Issue with .populate() on array of arrays in Mongoose Model [duplicate] - arrays

In Mongoose, I can use a query populate to populate additional fields after a query. I can also populate multiple paths, such as
Person.find({})
.populate('books movie', 'title pages director')
.exec()
However, this would generate a lookup on book gathering the fields for title, pages and director - and also a lookup on movie gathering the fields for title, pages and director as well. What I want is to get title and pages from books only, and director from movie. I could do something like this:
Person.find({})
.populate('books', 'title pages')
.populate('movie', 'director')
.exec()
which gives me the expected result and queries.
But is there any way to have the behavior of the second snippet using a similar "single line" syntax like the first snippet? The reason for that, is that I want to programmatically determine the arguments for the populate function and feed it in. I cannot do that for multiple populate calls.

After looking into the sourcecode of mongoose, I solved this with:
var populateQuery = [{path:'books', select:'title pages'}, {path:'movie', select:'director'}];
Person.find({})
.populate(populateQuery)
.execPopulate()

you can also do something like below:
{path:'user',select:['key1','key2']}

You achieve that by simply passing object or array of objects to populate() method.
const query = [
{
path:'books',
select:'title pages'
},
{
path:'movie',
select:'director'
}
];
const result = await Person.find().populate(query).lean();
Consider that lean() method is optional, it just returns raw json rather than mongoose object and makes code execution a little bit faster! Don't forget to make your function (callback) async!

This is how it's done based on the Mongoose JS documentation http://mongoosejs.com/docs/populate.html
Let's say you have a BookCollection schema which contains users and books
In order to perform a query and get all the BookCollections with its related users and books you would do this
models.BookCollection
.find({})
.populate('user')
.populate('books')
.lean()
.exec(function (err, bookcollection) {
if (err) return console.error(err);
try {
mongoose.connection.close();
res.render('viewbookcollection', { content: bookcollection});
} catch (e) {
console.log("errror getting bookcollection"+e);
}

//Your Schema must include path
let createdData =Person.create(dataYouWant)
await createdData.populate([{path:'books', select:'title pages'},{path:'movie', select:'director'}])

Related

Cannot return documents based off a sorted index using Fauna DB

I'm bumbling my way through adding a back-end to my site and have decided to get acquainted with graphQL. I may be structuring things totally the wrong way, however from following some tutorials I have a React front-end (hosted on Vercel), so I have created an api folder in my app to make use of Vercel's serverless functions. I'm using Apollo server and I decided to go with Fauna as my database.
I've successfully been able to return an entire collection via my API. Now I wish to be able to return the collection sorted by my id field.
To do this I created an index which looks like this:
{
name: "sort_by_id",
unique: false,
serialized: true,
source: "my_first_collection",
values: [
{
field: ["data", "id"]
},
{
field: ["ref"]
}
]
}
I then was able to call this via my api and get back and array, which simply contained the ID + ref, rather than the associated documents. I also could only console log it, I assume because the resolver was expecting to be passed an array of objects with the same fields as my typedefs. I understand I need to use the ref in order to look up the documents, and here is where I'm stuck. An index record looks as follows:
[1, Ref(Collection("my_first_collection"), "352434683448919125")]
In my resolvers.js script, I am attempting to receive the documents of my sorted index list. I've tried this:
async users() {
const response = await client.query(
q.Map(
q.Paginate(
q.Match(
q.Index('sort_by_id')
)
),
q.Lambda((ref) => q.Get(ref))
)
)
const res = response.data.map(item => item.data);
return [... res]
}
I'm unsure if the problem is with how I've structured my index, or if it is with my code, I'd appreciate any advice.
It looks like you also asked this question on the Fauna discourse forums and got an answer there: https://forums.fauna.com/t/unable-to-return-a-list-of-documents-via-an-index/3511/2
Your index returns a tuple (just an array in Javascript) of the data.id field and the ref. You confirmed that with your example result
[
/* data.id */ 1,
/* ref */ Ref(Collection("my_first_collection"), "352434683448919125")
]
When you map over those results, you need to Get the Ref. Your query uses q.Lambda((ref) => q.Get(ref)) which passes the whole tuple to Get
Instead, use:
q.Lambda(["id", "ref"], q.Get(q.Var("ref")))
// or with JS arrow function
q.Lambda((id, ref) => q.Get(ref))
or this will work, too
q.Lambda("index_entry", q.Get(q.Select(1, q.Var("index_entry"))))
// or with JS arrow function
q.Lambda((index_entry) => q.Get(q.Select(1, index_entry)))
The point is, only pass the Ref to the Get function.

