470 results found

1. PKCS#11 Support for Compass
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2. Automatically pre-call `mongod --dbpath <path>` for connections to localhost.

   On Windows, whenever we connect to a localhost mongo, we need to call mongod --dbpath <db path> in a Command Prompt or Powershell prompt before clicking the "Connect" button in Compass.
   So Compass should offer the ability to automatically "pre-call" that and then perform the connection (if call was successful).

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3. more aggregation pipelines are needed and most of the time if we reach above 30 pipeline its gets struck , and more hard to use

   more aggregation pipelines are needed and most of the time if we reach above 30 pipeline its gets struck , and more hard to use

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4. RANDOM VALUES USING THE OBJECTID

   Hi,

   This is the basic suggestion from my side.we have a unique "_id" in each document while inserting the data can we make any changes in your code for example in our company we have one scenario while working on the aggregation query they need auto-generated value in numbers so it is not possible in the MongoDB.

   so I thought we can do that thing based on the _id. because we have a unique field then i converted the _id to string and separated the numbers and alphabetic separately but we don't have unique values the after separating the numbers from the objectId.

   can we do anything that generation in the objectId based on the numbers or can we have anything like alphabetic have separate numbers like using the let variable like what we did for getting the months and days.

   if you do any one of them we can do auto-generation which is unique in numbers for every document either changing in the generation in objectId or adding the alphabetic to numbers like months and days

   I am sending the query that I have used in my organization for testing purposes but the result is unexpected so can you guide me on the correct to do it or any changes can you do in the upcoming release it can be appreciated. this is the basic suggestion from my side.I am thinking why don't we do it in the MongoDB other than going to python for random values.

   mongodb: For random numbers to generate based on the _id:

   If you insert the sample of 1k documents and test this query you will duplicates in the numbers and the count will also decrease.

   1st Method: [
   {
   $addFields: {
   numbers: {
   $regexFindAll: {
   input: {
   $toString: "$id",
   },
   regex: "[0-9]+",
   },
   },
   alpha: {
   $regexFindAll: {
   input: {
   $toString: "$id",
   },
   regex: "[a-z]+",
   },
   },
   },
   },
   {
   $project: {
   numbers: {
   $reduce: {
   input: "$numbers.match",
   initialValue: "",
   in: {
   $concat: ["$$value", "$$this"],
   },
   },
   },
   },
   },
   {
   $group: {
   _id: "$numbers",
   },
   },
   {
   $count: "string",
   },
   ]

   2nd Method:

   {
   $let: {
   vars: {
   monthsInString: [
   "",
   "JAN",
   "FEB",
   "MAR",
   "APR",
   "MAY",
   "JUN",
   "JUL",
   "SEP",
   "OCT",
   "NOV",
   "DEC",
   ],
   },
   in: {
   $arrayElemAt: [
   "$$monthsInString",
   {
   $toInt: {
   $dateToString: {
   format: "%m",
   date: "$dtCollected",
   },
   },
   },
   ],
   },
   },
   },

   Like this can you do for alphabetics so that we can convert the alphabetic to numbers then we can have random values which are unique in numbers .

   Can you please check and let me know if any changes I have done wrong from my side or any other way to generate the random values in numbers in the project stage.

   Why don't we do in mongodb instead of going to python for some random number which have unique values.

   Hi,

   This is the basic suggestion from my side.we have a unique "_id" in each document while inserting the data can we make any changes in your code for example in our company we have one scenario while working on the aggregation query they need auto-generated value in numbers so it is not possible in the MongoDB.

   so I thought we can do that thing based on the _id. because we have a unique field then i converted the _id to string and separated the numbers and alphabetic separately but we don't have unique values the after separating the numbers… more

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5. Changes in the objectID which is unique.1

   Hi,

   This is the basic suggestion from my side.we have a unique "_id" in each document while inserting the data can we make any changes in your code for example in our company we have one scenario while working on the aggregation query they need auto-generated value in numbers so it is not possible in the MongoDB.

   so I thought we can do that thing based on the _id. because we have a unique field then i converted the _id to string and separated the numbers and alphabetic separately but we don't have unique values the after separating the numbers from the objectId.

