[This post is by Fred Chung, who’s an Android Developer Advocate — Tim Bray]
The Dalvik VM provides facilities for developers to perform custom class loading. Instead of loading Dalvik executable (“dex”) files from the default location, an application can load them from alternative locations such as internal storage or over the network.
This technique is not for every application; In fact, most do just fine without it. However, there are situations where custom class loading can come in handy. Here are a couple of scenarios:
  • Big apps can contain more than 64K method references, which is the maximum number of supported in a dex file. To get around this limitation, developers can partition part of the program into multiple secondary dex files, and load them at runtime.
  • Frameworks can be designed to make their execution logic extensible by dynamic code loading at runtime.
We have created a sample app to demonstrate the partitioning of dex files and runtime class loading. (Note that for reasons discussed below, the app cannot be built with the ADT Eclipse plug-in. Instead, use the included Ant build script. See Readme.txt for detail.)
The app has a simple Activity that invokes a library component to display a Toast. The Activity and its resources are kept in the default dex, whereas the library code is stored in a secondary dex bundled in the APK. This requires a modified build process, which is shown below in detail.
Before the library method can be invoked, the app has to first explicitly load the secondary dex file. Let’s take a look at the relevant moving parts.
Code Organization

The application consists of 3 classes.
  • com.example.dex.MainActivity: UI component from which the library is invoked
  • com.example.dex.LibraryInterface: Interface definition for the library
  • com.example.dex.lib.LibraryProvider: Implementation of the library
The library is packaged in a secondary dex, while the rest of the classes are included in the default (primary) dex file. The “Build process” section below illustrates how to accomplish this. Of course, the packaging decision is dependent on the particular scenario a developer is dealing with.
Class loading and method invocation

The secondary dex file, containing LibraryProvider, is stored as an application asset. First, it has to be copied to a storage location whose path can be supplied to the class loader. The sample app uses the app’s private internal storage area for this purpose. (Technically, external storage would also work, but one has to consider the security implications of keeping application binaries there.)
Below is a snippet from MainActivity where standard file I/O is used to accomplish the copying.

// Before the secondary dex file can be processed by the DexClassLoader, // it has to be first copied from asset resource to a storage location. File dexInternalStoragePath = new File(getDir("dex", Context.MODE_PRIVATE), SECONDARY_DEX_NAME); ... BufferedInputStream bis = null; OutputStream dexWriter = null; static final int BUF_SIZE = 8 * 1024; try { bis = new BufferedInputStream(getAssets().open(SECONDARY_DEX _NAME)); dexWriter = new BufferedOutputStream( new FileOutputStream(dexInternalStoragePath)); byte[] buf = new byte[BUF_SIZE]; int len; while((len = bis.read(buf, 0, BUF_SIZE)) > 0) { dexWriter.write(buf, 0, len); } dexWriter.flush(); dexWriter.close(); bis.close(); } catch (. . .) {...}Next, a DexClassLoader is instantiated to load the library from the extracted secondary dex file. There are a couple of ways to invoke methods on classes loaded in this manner. In this sample, the class instance is cast to an interface through which the method is called directly.
Another approach is to invoke methods using the reflection API. The advantage of using reflection is that it doesn’t require the secondary dex file to implement any particular interfaces. However, one should be aware that reflection is verbose and slow.

// Internal storage where the DexClassLoader writes the optimized dex file to final File optimizedDexOutputPath = getDir("outdex", Context.MODE_PRIVATE); DexClassLoader cl = new DexClassLoader(dexInternalStoragePath.getAbsoluteP ath(), optimizedDexOutputPath.getAbsolutePath(), null, getClassLoader()); Class libProviderClazz = null; try { // Load the library. libProviderClazz = cl.loadClass("com.example.dex.lib.LibraryProvider" ); // Cast the return object to the library interface so that the // caller can directly invoke methods in the interface. // Alternatively, the caller can invoke methods through reflection, // which is more verbose. LibraryInterface lib = (LibraryInterface) libProviderClazz.newInstance(); lib.showAwesomeToast(this, "hello"); } catch (Exception e) { ... }Build Process

In order to churn out two separate dex files, we need to tweak the standard build process. To do the trick, we simply modify the “-dex” target in the project’s Ant build.xml.
The modified “-dex” target performs the following operations:
  1. Create two staging directories to store .class files to be converted to the default dex and the secondary dex.
  2. Selectively copy .class files from PROJECT_ROOT/bin/classes to the two staging directories.

  3. Convert .class files from the two staging directories into two separate dex files.
  4. Add the secondary dex file to a jar file, which is the expected input format for the DexClassLoader. Lastly, store the jar file in the “assets” directory of the project.

To kick-off the build, you execute ant debug (or release) from the project root directory.
That’s it! In the right situations, dynamic class loading can be quite useful.