firebase firestore how to read from a subcollection [duplicate]

I thought I read that you can query subcollections with the new Firebase Firestore, but I don't see any examples. For example I have my Firestore setup in the following way:
Dances [collection]
danceName
Songs [collection]
songName
How would I be able to query "Find all dances where songName == 'X'"
Update 2019-05-07
Today we released collection group queries, and these allow you to query across subcollections.
So, for example in the web SDK:
db.collectionGroup('Songs')
.where('songName', '==', 'X')
.get()
This would match documents in any collection where the last part of the collection path is 'Songs'.
Your original question was about finding dances where songName == 'X', and this still isn't possible directly, however, for each Song that matched you can load its parent.
Original answer
This is a feature which does not yet exist. It's called a "collection group query" and would allow you query all songs regardless of which dance contained them. This is something we intend to support but don't have a concrete timeline on when it's coming.
The alternative structure at this point is to make songs a top-level collection and make which dance the song is a part of a property of the song.
UPDATE
Now Firestore supports array-contains
Having these documents
{danceName: 'Danca name 1', songName: ['Title1','Title2']}
{danceName: 'Danca name 2', songName: ['Title3']}
do it this way
collection("Dances")
.where("songName", "array-contains", "Title1")
.get()...
#Nelson.b.austin Since firestore does not have that yet, I suggest you to have a flat structure, meaning:
Dances = {
danceName: 'Dance name 1',
songName_Title1: true,
songName_Title2: true,
songName_Title3: false
}
Having it in that way, you can get it done:
var songTitle = 'Title1';
var dances = db.collection("Dances");
var query = dances.where("songName_"+songTitle, "==", true);
I hope this helps.
UPDATE 2019
Firestore have released Collection Group Queries. See Gil's answer above or the official Collection Group Query Documentation
Previous Answer
As stated by Gil Gilbert, it seems as if collection group queries is currently in the works. In the mean time it is probably better to use root level collections and just link between these collection using the document UID's.
For those who don't already know, Jeff Delaney has some incredible guides and resources for anyone working with Firebase (and Angular) on AngularFirebase.
Firestore NoSQL Relational Data Modeling - Here he breaks down the basics of NoSQL and Firestore DB structuring
Advanced Data Modeling With Firestore by Example - These are more advanced techniques to keep in the back of your mind. A great read for those wanting to take their Firestore skills to the next level
What if you store songs as an object instead of as a collection? Each dance as, with songs as a field: type Object (not a collection)
{
danceName: "My Dance",
songs: {
"aNameOfASong": true,
"aNameOfAnotherSong": true,
}
}
then you could query for all dances with aNameOfASong:
db.collection('Dances')
.where('songs.aNameOfASong', '==', true)
.get()
.then(function(querySnapshot) {
querySnapshot.forEach(function(doc) {
console.log(doc.id, " => ", doc.data());
});
})
.catch(function(error) {
console.log("Error getting documents: ", error);
});
NEW UPDATE July 8, 2019:
db.collectionGroup('Songs')
.where('songName', isEqualTo:'X')
.get()
I have found a solution.
Please check this.
var museums = Firestore.instance.collectionGroup('Songs').where('songName', isEqualTo: "X");
museums.getDocuments().then((querySnapshot) {
setState(() {
songCounts= querySnapshot.documents.length.toString();
});
});
And then you can see Data, Rules, Indexes, Usage tabs in your cloud firestore from console.firebase.google.com.
Finally, you should set indexes in the indexes tab.
Fill in collection ID and some field value here.
Then Select the collection group option.
Enjoy it. Thanks
You can always search like this:-
this.key$ = new BehaviorSubject(null);
return this.key$.switchMap(key =>
this.angFirestore
.collection("dances").doc("danceName").collections("songs", ref =>
ref
.where("songName", "==", X)
)
.snapshotChanges()
.map(actions => {
if (actions.toString()) {
return actions.map(a => {
const data = a.payload.doc.data() as Dance;
const id = a.payload.doc.id;
