I got this sample data.
"array" : [
{"Id" : "1", "preferred" : false},
{"Id" : "1", "preferred" : true },
{"Id" : "2", "preferred" : false},
{"Id" : "2", "preferred" : false},]
And i would like to get out of it something like this.
"array2":[{"Id": 1, numOfTrue: 1, numOfFalse: 1},{"Id": 2, numOfTrue: 0, numOfFalse: 2}]
What i got so far is a way how to get unique id form initial array.
const unique = [...new Set(array.map(item => Id))];
Next step would be some forEach over array and comparing Id values and setting some counters for that boolean value. So before i dive into forEach solution i would like to ask if there is another way with using .filter() and .reduce() methods.
You can use reduce() to build a grouping object keyed to Id. Each time you see that Id again increment the value at the appropriate key. In the end your array will be the Object.values() of the object:
let array = [
{"Id" : "1", "preferred" : false},
{"Id" : "1", "preferred" : true },
{"Id" : "2", "preferred" : false},
{"Id" : "2", "preferred" : false}
]
let counts = array.reduce((counts, {Id, preferred}) => {
// If you haven't seen this Id yet, make a new entry
if (!counts[Id]) counts[Id] = {Id, numOfTrue: 0, numOfFalse: 0}
// increment the appropriate value:
if (preferred) counts[Id].numOfTrue++
else counts[Id].numOfFalse++
return counts
}, {})
// get the values array of the object:
console.log(Object.values(counts))
Related
hello i need help with array , as you can see my data
{
"age" : "18",
"altKategoriler" : [ "Dramalar" ],
"category" : [ "Aksiyon", "Heyecanlı", "Gerilim" ],
"id" : 5240718100,
"img" : "https://i.ibb.co/k8wx5C8/AAAABW9-ZJQOg-MRljz-Zwe30-JZw-Hf4vq-ERHq6-HMva5-ODHln-Ci-OEV6ir-Rcjt88tcnm-QGQCKpr-K9h-Oll-Ln-Sbb-EI.jpg",
"izlenilmeSayisi" : 0,
"logo" : "https://i.ibb.co/Rb2SrcB/AAAABfcrhh-Rni-Ok-Ct2l-Rys-ZYk-Oi-T0-XTeagkrw-Mkm-U0h-Lr-WIQZHEHg-VXihf-OWCwz-Vv-Qd7u-Ffn-DFZEX2-Ob.webp",
"oyuncuKadrosu" : [ "Diego Luna", "Michael Pena", "Scoot McNairy", "Tenoch Huerta", "Joaquin Cosio" ],
"senarist" : [ "Doug Miro" ],
"time" : "3 Sezon",
"title" : "Narcos: Mexico",
"type" : "Dizi",
"videoDescription" : "Guadalajara Karteli'nin yükselişinin gerçek öyküsünü anlatan bu yeni ve cesur Narcos hikâyesinde, Meksika'daki uyuşturucu savaşının 1980'lerdeki doğuşuna tanıklık edin.",
"videoQuality" : "HD",
"videosrc" : "https://tr.vid.web.acsta.net/uk/medias/nmedia/90/18/10/18/19/19550785_hd_013.mp4",
"year" : "2021",
"yonetmen" : [ "Carlo Bernard", "Chris Brancato" ]
}
I can access elements such as id , title or logo because they are not arrays.
How can I loop through the data inside the array since there is an array in the category in yield?
var data = this.database.filter((item) => item.type == searchType)
var data = this.database.filter((item) => item.category == searchCategory)
It's okay because my type value doesn't have an array.
But when I enter my category value, it only gets the first index[0]. It does not look at other indexes.
in summary,
item.category[0] , item.category[1] , item.category[2]...........
