{
 "_id" : "Sh",

"Name" : "HR",
"Form" : [
    {
        "Name" : "HR",
        "Permission" : {},
        "Fields" : [
            {
                "OutputFormat" : "Text",
                "Validation" : [],
                "Name" : "PASS",
                "Permission" : {
                    "Hidden" : [
                        "ac"
                    ]
                },
                "IsFormulaArg" : false,
                "MaxCharacters" : 100.0,
                "Label" : "PASS",
                "Widget" : "Dropdown",
                "DefaultPermission" : [],
                "Dropdown" : "me",
                "Score" : 1,
                "PermissionType" : "Hidden",
                "Id" : "me"
            },


            {
                "OutputFormat" : "dd/MM/yyyy",
                "NodeList" : {
                    "Score" : 2,
                    "Type" : "CellReference",
                    "Id" : "jdk2",
                    "Value" : null,
                    "CellMetadata" : {
                        "72uw" : "CreatedAt"
                    }
                },
                "Name" : "Date_Prepared",
                "Permission" : {},
                "IsFormulaArg" : false,
                "Required" : true,
                "Widget" : "Date",
                "Label" : "Date Prepared",
                "Score" : 2,
                "FormulaStr" : "CreatedAt",
                **"Formula" : "True",**
      …

So i have a user schema like this:

var user_schema = new Schema({
   username:{type:String,required: true, unique : true, trim: true},
   college:{type:String,required: true},
   password:{type:String,required: true, trim: true},
   email:{type:String,required: true, unique : true, trim: true},
   phone:{type:Number,required: true, unique : true, trim: true},
   dp:{type:String},
   tag:{type:String},
   description:{type:String},
   friends:[{type:String}],
   pending:[{type:String}],
   skills:{type:String},
   bucket:[{type:String}]
  });

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and my objective is, to search the all the documents in the collection to get people based on the following conditions:

1. They should not be in the users' "friends" array.
2. They should not be in the users' "pending" array.
3. They should have the same "tag" (a string value) as the user.

So, basically I have to compare the users' fields ("friends","pending" and "tags"), with fields of all documents in the whole collection.

How do I do it, using mongoose (nodejs mongodb library)

How to import collections from mongodb from cli?

How do MongoDB and Active Directory go together?

I have a small bit of exposure to MongoDB and  Active Directory as well. But is there so synergy of using them together?

Curious..

Thanks

In MongoDb collection a DateTime field is stored in MST dateTime format for over 1 millions of record for a older record and now new records in utc dateTime format,
  Is there any cost effective query to update the date property in collections for those old recordsin MST dateTime
  (update the registered date format from MST to UTC format i.e. update time + 7:00 hr of each of these record)? We have MongoDb 3.3 version.

I'm having difficulty putting a complex(to me) aggregation query together for my data. Basically, here's the run down so everyone understands my conundrum.

I have two collections in this equation. "training_documents" and "users". Each user object has a key identified by name "trainings" which is an array of objects. Each object within this trainings array, contains 4 key/value pairs. An example of each object is below.

    {
    	"document": ObjectId('5a0350ad7df0977d94cffab6'),
    	"trainee": ObjectId('59e51a4b7df0977d94cff95d'),
    	"trainer": ObjectId('595fcc2e04cf707693257890'),
    	"completion_time": "2018-04-23T21:28:22.747Z"
    }

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The users trainings array will contain many objects following the aforementioned format.

An example user data structure is below for reference.

   

 [
    	{
    		"_id": "5ad782283c55b056bcc39e3z",
    		"site": {
    			"site_id": "site1",
    			"site_name": "Site One"
    		},
    		"user_name": "jsmith",
    		"first_name": "John",
    		"middle_name": "A",
    		"last_name": "Smith",
    		"full_name": "John Smith",
    		"title": "Duh Boss...",
    		"email": "testuser@example.com",
    		"last_login": "2018-04-27T14:27:27.014Z",
    		"type": "full-time",
    		"active": true,
    		"__v": 0,
    		"badge_id": "000001780343232123",
    		"trainings": [
    			{
    				"document": ObjectId('5ae33622a766885a121b7362'),
    				"trainee": 

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…

hi,

anyone know how to intergrate MariaDB and Mongo DB so that they work together well ?

how about MariaDB and hadoop?

nodeJs and MongoDB
I Would like to  Create a dynamic navbar with mean stack a navbar that the admin can modify it navbar has
Main Categoy
Sub Categories title
sub category
example image https://prnt.sc/j3nxz7

Mongo 2.6.12

Not a mongo admin just trying to figure out an issue no one else wants to take on.

Mongo is flushing logs after 24 hours, where is that configuration set or better yet what command can I run against a collection to see the details of log retention?

Hi,

I have a text file which has multiple json rows in it.