return { id, ...data };
});
} else {
return false;
}
})
);
Query limitations
Cloud Firestore does not support the following types of queries:
Queries with range filters on different fields.
Single queries across multiple collections or subcollections. Each query runs against a single collection of documents. For more
information about how your data structure affects your queries, see
Choose a Data Structure.
Logical OR queries. In this case, you should create a separate query for each OR condition and merge the query results in your app.
Queries with a != clause. In this case, you should split the query into a greater-than query and a less-than query. For example, although
the query clause where("age", "!=", "30") is not supported, you can
get the same result set by combining two queries, one with the clause
where("age", "<", "30") and one with the clause where("age", ">", 30).
I'm working with Observables here and the AngularFire wrapper but here's how I managed to do that.
It's kind of crazy, I'm still learning about observables and I possibly overdid it. But it was a nice exercise.
Some explanation (not an RxJS expert):
songId$ is an observable that will emit ids
dance$ is an observable that reads that id and then gets only the first value.
it then queries the collectionGroup of all songs to find all instances of it.
Based on the instances it traverses to the parent Dances and get their ids.
Now that we have all the Dance ids we need to query them to get their data. But I wanted it to perform well so instead of querying one by one I batch them in buckets of 10 (the maximum angular will take for an in query.
We end up with N buckets and need to do N queries on firestore to get their values.
once we do the queries on firestore we still need to actually parse the data from that.
and finally we can merge all the query results to get a single array with all the Dances in it.
type Song = {id: string, name: string};
type Dance = {id: string, name: string, songs: Song[]};
const songId$: Observable<Song> = new Observable();
const dance$ = songId$.pipe(
take(1), // Only take 1 song name
switchMap( v =>
// Query across collectionGroup to get all instances.
this.db.collectionGroup('songs', ref =>
ref.where('id', '==', v.id)).get()
),
switchMap( v => {
// map the Song to the parent Dance, return the Dance ids
const obs: string[] = [];
v.docs.forEach(docRef => {
// We invoke parent twice to go from doc->collection->doc
obs.push(docRef.ref.parent.parent.id);
});
// Because we return an array here this one emit becomes N
return obs;
}),
// Firebase IN support up to 10 values so we partition the data to query the Dances
bufferCount(10),
mergeMap( v => { // query every partition in parallel
return this.db.collection('dances', ref => {
return ref.where( firebase.firestore.FieldPath.documentId(), 'in', v);
}).get();
}),
switchMap( v => {
// Almost there now just need to extract the data from the QuerySnapshots
const obs: Dance[] = [];
v.docs.forEach(docRef => {
obs.push({
...docRef.data(),
id: docRef.id
} as Dance);
});
return of(obs);
}),
// And finally we reduce the docs fetched into a single array.
reduce((acc, value) => acc.concat(value), []),
);
const parentDances = await dance$.toPromise();
I copy pasted my code and changed the variable names to yours, not sure if there are any errors, but it worked fine for me. Let me know if you find any errors or can suggest a better way to test it with maybe some mock firestore.
var songs = []
db.collection('Dances')
.where('songs.aNameOfASong', '==', true)
.get()
.then(function(querySnapshot) {
var songLength = querySnapshot.size
var i=0;
querySnapshot.forEach(function(doc) {
songs.push(doc.data())
i ++;
if(songLength===i){
console.log(songs
}
console.log(doc.id, " => ", doc.data());
});
})
.catch(function(error) {
console.log("Error getting documents: ", error);
});
It could be better to use a flat data structure.
The docs specify the pros and cons of different data structures on this page.
Specifically about the limitations of structures with sub-collections:
You can't easily delete subcollections, or perform compound queries across subcollections.
Contrasted with the purported advantages of a flat data structure:
Root-level collections offer the most flexibility and scalability, along with powerful querying within each collection.

