- •Contents
- •Introduction
- •Who This Book Is For
- •What This Book Covers
- •How This Book Is Structured
- •What You Need to Use This Book
- •Conventions
- •Source Code
- •Errata
- •p2p.wrox.com
- •The Basics of C++
- •The Obligatory Hello, World
- •Namespaces
- •Variables
- •Operators
- •Types
- •Conditionals
- •Loops
- •Arrays
- •Functions
- •Those Are the Basics
- •Diving Deeper into C++
- •Pointers and Dynamic Memory
- •Strings in C++
- •References
- •Exceptions
- •The Many Uses of const
- •C++ as an Object-Oriented Language
- •Declaring a Class
- •Your First Useful C++ Program
- •An Employee Records System
- •The Employee Class
- •The Database Class
- •The User Interface
- •Evaluating the Program
- •What Is Programming Design?
- •The Importance of Programming Design
- •Two Rules for C++ Design
- •Abstraction
- •Reuse
- •Designing a Chess Program
- •Requirements
- •Design Steps
- •An Object-Oriented View of the World
- •Am I Thinking Procedurally?
- •The Object-Oriented Philosophy
- •Living in a World of Objects
- •Object Relationships
- •Abstraction
- •Reusing Code
- •A Note on Terminology
- •Deciding Whether or Not to Reuse Code
- •Strategies for Reusing Code
- •Bundling Third-Party Applications
- •Open-Source Libraries
- •The C++ Standard Library
- •Designing with Patterns and Techniques
- •Design Techniques
- •Design Patterns
- •The Reuse Philosophy
- •How to Design Reusable Code
- •Use Abstraction
- •Structure Your Code for Optimal Reuse
- •Design Usable Interfaces
- •Reconciling Generality and Ease of Use
- •The Need for Process
- •Software Life-Cycle Models
- •The Stagewise and Waterfall Models
- •The Spiral Method
- •The Rational Unified Process
- •Software-Engineering Methodologies
- •Extreme Programming (XP)
- •Software Triage
- •Be Open to New Ideas
- •Bring New Ideas to the Table
- •Thinking Ahead
- •Keeping It Clear
- •Elements of Good Style
- •Documenting Your Code
- •Reasons to Write Comments
- •Commenting Styles
- •Comments in This Book
- •Decomposition
- •Decomposition through Refactoring
- •Decomposition by Design
- •Decomposition in This Book
- •Naming
- •Choosing a Good Name
- •Naming Conventions
- •Using Language Features with Style
- •Use Constants
- •Take Advantage of const Variables
- •Use References Instead of Pointers
- •Use Custom Exceptions
- •Formatting
- •The Curly Brace Alignment Debate
- •Coming to Blows over Spaces and Parentheses
- •Spaces and Tabs
- •Stylistic Challenges
- •Introducing the Spreadsheet Example
- •Writing Classes
- •Class Definitions
- •Defining Methods
- •Using Objects
- •Object Life Cycles
- •Object Creation
- •Object Destruction
- •Assigning to Objects
- •Distinguishing Copying from Assignment
- •The Spreadsheet Class
- •Freeing Memory with Destructors
- •Handling Copying and Assignment
- •Different Kinds of Data Members
- •Static Data Members
- •Const Data Members
- •Reference Data Members
- •Const Reference Data Members
- •More about Methods
- •Static Methods
- •Const Methods
- •Method Overloading
- •Default Parameters
- •Inline Methods
- •Nested Classes
- •Friends
- •Operator Overloading
- •Implementing Addition
- •Overloading Arithmetic Operators
- •Overloading Comparison Operators
- •Building Types with Operator Overloading
- •Pointers to Methods and Members
- •Building Abstract Classes
- •Using Interface and Implementation Classes
- •Building Classes with Inheritance
- •Extending Classes
- •Overriding Methods
- •Inheritance for Reuse
- •The WeatherPrediction Class
- •Adding Functionality in a Subclass
- •Replacing Functionality in a Subclass
- •Respect Your Parents
- •Parent Constructors
- •Parent Destructors
- •Referring to Parent Data
- •Casting Up and Down
- •Inheritance for Polymorphism
- •Return of the Spreadsheet
- •Designing the Polymorphic Spreadsheet Cell
- •The Spreadsheet Cell Base Class
- •The Individual Subclasses
- •Leveraging Polymorphism
- •Future Considerations
- •Multiple Inheritance
- •Inheriting from Multiple Classes
- •Naming Collisions and Ambiguous Base Classes
- •Interesting and Obscure Inheritance Issues
- •Special Cases in Overriding Methods
- •Copy Constructors and the Equals Operator
- •The Truth about Virtual
- •Runtime Type Facilities
- •Non-Public Inheritance
- •Virtual Base Classes
- •Class Templates
- •Writing a Class Template
- •How the Compiler Processes Templates
- •Distributing Template Code between Files
- •Template Parameters
- •Method Templates
- •Template Class Specialization
- •Subclassing Template Classes
- •Inheritance versus Specialization
- •Function Templates
- •Function Template Specialization
- •Function Template Overloading
- •Friend Function Templates of Class Templates
- •Advanced Templates
- •More about Template Parameters
- •Template Class Partial Specialization
- •Emulating Function Partial Specialization with Overloading
- •Template Recursion
- •References
- •Reference Variables
- •Reference Data Members
- •Reference Parameters
- •Reference Return Values
- •Deciding between References and Pointers
- •Keyword Confusion
- •The const Keyword
- •The static Keyword
- •Order of Initialization of Nonlocal Variables
- •Types and Casts
- •typedefs
- •Casts
- •Scope Resolution
- •Header Files
- •C Utilities
- •Variable-Length Argument Lists
- •Preprocessor Macros
- •How to Picture Memory
- •Allocation and Deallocation
- •Arrays
- •Working with Pointers
- •Array-Pointer Duality
- •Arrays Are Pointers!
