I'm making a blog app using firebase.
I want to know the best practice of data structure.
As far as I know, there are 2 case. (I'm using react native)
case 1:
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
favorites
-userID
-favoriteList
-postID(onlyID)
-postID(onlyID)
In this case, for example, when we need to get favorite posts.
firebase.firestore().collection(`favorites/${userID}/favoriteList`)
.get()
.then((snapshot) => {
snapshot.forEach((favorite) => {
firebase.firestore().collection(`favorites/`).doc(`${favorite.id}`)
.get()
.then((post) => {
myPostList.push(post.data())
});
});
in this case, we can't order the favorite posts by createdDate
. So, need to sort client side. Even if so, we don't use limit() function.
case 2:
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
favorites
-userID
-favoriteList
-postID
-title,content,author(userID),createdDate,favoriteCount
-postID
-title,content,author(userID),createdDate,favoriteCount
firebase.firestore().collection(`favorites/${userID}/favoriteList`).orderBy('createdDate','desc').limit(30)
.get()
.then((snapshot) => {
snapshot.forEach((post) => {
myPostList.push(post.data())
});
});
in this case, When the favorite post is modified by the author, we have to update all of the favorite posts. (e.g. If 100 users save the post as a favorite, we have to update to 100 data.)
(And I'm not sure we can increment favoritecount
by a transaction, exactly same.)
I think if we use firebase.batch()
, we can manage it. But I think it seems Inefficient.
It seems that both ways are not perfect. Do you know the best practice of this case?
I'm making a blog app using firebase.
I want to know the best practice of data structure.
As far as I know, there are 2 case. (I'm using react native)
case 1:
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
favorites
-userID
-favoriteList
-postID(onlyID)
-postID(onlyID)
In this case, for example, when we need to get favorite posts.
firebase.firestore().collection(`favorites/${userID}/favoriteList`)
.get()
.then((snapshot) => {
snapshot.forEach((favorite) => {
firebase.firestore().collection(`favorites/`).doc(`${favorite.id}`)
.get()
.then((post) => {
myPostList.push(post.data())
});
});
in this case, we can't order the favorite posts by createdDate
. So, need to sort client side. Even if so, we don't use limit() function.
case 2:
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
favorites
-userID
-favoriteList
-postID
-title,content,author(userID),createdDate,favoriteCount
-postID
-title,content,author(userID),createdDate,favoriteCount
firebase.firestore().collection(`favorites/${userID}/favoriteList`).orderBy('createdDate','desc').limit(30)
.get()
.then((snapshot) => {
snapshot.forEach((post) => {
myPostList.push(post.data())
});
});
in this case, When the favorite post is modified by the author, we have to update all of the favorite posts. (e.g. If 100 users save the post as a favorite, we have to update to 100 data.)
(And I'm not sure we can increment favoritecount
by a transaction, exactly same.)
I think if we use firebase.batch()
, we can manage it. But I think it seems Inefficient.
It seems that both ways are not perfect. Do you know the best practice of this case?
Share Improve this question edited Jun 13, 2018 at 9:49 Adam Azad 11.3k5 gold badges30 silver badges72 bronze badges asked Feb 6, 2018 at 20:24 yn1043yn1043 5883 gold badges14 silver badges24 bronze badges 2- 2 You should structure your data in a way that best suits the queries you want to perform. – Doug Stevenson Commented Feb 6, 2018 at 20:36
- @DougStevenson thank you for responding.hmm... I found It is case by case.thank you – yn1043 Commented Feb 7, 2018 at 9:36
2 Answers
Reset to default 12What about using arrays or Collection Groups?
solution 1: arrays
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
-[favoriters(userID)]
Now you can query for a user's favorites by querying posts that "array-contains" the user's ID. You can also modify individual posts without iterating through a bunch data copies.
There's a limit to this approach though. Maximum size for a document is 1 MiB; assuming that a user ID is 4 bytes, a document can contain no more than 250K favoriters. Clients would also have to do some O(N) processing to add / remove favoriters.
solution 2: Collection Groups
posts
-postID
-title,content,author(userID),createdDate,favoriteCount
-favoriters {collection}
-userID
A collection group consists of all collections with the same ID. By default, queries retrieve results from a single collection in your database. Use a collection group query to retrieve documents from a collection group instead of from a single collection.
So we can fetch a user's favorite posts via
db.collectionGroup("favoriters").whereEqualTo("userID", <userID>).get();
To favorite a post, we just do
const postsRef = db.collection("posts");
postsRef.document(<postID>).collection("favoriters").add({ "userID", <userID> });
Maybe not a direct answer to your question, but the official documentation has an example for that:
Working with arrays, lists, and sets
Summary: Store and query data in array-like structures in documents.
Use case: If your app requires complex data objects like arrays, lists, or sets, follow the model outlined in this solution. For example, in a blogging app, you might want to create a set of related posts.
https://firebase.google.com/docs/firestore/solutions/arrays