Ever since we released GeoFire for JavaScript, we've seen many requests for mobile ports of the library. Today, we're happy to announce GeoFire for iOS and Android!
GeoFire is now supported on our three major platforms - web, iOS and Android - and each library is open source! Each version comes with a sample app, which queries and displays San Francisco public transportation data in realtime.
You can find the corresponding sample apps as part of the GeoFire repos for Objective-C and Java.
If you're new to GeoFire, it's a geolocation library that maps string keys to locations and stores them in Firebase. Using GeoFire, you can answer a simple but important question: Which keys lie within a given geographic region? But GeoFire's features don't stop at simple location queries, it's true power is that everything happens in realtime. When objects move, events will be fired as they enter, exit and move around the region.
GeoFire opens a wide range of possibilities: You can build an app that displays who's going for a run within a mile radius of yourself and show their location in realtime. You can display taxis within a search radius and animate them as they move. Or you can build an app that simply lists all interesting bars nearby.
The GeoFire libraries are available as a XCode Framework and as a Java jar-file for easy integration. Add them to your app, include the Firebase library and you're ready to go.
All three versions are compatible with each other. If you are storing locations in your iOS or Android app, you will be able to query them in the web and vice versa.
Take a look at our quick start guides for the Objective-C and the Java versions to get familiar with GeoFire on each platform.
GeoFire is designed to be a lightweight add-on for Firebase, not a replacement. As such, you will continue to store your data just as you would normally do in Firebase and use GeoFire to query keys by location.
Let's assume we're building a social running app, where we want to display stats for all runners in our area. We'll start by storing basic data for each user like the following:
{ "users": { "steve123": { "displayname": "Steve T.", "age": 29, "location": [37.12314, -122.49182], "stats": { "averageSpeed": 11.2, "currentSpeed": 9.7, ... } }, "nikky_kay": { "displayname": "Nicole", "age": 37, "location": [37.67134, -122.32990], "stats": { ... } }, ... } }
Now that we've stored our user information in Firebase, we'll use GeoFire to search for nearby runners in realtime. In this example, we're storing each user by their username, and the user's location as a pair of latitude-longitude coordinates. By keeping the location key as a child of the user key, we can listen for realtime updates for a single user. Everytime we update the location of a user we simultaneously update the location for that user in GeoFire.
We'll now use a GeoQuery to retrieve all keys (usernames in this example) in a given geographic region. Using the key entered and key exited events, we can keep track of all users currently matching the query, e.g. with a NSMutableSet in Objective-C or Set<String> in Java.
NSMutableSet
Set<String>
NSMutableSet *runnersNearby = [NSMutableSet set]; // query around current user location with 1.6km radius GFQuery *query = [self.geoFire queryAtLocation:currentUserLocation withRadius:1.6]; [query observeEventType:GFEventTypeKeyEntered withBlock:^(NSString *username, CLLocation *location) { [runnersNearby addObject:username]; // additional code, like displaying a pin on the map // and adding Firebase listeners for this user }]; [query observeEventType:GFEventTypeKeyExited withBlock:^(NSString *username, CLLocation *location) { [runnersNearby removeObject:username] // additional code, like removing a pin from the map // and removing any Firebase listener for this user }];
final Set<String> runnersNearby = new HashSet<String>(); // query around current user location with 1.6km radius GeoQuery geoQuery = geoFire.queryAtLocation(currentUserLocation, 1.6); geoQuery.addGeoQueryEventListener(new GeoQueryEventListener() { @Override public void onKeyEntered(String username, GeoLocation location) { runnersNearby.add(username); // additional code, like displaying a pin on the map // and adding Firebase listeners for this user } @Override public void onKeyExited(String username) { runnersNearby.remove(username); // additional code, like removing a pin from the map // and removing any Firebase listener for this user } ... });
We're ready to update our UI in realtime! Now that we know which users are nearby and we want to display, we can add a normal Firebase listener to each user and keep their stats updated in realtime. Remember, adding a listener in Firebase is a very lightweight operation, and adding thousands of listeners is not a problem. If a user ever moves outside the query, all we need to do is remove that listener and update our UI.
We're excited to see the amazing apps you build with Firebase and GeoFire! If you have any feedback on our new mobile libraries, you can email me at jonny@firebase.com or send us a pull request.
This past weekend Y Combinator hosted a hackathon, YCHacks. 540 developers answered the call. Over the weekend they turned pizza, energy drinks, and APIs into 123 projects.
At Firebase we really love hackathons, so it didn't take much effort to convince about half of the team to attend. This gave us a great opportunity to exchange high fives with developers who use Firebase. It turned out to be quite a few high fives because 34 teams used Firebase including two of the top three prize winners. In fact, so many developers used Firebase, that nearly 4% of the total network traffic was to our API servers.
All of the presentations were impressive, but a couple stood out as the best realtime apps.
Awear combines the Myo gesture detection arm band with Bluetooth location beacons to provide you with a way to control the technology near you by waving your hand. For example, when you're in the living room, a hand gesture might turn on the music, and in the kitchen the same gesture could flip through a digital cookbook.
Awear is a great example of how ubiquitous Internet connectivity is going to change the way devices talk to each other. With so many devices interacting with each other, the team found inter-device communication challenging. At 3:00 AM on Saturday they decided to give Firebase a go. Within a couple hours, all of the hardware was working in harmony. To quote them, "Firebase, you saved our lives!"
Virtual reality makes a lot of new, amazing experiences possible, but the Vrniture team also thinks it can change the way we do some more mundane tasks. Specifically, shopping for furniture. Vrniture used Firebase to wire up 3d models of your room with models of furniture you might like. It then presented a preview on an Oculus Rift so that you can experience new furniture in your home without having to rent a truck.
Those were our favorite examples of realtime development with Firebase, but there was other cool stuff too. A lot of it happened to be powered by Firebase.
High fives keep many of us running. They're an effective way to smack back the things that get us down. But as effective as they are for happiness, they're hard to track. It's hard to know if you've had your prescribed dose.
Quantified High Fives changes all that. It uses the motion sensor in the Pebble smartwatch, and a Firebase to accurately and effectively track your intake of High-5s. It even displays your current count in realtime. Now when you wonder, "Have I had enough?" your Pebble smartwatch and Firebase can tell you.
Tanay Tandon of team Athelas added a hemispherical lens to an iPhone and discovered that the optically enhanced camera was able to image individual blood cells. He then threw OpenCV at in an attempt to identify blood borne pathogens, like Malaria. In other words, he turned commodity electronics into a low cost blood scanner. The scanner app then stores test results in Firebase.
YCHacks was great fun. We really enjoyed seeing all of the ways that people used Firebase, and we can't wait for the next one!