- •Not All Pointers Are Arrays!
- •Dynamic Strings
- •C-Style Strings
- •String Literals
- •The C++ string Class
- •Pointer Arithmetic
- •Custom Memory Management
- •Garbage Collection
- •Object Pools
- •Function Pointers
- •Underallocating Strings
- •Memory Leaks
- •Double-Deleting and Invalid Pointers
- •Accessing Out-of-Bounds Memory
- •Using Streams
- •What Is a Stream, Anyway?
- •Stream Sources and Destinations
- •Output with Streams
- •Input with Streams
- •Input and Output with Objects
- •String Streams
- •File Streams
- •Jumping around with seek() and tell()
- •Linking Streams Together
- •Bidirectional I/O
- •Internationalization
- •Wide Characters
- •Non-Western Character Sets
- •Locales and Facets
- •Errors and Exceptions
- •What Are Exceptions, Anyway?
- •Why Exceptions in C++ Are a Good Thing
- •Why Exceptions in C++ Are a Bad Thing
- •Our Recommendation
- •Exception Mechanics
- •Throwing and Catching Exceptions
- •Exception Types
- •Throwing and Catching Multiple Exceptions
- •Uncaught Exceptions
- •Throw Lists
- •Exceptions and Polymorphism
- •The Standard Exception Hierarchy
- •Catching Exceptions in a Class Hierarchy
- •Writing Your Own Exception Classes
- •Stack Unwinding and Cleanup
- •Catch, Cleanup, and Rethrow
- •Use Smart Pointers
- •Common Error-Handling Issues
- •Memory Allocation Errors
- •Errors in Constructors
- •Errors in Destructors
- •Putting It All Together
- •Why Overload Operators?
- •Limitations to Operator Overloading
- •Choices in Operator Overloading
- •Summary of Overloadable Operators
- •Overloading the Arithmetic Operators
- •Overloading Unary Minus and Unary Plus
- •Overloading Increment and Decrement
- •Overloading the Subscripting Operator
- •Providing Read-Only Access with operator[]
- •Non-Integral Array Indices
- •Overloading the Function Call Operator
- •Overloading the Dereferencing Operators
- •Implementing operator*
- •Implementing operator->
- •What in the World Is operator->* ?
- •Writing Conversion Operators
- •Ambiguity Problems with Conversion Operators
- •Conversions for Boolean Expressions
- •How new and delete Really Work
- •Overloading operator new and operator delete
- •Overloading operator new and operator delete with Extra Parameters
- •Two Approaches to Efficiency
- •Two Kinds of Programs
- •Is C++ an Inefficient Language?
- •Language-Level Efficiency
- •Handle Objects Efficiently
- •Use Inline Methods and Functions
- •Design-Level Efficiency
- •Cache as Much as Possible
- •Use Object Pools
- •Use Thread Pools
- •Profiling
- •Profiling Example with gprof
- •Cross-Platform Development
- •Architecture Issues
- •Implementation Issues
- •Platform-Specific Features
- •Cross-Language Development
- •Mixing C and C++
- •Shifting Paradigms
- •Linking with C Code
- •Mixing Java and C++ with JNI
- •Mixing C++ with Perl and Shell Scripts
- •Mixing C++ with Assembly Code
- •Quality Control
- •Whose Responsibility Is Testing?
