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In Winter 12, Salesforce very quietly, and without any fanfare, introduced a capability to Apex that has been something of a holy grail to insane geeks like myself: the beginnings of support for Reflection in Apex. Which intrepid explorer blazed the trail that led to this prodigious capability? For those of you who keeping score, our silent hero’s name is not Indiana, but Jason. Or, more precisely, JSON.

This is a bit of a historical post, meant to pave the way for a more radical post coming later this week (stay tuned!). It describes events / features that have occurred / been introduced over the course of the past year, but whose full significance is only now being discovered by many developers. Understanding these developments will be a crucial preliminary to reading my upcoming post on an extension of Tony Scott’s trigger pattern to allow for scalable, extensible triggers usable by managed package developers / ISV’s (there, I let the cat out of the bag!)

Ancient History: Native JSON Support lands in Apex

In Winter 12, Salesforce added native support for JSON to Apex, meaning that you can, in just 2 lines of code convert (nearly) any Apex class/object into a JSON-formatted String, and then convert it back from a String into the proper Apex class/object. For instance:

Map<String,String> params = new Map<String,String>{
    'foo' => 'bar',
    'hello' => 'world'
// Serialize into a JSON string
String s = JSON.serialize(params);
// --> yields '{"foo":"bar","hello":"world"}

// Deserialize back into an Apex object

// Define the Type of Apex object that we want to deserialize into
System.Type t = Map<String,String>.class;

params = (Map<String,String>) JSON.deserialize(s,t)

The addition of support for JSON saved ISV’s the immense hassle (and extremely-limiting obstacle) of implementing their own JSON serialization classes, which could very quickly consume all of the 200,000 Script Statements Governor Limit. So needless to say, this alone made native JSON support a godsend to Apex developers.

The Tip of the Iceberg: System.Type and Apex Interfaces

But notice that little System.Type class that we instantiated prior to deserialization. As the Apex development team was building in JSON support, they laid the foundation for something even bigger – an Apex way to achieve what’s known as “Reflection”, or dynamic instantiation/execution of classes/methods based on name. For developers looking for a parallel in, this is similar to creating a new Sobject by getting a Schema.SObjectType token from the Global Describe Map using an arbitrary String (e.g. ‘Account’) as the map search key, and then calling the newSObject() method. In this scenario, you could have received the dynamic key (‘Account’) from anywhere — from a text field in a custom object in your database, from a JavaScript prompt in the client, etc., and run totally dynamic logic (the instantiation of an arbitrary SObject type) based on that String value.

How does this Schema example connect to Trigger Patterns? Well, the reason that the dynamic SObject instantiation from Schema data works is that each Custom and Standard Object in your database is an instance of an interface called “SObject”. An interface is a definition of methods that all implementations of that interface (such as Account, Contact, MyCustomObject__c) must support. This is why can cast any Account, Contact, or custom object record into an SObject and then get access to some of the dynamic methods that the SObject class supports, such as getField(String fieldName) or getSObject() — because each Account, Contact, or CustomObject__c record is not just an instance of an Account, Contact, or CustomObject__c — it’s also an implementation of the SObject interface, which defines the methods getField(), getSObject(), etc.

With native JSON in Apex, you can now take this Reflection business a huge step further, thanks again to the magic of interfaces. Before we tackle custom interfaces, let’s consider an important standard Apex interface: Schedulable. The Schedulable interface looks like this:

global interface Schedulable {
    global void execute(SchedulableContext ctx);

The power of Apex classes that implement Schedulable is that they can be scheduled for execution at a later date/time using the System.schedule() method, like so:

// Get an instance of MyScheduledClass,
// which implements Schedulable
Schedulable c = (Schedulable) new MyScheduledClass();

// Schedule MyScheduledClass to be run later
System.schedule('CleanUpBadLeads','0 0 8 10 2 ?',c);

Now, for those of you who were excited about Skoodat Relax, you may have just realized how it all works, and you are absolutely right! One of the features of Relax is its ability to store the name of a Scheduled Apex Class, and the CRON schedule that dictates when it should be run, in a custom Object called Job__c in Salesforce, and then dynamically activate, deactivate, and run the desired classes at the desired times. And the not-so-secret secret (Relax is on GitHub) behind it is: it all works because of interfaces… and because of native JSON support.