How can I get index browsing like
if your data looks like this :
let data ={
"age" : "18",
"altKategoriler" : [ "Dramalar" ],
"category" : [ "Aksiyon", "Heyecanlı", "Gerilim" ],
"id" : 5240718100,
"img" : "https://i.ibb.co/k8wx5C8/AAAABW9-ZJQOg-MRljz-Zwe30-JZw-Hf4vq-ERHq6-HMva5-ODHln-Ci-OEV6ir-Rcjt88tcnm-QGQCKpr-K9h-Oll-Ln-Sbb-EI.jpg",
"izlenilmeSayisi" : 0,
"logo" : "https://i.ibb.co/Rb2SrcB/AAAABfcrhh-Rni-Ok-Ct2l-Rys-ZYk-Oi-T0-XTeagkrw-Mkm-U0h-Lr-WIQZHEHg-VXihf-OWCwz-Vv-Qd7u-Ffn-DFZEX2-Ob.webp",
"oyuncuKadrosu" : [ "Diego Luna", "Michael Pena", "Scoot McNairy", "Tenoch Huerta", "Joaquin Cosio" ],
"senarist" : [ "Doug Miro" ],
"time" : "3 Sezon",
"title" : "Narcos: Mexico",
"type" : "Dizi",
"videoDescription" : "Guadalajara Karteli'nin yükselişinin gerçek öyküsünü anlatan bu yeni ve cesur Narcos hikâyesinde, Meksika'daki uyuşturucu savaşının 1980'lerdeki doğuşuna tanıklık edin.",
"videoQuality" : "HD",
"videosrc" : "https://tr.vid.web.acsta.net/uk/medias/nmedia/90/18/10/18/19/19550785_hd_013.mp4",
"year" : "2021",
"yonetmen" : [ "Carlo Bernard", "Chris Brancato" ]
}
and if we have array of data you can do something like this :
myArray.filter(item=>item.category.indexOf(searchCategory)>=0)
but if you want to explore in object rather than array you can do this :
data.category.indexOf(searchCategory)>=0
You could make this a bit generic, by testing whether the targeted field is an array, using Array.isArray, and then call a filter on each element, and see if any is positive (using .some()). The filter can be function that is provided, so that it can perform a simple match, or apply a regular expression, or anything else.
Instead of testing with Array.isArray you could skip that step and check whether the value has a .some() method. If so, calling it will give the desired outcome, and otherwise (using the .? and ?? operators), the filter should be applied to the value as a whole:
Here is how that looks:
function applyFilter(data, field, filter) {
return data.filter(item => item[field]?.some(filter) ?? filter(item));
}
// Example use:
var data = [{
"category" : [ "Action", "Thriller", "Horror"],
"type" : "Series",
}, {
"category" : [ "Historical", "Romance" ],
"type" : "Theatre",
}];
// Find entries that have a category that looks like "roman*":
var result = applyFilter(data, "category", value => /^roman.*/i.test(value));
console.log(result);
If you are running on an older version of JavaScript, and don't have support for .? or ??, then use:
return data.filter(item => Array.isArray(item[field])
? item[field].some(filter)
: filter(item));
When I try to find specific object in array using find({query}) I always get all elements from array.
Activities array stores activities (it would be a thousands of them) as you can see in the following snippet:
This is my collection:
{
"_id" : ObjectId("58407140755324d04db2ce95"),
"owner" : 103429326776572,
"activities" : [
{
"name" : "test1",
"startTime" : ISODate("2016-08-11T17:41:54Z"),
"type" : "te1",
"lat" : 1,
"lon" : 1,
"creator" : 126212904493088,
"coverPhoto" : {
"name" : "test1",
"path" : "c:\\Users\\Francis\\Desktop\\dusk\\public\\coverPhotos\\SJ9tpP6Mx.jpg"
},
"identifier" : "H1g9F6vpGl",
"users" : [
1,
2,
3
],
"hashTags" : [
"some",
"hashtags"
]
},
{
"name" : "test2",
"startTime" : ISODate("2016-08-11T17:41:53Z"),
"type" : "te2",
"lat" : 1,
"lon" : 1,
"creator" : 103312904493090,
"coverPhoto" : {
"name" : "test2",
"path" : "c:\\Users\\Francis\\Desktop\\dusk\\public\\coverPhotos\\Hy8qpvafe.jpg"
},
"identifier" : "rJlU5TvpMx",
"users" : [
1,
2,
3
],
"hashTags" : [
"some",
"hashtags"
]
}
]
}
I need to get for example an activity that has specific identifier.
I tried to use queries like:
1) db.myCollection.find({'activities.identifier' : "rJlU5TvpMx"})
2) db.myCollection.find({'activities' : { $elemMatch : { "identifier" : "rJlU5TvpMx", "creator" : 103312904493090 } })
And all combinations with '' or "" signs
I found above queries at mongodb docs in equal documents schema as mine is.