- •The Life Cycle of a Bug
- •Bug-Tracking Tools
- •Unit Testing
- •Approaches to Unit Testing
- •The Unit Testing Process
- •Unit Testing in Action
- •Higher-Level Testing
- •Integration Tests
- •System Tests
- •Regression Tests
- •Tips for Successful Testing
- •The Fundamental Law of Debugging
- •Bug Taxonomies
- •Avoiding Bugs
- •Planning for Bugs
- •Error Logging
- •Debug Traces
- •Asserts
- •Debugging Techniques
- •Reproducing Bugs
- •Debugging Reproducible Bugs
- •Debugging Nonreproducible Bugs
- •Debugging Memory Problems
- •Debugging Multithreaded Programs
- •Debugging Example: Article Citations
- •Lessons from the ArticleCitations Example
- •Requirements on Elements
- •Exceptions and Error Checking
- •Iterators
- •Sequential Containers
- •Vector
- •The vector<bool> Specialization
- •deque
- •list
- •Container Adapters
- •queue
- •priority_queue
- •stack
- •Associative Containers
- •The pair Utility Class
- •multimap
- •multiset
- •Other Containers
- •Arrays as STL Containers
- •Strings as STL Containers
- •Streams as STL Containers
- •bitset
- •The find() and find_if() Algorithms
- •The accumulate() Algorithms
- •Function Objects
- •Arithmetic Function Objects
- •Comparison Function Objects
- •Logical Function Objects
- •Function Object Adapters
- •Writing Your Own Function Objects
- •Algorithm Details
- •Utility Algorithms
- •Nonmodifying Algorithms
- •Modifying Algorithms
- •Sorting Algorithms
- •Set Algorithms
- •The Voter Registration Audit Problem Statement
- •The auditVoterRolls() Function
- •The getDuplicates() Function
- •The RemoveNames Functor
- •The NameInList Functor
- •Testing the auditVoterRolls() Function
- •Allocators
- •Iterator Adapters
- •Reverse Iterators
- •Stream Iterators
- •Insert Iterators
- •Extending the STL
- •Why Extend the STL?
- •Writing an STL Algorithm
- •Writing an STL Container
- •The Appeal of Distributed Computing
- •Distribution for Scalability
- •Distribution for Reliability
- •Distribution for Centrality
- •Distributed Content
- •Distributed versus Networked
- •Distributed Objects
- •Serialization and Marshalling
- •Remote Procedure Calls
- •CORBA
- •Interface Definition Language
- •Implementing the Class
- •Using the Objects
- •A Crash Course in XML
- •XML as a Distributed Object Technology
- •Generating and Parsing XML in C++
- •XML Validation
- •Building a Distributed Object with XML
- •SOAP (Simple Object Access Protocol)
- •. . . Write a Class
- •. . . Subclass an Existing Class
- •. . . Throw and Catch Exceptions
- •. . . Read from a File
- •. . . Write to a File
- •. . . Write a Template Class
- •There Must Be a Better Way
- •Smart Pointers with Reference Counting
- •Double Dispatch
- •Mix-In Classes
- •Object-Oriented Frameworks
- •Working with Frameworks
- •The Model-View-Controller Paradigm
- •The Singleton Pattern
- •Example: A Logging Mechanism
- •Implementation of a Singleton
- •Using a Singleton
- •Example: A Car Factory Simulation
- •Implementation of a Factory
- •Using a Factory
- •Other Uses of Factories
- •The Proxy Pattern
- •Example: Hiding Network Connectivity Issues
- •Implementation of a Proxy
- •Using a Proxy
- •The Adapter Pattern
- •Example: Adapting an XML Library
- •Implementation of an Adapter
- •Using an Adapter
- •The Decorator Pattern
- •Example: Defining Styles in Web Pages
- •Implementation of a Decorator
- •Using a Decorator
- •The Chain of Responsibility Pattern
- •Example: Event Handling
- •Implementation of a Chain of Responsibility
- •Using a Chain of Responsibility
- •Example: Event Handling
- •Implementation of an Observer
- •Using an Observer
- •Chapter 1: A Crash Course in C++
- •Chapter 3: Designing with Objects
- •Chapter 4: Designing with Libraries and Patterns
- •Chapter 5: Designing for Reuse
- •Chapter 7: Coding with Style
- •Chapters 8 and 9: Classes and Objects
- •Chapter 11: Writing Generic Code with Templates
- •Chapter 14: Demystifying C++ I/O
- •Chapter 15: Handling Errors
- •Chapter 16: Overloading C++ Operators
- •Chapter 17: Writing Efficient C++
- •Chapter 19: Becoming Adept at Testing
- •Chapter 20: Conquering Debugging
- •Chapter 24: Exploring Distributed Objects
- •Chapter 26: Applying Design Patterns
- •Beginning C++
- •General C++
- •I/O Streams
- •The C++ Standard Library
- •C++ Templates
- •Integrating C++ and Other Languages
- •Algorithms and Data Structures
- •Open-Source Software
- •Software-Engineering Methodology
- •Programming Style
- •Computer Architecture
- •Efficiency
- •Testing
- •Debugging
- •Distributed Objects
- •CORBA
- •XML and SOAP
- •Design Patterns
- •Index
Chapter 25
SimpleTemplate<string> stringWrapper(str); str += “!”;
cout << “wrapper value is “ << stringWrapper.get() << endl;
}
There Must Be a Better Way
As you read this paragraph, thousands of C++ programmers throughout the world are solving problems that have already been solved. Someone in a cubicle in San Jose is writing a smart pointer implementation from scratch that uses reference counting. A young programmer on a Mediterranean island is designing a class hierarchy that could benefit immensely from the use of mix-in classes.
