287 results found

1. delete logs number of days old

   In the options for Mongo DB Log Settings, there is only
   Max Percent of Disk
   Total Number of files

   A new option for
   Number of Days to keep

   Would be useful

   3 votes

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2. Add expression indexes

   An expression index is one where the value being indexed is the result of an expression, like lower casing a string.

   http://en.wikipedia.org/wiki/Expression_index
   http://www.postgresql.org/docs/8.1/static/indexes-expressional.html

   5 votes

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3. Deny Network Access to MongoDB Cluster

   To improve network security, please create an option to Deny specific Network Adresses to MongoDB Cluster.

   2 votes

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4. Data Replication from one MongoDB Cluster to another MongoDB Cluster

   Create an option for the user to replicate data from one MongoDB Cluster to another MongoDB Cluster inside the account. We don't need to migrate data, I need replicate data from an Production Cluster to an Dev/Test Cluster. Thanks.

   8 votes

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5. Support split documents on disk

   As an application's functionality grows, if kept unchecked it is easy for average document sizes to grow simultaneously.

   Large documents can have a significant impact on the performance of MongoDB. However, often the application doesn't actually need the entire document to service a request. Likewise, often queries are sent to MongoDB with a projection, excluding substantial (in terms of byte size) parts of the document.

   MongoDB has no ability to optimise these projections (except for covered queries which are not always practical).

   MongoDB should provide the ability to specify a "split" in a document such that the query planner can optimise disk access such that only the fields included by a projection are accessed.

   This would improve both write and read performance by allowing updates to subsets of the document to be targeted to specific disk regions. Likewise, queries which exclude large portions of the document can be optimised as they will no longer need to read potentially large sections of the disk.

   As an application's functionality grows, if kept unchecked it is easy for average document sizes to grow simultaneously.

   Large documents can have a significant impact on the performance of MongoDB. However, often the application doesn't actually need the entire document to service a request. Likewise, often queries are sent to MongoDB with a projection, excluding substantial (in terms of byte size) parts of the document.

   MongoDB has no ability to optimise these projections (except for covered queries which are not always practical).

   MongoDB should provide the ability to specify a "split" in a document such that the query planner can… more

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6. Creation of Custom Views

   SQL based option to create view using multiple collections or databases

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7. Make IAM database user authentication compatible with AWS SSO

   We are in the process of implementing AWS SSO across our Organisation and wanted to tie this in with mongodb-aws for database authentication.
   Unfortunately we have been informed the 2 services are not compatible.

   This would be a really useful add on to improve management of our systems.

   4 votes

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8. Document known breaking change in JavaScript Engine

   If a new version of MongoDB will include a new version of MozJS (ex https://jira.mongodb.org/browse/SERVER-29286) and this version will break any existing scripts it would be ideal if this was documented.

   For example, with MongoDB 4.2 "value".contains() no longer worked in scripts and had to be converted to "value".includes()

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9. Ability to create the resume token based on oplog item

   CHoose an oplog event to set the resume token for, instead of needing to run the change stream for system to create a resume token

   Why: Concerns about many stream re-reading a full oplog if failure before finding first event

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10. geoContain

    Dear all,
    according to the attached image, I have some documents (in blue, with id from 1 to 5) having a geographic extent and a search area (in yellow).
    I need to find all documents where search area is completly inside the document's geometry.
    Using different words, I need to find all documents where geometry completly covers the given search area.
    In my sample, the geo query should return the document with id 1.
    This kind of query has a opposite logic than the $geoWithin

    Could you provide a $geoContain functionality in the next future?

    •  

    10 votes

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11. view on nested array

    • It is quite common to have nested array in documents in MongoDB.
    • It is also quite common to have to "flatify" those arrays in queries.

    Here is an example where we have a collection with consultants and their professional experiences.

    consultant [{
       name:"Toto",
       age: 25,
       experiences: [{
          role: "Sofware Engineer",
          from: "2010-01-01",
          to: "2012-01-01",
          company: "CompanyA"
       }, {
          role: "Data Analyst",
          from: "2018-01-01",
          to: "2020-01-01",
          company: "CompanyB"
       }]
    }]
    

    If we would like to list all experiences at a company during a certain period of time, we would have to do an aggregate query with 3 steps that are sometimes error prone:
    - $match with $elemMatch
    - $unwind
    - same $match (without $elemMatch)

    "views" exists and make those queries much easier to create, with a simple find
    db.experiences.find({company:"CompanyA", from: {$gte: ... $lte...}})

    Unfortunately when using "views" the engine simply adds the match constraint at the end of the aggregation which turns out to be not always performant see https://support.mongodb.com/case/00767327.

