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Learning Java, 4th Edition by Patrick Niemeyer, Daniel Leuck

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Safety of Design

You have no doubt heard a lot about the fact that Java is designed to be a safe language. But what do we mean by safe? Safe from what or whom? The security features that attract the most attention for Java are those features that make possible new types of dynamically portable software. Java provides several layers of protection from dangerously flawed code as well as more mischievous things such as viruses and Trojan horses. In the next section, we’ll take a look at how the Java virtual machine architecture assesses the safety of code before it’s run and how the Java class loader (the bytecode loading mechanism of the Java interpreter) builds a wall around untrusted classes. These features provide the foundation for high-level security policies that can allow or disallow various kinds of activities on an application-by-application basis.

In this section, though, we’ll look at some general features of the Java programming language. Perhaps more important than the specific security features, although often overlooked in the security din, is the safety that Java provides by addressing common design and programming problems. Java is intended to be as safe as possible from the simple mistakes we make ourselves as well as those we inherit from legacy software. The goal with Java has been to keep the language simple, provide tools that have demonstrated their usefulness, and let users build more complicated facilities on top of the language when needed.

Simplify, Simplify, Simplify...

With Java, simplicity rules. Since Java started with a clean slate, it was able to avoid features that proved to be messy or controversial in other languages. For example, Java doesn’t allow programmer-defined operator overloading (which in some languages allows programmers to redefine the meaning of basic symbols like + and –). Java doesn’t have a source code preprocessor, so it doesn’t have things like macros, #define statements, or conditional source compilation. These constructs exist in other languages primarily to support platform dependencies, so in that sense, they should not be needed in Java. Conditional compilation is also commonly used for debugging, but Java’s sophisticated runtime optimizations and features such as assertions solve the problem more elegantly (we’ll cover these in Chapter 4).

Java provides a well-defined package structure for organizing class files. The package system allows the compiler to handle some of the functionality of the traditional make utility (a tool for building executables from source code). The compiler can also work with compiled Java classes directly because all type information is preserved; there is no need for extraneous source “header” files, as in C/C++. All this means that Java code requires less context to read. Indeed, you may sometimes find it faster to look at the Java source code than to refer to class documentation.

Java also takes a different approach to some structural features that have been troublesome in other languages. For example, Java supports only a single inheritance class hierarchy (each class may have only one “parent” class), but allows multiple inheritance of interfaces. An interface, like an abstract class in C++, specifies the behavior of an object without defining its implementation. It is a very powerful mechanism that allows the developer to define a “contract” for object behavior that can be used and referred to independently of any particular object implementation. Interfaces in Java eliminate the need for multiple inheritance of classes and the associated problems.

As you’ll see in Chapter 4, Java is a fairly simple and elegant programming language and that is still a large part of its appeal.

Type Safety and Method Binding

One attribute of a language is the kind of type checking it uses. Generally, languages are categorized as static or dynamic, which refers to the amount of information about variables known at compile time versus what is known while the application is running.

In a strictly statically typed language such as C or C++, data types are etched in stone when the source code is compiled. The compiler benefits from this by having enough information to catch many kinds of errors before the code is executed. For example, the compiler would not allow you to store a floating-point value in an integer variable. The code then doesn’t require runtime type checking, so it can be compiled to be small and fast. But statically typed languages are inflexible. They don’t support collections as naturally as languages with dynamic type checking, and they make it impossible for an application to safely import new data types while it’s running.

In contrast, a dynamic language such as Smalltalk or Lisp has a runtime system that manages the types of objects and performs necessary type checking while an application is executing. These kinds of languages allow for more complex behavior and are in many respects more powerful. However, they are also generally slower, less safe, and harder to debug.

The differences in languages have been likened to the differences among kinds of automobiles.[2] Statically typed languages such as C++ are analogous to a sports car: reasonably safe and fast, but useful only if you’re driving on a nicely paved road. Highly dynamic languages such as Smalltalk are more like an off-road vehicle: they afford you more freedom but can be somewhat unwieldy. It can be fun (and sometimes faster) to go roaring through the backwoods, but you might also get stuck in a ditch or mauled by bears.

Another attribute of a language is the way it binds method calls to their definitions. In a static language such as C or C++, the definitions of methods are normally bound at compile time, unless the programmer specifies otherwise. Languages like Smalltalk, on the other hand, are called late binding because they locate the definitions of methods dynamically at runtime. Early binding is important for performance reasons; an application can run without the overhead incurred by searching for methods at runtime. But late binding is more flexible. It’s also necessary in an object-oriented language where new types can be loaded dynamically and only the runtime system can determine which method to run.

Java provides some of the benefits of both C++ and Smalltalk; it’s a statically typed, late-binding language. Every object in Java has a well-defined type that is known at compile time. This means the Java compiler can do the same kind of static type checking and usage analysis as C++. As a result, you can’t assign an object to the wrong type of variable or call nonexistent methods on an object. The Java compiler goes even further and prevents you from using uninitialized variables and creating unreachable statements (see Chapter 4).

However, Java is fully runtime-typed as well. The Java runtime system keeps track of all objects and makes it possible to determine their types and relationships during execution. This means you can inspect an object at runtime to determine what it is. Unlike C or C++, casts from one type of object to another are checked by the runtime system, and it’s possible to use new kinds of dynamically loaded objects with a degree of type safety. And because Java is a late binding language, it’s always possible for a subclass to override methods in its superclass, even a subclass loaded at runtime.

Incremental Development

Java carries all data type and method signature information with it from its source code to its compiled bytecode form. This means that Java classes can be developed incrementally. Your own Java source code can also be compiled safely with classes from other sources your compiler has never seen. In other words, you can write new code that references binary class files without losing the type safety you gain from having the source code.

