Enabling Offline Capabilities on Android

Firebase applications work even if your app temporarily loses its network connection. In addition, Firebase provides tools for persisting data locally, managing presence, and handling latency.

Disk Persistence

Firebase apps automatically handle temporary network interruptions. Cached data is available while offline and Firebase resends any writes when network connectivity is restored.

When you enable disk persistence, your app writes the data locally to the device so your app can maintain state while offline, even if the user or operating system restarts the app.

You can enable disk persistence with just one line of code.

Kotlin

Firebase.database.setPersistenceEnabled(true)

Java

FirebaseDatabase.getInstance().setPersistenceEnabled(true);

Persistence Behavior

By enabling persistence, any data that the Firebase Realtime Database client would sync while online persists to disk and is available offline, even when the user or operating system restarts the app. This means your app works as it would online by using the local data stored in the cache. Listener callbacks will continue to fire for local updates.

The Firebase Realtime Database client automatically keeps a queue of all write operations that are performed while your app is offline. When persistence is enabled, this queue is also persisted to disk so all of your writes are available when the user or operating system restarts the app. When the app regains connectivity, all of the operations are sent to the Firebase Realtime Database server.

If your app uses Firebase Authentication, the Firebase Realtime Database client persists the user's authentication token across app restarts. If the auth token expires while your app is offline, the client pauses write operations until your app re-authenticates the user, otherwise the write operations might fail due to security rules.

Keeping Data Fresh

The Firebase Realtime Database synchronizes and stores a local copy of the data for active listeners. In addition, you can keep specific locations in sync.

Kotlin

val scoresRef = Firebase.database.getReference("scores")
scoresRef.keepSynced(true)

Java

DatabaseReference scoresRef = FirebaseDatabase.getInstance().getReference("scores");
scoresRef.keepSynced(true);

The Firebase Realtime Database client automatically downloads the data at these locations and keeps it in sync even if the reference has no active listeners. You can turn synchronization back off with the following line of code.

Kotlin

scoresRef.keepSynced(false)

Java

scoresRef.keepSynced(false);

By default, 10MB of previously synced data is cached. This should be enough for most applications. If the cache outgrows its configured size, the Firebase Realtime Database purges data that has been used least recently. Data that is kept in sync is not purged from the cache.

Querying Data Offline

The Firebase Realtime Database stores data returned from a query for use when offline. For queries constructed while offline, the Firebase Realtime Database continues to work for previously loaded data. If the requested data hasn't loaded, the Firebase Realtime Database loads data from the local cache. When network connectivity is available again, the data loads and will reflect the query.

For example, this code queries for the last four items in a Firebase Realtime Database of scores

Kotlin

val scoresRef = Firebase.database.getReference("scores")
scoresRef.orderByValue().limitToLast(4).addChildEventListener(object : ChildEventListener {
    override fun onChildAdded(snapshot: DataSnapshot, previousChild: String?) {
        Log.d(TAG, "The ${snapshot.key} dinosaur's score is ${snapshot.value}")
    }

    // ...
})

Java

DatabaseReference scoresRef = FirebaseDatabase.getInstance().getReference("scores");
scoresRef.orderByValue().limitToLast(4).addChildEventListener(new ChildEventListener() {
    @Override
    public void onChildAdded(@NonNull DataSnapshot snapshot, String previousChild) {
        Log.d(TAG, "The " + snapshot.getKey() + " dinosaur's score is " + snapshot.getValue());
    }

    // ...
});

Assume that the user loses connection, goes offline, and restarts the app. While still offline, the app queries for the last two items from the same location. This query will successfully return the last two items because the app had loaded all four items in the query above.

Kotlin

scoresRef.orderByValue().limitToLast(2).addChildEventListener(object : ChildEventListener {
    override fun onChildAdded(snapshot: DataSnapshot, previousChild: String?) {
        Log.d(TAG, "The ${snapshot.key} dinosaur's score is ${snapshot.value}")
    }

    // ...
})

Java

scoresRef.orderByValue().limitToLast(2).addChildEventListener(new ChildEventListener() {
    @Override
    public void onChildAdded(@NonNull DataSnapshot snapshot, String previousChild) {
        Log.d(TAG, "The " + snapshot.getKey() + " dinosaur's score is " + snapshot.getValue());
    }

    // ...
});

In the preceding example, the Firebase Realtime Database client raises 'child added' events for the highest scoring two dinosaurs, by using the persisted cache. But it will not raise a 'value' event, since the app has never executed that query while online.

If the app were to request the last six items while offline, it would get 'child added' events for the four cached items straight away. When the device comes back online, the Firebase Realtime Database client synchronizes with the server and gets the final two 'child added' and the 'value' events for the app.