    Would it be possible to create an option when creating a view that would be: Create a "view from nestedArray". It is quite simple to create an aggregation query where the query is better optimised because the match is done in the beginning.

        /** 1st match if elemMatch */
        stages.add(Aggregation.match(Criteria.where(nestedCollection).elemMatch(matchElemCriteria)));
        stages.add(Aggregation.unwind(nestedCollection));
        /** 2nd match without elemMatch */
        stages.add(Aggregation.match(matchCriteria));
        stages.add(new GenericAggregationOperation("$project", "{\"" + nestedCollection +"\": \"$" + nestedCollection + "\"}"));
        stages.add(new GenericAggregationOperation("$lookup", "{from: \"" + parentCollection + "\",\n" + "localField: \"_id\", foreignField: \"_id\", as: \"" + nestedCollection + "." + patientFieldName + "\"}"));
        stages.add(new GenericAggregationOperation("$unwind", "{ path : \"$"+ nestedCollection +"." + patientFieldName + "\"}"));
        stages.add(new GenericAggregationOperation("$replaceRoot", "{newRoot: \"$" + nestedCollection + "\"}"));
    

    • It is quite common to have nested array in documents in MongoDB.
    • It is also quite common to have to "flatify" those arrays in queries.

    Here is an example where we have a collection with consultants and their professional experiences.

    consultant [{
       name:"Toto",
       age: 25,
       experiences: [{
          role: "Sofware Engineer",
          from: "2010-01-01",
          to: "2012-01-01",
          company: "CompanyA"
       }, {
          role: "Data Analyst",
          from: "2018-01-01",
          to: "2020-01-01",
          company: "CompanyB"
       }]
    }]
    

    If we would like to list all experiences at a company during a certain period of time, we would have to do an aggregate query with 3 steps that are sometimes… more

    3 votes

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12. VPC between ATLAS/MongoDB/AWS and Heroku/AWS

    Would be a great great feature if we can create a VPC between ATLAS/MongoDB/AWS and Heroku/AWS.
    Thanks.
    Adailton Silva

    2 votes

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13. Cloning User/Roles along with Database

    When cloning a Database it would be helpful if User/Roles could be cloned directly as well and carried over.

    1 vote

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14. Add option to repair a single collection

    Add support for repairing a single collection instead of what is currently available to repair an entire database via db.repairDatabase()

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15. provide faster way to perform a count() on million documents

    a couple of customer a shifting from MongoDB to other DBs like Redis or even PostreSQL as count is too slow on MongoDB when there are a lot of document to count even with use of indexes

    7 votes

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16. Pass document field to $loolup.from and $lookup.as

    Suppose I have collection of documents { entityId, entity }, where entity is names of other collections I would like to make aggregation with lookup and be able to pass entity value to $lookup from and as

    db.collection.aggregation([{ $lookup: { from: '$entity', let: { entityId: '$entityId' }, pipeline: [{ $match: { $expr: { $eq: ['$_id', '$$entityId'] } } }], as: '$entity' } }])

    As of mongo v4.4.4 that seems not working.

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17. Have a role that allows that user to control the schema of a collection

    As a DBA or Data Architect, I want to be able to enforce data governance policies like schema control. Users of MongoDB cannot change the schema however DBA or named individuals have the ability to change the schema.

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18. 2dindex

    geoIntersect queries on spherical geometries are not adapted to our use case. Our need is to retrieve a list of tiles intersecting a given area of interest (AOI) in a flat 2d geometry.

    Classical geo-spatial databases (PostGIS and Oracle Spatial) support this kind of approach at no extra cost and we would expect the same from MongoDB.

    In MongoDB , using a 2dsphere index forces us to implement a workaround adding an artificial margin to the AOI and making a post-processing to remove false positives. See attached slides for explanations.

    Best Regards

    • 

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19. Support for Ubuntu 20.4 in MongoDB Server version 4.2

    Per the Server Support Matrix https://docs.mongodb.com/manual/installation/ support for Ubuntu 20 is in MongoDB Server version 4.4+ but not 4.2.
    We would like to see the currently supported MongoDB Server version 4.2 available on the Ubuntu 20.4 LTS distribution.

    5 votes

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20. log connection string used by application to connect

    there are multiple options to connect to mongo: you can connect to specific node or you can connect to the whole replicaset etc...
    if DBA does not have access to source code - it's not possible to validate if application properly configured and connects to replicaset.

    it would be nice to let mongoDB dump to mongod.log used connection string and/or details how exactly client sessions is connected to mongo.

    3 votes

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