Java does not suffer from the “fragile base class” problem. In languages such as C++, the implementation of a base class can be effectively frozen because it has many derived classes; changing the base class may require recompilation of all of the derived classes. This is an especially difficult problem for developers of class libraries. Java avoids this problem by dynamically locating fields within classes. As long as a class maintains a valid form of its original structure, it can evolve without breaking other classes that are derived from it or that make use of it.

Dynamic Memory Management

Some of the most important differences between Java and lower-level languages such as C and C++ involve how Java manages memory. Java eliminates ad hoc “pointers” that can reference arbitrary areas of memory and adds object garbage collection and high-level arrays to the language. These features eliminate many otherwise insurmountable problems with safety, portability, and optimization.

Garbage collection alone has saved countless programmers from the single largest source of programming errors in C or C++: explicit memory allocation and deallocation. In addition to maintaining objects in memory, the Java runtime system keeps track of all references to those objects. When an object is no longer in use, Java automatically removes it from memory. You can, for the most part, simply ignore objects you no longer use, with confidence that the interpreter will clean them up at an appropriate time.

Java uses a sophisticated garbage collector that runs in the background, which means that most garbage collecting takes place during idle times, between I/O pauses, mouse clicks, or keyboard hits. Advanced runtime systems, such as HotSpot, have more advanced garbage collection that can differentiate the usage patterns of objects (such as short-lived versus long-lived) and optimize their collection. The Java runtime can now tune itself automatically for the optimal distribution of memory for different kinds of applications based on their behavior. With this kind of runtime profiling, automatic memory management can be much faster than the most diligently programmer-managed resources, something that some old-school programmers still find hard to believe.

We’ve said that Java doesn’t have pointers. Strictly speaking, this statement is true, but it’s also misleading. What Java provides are references—a safe kind of pointer. A reference is a strongly typed handle for an object. All objects in Java, with the exception of primitive numeric types, are accessed through references. You can use references to build all the normal kinds of data structures a C programmer would be accustomed to building with pointers, such as linked lists, trees, and so forth. The only difference is that with references, you have to do so in a typesafe way.

Another important difference between a reference and a pointer is that you can’t play games (perform pointer arithmetic) with references to change their values; they can point only to specific objects or elements of an array. A reference is an atomic thing; you can’t manipulate the value of a reference except by assigning it to an object. References are passed by value, and you can’t reference an object through more than a single level of indirection. The protection of references is one of the most fundamental aspects of Java security. It means that Java code has to play by the rules; it can’t peek into places it shouldn’t and circumvent the rules.

Java references can point only to class types. There are no pointers to methods. People sometimes complain about this missing feature, but you will find that most tasks that call for pointers to methods can be accomplished more cleanly using interfaces and adapter classes instead. We should also mention that Java has a sophisticated Reflection API that actually allows you to reference and invoke individual methods. However, this is not the normal way of doing things. We discuss reflection in Chapter 7.

Finally, we should mention that arrays in Java are true, first-class objects. They can be dynamically allocated and assigned like other objects. Arrays know their own size and type, and although you can’t directly define or subclass array classes, they do have a well-defined inheritance relationship based on the relationship of their base types. Having true arrays in the language alleviates much of the need for pointer arithmetic, such as that used in C or C++.

Error Handling

Java’s roots are in networked devices and embedded systems. For these applications, it’s important to have robust and intelligent error management. Java has a powerful exception handling mechanism, somewhat like that in newer implementations of C++. Exceptions provide a more natural and elegant way to handle errors. Exceptions allow you to separate error handling code from normal code, which makes for cleaner, more readable applications.

When an exception occurs, it causes the flow of program execution to be transferred to a predesignated “catch” block of code. The exception carries with it an object that contains information about the situation that caused the exception. The Java compiler requires that a method either declare the exceptions it can generate or catch and deal with them itself. This promotes error information to the same level of importance as argument and return types for methods. As a Java programmer, you know precisely what exceptional conditions you must deal with, and you have help from the compiler in writing correct software that doesn’t leave them unhandled.

Threads

Modern applications require a high degree of parallelism. Even a very single-minded application can have a complex user interface—which requires concurrent activities. As machines get faster, users become more sensitive to waiting for unrelated tasks that seize control of their time. Threads provide efficient multiprocessing and distribution of tasks for both client and server applications. Java makes threads easy to use because support for them is built into the language.

Concurrency is nice, but there’s more to programming with threads than just performing multiple tasks simultaneously. In most cases, threads need to be synchronized (coordinated), which can be tricky without explicit language support. Java supports synchronization based on the monitor and condition model—a sort of lock and key system for accessing resources. The keyword synchronized designates methods and blocks of code for safe, serialized access within an object. There are also simple, primitive methods for explicit waiting and signaling between threads interested in the same object.

Java also has a high-level concurrency package that provides powerful utilities addressing common patterns in multithreaded programming, such as thread pools, coordination of tasks, and sophisticated locking. With the addition of the concurrency package and related utilities, Java provides some of the most advanced thread-related utilities of any language.

Although some developers may never have to write multithreaded code, learning to program with threads is an important part of mastering programming in Java and something all developers should grasp. See Chapter 9 for a discussion of this topic.

Scalability

At the lowest level, Java programs consist of classes. Classes are intended to be small, modular components. Over classes, Java provides packages, a layer of structure that groups classes into functional units. Packages provide a naming convention for organizing classes and a second tier of organizational control over the visibility of variables and methods in Java applications.

Within a package, a class is either publicly visible or protected from outside access. Packages form another type of scope that is closer to the application level. This lends itself to building reusable components that work together in a system. Packages also help in designing a scalable application that can grow without becoming a bird’s nest of tightly coupled code.



[2] The credit for the car analogy goes to Marshall P. Cline, author of the C++ FAQ.

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