Getting Started

Download Realm Swift or see the source on GitHub.

Prerequisites

• iOS >= 8 or Mac OS X >= 10.9
• Xcode >= 6.3

Installation

• Dynamic Framework
• CocoaPods
• Carthage

Realm Browser

We also provide a standalone app to read and edit .realm databases. You can find it in our release zip under browser/.

You can generate a test database with sample data using the menu item Tools > Generate demo database.

If you need help finding your app’s Realm file, check this StackOverflow answer for detailed instructions.

Xcode Plugin

Our Xcode plugin makes it easy to generate new Realm models.

The easiest way to install the Realm Xcode plugin is through Alcatraz under the name “RealmPlugin”. You can also install the plugin manually by opening plugin/RealmPlugin.xcodeproj contained in the release zip and clicking build. You will need to quit and relaunch Xcode to see our plugin. If you use the Xcode menu to create a new file (File > New > File… — or ⌘N) you should see a new option to create a new Realm model.

API Reference

You can consult our full API reference for all classes, methods & more.

Examples

You can find example applications for both iOS and OS X in our release zip under examples/, demonstrating how to use many features of Realm like migrations, how to use it with UITableViewControllers, encryption, command-line tools and much more.

Getting Help

• Reproducible Bugs & Feature Requests should be filed directly against our GitHub repo.
• Discussions & Support: realm-cocoa@googlegroups.com.
• StackOverflow: look for previous questions under the tag #realm — or open a new one.
• Sign up for our Community Newsletter to get regular tips, learn about other use-cases and get alerted of blogposts and tutorials about Realm.

Models

Realm data models are defined using traditional Swift classes with properties. Simply subclass Object or an existing model class to create your Realm data model objects. Realm model objects mostly function like any other Swift objects - you can add your own methods and protocols to them and use them like you would any other object. The main restrictions are that you can only use an object on the thread which it was created, and you can’t access its ivars directly for any persisted properties.

Relationships and nested data structures are modeled simply by including properties of the target type or Lists for typed lists of objects.

import RealmSwift

// Dog model
class Dog: Object {
    dynamic var name = ""
    dynamic var owner: Person? // Can be optional
}

// Person model
class Person: Object {
    dynamic var name = ""
    dynamic var birthdate = NSDate(timeIntervalSince1970: 1)
    let dogs = List<Dog>()
}

Since Realm parses all models defined in your code at launch, they must all be valid, even if they are never used.

See Object for more details.

Property Types

Realm supports the following property types: Bool, Int8, Int16, Int32, Int64, Double, Float, String, NSDate truncated to the second, and NSData.

You can use List<Object> and Object to model relationships such as to-many and to-one. Subclassing Object is also supported.

Property Attributes

Realm model properties need the var dynamic attribute in order for these properties to become accessors for the underlying database data.

There’s one exception to this. List properties cannot be declared as dynamic because generic properties cannot be represented in the Objective‑C runtime, which is used for dynamic dispatch of dynamic properties.

Customizing Models

Several class methods exist to further specify model information:

• Object.indexedProperties() can be overriden to set which properties should be indexed.

  class Book: Object {
  dynamic var price = 0
  dynamic var title = ""
  
  override static func indexedProperties() -> [String] {
    return ["title"]
  }
  }

• Object.primaryKey() can be overriden to set the model’s primary key. Declaring a primary key allows objects to be looked up and updated efficiently and enforces uniqueness for each value.

class Person: Object {
  dynamic var id = 0
  dynamic var name = ""

  override static func primaryKey() -> String? {
    return "id"
  }
}

• Object.ignoredProperties() can be overriden to prevent Realm from persisting model properties.

class Person: Object {
  dynamic var tmpID = 0
  var name: String { // computed properties are automatically ignored
    return "\(firstName) \(lastName)"
  }
  dynamic var firstName = ""
  dynamic var lastName = ""

  override static func ignoredProperties() -> [String] {
    return ["tmpID"]
  }
}

Writes

Realm objects can be instantiated and used as standalone just like regular Swift objects. To share objects between threads or re-use them between app launches you must persist them to a Realm, an operation which must be done within a write transaction.

Adding objects

You can add an object to a Realm like so:

// Create a Person object
let author = Person()
author.name = "David Foster Wallace"

// Get the default Realm
let realm = Realm()
// You only need to do this once (per thread)

// Add to the Realm inside a transaction
realm.write {
  realm.add(author)
}

After you have added the object to the Realm you can continue using it, and all changes you make to it will be persisted (and must be made within a write transaction). Any changes are made available to other threads that use the same Realm when the write transaction is committed.

