diff options
Diffstat (limited to 'src/corelib/doc/src/threads-basics.qdoc')
| -rw-r--r-- | src/corelib/doc/src/threads-basics.qdoc | 365 |
1 files changed, 0 insertions, 365 deletions
diff --git a/src/corelib/doc/src/threads-basics.qdoc b/src/corelib/doc/src/threads-basics.qdoc deleted file mode 100644 index 4f381421b4..0000000000 --- a/src/corelib/doc/src/threads-basics.qdoc +++ /dev/null @@ -1,365 +0,0 @@ -/**************************************************************************** -** -** Copyright (C) 2013 Digia Plc and/or its subsidiary(-ies). -** Contact: http://www.qt-project.org/legal -** -** This file is part of the documentation of the Qt Toolkit. -** -** $QT_BEGIN_LICENSE:FDL$ -** Commercial License Usage -** Licensees holding valid commercial Qt licenses may use this file in -** accordance with the commercial license agreement provided with the -** Software or, alternatively, in accordance with the terms contained in -** a written agreement between you and Digia. For licensing terms and -** conditions see http://qt.digia.com/licensing. For further information -** use the contact form at http://qt.digia.com/contact-us. -** -** GNU Free Documentation License Usage -** Alternatively, this file may be used under the terms of the GNU Free -** Documentation License version 1.3 as published by the Free Software -** Foundation and appearing in the file included in the packaging of -** this file. Please review the following information to ensure -** the GNU Free Documentation License version 1.3 requirements -** will be met: http://www.gnu.org/copyleft/fdl.html. -** $QT_END_LICENSE$ -** -****************************************************************************/ - -/*! - \page thread-basics.html - \ingroup tutorials - \startpage {index.html}{Qt Reference Documentation} - - \title Threading Basics - \brief An introduction to threads - - \section1 What Are Threads? - - Threads are about doing things in parallel, just like processes. So how do - threads differ from processes? While you are making calculations on a - spreadsheet, there may also be a media player running on the same desktop - playing your favorite song. Here is an example of two processes working in - parallel: one running the spreadsheet program; one running a media player. - Multitasking is a well known term for this. A closer look at the media - player reveals that there are again things going on in parallel within one - single process. While the media player is sending music to the audio driver, - the user interface with all its bells and whistles is being constantly - updated. This is what threads are for -- concurrency within one single - process. - - So how is concurrency implemented? Parallel work on single core CPUs is an - illusion which is somewhat similar to the illusion of moving images in - cinema. - For processes, the illusion is produced by interrupting the processor's - work on one process after a very short time. Then the processor moves on to - the next process. In order to switch between processes, the current program - counter is saved and the next processor's program counter is loaded. This - is not sufficient because the same needs to be done with registers and - certain architecture and OS specific data. - - Just as one CPU can power two or more processes, it is also possible to let - the CPU run on two different code segments of one single process. When a - process starts, it always executes one code segment and therefore the - process is said to have one thread. However, the program may decide to - start a second thread. Then, two different code sequences are processed - simultaneously inside one process. Concurrency is achieved on single core - CPUs by repeatedly saving program counters and registers then loading the - next thread's program counters and registers. No cooperation from the - program is required to cycle between the active threads. A thread may be in - any state when the switch to the next thread occurs. - - The current trend in CPU design is to have several cores. A typical - single-threaded application can make use of only one core. However, a - program with multiple threads can be assigned to multiple cores, making - things happen in a truly concurrent way. As a result, distributing work - to more than one thread can make a program run much faster on multicore - CPUs because additional cores can be used. - - \section2 GUI Thread and Worker Thread - - As mentioned, each program has one thread when it is started. This thread - is called the "main thread" (also known as the "GUI thread" in Qt - applications). The Qt GUI must run in this thread. All widgets and several - related classes, for example QPixmap, don't work in secondary threads. - A secondary thread is commonly referred to as a "worker thread" because it - is used to offload processing work from the main thread. - - \section2 Simultaneous Access to Data - - Each thread has its own stack, which means each thread has its own call - history and local variables. Unlike processes, threads share the same - address space. The following diagram shows how the building blocks of - threads are located in memory. Program counter and registers of inactive - threads are