Get Firestore collection and sub-collection document data together

I have the following Firestore database structure in my Ionic 5 app.
Book(collection)
{bookID}(document with book fields)
Like (sub-collection)
{userID} (document name as user ID with fields)
Book collection has documentes and each document has a Like sub-collection. The document names of Like collection are user IDs who liked the book.
I am trying to do a query to get the latest books and at the same time trying to get the document from Like sub-collection to check if I have liked it.
async getBook(coll) {
snap = await this.afs.collection('Book').ref
.orderBy('createdDate', "desc")
.limit(10).get();
snap.docs.map(x => {
const data = x.data();
coll.push({
key: x.id,
data: data.data(),
like: this.getMyReaction(x.id)
});
}
async getMyReaction(key) {
const res = await this.afs.doc('Book/myUserID').ref.get();
if(res.exists) {
return res.data();
} else {
return 'notFound';
}
}
What I am doing here is calling the method getMyReaction() with each book ID and storing the promise in the like field. Later, I am reading the like value with async pipe in the HTML. This code is working perfectly but there is a little delay to get the like value as the promise is taking time to get resolved. Is there a solution to get sub-collection value at the same time I am getting the collection value?
Is there a solution to get sub-collection value at the same time I am getting the collection value?
Not without restructuring your data. Firestore queries can only consider documents in a single collection. The only exception to that is collection group queries, which lets you consider documents among all collections with the exact same name. What you're doing right now to "join" these two collections is probably about as effective as you'll get.
The only way you can turn this into a single query is by having another collection with the data pre-merged from the other two collections. This is actually kind of common on nosql databases, and is referred to as denormalization. But it's entirely up to you to decide if that's right for your use case.

How can I make a multiple options query with mongodb driver for nodejs?

I'm working in a MongoDB query with Nodejs and I have a problem that I can't resolve.
Let us supposed we have a lot of documents in Mongo and each document have a tags array
tags: [tag1, tag2, tag3]
Front-end are going to send the parameters and we want to make a query with those... How can I find every document inside Mongo with those tags. The tags can be differents, not all documents have the same tags but I want to pull each document that have almost one of those tags. I don't know if I make myself clear with this but I hope you'll help me.
PD: If the query works, we have more than 13 that I can apply so it needs to be something like dynamically query o something.
Regards
This is where the mongodb's aggregate function comes in play
lets say there is a database called books and we want to get books that contain lets say ['fantasy', 'sci-fi'] in its genres
db.book.aggregate([{
$match:{
genres:{
$in:['fantasy', 'sci-fi']
}
}
}])
this will get the result you want, finding all the books that contain either fantasy, or scifi
db.book.aggregate([{
$match:{
genres:{
$all:['fantasy', 'sci-fi']
}
}
}])
This will get all the books that have genres with both fantasy and sf
db.book.aggregate([{
$match:{
genres:{
$nin:['fantasy', 'sci-fi']
}
}
}])
This will fetch all the books that don't have these values
generate an $or condition in your code according to the parameters:
let or_array = [];
params.forEach(params, (tag_param) => {
or_array.push({tags: tag_param})
});
let or_cond = {$or: or_array};
now we just need a simple find query to retrieve the documents:
let results = model.find(or_cond);
results should contain the wanted documents.
** note that $or requires a none empty array so you should validate at least one parameter is received from the client side.

Query arrays values with Firebase

Is there any way to on Firebae to filter data in an array?
I have this model on my Firebase:
-KABIGeWnBMUKjLTcvp8
deviceToken:"7DE60240CB4B712F05A009F32358610C1327917E7E68409..."
favorites
0:"Masha"
1:"moksha"
name:"juan"
And the problem is that I can't find any method to get all "users" that contain a certain value on the "favorites" array field.
Nope, that's not an option See firebase equivalent to sql where in ().
Instead: invert your data structure to make this query possible:
items_by_favorites
"Masha"
"-KABIGeWnBMUKjLTcvp8"
"moksha"
"-KABIGeWnBMUKjLTcvp8"
Now you can look up the item keys for Masha with a simple read: ref.child('items_by_favorites/Masha') and then load each item:
ref.child('items_by_favorites/Masha').on('value', function(snapshot) {
snapshot.forEach(function(childSnapshot) {
var key = childSnapshot.key();
ref.child('items').child(key).once('value', function(itemSnapshot) {
console.log(itemSnapshot.val());
});
});
})
First of all your question is answered deep in the guide for retrieving data, which is where I got this answer. It's under complex queries, then range queries, should you want more info.
var ref = new Firebase("https://dinosaur-facts.firebaseio.com/dinosaurs");
ref.orderByChild("height").equalTo(25).on("child_added", function(snapshot) {
console.log(snapshot.key());
});
The basic idea is that you need to first order the reference by a common child value, and then call .equalTo() to end up with a query that yields what you want.
Also you can call order by child like
ref.orderByChild("height/sublevel")
To drill deeper in the tree.
FirebaseFirestore.instance.collection('your collection name').where('favorite', arrayContains: 'Masha').snapshot();

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