What I need to do is the following:-

1. Read thru the file
2. Select only certain elements not all, remap to a new name for example AuthenticationId could be AuthId
3. Ingest in to MongoDB as JSON

How can this be achieved in Python?

{"AuthenticationId":"997","CommandLine":"C:\\Windows\\system32\\wbem\\wmiprvse.exe -secured -Embedding","ConfigBuild":"1007.3.0005907.1","ConfigStateHash":"3163607488","EffectiveTransmissionClass":"3","Entitlements":"15","ImageFileName":"\\Device\\HarddiskVolume3\\Windows\\System32\\wbem\\WmiPrvSE.exe","ImageSubsystem":"2","IntegrityLevel":"16384","MD5HashData":"1df2fc82b861bc9612657d1661e9ae33","ParentAuthenticationId":"997","ParentProcessId":"1627804482161","ProcessCreateFlags":"16","ProcessEndTime":"","ProcessParameterFlags":"24577","ProcessStartTime":"1512962460","ProcessSxsFlags":"64","RawProcessId":"9276","SHA1HashData":"1aa3fda50123dd14a055b4d6601beedead69fe11","SHA256HashData":"835f2a94e47830b06654e484bf7a1cc0b9882f579716dca198e32d22218a07e5","SourceProcessId":"1627804482161","SourceThreadId":"39913451443946","TargetProcessId":"1756187997441","TokenType":"2","UserSid":"S-1-5-19","aid":"2bc82f8878df4b9f7712273e755a93be","aip":"105.255.135.108","cid":"99cdff8f89af458d858c3d6b3e312e11","event_platform":"Win","event_simpleName":"ProcessRollup2","id":"4ff73eae-de22-11e7-a0dd-06e913674db2","name":"ProcessRollup2V6","timestamp":"1512962460994"}

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…

Hello. I am working on a node application.  I'm trying to use Passport for the log in.   I found an example online of what I want to do.  However I cannot get it to work.  I am running into an issue with my routes.  I get a compiler error that I have not seen before.  I tried to attached the project to this question, but it won't accept zip files so I will just attach my index.js and AuthController.js.  This is the error I get on index.js when it tries to do my first route.
 

var auth = require("../controllers/AuthController.js");

// restrict index for logged in user only
router.get('/', auth.home);

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I get this error:  
index.js:349
throw new mongoose.Error.OverwriteModelError(name);
OverwriteModelError: Cannot overwrite `User` model once compiled.
at MongooseError.OverwriteModelError (C:\Users\ernest\Documents\coding bootcamp\code\Passport MongoDB\node-passport-auth\node_modules\mongoose\lib\error\overwriteModel.js:18:11)
    at Mongoose.model (C:\Users\ernest\Documents\coding bootcamp\code\Passport MongoDB\node-passport-auth\node_modules\mongoose\lib\index.js:349:13)
    at Object.<anonymous> (C:\Users\ernest\Documents\coding bootcamp\code\Passport MongoDB\node-passport-auth\models\user.js:12:27)
    at Module._compile (module.js:570:32)
    at Object.Module._extensions..js (module.js:579:10)
    at Module.load (module.js:487:32)
    at tryModuleLoad (module.js:446:12)
    at Function.Module._load (module.js:438:3)
    at Module.require …

I've been thinking to migrate my erp(java currently) from rdbms(firebird currently) to nosql (mongoDB likely) and i trying to antecipate some issues. I'm trying to make a "failproof" inventory control which never let a qty's item be smaller than 0. Offcourse i still get "ACID bias" which i need to left in order to complete this task. The goal is update inventory qty of all order's items when approve the order. For that, 2 problems can occur which currently are resolved with a trigger.

1.problem: order gets 2 items (ball = qty 2 and chair = qty 1) and there is no enough qty in inventory (ball = qty 1 and chair = qty 0) to complete the order. Once i trigger the command do complete the order, a loop is executed to decrease qty in inventory and fails on the second item cause there is no enough qty. Consequently rollback operation is trigged and everybody go home happy.

2.problem: in one word, concurrency. suppose there is no trigger controling this operation but only "selects and if". User 1 query inventory qtys, see enough qty (ball = 2, chair = 1) e system allow complete the order. While the transaction is running user 2 query same invetory qtys but because first transaction is not complete yet second query see "old" qty (ball = 2, chair = 1) e system also lets complete order. Consequently, 1 qty of chair is descreased twice, but shold be descreased only once and fail on the second. Result: i got negative qty.

I saw some workarrounds with inventory reservation but i …

I am trying to update a dict with values searched from mongoDB whose parameters are taken from another dict. What I have till now is:

    lst = {'a':1}
    b={'Name':'name_1', 'Address':'Address_1'}
    lst.update(k:coll.find({"_id":id}{v:1})) for k,v in b.items()

What is the right way to do this procedure?