As a Professional C++ programmer, you need to spend less of your time reinventing the wheel, and more of your time adapting reusable concepts in new ways. The following techniques are generalpurpose approaches that you can apply directly to your own programs or customize for your needs.
Smart Pointers with Reference Counting
Chapters 4 and 13 introduced the notion of a smart pointer: a method for wrapping dynamically allocated memory in a safe stack-based variable. Chapter 16 showed an implementation of a smart pointer using a template class. The following technique enhances the example from Chapter 16 by including reference counting.
The Need for Reference Counting
As a general concept, reference counting is the technique for keeping track of the number of instances of a class or particular object that are in use. A reference-counting smart pointer is one that keeps track of how many smart pointers have been built to refer to a single real pointer. This way, smart pointers can avoid double deletion.
The double deletion problem is easy to provoke with non-reference-counting smart pointers. Consider the following class, Nothing, which simply prints out messages when an object is created or destroyed.
class Nothing
{
public:
Nothing() { cout << “Nothing::Nothing()” << endl; } ~Nothing() { cout << “Nothing::~Nothing()” << endl; }
};
If you were to create two standard C++ auto_ptrs and have them both refer to the same Nothing object, both smart pointers would attempt to delete the same object when they go out of scope:
void doubleDelete()
{
Nothing* myNothing = new Nothing();
auto_ptr<Nothing*> autoPtr1(myNothing); auto_ptr<Nothing*> autoPtr2(myNothing);
}
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Incorporating Techniques and Frameworks
The output of the previous function would be:
Nothing::Nothing()
Nothing::~Nothing()
Nothing::~Nothing()
Yikes! One call to the constructor and two calls to the destructor? And this from a class that’s supposed to make pointers safe?
If you only use smart pointers for simple cases, such as allocating memory that is only used within a function, this issue will not be a problem. However, if your program stores several smart pointers in a data structure or otherwise complicates the use of smart pointers by copying them, assigning them, or passing them as arguments to functions, adding another level of safety is essential.
A reference-counting smart pointer is safer than the built-in auto_ptr because it keeps track of the number of references to a pointer and deletes the memory only when it is no longer in use.
The SuperSmartPointer
The approach for SuperSmartPointer, a reference-counting smart pointer implementation is to keep a static map for reference counts. Each key in the map is the memory address of a traditional pointer that is referred to by one or more SuperSmartPointers. The corresponding value is the number of SuperSmartPointers that refer to that object.
The implementation of SuperSmartPointer that follows is based on the smart pointer code shown in Chapter 16. You may want to review that code before continuing. The major changes occur when a new pointer is set (through the single argument constructor, the copy constructor, or operator=) and when a SuperSmartPointer is finished with an underlying pointer (upon destruction or reassignment with operator=).
On initialization of a new pointer, the initPointer() method checks the static map to see if the pointer is already contained by an existing SuperSmartPointer. If it is not, the count is initialized to 1. If it is already in the map, the count is bumped up. When the pointer is reassigned or the containing SuperSmartPointer is destroyed, the finalizePointer() method is called. The method begins by printing an error if the pointer is not found in the map. If the pointer is found, its count is decremented by one. If this brings the count down to zero, the underlying pointer can be safely released. At this time, the key/value pair is explicitly removed from the map to keep the map size down.