   can we do anything that generation in the objectId based on the numbers or can we have anything like alphabetic have separate numbers like using the let variable like what we did for getting the months and days.

   if you do any one of them we can do auto-generation which is unique in numbers for every document either changing in the generation in objectId or adding the alphabetic to numbers like months and days

   I am sending the query that I have used in my organization for testing purposes but the result is unexpected so can you guide me on the correct to do it or any changes can you do in the upcoming release it can be appreciated. this is the basic suggestion from my side.I am thinking why don't we do it in the MongoDB other than going to python for random values.

   mongodb: For random numbers to generate based on the _id:

   If you insert the sample of 1k documents and test this query you will duplicates in the numbers and the count will also decrease.

   1st Method: [
   {
   $addFields: {
   numbers: {
   $regexFindAll: {
   input: {
   $toString: "$id",
   },
   regex: "[0-9]+",
   },
   },
   alpha: {
   $regexFindAll: {
   input: {
   $toString: "$id",
   },
   regex: "[a-z]+",
   },
   },
   },
   },
   {
   $project: {
   numbers: {
   $reduce: {
   input: "$numbers.match",
   initialValue: "",
   in: {
   $concat: ["$$value", "$$this"],
   },
   },
   },
   },
   },
   {
   $group: {
   _id: "$numbers",
   },
   },
   {
   $count: "string",
   },
   ]

   2nd Method:

   {
   $let: {
   vars: {
   monthsInString: [
   "",
   "JAN",
   "FEB",
   "MAR",
   "APR",
   "MAY",
   "JUN",
   "JUL",
   "SEP",
   "OCT",
   "NOV",
   "DEC",
   ],
   },
   in: {
   $arrayElemAt: [
   "$$monthsInString",
   {
   $toInt: {
   $dateToString: {
   format: "%m",
   date: "$dtCollected",
   },
   },
   },
   ],
   },
   },
   },

   Like this can you do for alphabetics so that we can convert the alphabetic to numbers then we can have random values which are unique in numbers .

   Can you please check and let me know if any changes I have done wrong from my side or any other way to generate the random values in numbers in the project stage.

   Why don't we do in mongodb rather than python.

   can you please add this secenrio

   Hi,

   This is the basic suggestion from my side.we have a unique "_id" in each document while inserting the data can we make any changes in your code for example in our company we have one scenario while working on the aggregation query they need auto-generated value in numbers so it is not possible in the MongoDB.

   so I thought we can do that thing based on the _id. because we have a unique field then i converted the _id to string and separated the numbers and alphabetic separately but we don't have unique values the after separating the numbers… more

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6. One more dropdown option should be there for all Columns

   While Importing the files, the change of datatypes should have one more drop-down option to change all columns/field datatypes to strings/mixed/double/Int32/number, etc.

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   0 comments  ·  Import/Export  ·  Edit…  ·  Delete…  ·  Admin →
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7. cross cluster lookup (kind of)

   Hi,
   This is more of an add-on request for the aggregate().

   Lets say we have two clusters , second clusters is derived from first cluster ( i-e some of the object ids in second cluster exist only in first cluster ).

   Now I want to do a lookup for the id in the first cluster from the second cluster , which is not possible.

   So , can we have another optional parameter in the aggregate function which allows us to pass the documents , over which we can apply the required stages ( i-e after using find() on cluster 2 , I will pass the result into an aggregate() call for cluster 1 ).

   example query ->
   db1 points to cluster1
   db2 point to cluster2.

   I am working on Node.js -
   let result=[];
   let response = await db2.find().forEach(item=>{
   result.push(item);
   });

   let lookupResponse = await db1.aggregate([<stages>],{},result);

   Here in the second query , the documents in which the aggregate stages should work
   is the documents present in the variable 'result'.

   I hope I was able to explain my idea.
   It would really help if this is added in the next update.

   Thanks,
   Dushyant.

   Hi,
   This is more of an add-on request for the aggregate().

   Lets say we have two clusters , second clusters is derived from first cluster ( i-e some of the object ids in second cluster exist only in first cluster ).

   Now I want to do a lookup for the id in the first cluster from the second cluster , which is not possible.

