Objective: I want to count the occurrences of an id matching between arrays
The code below finds the match but we need to count the result
var arr1 = [
{
"image" : "FF815_1.jpg",
"id" : "NO"
}, {
"image" : "FF815_0.jpg",
"id" : "NO"
}, {
"image" : "FF815_4.jpg",
"id" : "NO"
}, {
"image" : "PIOJD_2.jpg",
"id" : "NO"
}, {
"image" : "PIOJD_4.jpg",
"id": "JD"
} ];
var arr2 = [
{
"image" : "FF815_1.jpg",
"id" : "NO"
}, {
"image" : "FF815_0.jpg",
"id" : "NO"
}, {
"image" : "FF815_4.jpg",
"id" : "NO"
}, {
"image" : "PIOJD_2.jpg",
"id" : "JD"
}, {
"image" : "PIOJD_4.jpg",
"id" : "JD"
} ];
angular.forEach(arr1, function(value1, key1) {
angular.forEach(arr2, function(value2, key2) {
if (value1.id === value2.id) {
console.log(value2.id);
}
});
});
Heres a fiddle: https://jsfiddle.net/62s0ae7v/
Just add a simple counter like :
var counter = 0;
angular.forEach(arr1, function(value1, key1) {
angular.forEach(arr2, function(value2, key2) {
if (value1.image === value2.image) {
console.log(value2.image);
counter++;
}
});
});
console.log(counter);
Related
The data is like this:
{
"_id" : ObjectId("5ae9f2188857ce20f516315c"),
"meta" : {
"participants" : [
{
"gender" : [
{
"text" : "weiblich",
"id" : "LABEL.FEMALE"
}
]
},
{
"gender" : [
{
"text" : "männlich",
"id" : "LABEL.MALE"
}
]
},
{
"gender" : [
{
"text" : "weiblich",
"id" : "LABEL.FEMALE"
}
]
}
]
}
}
{
"_id" : ObjectId("5af00e1070bb5a707634cb12"),
"meta" : {
"participants" : [
{
"gender" : [
{
"text" : "männlich",
"id" : "LABEL.MALE"
}
]
},
{
"gender" : [
{
"text" : "männlich",
"id" : "LABEL.MALE"
}
]
}
]
}
}
{
"_id" : ObjectId("5af1ef01cfd317006694a6e6"),
"meta" : {
"participants" : [
{
"gender" : [
{
"text" : "weiblich",
"id" : "LABEL.FEMALE"
}
]
},
{
"gender" : [
{
"text" : "weiblich",
"id" : "LABEL.FEMALE"
}
]
}
]
}
}
So meta.participants contains some items with different properties e.g. gender with is also an array of one item (don't ask, historic reasons; it's always one item, never two and never empty).
I need a query which returns the documents which contains only male participants (the second doc 5af00e1070bb5a707634cb12).
I already tried my luck but I can't get it right.
These queries give me every doc which has a male participant:
{'meta.participants.gender.id': 'LABEL.MALE'}
{'meta.participants.gender': { $elemMatch: {id: 'LABEL.MALE'}}}
These queries give me 0 results..
{'meta.participants.gender': {id: 'LABEL.MALE'}}
{'meta.participants.gender[0]': { $elemMatch: {id: 'LABEL.MALE'}}}
Try the below:
db.collection.find({
"meta.participants": {
"$not": {
"$elemMatch": {
"gender.id": {
"$nin": [
"LABEL.MALE"
]
}
}
}
}
})
The query to retrieve documents with gender.id field do not have LABEL.FEMALE.
db.test.find( { "meta.participants.gender.id": { $ne: "LABEL.FEMALE" } } )
As such you don't need to use the $elemMatch for Single Query Condition (but, it not an error and the results will be same).
I have a MongoDB database whith a collection with this structure:
{
"_id" : ObjectId("5b670eefe94672265ca59428"),
"duration" : {
"start" : ISODate("2018-09-01T00:00:00.000Z"),
"end" : ISODate("2018-09-01T00:00:00.000Z")
},
"title" : "Example title.",
"description" : "<p>Hi example!</p>",
"slug" : "title",
"insertDate" : ISODate("2018-08-05T14:51:27.194Z"),
"webData" : [
{
"_id" : ObjectId("5bb1f082931c536950ade361"),
"webCode" : "be_mx",
"categories" : [
{
"_id" : ObjectId("3sdf43f34543et35tret435"),
"name" : "Category 1",
"webCode" : "be_mx",
"slug" : "category-1"
},{
"_id" : ObjectId("3sdf43f34543et35tretert"),
"name" : "Category 2",
"webCode" : "be_mx",
"slug" : "category-2"
}
]
}
],
"__v" : 6,
"lastEditionDate" : ISODate("2018-10-01T10:01:38.889Z")
}
I want to update all documents from this collection that has a categorie with a _id = "3sdf43f34543et35tret435" (in this example the "Category 1"), and I want to update this element category setting, for example, the slug to "category-3".