Please note that writes block each other, and will block the thread they are made on if multiple writes are in progress. This is similar to other persistence solutions and we recommend that you use the usual best-practices for this situation, namely offloading your writes to a separate thread.

Due to Realm’s MVCC architecture, reads are not blocked while a write transaction is open. Unless you need to make simultaneous writes from many threads at once, you should favor larger write transactions that do more work over many fine-grained write transactions.

See Realm and Object for more details.

Updating objects

To update an object, change the object’s property within a write transaction.

// Update an object with a transaction
realm.write {
  author.name = "Thomas Pynchon"
}

If you have a primary key on your model, you can update an object or insert a new one if it doesn’t exist yet using Realm().add(_:update:).

// Creating a book with the same primary key as a previously saved book
let cheeseBook = Book()
cheeseBook.title = "Cheese recipes"
cheeseBook.price = 9000
cheeseBook.id = 1

// Updating book with id = 1
realm.write {
  realm.add(cheeseBook, update: true)
}

If a book with a primary key id of 1 was not in the database, this would create a new book instead.

Deleting objects

Pass the object to be deleted to the Realm().delete(_:) method within a write transaction.

let cheeseBook = ... // Book stored in Realm

// Delete an object with a transaction
realm.write {
  realm.delete(cheeseBook)
}

You can also delete all objects stored in a Realm. Note the Realm file will maintain its size on disk to efficiently reuse that space for future objects.

// Delete all objects from the realm
realm.write {
  realm.deleteAll()
}

Queries

Queries return an Results instance, which contains a collection of Objects. Results have an interface very similar to Array and objects contained in a Results can be accessed using indexed subscripting. Unlike Arrays, Results are typed and only hold Objects of a single subclass type.

All queries (including queries and property access) are lazy in Realm. Data is only read when the properties are accessed.

Results to a query are not copies of your data: modifying the results of a query (within a write transaction) will modify the data on disk directly. Similarly, you can traverse your graph of relationships directly from the Objects contained in a Results.

Retrieving Objects by Type

The most basic method for retrieving objects from a Realm is Realm().objects(_:), which returns a Results of all Object instances of the subclass type being queried the default Realm.

// Query a Realm
let dogs = Realm(path: "pets.realm").objects(Dog)

Querying with Predicates

If you’re familiar with NSPredicate, then you already know how to query in Realm. Objects, Realm, List, and Results all provide methods that allow you to query for specific Object instances by simply passing in an NSPredicate instance, predicate string, or predicate format string just as you would when querying an NSArray.

For example, the following would extend our earlier example by calling Results().filter(_:...) to retrieve all dogs with the color tan and names beginning with ‘B’ from the default Realm:

let realm = Realm()
// Query using a predicate string
var tanDogs = realm.objects(Dog).filter("color = 'tan' AND name BEGINSWITH 'B'")

// Query using an NSPredicate
let predicate = NSPredicate(format: "color = %@ AND name BEGINSWITH %@", "tan", "B")
tanDogs = realm.objects(Dog).filter(predicate)

See Apple’s Predicates Programming Guide for more information about building predicates. Realm supports many common predicates:

• The comparison operands can be property names or constants. At least one of the operands must be a property name.
• The comparison operators ==, <=, <, >=, >, !=, and BETWEEN are supported for int, long, long long, float, double, and NSDate property types. Such as age == 45
• Identity comparisons ==, !=, e.g. Results<Employee>().filter("company == %@", company)
• The comparison operators == and != are supported for boolean properties.
• For NSString and NSData properties, we support the ==, !=, BEGINSWITH, CONTAINS, and ENDSWITH operators, such as name CONTAINS ‘Ja’
• Case insensitive comparisons for strings, such as name CONTAINS[c] ‘Ja’. Note that only characters “A-Z” and “a-z” will be ignored for case.
• Realm supports the following compound operators: “AND”, “OR”, and “NOT”. Such as name BEGINSWITH ‘J’ AND age >= 32
• The containment operand IN such as name IN {‘Lisa’, ‘Spike’, ‘Hachi’}
• Nil comparisons ==, !=, e.g. Results<Company>().filter("ceo == nil"). Note this only works for objects with relationships, for example here, ceo is a property on the Company model.
• ANY comparisons, such as ANY student.age < 21
• Note, although there’s no support for the aggregate expression type, we do support the BETWEEN operator type using object values, e.g. Results<Person>.filter("age BETWEEN %@", [42, 43]]).

For more, see Results().filter(_:...).