Can you tell me what am I doing wrong ?
You can try either use single match or multiple match based on your need. This makes use of $elemMatch(projection)
db.myCollection.find({"_id" : ObjectId("58407140755324d04db2ce95")},
{activities: {$elemMatch: { identifier: "rJlU5TvpMx"}}})
db.myCollection.find( {"_id" : ObjectId("58407140755324d04db2ce95")},
{activities: {$elemMatch: {creator : 103312904493090, identifier: "rJlU5TvpMx" }}})
You are looking for the projection object which gets passed as an argument in your query. It allows the return of specific fields from your search rather than the entire document. http://mongoosejs.com/docs/api.html#model_Model.find
I would also suggest looking at the response to this question here: Mongoose Query: Find an element inside an array which makes use of the unwind operator to enter the array as it seems to be relevant to your needs.
In the collection you are searching in, you have just one Document(Object). If you apply method find() to your collection and the query inside matches the value in activities.identifier it will return the only Document(object).
To have a better understanding of what I am talking about check example on mongoose API doc
And query result here.
Try check this out https://docs.mongodb.com/v3.0/reference/operator/projection/elemMatch/#proj._S_elemMatch instead
I am a little confused in how to proceed with this scenario using ramda. Here is the JSON that I am working with.
{
"type" : "CartWsDTO",
"Cartentries" : [ {
"entryNumber" : 1,
"flightGroup" : {
"PAXDetails" : [ {
"paxID" : "1",
"paxPrice" : "770.82",
"paxType" : "ADT"
}, {
"paxID" : "2",
"paxPrice" : "770.82",
"paxType" : "ADT"
} ]
}
}, {
"entryNumber" : 2,
"flightGroup" : {
"PAXDetails" : [ {
"paxID" : "1",
"paxName" : "Vinitha",
"paxPrice" : "770.82",
"paxSurname" : "Vinitha",
"paxType" : "ADT"
}, {
"paxID" : "2",
"paxName" : "Prahal",
"paxPrice" : "770.82",
"paxSurname" : "Prahal",
"paxType" : "ADT"
} ]
}
} ]
}
There are 2 CartEnteries in the above JSON. There is an array named paxDetails in flightGroup of each entry. From this paxDetails array I want to pick the paxPrice and make a sum of all the pax prices for that cart entry. In traditional for loop and if conditions I am able to achieve it. But using Ramda I couldn't understand how to start with. Kindly provide me a solution.
Thanks in advance.
It's not entirely clear to me what you're looking for as output. Here's a solution that simply returns the sum of the two sets of prices and returns an array with those values:
var calcTotals = R.pipe(
R.prop('Cartentries'),
R.map(R.pipe(
R.path(['flightGroup', 'PAXDetails']),
R.map(R.pipe(R.prop('paxPrice'), Number)),
R.sum
))
);
calcTotals(cart); //=> [1541.64, 1541.64]
But if you wanted a different sort of output, such as
{1: 1541.64, 2: 1541.64}
or
[{entryNumber : 1, total: 1541.64}, {entryNumber: 2. total: 1541.64}]
or whatever, you'd have to make some changes.
In JavaScript, I have the following array of json objects and I would like to change those ticked with 'false' to 'true'. I am currently using the _.map() function in Underscore.js, is there a more efficient way of selecting the 'false' elements and only modify them?
var arrOfJson = [
{"name" : "Tom", "ticked" : false},
{"name" : "John", "ticked" : true},
{"name" : "Patrick", "ticked" : false},
{"name" : "Dave", "ticked" : true}
];
_.map(arrOfJson, function(entry){
entry.ticked = false;
return entry;
});
Thats pretty efficient. Im the author of open source project http://www.jinqJs.com. You could do something like this using javaScript LINQ expression
var result = jinqJs().from(arrOfJson).select([{field: 'name'}, {text:'ticked', value: true}]);
I have a mongodb collection which has documents like this :
{
"_id" : ObjectId("safdsd435tdg54trgds"),
"startDate" : ISODate("2013-07-02T17:35:01.000Z"),
"endDate" : ISODate("2013-08-02T17:35:01.000Z"),
"active" : true,
"channels" : [
1, 2, 3, 4
],
}
I want to convert this to something like this :
{
"_id" : ObjectId("safdsd435tdg54trgds"),
"startDate" : ISODate("2013-07-02T17:35:01.000Z"),
"endDate" : ISODate("2013-08-02T17:35:01.000Z"),
"active" : true,
"channels" : [
1, 2, 3, 4
],
"tags" :[
{
"name": one
"type": channel
},
{
"name": two
"type": channel
},
{
"name": three
"type": channel
},
{
"name": four
"type": channel
}
]
}
I already have a mapping of what 1,2,3,4 mean. Just for the sake of simplicity I put them as their alphabetical format. the values could be different, but they're static mappings.