   So , can we have another optional parameter in the aggregate function which allows us to pass the documents , over which we can apply the required stages ( i-e after using find() on cluster 2… more

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   under review  ·  1 comment  ·  Aggregation pipeline builder  ·  Delete…  ·  Admin →
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8. Save export CSV configured fields in favourite query

   In case of exporting the result of a find query in a CSV file, at the moment (v. 1.36.4) we need to select which fields we are interested at the first time and in case of reuse of the favourite query we need to select these fields again.
   In fact, in the default behaviour, all fields are selected from the sampled result in the CSV exporting process.

   One way could be to save the selected fields from the CSV export configuration in the favourite query settings.

   Other ideas?

   Thanks.

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9. Yellow triangle icon for "drop index" and other caution messages

   In MongoDB Compass, when I use the Drop Index functionality you get when clicking the "trash can" icon next to an index in the Indexes list on a collection, it shows a red "!" triangle icon in the upper left. That icon is used here to mean "Caution! You are about to do something dangerous!", as confirmed in Support case https://support.mongodb.com/case/01122132.

   I think it's more conventional to use red icons, especially "!" or triangles like this, to indicate that an error has occurred, and warnings or cautions are more conventionally indicated in yellow. (There's probably some UI/UX documents or standards out there that cover this, but I don't know UI/UX that well.) Maybe this icon should be yellow instead? And only change to red if there was an error performing a requested Drop Index action?

   Cheers,
   Andrew

   In MongoDB Compass, when I use the Drop Index functionality you get when clicking the "trash can" icon next to an index in the Indexes list on a collection, it shows a red "!" triangle icon in the upper left. That icon is used here to mean "Caution! You are about to do something dangerous!", as confirmed in Support case https://support.mongodb.com/case/01122132.

   I think it's more conventional to use red icons, especially "!" or triangles like this, to indicate that an error has occurred, and warnings or cautions are more conventionally indicated in yellow. (There's probably some UI/UX documents or… more

   •  

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10. Query console like the one in Datagrip

    We need a query console like the one in the Datagrip IDE from JetBrains so that we can make any query as well as add comments or saving all these queries in the MongoDB Compass

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11. Automatic scrolling in Mongosh CLI in Mongo Compass

    Scroll down automatically to the end of the Mongosh CLI in Mongo Compass when entering quries like db.Collection.Find()

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12. I documents section to have mode to view and edit DbRef content instead of DbRef Objects.

    I would like to have a mode to view and edit DbRef content, in the same way as the DRef Object fields are edited now. The idea is to see in the documents section all data linked. See and edit the data in a comfortable casual way.

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    0 comments  ·  Create and edit documents  ·  Edit…  ·  Delete…  ·  Admin →
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13. Export the analysed schema as Typescript interface or type

    After analysing the schema, it is shown which types the fields have. It would be very nice if it could be exported as typescript interface or type accordingly.

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14. Option to always show the Project, Sort and Collation options

    Every new tab always has the Project, Sort and Collation options hidden by default, with only the Filter input displayed. You have to click "more options" to show the additional controls.

    I understand the space-saving rationale of this, but I use the sort option for easily 90% of queries I run, which makes clicking the 'more options' every time a bit of unnecessary friction.

    Maybe you could provide an option in settings to "always show all query options"? Or remember the last expanded/contracted state, and default to opening all new tabs in the same state?

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15. Mobile app

    It would make viewing/editing db documents on mobile easier. Currently it is very difficult

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16. Tabs disappear when dropping a view

    Regression in v1.36.2: when dropping a view (and probably a collection, I didn't check) that was an open tab, all open tabs disappear. Then they reappear if you select a collection (or view) that was opened previously. If another collection (or view) is selected, then previously opened tabs will disappear in favor to the new selection

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17. Save queries to github for sharing with team

    Make compas able to hook up to github so you can share queries easily with your team. Insomnia does this very well

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18. Be able to edit, duplicate, delete projected documents

    When I add a projection, I can't edit, duplicate, or delete the documents. I want to be able to do this.

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19. Better highlighting for reading/writing JSON

    I use other editors for reading/writing JSON because they have better highlighting. I wish there was better highlight for reading/writing JSON in Compass.

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20. Populate collections that I create with fake data

    I want to be able to easily add a large volume of documents with fake data to collections that I create via the UI.

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