Ordering Results

Results allows you to specify a sort criteria and order based on a single or multiple properties. For example, the following calls sorts the returned dogs from the example above alphabetically by name:

// Sort tan dogs with names starting with "B" by name
let sortedDogs = Realm().objects(Dog).filter("color = 'tan' AND name BEGINSWITH 'B'").sorted("name")

For more, see Results().filter(_:...) and Results().sorted(_:ascending:).

Chaining Queries

One unique property of Realm’s query engine is the ability to chain queries with very little transactional overhead when compared to traditional databases that require a separate trip to the database server for each successive query.

For example, if we wanted a result set for just the tan colored dogs, and the tan colored dogs whose names also started with ‘B’, you might chain two queries like this:

let tanDogs = Realm().objects(Dog).filter("color = 'tan'")
let tanDogsWithBNames = tanDogs.filter("name BEGINSWITH 'B'")

Realms

The Default Realm

You may have noticed so far that we have often initialized access to our realm variable by calling Realm(). That method returns an RLMRealm object that maps to a file called “default.realm” under the Documents folder of your app.

You can also set a custom path for the default realm using Realm.defaultPath. This is especially useful when testing your app, or when sharing realms between apps in an iOS 8 Shared Container.

Other Realms

It’s sometimes useful to have multiple Realms persisted at different locations. For example, if you need to bundle data with an application, you can open it as a read-only Realm. See Realm(path:) and Realm(path:encryptionKey:error:) for more info.

Please note that if a custom path is used to initialize a Realm, it must be in a location with write permissions. The most common location to store writable Realm files is the “Documents” directory on iOS and the “Application Support” directory on OS X. Please respect Apple’s iOS Data Storage Guidelines, which recommend that documents that can be regenerated be stored in the <Application_Home>/Library/Caches directory.

In-Memory Realms

Normally Realms are persisted to disk, but you can also create ones which are purely in memory by using the Realm(inMemoryIdentifier:) initializer:

let realm = Realm(inMemoryIdentifier: "MyInMemoryRealm")

In-memory Realms do not save data across app launches, but all other features of Realm will work as expected, including querying, relationships and thread-safety. This is a useful option if you need flexible data access without the overhead of disk persistence.

Using a Realm Across Threads

To access the same Realm file from different threads, you must initialize a new Realm to get a different instance for every thread of your app. As long as you specify the same path, all Realm instances will map to the same file on disk.

Sharing Realm instances across threads is not supported.
Realm instances accessing the same realm file must also all use the same readOnly value (either all readwrite, or all readonly).

Realm can be very efficient when writing large amounts of data by batching together multiple writes within a single transaction. Transactions can also be performed in the background using Grand Central Dispatch to avoid blocking the main thread. RLMRealm objects are not thread safe and cannot be shared across threads, so you must get a Realm instance in each thread/dispatch_queue in which you want to read or write. Here’s an example of inserting a million objects in a background queue:

dispatch_async(queue) {
  // Get realm and table instances for this thread
  let realm = Realm()

  // Break up the writing blocks into smaller portions
  // by starting a new transaction
  for idx1 in 0..<1000 {
    realm.beginWrite()

    // Add row via dictionary. Property order is ignored.
    for idx2 in 0..<1000 {
      realm.create(Person.self, value: [
        "name": "\(idx1)",
        "birthdate": NSDate(timeIntervalSince1970: idx2)
      ])
    }

    // Commit the write transaction
    // to make this data available to other threads
    realm.commitWrite()
  }
}

Copying Objects Between Realms

Copying Realm objects to other Realms is as simple as passing in the original object to Realm().create(_:value:update:). For example, Realm().create(MyObjectSubclass.self, value: originalObjectInstance).

Finding a Realm File

If you need help finding your app’s Realm file, check this StackOverflow answer for detailed instructions.

Bundling a Realm with an App

It’s common to seed an app with initial data, making it available to your users immediately on first launch. Here’s how to do this:

1. First, populate the realm. You should use the same data model as your final, shipping app to create a realm and populate it with the data you wish to bundle with your app. Since realm files are cross-platform, you can use an OS X app (see our JSONImport example) or your iOS app running in the simulator.
2. In the code where you’re generating this realm file, you should finish by making a compacted copy of the file (see [Realm().writeCopyToPath(_:encryptionKey:)]). This will reduce the Realm’s file size, making your final app lighter to download for your users.
3. Drag the new compacted copy of your realm file to your final app’s Xcode Project Navigator.
4. Go to your app target’s build phases tab in Xcode and add the realm file to the “Copy Bundle Resources” build phase.
5. At this point, your bundled realm file will be accessible to your app. You can find its path by using NSBundle.mainBundle().pathForResource(_:ofType:).
6. You can either create a read-only realm by calling Realm(path:readOnly:encryptionKey:error:). Or, if you’d like to create a writable realm file based on this initial data, you can copy the bundled file to your application’s Documents directory using NSFileManager.defaultManager().copyItemAtPath(_:toPath:error:) and then construct your new realm by using Realm(path:).

