Cost optimization patterns for Firebase Cloud Fire

问题:

My goal is to optimize my app's architecture for cost when using Firebase Cloud Firestore. I understand Cloud Firestore's pricing model is on a per read/write basis. So I'm considering the following pattern for cost optimization purposes. I want to know whether it's "best practice" or an anti-pattern.

The idea is that whenever I create a new document to add to a collection, I will have the user update a second "master document" that contains some subset of the doc content plus the same from many similar docs from many different users.

Then, when I go to fetch the list data, instead of fetching a collection and getting charges for each document read from the collection (many reads), I retrieve only the master document instead (one read).

In code, it would look as follows.

Instead of this:

db.collection("reviews")
  .get()
  .then(querySnapshot => {
    querySnapshot.forEach(doc => {
      // doc.data() is never undefined for query doc snapshots
      console.log(doc.id, " => ", doc.data());
    });
  })

I do this:

const docRef = db.collection("reviews").doc("MasterList");

docRef.get().then(doc => {
  if (doc.exists) {
    console.log("Document data:", doc.data());
  } else {
    // doc.data() will be undefined in this case
    console.log("No such document!");
  }
})

Is this a cost-wise best-practice? Or is this an anti-pattern?

回答1:

The idea of having a "master document" is a good one because you'll be able to make a single write operation even if you change multiple properties within it but there is a problem regarding a constraint, documents have limits. So there are some limits when it comes to how much data you can put into a document. According to the official documentation regarding usage and limits:

Maximum size for a document: 1 MiB (1,048,576 bytes)

As you can see, you are limited to 1 MiB total of data in a single document. When we are talking about storing text, you can store pretty much but as your document getts bigger, be careful about this limitation.

Cloud Firestore is optimized for storing large collections of small documents. So you should take advantage of this feature. Even if you need to duplicate and update several documents within separate collections, I recommend you go ahead in this way.

P.S. If you worry about costs, take also a look at Firebase realtime database and try to use them together. Are working pretty fine.