Handling Transactions Offline

Any transactions that are performed while the app is offline, are queued. Once the app regains network connectivity, the transactions are sent to the Realtime Database server.

Managing Presence

In realtime applications it is often useful to detect when clients connect and disconnect. For example, you may want to mark a user as 'offline' when their client disconnects.

Firebase Database clients provide simple primitives that you can use to write to the database when a client disconnects from the Firebase Database servers. These updates occur whether the client disconnects cleanly or not, so you can rely on them to clean up data even if a connection is dropped or a client crashes. All write operations, including setting, updating, and removing, can be performed upon a disconnection.

Here is a simple example of writing data upon disconnection by using the onDisconnect primitive:

Kotlin

val presenceRef = Firebase.database.getReference("disconnectmessage")
// Write a string when this client loses connection
presenceRef.onDisconnect().setValue("I disconnected!")

Java

DatabaseReference presenceRef = FirebaseDatabase.getInstance().getReference("disconnectmessage");
// Write a string when this client loses connection
presenceRef.onDisconnect().setValue("I disconnected!");

How onDisconnect Works

When you establish an onDisconnect() operation, the operation lives on the Firebase Realtime Database server. The server checks security to make sure the user can perform the write event requested, and informs the your app if it is invalid. The server then monitors the connection. If at any point the connection times out, or is actively closed by the Realtime Database client, the server checks security a second time (to make sure the operation is still valid) and then invokes the event.

Your app can use the callback on the write operation to ensure the onDisconnect was correctly attached:

Kotlin

presenceRef.onDisconnect().removeValue { error, reference ->
    error?.let {
        Log.d(TAG, "could not establish onDisconnect event: ${error.message}")
    }
}

Java

presenceRef.onDisconnect().removeValue(new DatabaseReference.CompletionListener() {
    @Override
    public void onComplete(DatabaseError error, @NonNull DatabaseReference reference) {
        if (error != null) {
            Log.d(TAG, "could not establish onDisconnect event:" + error.getMessage());
        }
    }
});

An onDisconnect event can also be canceled by calling .cancel():

Kotlin

val onDisconnectRef = presenceRef.onDisconnect()
onDisconnectRef.setValue("I disconnected")
// ...
// some time later when we change our minds
// ...
onDisconnectRef.cancel()

Java

OnDisconnect onDisconnectRef = presenceRef.onDisconnect();
onDisconnectRef.setValue("I disconnected");
// ...
// some time later when we change our minds
// ...
onDisconnectRef.cancel();

Detecting Connection State

For many presence-related features, it is useful for your app to know when it is online or offline. Firebase Realtime Database provides a special location at /.info/connected which is updated every time the Firebase Realtime Database client's connection state changes. Here is an example:

Kotlin

val connectedRef = Firebase.database.getReference(".info/connected")
connectedRef.addValueEventListener(object : ValueEventListener {
    override fun onDataChange(snapshot: DataSnapshot) {
        val connected = snapshot.getValue(Boolean::class.java) ?: false
        if (connected) {
            Log.d(TAG, "connected")
        } else {
            Log.d(TAG, "not connected")
        }
    }

    override fun onCancelled(error: DatabaseError) {
        Log.w(TAG, "Listener was cancelled")
    }
})

Java

DatabaseReference connectedRef = FirebaseDatabase.getInstance().getReference(".info/connected");
connectedRef.addValueEventListener(new ValueEventListener() {
    @Override
    public void onDataChange(@NonNull DataSnapshot snapshot) {
        boolean connected = snapshot.getValue(Boolean.class);
        if (connected) {
            Log.d(TAG, "connected");
        } else {
            Log.d(TAG, "not connected");
        }
    }

    @Override
    public void onCancelled(@NonNull DatabaseError error) {
        Log.w(TAG, "Listener was cancelled");
    }
});

/.info/connected is a boolean value which is not synchronized between Realtime Database clients because the value is dependent on the state of the client. In other words, if one client reads /.info/connected as false, this is no guarantee that a separate client will also read false.

On Android, Firebase automatically manages connection state to reduce bandwidth and battery usage. When a client has no active listeners, no pending write or onDisconnect operations, and is not explicitly disconnected by the goOffline method, Firebase closes the connection after 60 seconds of inactivity.