You can refer to our migration sample app for an example of how to use a bundled realm file.

Relationships

Objects can be linked to each other by using Object and List properties. Lists have an interface very similar to Array and objects contained in a List can be accessed using indexed subscripting. Unlike Arrays, Lists are typed and only hold Objects of a single subclass type. For more details see List.

Assuming your Person model has already been defined (see above) let’s create another model called Dog:

class Dog: Object {
    dynamic var name = ""
}

To-One

For many-to-one or one-to-one relationships, simply declare a property with the type of your Object subclass:

class Dog: Object {
    ... // other property declarations
    dynamic var owner: Person?
}

You can use this property like you would any other:

let jim = Person()
let rex = Dog()
rex.owner = jim

When using Object properties, you can access nested properties using normal property syntax. For example rex.owner.address.country will traverse the object graph and automatically fetch each object from Realm as needed.

To-Many

You can define a to-many relationship using List properties. Lists contain other Objects of a single type and have an interface very similar to a mutable Array.

To add a “dogs” property on our Person model that links to multiple dogs, we can declare a property of type List<Dog>:

class Person: Object {
    ... // other property declarations
    let dogs = List<Dog>()
}

You can access and assign List properties as usual:

let someDogs = Realm().objects(Dog).filter("name contains 'Fido'")
jim.dogs.extend(someDogs)
jim.dogs.append(rex)

Inverse Relationships

With inverse relationships (also known as backlinks), you can obtain all objects linking to a given object through a specific property. For example, calling Object().linkingObjects(_:forProperty:) on a Dog instance will return all objects of the specified class linking to the calling instance with the specified property. It’s possible to simplify this pattern by defining a read-only (computed) owners property on Dog:

class Dog: Object {
    dynamic var name = ""
    dynamic var age = 0
    var owners: [Person] {
        // Realm doesn't persist this property because it only has a getter defined
        // Define "owners" as the inverse relationship to Person.dogs
        return linkingObjectsOfClass(Person.self, forProperty: "dogs")
    }
}

Notifications

Realm instances send out notifications to other instances on other threads every time a write transaction is committed. These notifications can be observed by registering a block:

// Observe Realm Notifications
let token = realm.addNotificationBlock { notification, realm in
    viewController.updateUI()
}

The notification stays active as long as a reference is held to the returned notification token. You should hold onto a strong reference to this token on the class registering for updates, as notifications are automatically un-registered when the notification token is deallocated.

See Realm().addNotificationBlock(_:) and Realm().removeNotification(_:) for details.

Migrations

When working with any database, it is likely your data model will change over time. Since data models in Realm are defined as standard Swift interfaces, making model changes is as easy as changing any other Swift interface. For example, suppose we have the following Person model:

class Person: Object {
    dynamic var firstName = ""
    dynamic var lastName = ""
    dynamic var age = 0
}

We want to update the data model to require a fullName property, rather than separate first and last names. To do this, we simply change the object interface to the following:

class Person: Object {
    dynamic var fullName = ""
    dynamic var age = 0
}

At this point if you had saved any data with the previous model version, there will be a mismatch between what Realm sees defined in code and the data Realm sees on disk. When this occurs, an exception will be thrown unless you run a migration.

Performing a Migration

You define a migration and the associated schema version by calling setSchemaVersion(_:_:_:). Your migration block provides all the logic for converting data models from previous schemas to the new schema. After calling setSchemaVersion(_:_:_:), any Realms which require migration will automatically apply the migration block provided and be updated to the provided version.

For example, suppose we want to migrate the Person model declared earlier. The minimal necessary migration block would be the following:

// Inside your application(application:didFinishLaunchingWithOptions:)

// Notice setSchemaVersion is set to 1, this is always set manually. It must be
// higher than the previous version (oldSchemaVersion) or an RLMException is thrown
setSchemaVersion(1, Realm.defaultPath, { migration, oldSchemaVersion in
  // We haven’t migrated anything yet, so oldSchemaVersion == 0
  if oldSchemaVersion < 1 {
    // Nothing to do!
    // Realm will automatically detect new properties and removed properties
    // And will update the schema on disk automatically
  }
})
// now that we have called `setSchemaVersion(_:_:_:)`, opening an outdated
// Realm will automatically perform the migration and opening the Realm will succeed
// i.e. Realm()

At the very minimum all we need to do is to update the version with an empty block to indicate the that the schema has been upgraded (automatically) by Realm.

