore the corpus term frequency for score calculation

    indexOption:docs omits per document frequencies, but it still uses the corpus frequency.

    it would be good to have a setting to ignore the corpus frequency as well

    3 votes

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  17. Atlas full text search should support searching all field types

    Atlas full text search should support searching all fields types including text, dates, numbers and booleans.

    Atlas full text search at present supports searching in text values only. e.g. Searching for "2022" will not pick up documents that contain 2022 in the number fields.

    The functionality in it's current form does not have any way of searching for a given string value (which can be numeric, boolean or part of a date).

    3 votes

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  18. Grouping in $search

    Add grouping capability to search so that it can be as performant as the search itself.

    A separate group stage is not performant at all and is unusable.

    3 votes

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  19. Ability to exclude documents matching a certain criteria from index

    We don't do physical deletion of documents, but a logical one, flagging them by setting a value for a deleted_at field.

    We would like an option to exclude documents where that field exists and is not null from the index, because they will never be returned and are only consuming space of the index.

    Currently we use a mustNot condition to exclude them, but of course they are still being indexed.

    The ideal would be to be able to define the exclusion criteria in the index definition.

    1 vote

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  20. Allow retrieval of individual score from embedded document search

    When using the emeddedDocuments operator to search you get a score per document, but not per embedded document. The aggregated score is either min/max/sum/mean but what I really need is the individual score from the embedded documents in order to further filter out the best matches.

    2 votes

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