#include <map> #include <iostream>
template <typename T> class SuperSmartPointer
{
public:
explicit SuperSmartPointer(T* inPtr); ~SuperSmartPointer();
SuperSmartPointer(const SuperSmartPointer<T>& src);
SuperSmartPointer<T>& operator=(const SuperSmartPointer<T>& rhs);
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Chapter 25
const T& operator*() const; const T* operator->() const; T& operator*();
T* operator->();
operator void*() const { return mPtr; }
protected: T* mPtr;
static std::map<T*, int> sRefCountMap;
void finalizePointer(); void initPointer(T* inPtr);
};
template <typename T>
std::map<T*, int>SuperSmartPointer<T>::sRefCountMap;
template <typename T> SuperSmartPointer<T>::SuperSmartPointer(T* inPtr)
{
initPointer(inPtr);
}
template <typename T>
SuperSmartPointer<T>::SuperSmartPointer(const SuperSmartPointer<T>& src)
{
initPointer(src.mPtr);
}
template <typename T> SuperSmartPointer<T>&
SuperSmartPointer<T>::operator=(const SuperSmartPointer<T>& rhs)
{
if (this == &rhs) { return (*this);
}
finalizePointer();
initPointer(rhs.mPtr);
return (*this);
}
template <typename T> SuperSmartPointer<T>::~SuperSmartPointer()
{
finalizePointer();
}
template<typename T>
void SuperSmartPointer<T>::initPointer(T* inPtr)
{
mPtr = inPtr;
if (sRefCountMap.find(mPtr) == sRefCountMap.end()) {
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Incorporating Techniques and Frameworks
sRefCountMap[mPtr] = 1; } else {
sRefCountMap[mPtr]++;
}
}
template<typename T>
void SuperSmartPointer<T>::finalizePointer()
{
if (sRefCountMap.find(mPtr) == sRefCountMap.end()) { std::cerr << “ERROR: Missing entry in map!” << std::endl; return;
}
sRefCountMap[mPtr]--;
if (sRefCountMap[mPtr] == 0) {
// No more references to this object--delete it and remove from map sRefCountMap.erase(mPtr);
delete mPtr;
}
}
template <typename T>
const T* SuperSmartPointer<T>::operator->() const
{
return (mPtr);
}
template <typename T>
const T& SuperSmartPointer<T>::operator*() const
{
return (*mPtr);
}
template <typename T>
T* SuperSmartPointer<T>::operator->()
{
return (mPtr);
}
template <typename T>
T& SuperSmartPointer<T>::operator*()
{
return (*mPtr);
}
Unit Testing the SuperSmartPointer
The Nothing class defined above can be employed for a simple unit test for SuperSmartPointer. One modification is needed to determine if the test passed or failed. Two static members are added to the Nothing class, which track the number of allocations and the number of deletions. The constructor and destructor modify these values instead of printing a message. If the SuperSmartPointer works, the numbers should always be equivalent when the program terminates.
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Chapter 25
class Nothing
{
public:
Nothing() { sNumAllocations++; } ~Nothing() { sNumDeletions++; }
static int sNumAllocations; static int sNumDeletions;
};
int Nothing::sNumAllocations = 0; int Nothing::sNumDeletions = 0;
Following is the actual test. Note that an extra set of curly braces is used to keep the SuperSmartPointers in their own scope so that they are both allocated and destroyed inside of the function.
void testSuperSmartPointer()
{
Nothing* myNothing = new Nothing();
{
SuperSmartPointer<Nothing> ptr1(myNothing); SuperSmartPointer<Nothing> ptr2(myNothing);
}
if (Nothing::sNumAllocations != Nothing::sNumDeletions) { std::cout << “TEST FAILED: “ << Nothing::sNumAllocations <<
“allocations and “ << Nothing::sNumDeletions <<
“deletions” << std::endl;
} else {
std::cout << “TEST PASSED” << std::endl;
}
}
A successful execution of this test program will result in the following output:
TEST PASSED
You should also write additional tests for the SuperSmartPointer class. For example, you should test the copy construction and operator= functionality.
Enhancing This Implementation
The static reference count map provides the SuperSmartPointer with an additional layer of safety over built-in C++ smart pointers. However, the new implementation is not completely free of problems.
Recall that templates exist on a per-type basis. In other words, if you have some SuperSmartPointers that store pointers to integers and others that store pointers to characters, there are actually two classes generated at compile time: SuperSmartPointer<int> and SuperSmartPointer<char>. Because the reference count map is stored statically within the class, two maps will be generated. In most cases, this won’t cause a problem, but you could cast a char* to an int* resulting in two SuperSmartPointers of
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