While this is the minimum acceptable migration, we probably want to use this block to populate any new properties (in this case fullName) with something meaningful. Within the migration block we can call Migration().enumerate(_:_:) to enumerate each Object of a certain type, and apply any necessary migration logic. Notice how for each enumeration the existing Object instance is accessed via an oldObject variable and the updated instance is accessed via newObject:

// Inside your application(application:didFinishLaunchingWithOptions:)

setSchemaVersion(1, Realm.defaultPath, { migration, oldSchemaVersion in
  if oldSchemaVersion < 1 {
    // The enumerate(_:_:) method iterates
    // over every Person object stored in the Realm file
    migration.enumerate(Person.className()) { oldObject, newObject in
      // combine name fields into a single field
      let firstName = oldObject!["firstName"] as! String
      let lastName = oldObject!["lastName"] as! String
      newObject!["fullName"] = "\(firstName) \(lastName)"
    }
  }
})

Once the migration is successfully completed, the Realm and all of its objects can be accessed as usual by your app.

Adding more versions

Suppose now we have two previous versions of the Person class:

// v0
class Person: Object {
    dynamic var firstName = ""
    dynamic var firstName = ""
    dynamic var age = 0
}

// v1
class Person: Object {
    dynamic var fullName = "" // new property
    dynamic var age = 0
}

// v2
class Person: Object {
    dynamic var fullName = ""
    dynamic var email = "" // new property
    dynamic var age = 0
}

The logic in our migration block might look like the following:

setSchemaVersion(1, Realm.defaultPath, { migration, oldSchemaVersion in
  // The enumerateObjects:block: method iterates
  // over every 'Person' object stored in the Realm file
  migration.enumerate(Person.className()) { oldObject, newObject in
    // Add the `fullName` property only to Realms with a schema version of 0
    if oldSchemaVersion < 1 {
      let firstName = oldObject!["firstName"] as! String
      let lastName = oldObject!["lastName"] as! String
      newObject!["fullName"] = "\(firstName) \(lastName)"
    }

    // Add the `email` property to Realms with a schema version of 0 or 1
    if oldSchemaVersion < 2 {
        newObject!["email"] = ""
    }
  }
})

// Realm will automatically perform the migration and opening the Realm will succeed
let realm = Realm()

For a more complete look at the implementation of a data schema migration, check out our migration sample app.

Linear Migrations

Suppose we have two users for our app: JP and Tim. JP updates the app very often, but Tim happens to skip a few versions. It’s likely that JP has seen every new version of our app, and every schema upgrade in sequence: he downloaded a version of the app that took him from v0 to v1, another update that took him from v1 to v2. In contrast, it’s possible that Tim will download an update of the app that would need to take him from v0 to v2 immediately. Structuring your migration blocks with non-nested if (oldSchemaVersion < X) calls ensures that they will see all necessary upgrades, no matter which schema version they start from.

Another scenario may arise in the case of users who skipped versions of your app. If you delete a property email at version 2 and re-introduce it at version 3, and a user jumps from version 1 to version 3, Realm will not be able to automatically detect the deletion of the email property, as there will be no mismatch between the schema on disk and the schema in the code for that property. This will lead to Tim’s Person object having a v3 address property that has the contents of the v1 address property. This may not be a problem, unless you changed the internal storage representation of that property between v1 and v3 (say, went from an ISO address representation to a custom one). To avoid this, we recommend you nil out the email property on the if (oldSchemaVersion < 3) statement, guaranteeing that all realms upgraded to version 3 will have a correct dataset.

Encryption

On iOS, it’s possible to encrypt Realm files with very little performance overhead by using NSFileProtection APIs. There are two main caveats to this approach: 1) the Realm file won’t be portable to other platforms (NSFileProtection is iOS-only) and 2) the Realm file won’t be encrypted on iOS devices that aren’t password-protected. To avoid these restrictions (or if you’re building an OS X app), then you should use Realm-level encryption.

Realm supports encrypting the database file on disk with AES-256+SHA2 by supplying a 64-byte encryption key when creating a Realm.