I tried to do that with this code:
Collection.update({
"webData.categories": {
$elemMatch: {
_id: ObjectId("3sdf43f34543et35tret435")
}
}
}, {
$set: {
webData: {
"categories.$.slug": "category-3"
}
}
}, {
multi: true
}, (err, res) => {
if (err) { console.log(err); }
console.log(res);
});
When I execute that, all the documents that have this category are edited but it's wrong because all the related categories are deleted.
Can you help me with this operation?
Thank you!
EDITED:
When I execute in my DB this query:
db.getCollection("scholarships").update({},
{ '$set': { 'webData.[].categories.$[category].slug': "nana" } },
{ multi: true, arrayFilters: [{ 'category._id': ObjectId("5b719d821f3f1131ec4524f6") }] })
Using in this time an arrayFilter, I receive this error:
The path 'webData.[].categories' must exist in the document in order to apply array updates."
I have this document in stored in my collection:
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"companyId" : ObjectId("570269639caabe24e4e4043e"),
"descriptions" : [
{ "id" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test" },
{ "id" : ObjectId("570cd8164fff3a20f88c0dc9"), "description" : "test1" },
{ "id" : ObjectId("570ce6ba4fff3a052c8c570f"), "description" : "etr" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71716"), "description" : "43" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71717"), "description" : "43" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71719"), "description" : "345" }
],
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test" },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test1" }
]
}
Now I'm trying to get the objects from the options array that are matching the descriptionId and here is how I'm doing it
db.CustomFields.find({companyId: ObjectId("570269639caabe24e4e4043e")},{"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")})
But the result contains only the descriptionId - the description property is missing.
here is how the result looks like:
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a") },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a") }
]
}
Why my query is not returning the full document from the array, but only a part of it? Can you give me a push?
EDIT
This is what I'm expecting to get from the query
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a", "description" : "test") },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a", "description" : "test1") }
]
}
You need to include the other query with "options.descriptionId" together with the companyId query and use projection to return just the array you want.
The following shows this:
db.customFields.find(
{
"companyId": ObjectId("570269639caabe24e4e4043e"),
"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")
},
{ "options": 1 }
);
Output
{
"_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{
"descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"),
"description" : "test"
},
{
"descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"),
"description" : "test1"
}
]
}
Try this
db.CustomFields.find({companyId: ObjectId("570269639caabe24e4e4043e"),"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")})
{
"todo" : {
"Kujbghnkj04t56-" : {
"id" : 1,
"tags" : [ {
"name" : "Italy"
}, {
"name" : "Australia"
} ],
"username" : "ABC"
},
"oPikoieew9oR-" : {
"id" : 2,
"tags" : [ {
"name" : "Switzerland"
} ],
"username" : "XYZ"
}
}
}
I am trying to search in Firebase according to tags name. My code is:
var tagRef = new Firebase(FURL+'/todo');
var tagCollection = $firebaseArray(tagRef);
tagCollection.$ref().orderByChild("tags").equalTo("Australia").once("value", function(dataSnapshot){
// code
});`
How can I get the snapshot of all data containing tag name as "Australia"
docs:
order1.filter = ['tag1','tag2']
order2.filter = ['tag1','tag2','tag3']
want to get:
query ['tag1','tag2'] -> (only order1)
query ['tag1','tag2','tag3'] -> (order1 and order2)
query ['tag1','tag2','tag3','tag4', etc ] -> (order1 and order2)
and
query ['tag1','tag3'] -> (null)
query ['tag2','tag3'] -> (null)
All values order.filter should be necessarily in the query array
How to do it? Tried directives $all, $in :(
You can do this with aggregation framework (there is no way to do this with regular find that I know of).
I think this is basically a duplicate so adjusting that code for your fields you get something like:
//sample documents:
> db.docs.find({},{_id:0})
{ "order" : 1, "filter" : [ "t1", "t2" ] }
{ "order" : 2, "filter" : [ "t1", "t2", "t3" ] }
var tagArray = [ "t1", "t2" ]; // array to "match"
db.docs.aggregate( [
{
"$project" : {
"order" : 1,
"filter" : 1,
"killFlag" : {
"$const" : [
true,
false
]
}
}
},
{
"$unwind" : "$filter"
},
{
"$unwind" : "$killFlag"
},
{
"$match" : {
"$nor" : [
{
"filter" : {
"$in" : tagArray
},
"killFlag" : true
}
]
}
},
{
"$group" : {
"_id" : "$order",
"filter" : {
"$addToSet" : "$filter"
},
"killFlag" : {
"$max" : "$killFlag"
}
}
},
{
"$match" : {
"killFlag" : false
}
},
{
"$project" : {
"_id" : 1,
"filter" : 1
}
}
]);