You seem to be trying to do this update without a big iteration of your collection, So you "could" do this with mapReduce, albeit in a very "mapReduce way" as it has it's own way of doing things.
So first you want to define a mapper that encapsulates your current document :
var mapFunction = function (){
var key = this._id;
var value = {
startDate: this.startDate,
endDate: this.endDate,
active: this.active,
channels: this.channels
};
emit( key, value );
};
Now here the reducer is actually not going to be called as all the keys from the mapper will be unique, being of course the _id values from the original document. But to make the call happy:
var reduceFunction = function(){};
As this is a one to one thing this will go to finalize. It could be in the mapper, but for cleanliness sake
var finalizeFunction = function (key, reducedValue) {
var tags = [
{ name: "one", type: "channel" },
{ name: "two", type: "channel" },
{ name: "three", type: "channel" },
{ name: "four", type: "channel" }
];
reducedValue.tags = [];
reducedValue.channels.forEach(function(channel) {
reducedValue.tags.push( tags[ channel -1 ] );
});
return reducedValue;
};
Then call the mapReduce:
db.docs.mapReduce(
mapFunction,
reduceFunction,
{
out: { replace: "newdocs" },
finalize: finalizeFunction
}
)
So that will output to a new collection, but in the way that mapReduce does it so you have this:
{
"_id" : ObjectId("53112b2d0ceb66905ae41259"),
"value" : {
"startDate" : ISODate("2013-07-02T17:35:01Z"),
"endDate" : ISODate("2013-08-02T17:35:01Z"),
"active" : true,
"channels" : [ 1, 2, 3, 4 ],
"tags" : [
{
"name" : "one",
"type" : "channel"
},
{
"name" : "two",
"type" : "channel"
},
{
"name" : "three",
"type" : "channel"
},
{
"name" : "four",
"type" : "channel"
}
]
}
}
So all your document fields other than _id are stuck under that value field, so that's not the document that you want. But that is how mapReduce works.
If you really need to get out of jail from this and are willing to wait a bit, the upcoming 2.6 release has added an $out pipeline stage. So you "could" transform the documents in your new collection with $project like this:
db.newdocs.aggregate([
// Transform the document
{"$project": {
"startDate": "$value.startDate",
"endDate": "$value.endDate",
"active": "$value.active",
"channels": "$value.channels",
"tags": "$value.tags"
}},
// Output to new collection
{"$out": "fixeddocs" }
])
So that will be right. But of course this is not your original collection. So to back to that state you are going to have to .drop() collections and use .renameCollection() :
db.newdocs.drop();
db.docs.drop();
db.fixeddocs.renameCollection("docs");
Now please READ the documentation carefully on this, there are several limitations, and of course you would have to re-create indexes as well.
All of this, and in particular the last stage is going to result in a lot of disk thrashing and also keep in mind that you are dropping collections here. It almost certainly is a case for taking access to your database off-line while this is performed.
And even as such the dangers here are real enough that perhaps you can just live with running an iterative loop to update the documents, using arbitrary JavaScript. And if you really must have to do so, you could always do that using db.eval() to have that all execute on the server. But if you do, then please read the documentation for that very carefully as well.
But for completeness even if I'm not advocating this:
db.eval(function(){
db.docs.find().forEach(function(document) {
var tags = [
{ name: "one", type: "channel" },
{ name: "two", type: "channel" },
{ name: "three", type: "channel" },
{ name: "four", type: "channel" }
];
document.tags = [];
document.channels.forEach(function(channel) {
document.tags.push( tags[ channel -1 ] );
});
var id = document._id;
delete document._id;
db.docs.update({ "_id": id },document);
});
})