// Generate a random encryption key
let key = NSMutableData(length: 64)!
SecRandomCopyBytes(kSecRandomDefault, UInt(key.length),
    UnsafeMutablePointer<UInt8>(key.mutableBytes))

// Open the encrypted Realm file
var error: NSError?
let realm = Realm(path: Realm.defaultPath,
    readOnly: false, encryptionKey: key, readOnly: false, error: &error)
if realm == nil {
    // If the encryption key is wrong, `error` will say that it's an invalid database
    println("Error opening realm: \(error)")
    return
}

// Use the Realm as normal
let dogs = realm.objects(Dog).filter("name contains 'Fido'")

This makes it so that all of the data stored on disk is transparently encrypted and decrypted with AES-256 as needed, and verified with a SHA-2 HMAC. The same encryption key must be supplied every time you obtain a Realm instance. You can also have Realm store an encryption key in memory to use automatically whenever opening a Realm at a given path. For example, to set the key for the default Realm (letting you use the convenience methods):

// Generate a random encryption key
let key = NSMutableData(length: 64)!
SecRandomCopyBytes(kSecRandomDefault, UInt(key.length),
    UnsafeMutablePointer<UInt8>(key.mutableBytes))

// Set the encryption key for the default Realm
Realm.setEncryptionKey(key, forPath: Realm.defaultPath)

// Use the Realm as normal
let dogs = realm.objects(Dog).filter("name contains 'Fido'")

See our encryption sample app for an end-to-end app that generates an encryption key, stores it securely in the keychain, and uses it to encrypt a Realm.

There is a small performance hit (typically less than 10% slower) when using encrypted Realms.

Note that third party crash reporters (Crashlytics, PLCrashReporter etc.) should be registered before you first open an encrypted Realm, or you may get spurious reports of errors when the app didn’t actually crash.

Debugging

Debugging apps using Realm’s Swift API must be done through the LLDB console.

Note that although the LLDB script installed via our Xcode Plugin allows inspecting the contents of your Realm variables in Xcode’s UI, this doesn’t yet work for Swift. Instead, those variables will show incorrect data. You should instead use LLDB’s po command to inspect the contents of data stored in a Realm.

Debugging Encrypted Realms

Although attaching an LLDB session to a process using an encrypted Realm is supported, there are cases in which the debugger may act in unexpected ways.

For example, if program execution is paused at a breakpoint while a Realm has to read or write encrypted data, LLDB will “hang” because stepping over suspends all other threads, while the mach exception handling must happen in a different thread. The best workaround for this situation is to set a breakpoint on the next line after the original breakpoint and continue in LLDB.

Testing

Testing Realm Apps

Overriding the Default Realm Path

The easiest way to use and test Realm apps is to use the default realm. To avoid overriding application data when testing, simply set the default path (Realm.defaultPath = "/path/to/file.realm") before running your tests.

Injecting Realm Instances

Another way to test realm-related code is to have all the methods you’d like to test accept a Realm instance as an argument, so that you can pass in different realm when running the app and when testing it. For example, suppose your app has a method to GET a user profile from a JSON API and you’d like to test that the local profile is properly created:

// Application Code
static func updateUserFromServer() {
  let url = NSURL(string: "http://myapi.example.com/user")
  NSURLSession.sharedSession().dataTaskWithURL(url) { data, _, _ in
    self.createOrUpdateUserInRealm(Realm(), withData: data)
  }
}

public static func createOrUpdateUserInRealm(realm: Realm, withData data: NSData) {
  let object: [String: String] =
          NSJSONSerialization.JSONObjectWithData(data, options: nil, error: nil)
  realm.write {
    realm.create(object, update: true)
  }
}

// Test Code
func testThatUserIsUpdatedFromServer() {
  let testRealm = Realm(path: kTestRealmPath)
  let jsonString: NSString = "{\"email\": \"help@realm.io\"}"
  let jsonData = jsonString.dataUsingEncoding(NSUTF8StringEncoding)
  ClassBeingTested.createOrUpdateUserInRealm(testRealm, withData: jsonData)
  let expectedUser = User()
  expectedUser.email = "help@realm.io"
  XCTAssertEqual(realm.objects(User).first!,
                 expectedUser,
                 "User was not properly updated from server.")
}

Avoid Linking Realm and Tested Code in Test Targets

Since you’re using Realm as a dynamic framework, you’ll need to make sure your unit test target can find Realm. You can do this by adding the parent path to RealmSwift.framework to your unit test’s “Framework Search Paths”.

If your tests fail with an exception message "Object type '...' not persisted in Realm", it’s likely because you’ve linked the Realm framework directly to your test target, which should not be done. Unlinking Realm from your test target should address that.

You should also make sure to only link your model class files to your application or framework targets; never your unit test targets. Otherwise, those classes will be duplicated when testing, which can lead to difficult to debug issues (see https://github.com/realm/realm-cocoa/issues/1350 for details).

You’ll need to make sure all the code you need to test is exposed to your unit test targets (use the public ACL in Swift).