Taking this a step further, as Relax does, we can define complex custom interfaces, with whatever methods we’d like, and then, when our Apex code is run, we can call these methods on whatever implementation of our interface we are handed:

// Our interface definition
public interface Runnable {
   public void run();
// A sample implementation
public class DestroyBadApples implements Runnable {
   public override void run() {
       delete [select Id from Apple__c where CreatedDate <=];

// A sample use of this interface
public class RunStuff {
   public RunStuff() {
      // Define the stuff we'd like to run
      List<Runnable> stuffToRun = new List<Runnable>();
      stuffToRun.add(new DestroyBadApples());

      // Run the stuff
      for (Runnable r : stuffToRun);

Part 3, in which we catch the scent of our prey: Dynamic Class Instantiation with JSON

With Apex support for interfaces, developers already had, prior to Winter 12, one of the two key tools they needed that would make possible the Apex Holy Grail of dynamic method calls / code execution. The missing tool was the ability to create an implementation of an interface without knowing the class’ name beforehand. In our previous examples, notice how we had to hardcode the name of the implementations, e.g. MyScheduledClass and DestroyBadApples.

With Winter 12, our humble hero JSON gave us that missing tool. How so? Well, the JSON.deserialize(string,type) method allows us to deserialize any String into any supported Apex Type, as defined by Apex Classes which have a corresponding representation as a System.Type, a little-noted System class that crept in with Winter 12. The key tricks that turned System.Type into a Holy Grail as early as Winter 12 were

  1. A little trick involving an empty JSON String, e.g. “{}”
  2. System.Type.forName(name)

Combining these two tricks with interfaces, and voila! We have Dynamic Class Instantiation in Apex:

// A sample use of this interface
public class JobRunner {
   public static void ScheduleJobs() {
      // Retrieve the jobs we'd like to schedule from a custom object
      for (Job__c j : [select JobNumber__c, Cron__c, ApexClass__c from Job__c]) {
          try {
              // Get the Type 'token' for the Class
              System.Type t = System.Type.forName(j.ApexClass__c);
              if (t != null) {
                 // Cast this class in to a schedulable interface
                 // (if the cast fails, we'll get an error)
                 Schedulable s = (Schedulable) JSON.deserialize('{}',t);
                 // Schedule our Schedulable using the stored CRON schedule 
          } catch (Exception ex) {}

Part the 4th, in which our hero’s achievements are acknowledged but his powers not increased

In Summer 12, Salesforce “officially” acknowledged its intentions with System.Type and added a newInstance() instance method allowing for less hackish dynamic class instantiation by name. However, the JSON method remains far more powerful, as it allows us to dynamically populate all manner of fields/properties on our dynamically-instantiated objects — using industry-standard JSON syntax, allowing this dynamic population to be initiated client-side and completed server-side in Apex! If your mind is not spinning with all of the possibilities right now, I’m sure it either did so already during the past 12 months, or will start doing so very soon, particularly when we talk about applying this capability to Triggers (more propaganda for the next post!)

So where can Salesforce go from here? Well, there is still no direct way to dynamically execute a particular method on an Apex class without hard-coding the method’s name. Support for this would take Reflection in Apex to a whole new level. For now, though, well-crafted Interfaces can usually get around this limitation. The real meat of the work was done early last year when Salesforce R&D was “snowed over” in development for Winter 12, and for the fruit of those 4 months, the Development community should be immensely thankful.



  1. Zach, your posts very thorough and useful. I look forward to your next one on Tony Scott’s trigger pattern. Thanks.

  2. I tried using the json.deserialize to call a class from a package. The problem here is if i have not installed that package, then the explicit Cast does not work, and we get compile time error, as the interface(& the package) dont exist. So i dont know how we can call this as dynamic instantiation(

    • A R, you should never try to instantiate an instance of a class, or interface, before checking to see that it exists. You can do this with System.Type.forName(), e.g. if the interface/class you are looking for is called ‘MyClass’, and it is in a managed package with namespace ‘acme’, then you should first check that the class exists by doing “boolean classExists = (System.Type.forName(‘acme.MyClass’) != null);”

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