Firebase is Google’s lightweight Backend as a Service solution which includes:
- JSON datastore with full changefeed support (over websockets)
- Common authentication provider integration (email, Google, Facebook, Twitter, etc.)
- Basic static website hosting
All this makes it quite suitable for a quick prototype or a hackathon project, especially where making the system realtime is a concern. The real problem emerges only when you need to convert that prototype into something that works sustainably for a couple of months, or at least until you can build your own backend and rewire your client apps.
Here are a few strategies you can use to deal with Firebase in such a situation:
Allowing Structural Changes
By default, Firebase’s Java/Android SDK uses Jackson to deserialize JSON to POJOs. The default Jackson mapper however, is likely to cause problems when you update your Firebase structure, as it is configured to error out on unknown properties. Easy fix:
val mapper = JsonHelpers.getMapper() mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
Structure is Key
One very fatal flaw of Firebase that is strangely never mentioned in any documentation is that you can only filter by a single property at a time (and this includes ordering). Structure your Firebase accordingly, and keep in mind that until your prototype is ready to migrate off Firebase, it will always have this limitation.
Priority is Ordering
Since you can only filter by one property, ordering that way is out of the question. There are only two ways to fix this:
- Reorder on the client (not really a solution)
- Insert with priority values
Priority values are numbers associated with every Firebase object which naturally determine the order in which objects are returned from queries. Setting priorities to the id or the timestamp will fix most of your ordering issues.
Avoid Nested Objects
Firebase fetches the complete hierarchy of an object, which means if you have related objects as children, Firebase will have to fetch everything just to fetch the root and its immediate children. Use a separate object and refer to particular children by their keys instead.
Forget About Arrays
Firebase has array support, but it’s half-baked and terrible for any situation where you need to change data. An array in Firebase is basically an object with integer keys. And objects that happen to satisfy that rule are automatically converted into arrays as POJOs, which will break all of your client code that deals with that object. This isn’t that big an issue once you’ve standardized things a bit, but it’s still something you’ll want to be aware of.
Add Indexes and Security Rules
Firebase is world readable and writable by default. While extremely convenient for prototyping, this can also mean waking up one fine morning and finding an empty, or worse tampered Firebase. And while Firebase does a decent job of querying by default, specifying indexes can speed queries up significantly.
Create a Worker
This should be fairly obvious, but seriously, don’t try to use Firebase for push notifications. If you want a shortcut here, try Zapier’s Firebase integration. Otherwise, your best option is to create a worker on a separate server connected to your Firebase to send out notifications and emails and to carry out background processing.
Build in a Kill Switch
You’ll definitely want to migrate off Firebase at some point, or even migrate parts of your Firebase. For this purpose, you should always have a key at the top of the hierarchy which specifies the minimum client version that can use the Firebase. This is no different from what one would do with a regular backend, but is even more important given the relative fragility of Firebase.