Resetting State Between Tests

It’s generally useful for unit tests to be isolated from each other. For that reason, we recommend that you delete the persisted realm files from disk and reset Realm’s internal state between every test. This can be done in the setUp and tearDown methods when using XCTest:

// Helpers

let realmPathForTesting = ""

func deleteRealmFilesAtPath(path: String) {
  let fileManager = NSFileManager.defaultManager()
  fileManager.removeItemAtPath(path, error: nil)
  let lockPath = path + ".lock"
  fileManager.removeItemAtPath(lockPath, error: nil)
}

// In XCTestCase subclass:

override func setUp() {
  super.setUp()
  deleteRealmFilesAtPath(realmPathForTesting)
  Realm.defaultPath = realmPathForTesting
}

override func tearDown() {
  super.tearDown()
  deleteRealmFilesAtPath(realmPathForTesting)
}

Testing Realm

Realm has a comprehensive test suite that runs on every commit, so your application’s tests shouldn’t test Realm itself, but rather your app’s usage of Realm.

Since Realm is open-source, we gladly accept contributions to the binding, tests and documentation.

REST APIs

Realm easily integrates with REST APIs and provides several advantages as oppposed to using REST APIs without local persistance:

• Caching your data in Realm allows you to provide an offline experience, as opposed to REST APIs where connectivity is always required.
• By caching your entire data set in Realm, you can exectute queries locally and provide a better search and browsing experience than wouldn’t be possible with REST alone.
• Storing your data in Realm can reduce server-side load by only fetching new or changed data.

Best Practices

1. Asynchronous Requests — Network requests and other blocking operations should be performed on a background thread to avoid blocking the user interface. For the same reason it is recommended that inserting or changing a large number of objects in a Realm are made on a background thread. You can use Notifications to respond to changes made in the background.
2. Caching large datasets — We recommend you pre-fetch data when possible and store it locally in a Realm. This allows you to perform queries over your entire dataset locally.
3. Insert-or-update — If your dataset has a unique identifier, such as a primary key, you can use it to easily implement insert-or-update logic using Realm().add(_:update:): when receiving a response from a REST API. These methods automatically check if each record already exist and apply updates to existing records while creating new records.

Example

The following is a simple example of how you can use Realm with a REST API. In this example, we’ll retrieve a JSON-formatted data set from the foursquare API, then save it as Realm Objects in the default Realm.

For a realtime example of a similar use case in action, check out our video demo.

First we create an instance of the default Realm to persist the data to, and fetch our data set from the API. For simplicity in this example we use NSData(contentsOfURL:).

// Call the API
let url = NSURL(string: "https://api.foursquare.com/v2/venues/search?near=San%20Francisco&limit=50")!
let response = NSData(contentsOfURL: url)!

// De-serialize the response to JSON
let json = (NSJSONSerialization.JSONObjectWithData(response,
    options: NSJSONReadingOptions(0),
      error: nil) as! NSDictionary)["response"]

The response contains a JSON array of venues similar to this:

{
  "venues": [
    {
      "id": "4c82f252d92ea09323185072",
      "name": "Golden Gate Park",
      "contact": {
        "phone": "4152522590"
      },
      "location": {
        "lat": 37.773835608329,
        "lng": -122.41962432861,
        "postalCode": "94103",
        "cc": "US",
        "state": "California",
        "country": "United States"          
      }
    }
  ]
}

There are several ways we may want to import this JSON into our Realm. You could read the NSDictionary and map the properties to a single Object manually via a custom insert function. For the sake of this example, we will instead directly insert the NSDictionary in the Realm and have it automatically be mapped to a hierarchy of Objects that will be created on the fly for us. For this to work, we need an Object structure whose properties will match all the keys in the JSON exactly. JSON keys not matched by an Object property will be ignored on insert. The following Object declarations would work:

class Contact: Object {
    dynamic var phone = ""

    static func primaryKey() -> String? {
        return "phone"
    }
}

class Location: Object {
    dynamic var lat = 0.0  // latitude
    dynamic var lng = 0.0  // longitude
    dynamic var postalCode = ""
    dynamic var cc = ""
    dynamic var state = ""
    dynamic var country = ""
}

class Venue: Object {
    dynamic var id = ""
    dynamic var name = ""
    dynamic var contact = Contact()
    dynamic var location = Location()

    static func primaryKey() -> String? {
        return "id"
    }
}

Since the result set is given to us as an array we have to create an object for each element by calling Realm().create(Venue.self, value: value). This creates Venue and its child objects from a JSON representation and adds the newly created obejcts to the default Realm:

//Extract the array of venues from the response
let venues = json["venues"] as! [NSDictionary]

let realm = Realm()
realm.write {
  // Save one Venue object (and dependents) for each element of the array
  for venue in venues {
    realm.create(Venue.self, value: venue, update: true)
  }
}

Next Steps

You can look at our examples to see Realm used in practice in an app. (We’re getting more samples ready!)