Handling Latency

Server Timestamps

The Firebase Realtime Database servers provide a mechanism to insert timestamps generated on the server as data. This feature, combined with onDisconnect, provides an easy way to reliably make note of the time at which a Realtime Database client disconnected:

Kotlin

val userLastOnlineRef = Firebase.database.getReference("users/joe/lastOnline")
userLastOnlineRef.onDisconnect().setValue(ServerValue.TIMESTAMP)

Java

DatabaseReference userLastOnlineRef = FirebaseDatabase.getInstance().getReference("users/joe/lastOnline");
userLastOnlineRef.onDisconnect().setValue(ServerValue.TIMESTAMP);

Clock Skew

While firebase.database.ServerValue.TIMESTAMP is much more accurate, and preferable for most read/write operations, it can occasionally be useful to estimate the client's clock skew with respect to the Firebase Realtime Database's servers. You can attach a callback to the location /.info/serverTimeOffset to obtain the value, in milliseconds, that Firebase Realtime Database clients add to the local reported time (epoch time in milliseconds) to estimate the server time. Note that this offset's accuracy can be affected by networking latency, and so is useful primarily for discovering large (> 1 second) discrepancies in clock time.

Kotlin

val offsetRef = Firebase.database.getReference(".info/serverTimeOffset")
offsetRef.addValueEventListener(object : ValueEventListener {
    override fun onDataChange(snapshot: DataSnapshot) {
        val offset = snapshot.getValue(Double::class.java) ?: 0.0
        val estimatedServerTimeMs = System.currentTimeMillis() + offset
    }

    override fun onCancelled(error: DatabaseError) {
        Log.w(TAG, "Listener was cancelled")
    }
})

Java

DatabaseReference offsetRef = FirebaseDatabase.getInstance().getReference(".info/serverTimeOffset");
offsetRef.addValueEventListener(new ValueEventListener() {
    @Override
    public void onDataChange(@NonNull DataSnapshot snapshot) {
        double offset = snapshot.getValue(Double.class);
        double estimatedServerTimeMs = System.currentTimeMillis() + offset;
    }

    @Override
    public void onCancelled(@NonNull DatabaseError error) {
        Log.w(TAG, "Listener was cancelled");
    }
});

Sample Presence App

By combining disconnect operations with connection state monitoring and server timestamps, you can build a user presence system. In this system, each user stores data at a database location to indicate whether or not a Realtime Database client is online. Clients set this location to true when they come online and a timestamp when they disconnect. This timestamp indicates the last time the given user was online.

Note that your app should queue the disconnect operations before a user is marked online, to avoid any race conditions in the event that the client's network connection is lost before both commands can be sent to the server.

Here is a simple user presence system:

Kotlin

// Since I can connect from multiple devices, we store each connection instance separately
// any time that connectionsRef's value is null (i.e. has no children) I am offline
val database = Firebase.database
val myConnectionsRef = database.getReference("users/joe/connections")

// Stores the timestamp of my last disconnect (the last time I was seen online)
val lastOnlineRef = database.getReference("/users/joe/lastOnline")

val connectedRef = database.getReference(".info/connected")
connectedRef.addValueEventListener(object : ValueEventListener {
    override fun onDataChange(snapshot: DataSnapshot) {
        val connected = snapshot.getValue<Boolean>() ?: false
        if (connected) {
            val con = myConnectionsRef.push()

            // When this device disconnects, remove it
            con.onDisconnect().removeValue()

            // When I disconnect, update the last time I was seen online
            lastOnlineRef.onDisconnect().setValue(ServerValue.TIMESTAMP)

            // Add this device to my connections list
            // this value could contain info about the device or a timestamp too
            con.setValue(java.lang.Boolean.TRUE)
        }
    }

    override fun onCancelled(error: DatabaseError) {
        Log.w(TAG, "Listener was cancelled at .info/connected")
    }
})

Java

// Since I can connect from multiple devices, we store each connection instance separately
// any time that connectionsRef's value is null (i.e. has no children) I am offline
final FirebaseDatabase database = FirebaseDatabase.getInstance();
final DatabaseReference myConnectionsRef = database.getReference("users/joe/connections");

// Stores the timestamp of my last disconnect (the last time I was seen online)
final DatabaseReference lastOnlineRef = database.getReference("/users/joe/lastOnline");

final DatabaseReference connectedRef = database.getReference(".info/connected");
connectedRef.addValueEventListener(new ValueEventListener() {
    @Override
    public void onDataChange(@NonNull DataSnapshot snapshot) {
        boolean connected = snapshot.getValue(Boolean.class);
        if (connected) {
            DatabaseReference con = myConnectionsRef.push();

            // When this device disconnects, remove it
            con.onDisconnect().removeValue();

            // When I disconnect, update the last time I was seen online
            lastOnlineRef.onDisconnect().setValue(ServerValue.TIMESTAMP);

            // Add this device to my connections list
            // this value could contain info about the device or a timestamp too
            con.setValue(Boolean.TRUE);
        }
    }

    @Override
    public void onCancelled(@NonNull DatabaseError error) {
        Log.w(TAG, "Listener was cancelled at .info/connected");
    }
});