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NDB Model Querying of Key Ids using an array filter


NDB Model Querying of Key Ids using an array filter

By : DWQQ
Date : November 22 2020, 10:40 AM
wish help you to fix your issue I'm trying to query an NDB model using a list of provided key id strings. The model has string ids that are assigned at creation - for example: , The following should work:
code :
keys = [ndb.Key(MyModel, anid) for anid in ids]
objs = ndb.get_multi(keys)


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Querying a Model Using an Array in Rails

Querying a Model Using an Array in Rails


By : Spajjjki
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I have two models, Question and Answer. , Question.where(id: @answers.map(&:question_id))
where for querying an array attribute in rails model

where for querying an array attribute in rails model


By : F Peter
Date : March 29 2020, 07:55 AM
may help you . I have a user model with an array of roles. , Depends on what "roles" means:
If it is an association as in
code :
class User < ActiveRecord::Base
  has_many :roles
end
Role.find_by_name("admin").users
User.all.select { |u| u.roles.include? "admin" }
How to filter array in ng-repeat on the basis of specific attribute in that json array and ng-model value of other drop

How to filter array in ng-repeat on the basis of specific attribute in that json array and ng-model value of other drop


By : Nathan Fish
Date : March 29 2020, 07:55 AM
Does that help I think you just want to use a more accurate filter ;)
You want to use filter:{'region_id': emriate} instead of filter:emriate
code :
<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.6.9/angular.min.js"></script> 
<script>
var app = angular.module('myApp', []);
app.controller('myCtrl', function($scope) {
$scope.emriates=[ 
{ "region_id": "1", "region_name": "Abu Dhabi" },
 { "region_id": "2", "region_name": "Ajman" },
  { "region_id": "3", "region_name": "Dubai" },
   { "region_id": "4", "region_name": "Fujairah" },
    { "region_id": "5", "region_name": "Ras al-Khaimah" },
     { "region_id": "6", "region_name": "Sharja" },
      { "region_id": "7", "region_name": "Umm al-Quwain" }
       ];

$scope.cities=[ 
{ "city_id": "2", "region_id": "1", "city_name": "Abudhabi" },
 { "city_id": "3", "region_id": "3", "city_name": "Dubai" },
  { "city_id": "4", "region_id": "2", "city_name": "Ajman" },
   { "city_id": "5", "region_id": "4", "city_name": "Fujairah" },
    { "city_id": "6", "region_id": "5", "city_name": "Ras al-Khaimah" },
     { "city_id": "7", "region_id": "6", "city_name": "Sharja" },
      { "city_id": "8", "region_id": "7", "city_name": "Umm al-Quwain" },
       { "city_id": "9", "region_id": "1", "city_name": "Al Ain" },
        { "city_id": "10", "region_id": "3", "city_name": "Jabel Ali" },
         { "city_id": "11", "region_id": "6", "city_name": "kalba" },
          { "city_id": "13", "region_id": "3", "city_name": "Jumeirah" },
           { "city_id": "14", "region_id": "3", "city_name": "Musaffah" },
            { "city_id": "15", "region_id": "10", "city_name": "Error 1" }
           ];
           
$scope.exactFilter = function(value) {
  return value.region_id === $scope.emriate;
};

});


</script>

<htmL>
	<body>
		<div  ng-app="myApp" ng-controller="myCtrl">
			<div>
				<label>Emriate
					<select ng-model="emriate">
						<option value="">-Select-</option>
						<option ng-repeat="emt in emriates" value="{{emt.region_id}}">{{emt.region_name}}</option>
					</select>
				</label>
			</div>
			<div style="margin-top: 10px;">
				<label>City
					<select ng-model="city">
						<option value="">-Select-</option>
						<option ng-repeat="cit in cities | filter:exactFilter" value="{{cit.city_id}}">{{cit.city_name}}</option>
					</select>
				</label>
			</div>
		</div>
	</body>
</htmL>
$scope.exactFilter = function(value) {
  return value.region_id === $scope.emriate;
};
Firestore : How to design a Data model to make querying documents that are not exist in an array possible?

Firestore : How to design a Data model to make querying documents that are not exist in an array possible?


By : user2310336
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I'm trying to find a way to properly desing my Data Model with Firestore. I'm looking for something similar to what Tinder does, showing you people that you have'nt swiped yet, based on your location. , A possible database structure for your app might be:
code :
Firestore-root
    |
    --- users (collection)
         |
         --- uid (document)
              |
              --- acceptedUsers: ["uidOne", "uidTwo"]
              |
              --- declinedUsers: ["uidThree", "uidFour"]
              |
              --- //Other user properties
Querying subdocuments array with filter and return original documents with mongoose

Querying subdocuments array with filter and return original documents with mongoose


By : user3227794
Date : March 29 2020, 07:55 AM
may help you . Taking a general case here where main documents may have others fields other than user and user doc itself may have other fields as well:
Sample docs:
code :
[
  {
    user: {
      comments: [
        { title: "mpla", active: true },
        { title: "mpla", active: false }
      ],
      name: "abc",
      gender: "male",
      createdDate: new Date("2019-04-01"),
      modifiedDate: new Date("2019-08-24")
    },
    story: {
      name: "a mocking bird",
      year: 1994,
      cost: "$5"
    }
  },
  {
    user: {
      comments: [
        { title: "nope", active: true },
        { title: "hello", active: true }
      ],
      name: "pqr",
      gender: "female",
      createdDate: new Date("2019-05-01"),
      modifiedDate: new Date("2019-09-24")
    },
    story: {
      name: "a kite runner",
      year: 2005,
      cost: "$2"
    }
  }
]
db.collection.aggregate([
  {
    $project: {
      _id: 1,
      story: 1,
      user: {
        name: 1,
        gender: 1,
        createdDate: 1,
        modifiedDate: 1,
        comments: {
          $filter: {
            input: "$user.comments",
            as: "comment",
            cond: { $eq: ["$$comment.active", true] }
          }
        }
      }
    }
  }
]).pretty();
{
    "_id" : ObjectId("5d8bb8c66926e92a334275d4"),
    "user" : {
        "name" : "abc",
        "gender" : "male",
        "createdDate" : ISODate("2019-04-01T00:00:00Z"),
        "modifiedDate" : ISODate("2019-08-24T00:00:00Z"),
        "comments" : [
            {
                "title" : "mpla",
                "active" : true
            }
        ]
    },
    "story" : {
        "name" : "a mocking bird",
        "year" : 1994,
        "cost" : "$5"
    }
},
{
    "_id" : ObjectId("5d8bb8c66926e92a334275d5"),
    "user" : {
        "name" : "pqr",
        "gender" : "female",
        "createdDate" : ISODate("2019-05-01T00:00:00Z"),
        "modifiedDate" : ISODate("2019-09-24T00:00:00Z"),
        "comments" : [
            {
                "title" : "nope",
                "active" : true
            },
            {
                "title" : "hello",
                "active" : true
            }
        ]
    },
    "story" : {
        "name" : "a kite runner",
        "year" : 2005,
        "cost" : "$2"
    }
}
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