Happy hacking! You can always talk to a live human developer on realm-cocoa.

Current Limitations

Realm is currently in beta and we are continuously adding features and fixing issues while working towards a 1.0 release. Until then, we’ve compiled a list of our most commonly hit limitations.

Please refer to our GitHub issues for a more comprehensive list of known issues.

General Limits

Realm aims to strike a balance between flexibility and performance. In order to accomplish this goal, realistic limits are imposed on various aspects of storing information in a realm. For example:

1. Class names must be between 0 and 63 bytes in length. UTF8 characters are supported. An exception will be thrown at your app’s initialization if this limit is exceeded.
2. Property names must be between 0 and 63 bytes in length. UTF8 characters are supported. An exception will be thrown at your app’s initialization if this limit is exceeded.
3. NSData properties cannot hold data exceeding 16MB in size. To store larger amounts of data, either break it up into 16MB chunks or store it directly on the file system, storing paths to these files in the realm. An exception will be thrown at runtime if your app attempts to store more than 16MB in a single property.
4. NSDate properties can only persist date information down to one second. It also cannot represent +[NSDate distantFuture] or +[NSDate distantPast]. Refer to the NSDate entry in Current Limitations below for more information.
5. Any single Realm file cannot be larger than the amount of memory your application would be allowed to map in iOS — this changes per device, and depends on how fragmented the memory space is at that point in time (there is a radar open about this issue: rdar://17119975). If you need to store more data, you can map it over multiple Realm files.

Fine-grained notifications are not yet supported

While it is possible to receive notifications when a realm changes (see Notifications), it is not currently possible to determine what was added/removed/moved/updated from that notification. We will be adding this feature in the near future.

NSDate is truncated to the second

Persisting an NSDate with a fractional number of seconds will truncate the date to the second. A fix for this is in progress. See GitHub issue #875 for more details. In the mean time, you can store NSTimeInterval properties with no loss in precision.

Realm Object Setters & Getters cannot be overriden

Since Realm overrides setters and getters to back properties directly by the underlying database, you cannot override them on your objects. A simple workaround is to create new, realm-ignored properties, whose accessors can be overriden, and can call other setters/getters.

KVO is not supported

Realm doe not support KVO yet but has its own notification mechanism (see Notifications). We are working to add KVO support at the moment: see GitHub issue #601.

File size & tracking of intermediate versions

You should expect a Realm database to take less space on disk than an equivalent SQLite database. If your Realm file is much larger, it may be because you need to temporarily release Realm from tracking your objects, by calling invalidate.

In order to give you a consistent view of your data, Realm only updates the active version accessed between iterations of the run loop. This means that if you read some data from the Realm and then block the thread on a long-running operation while writing to the Realm on other threads, the version is never updated and Realm has to hold on to intermediate versions of the data which you may not actually need, resulting in the file size growing steadily. (This extra space would eventually be reused by future writes, or could be compacted — for example by calling writeCopyToPath:error:.) Instead, calling invalidate tells Realm that you no longer need any of the objects you’ve read from the Realm so far, and frees us of tracking intermediate versions of those objects.

FAQ

How big is the Realm library?

Once your app is built for release, Realm should only add around 1MB to its size. The releases we distribute are significantly larger (~37MB for iOS & ~2.4MB for OS X) because they include support for more architectures (ARM, ARM64, x86 for the simulator) and some debug symbols, which will all be stripped by Xcode automatically when you build your app.

Should I use Realm in production applications?

Realm has been used in production in commercial products since 2012.

You should expect our Objective‑C & Swift APIs to change as we evolve the product from community feedback — and you should expect more features & bugfixes to come along as well.

Do I have to pay to use Realm?

No, Realm is entirely free to use, even in commercial projects.

How do you all plan on making money?

We’re actually already generating revenue selling enterprise products and services around our technology. If you need more than what is currently in our releases or in realm-cocoa, we’re always happy to chat by email. Otherwise, we are committed to developing realm-cocoa in the open, and to keep it free and open-source under the Apache 2.0 license.

I see references to “tightdb” or a “core” in the code, what is that?

TightDB is the old name of our core C++ storage engine. The core is not currently open-source but we do plan on open-sourcing it, also under the Apache 2.0 license, once we’ve had a chance to clean it, rename it, and finalize major features inside of it. In the meantime, its binary releases are made available under the Realm Core (TightDB) Binary License.