typically kept in kernel space. There is a shared copy of the - code and a separate stack for each thread. - - \image threadvisual-example.png "Thread visualization" - - If two threads have a pointer to the same object, it is possible that both - threads will access that object at the same time and this can potentially - destroy the object's integrity. It's easy to imagine the many things that - can go wrong when two methods of the same object are executed - simultaneously. - - Sometimes it is necessary to access one object from different threads; - for example, when objects living in different threads need to communicate. - Since threads use the same address space, it is easier and faster for - threads to exchange data than it is for processes. Data does not have to be - serialized and copied. Passing pointers is possible, but there must be a - strict coordination of what thread touches which object. Simultaneous - execution of operations on one object must be prevented. There are several - ways of achieving this and some of them are described below. - - So what can be done safely? All objects created in a thread can be used - safely within that thread provided that other threads don't have references - to them and objects don't have implicit coupling with other threads. Such - implicit coupling may happen when data is shared between instances as with - static members, singletons or global data. Familiarize yourself with the - concept of \l{Reentrancy and Thread-Safety}{thread safe and reentrant} - classes and functions. - - \section1 Using Threads - - There are basically two use cases for threads: - - \list - \li Make processing faster by making use of multicore processors. - \li Keep the GUI thread or other time critical threads responsive by - offloading long lasting processing or blocking calls to other threads. - \endlist - - \section2 When to Use Alternatives to Threads - - Developers need to be very careful with threads. It is easy to start other - threads, but very hard to ensure that all shared data remains consistent. - Problems are often hard to find because they may only show up once in a - while or only on specific hardware configurations. Before creating threads - to solve certain problems, possible alternatives should be considered. - - \table - \header - \li Alternative - \li Comment - \row - \li QEventLoop::processEvents() - \li Calling QEventLoop::processEvents() repeatedly during a - time-consuming calculation prevents GUI blocking. However, this - solution doesn't scale well because the call to processEvents() may - occur too often, or not often enough, depending on hardware. - \row - \li QTimer - \li Background processing can sometimes be done conveniently using a - timer to schedule execution of a slot at some point in the future. - A timer with an interval of 0 will time out as soon as there are no - more events to process. - \row - \li QSocketNotifier QNetworkAccessManager QIODevice::readyRead() - \li This is an alternative to having one or multiple threads, each with - a blocking read on a slow network connection. As long as the - calculation in response to a chunk of network data can be executed - quickly, this reactive design is better than synchronous waiting in - threads. Reactive design is less error prone and energy efficient - than threading. In many cases there are also performance benefits. - \endtable - - In general, it is recommended to only use safe and tested paths and to - avoid introducing ad-hoc threading concepts. The QtConcurrent module provides an easy - interface for distributing work to all of the processor's cores. The - threading code is completely hidden in the QtConcurrent framework, so you - don't have to take care of the details. However, QtConcurrent can't be used - when communication with the running thread is needed, and it shouldn't be - used to handle blocking operations. - - \section2 Which Qt Thread Technology Should You Use? - - See the \l{Multithreading Technologies in Qt} page for an introduction to the - different approaches to multithreading to Qt, and for guidelines on how to - choose among them. - - - \section1 Qt Thread Basics - - The following sections describe how QObjects interact with threads, how - programs can safely access data from multiple threads, and how asynchronous - execution produces results without blocking a thread. - - \section2 QObject and Threads - - As mentioned above, developers must always be careful when calling objects' - methods from other threads. \l{QObject#Thread Affinity}{Thread affinity} - does not change this situation. - Qt documentation marks several methods as thread-safe. - \l{QCoreApplication::}{postEvent()} is a noteworthy example. A thread-safe - method may be called from different threads simultaneously. - - In cases where there is usually no concurrent access to methods, calling - non-thread-safe methods of objects in other threads may work thousands - of times before a concurrent access occurs, causing unexpected behavior. - Writing test code does not entirely ensure thread correctness, but it is - still important. - On Linux, Valgrind and Helgrind can help detect threading errors. - - \section2 Protecting the Integrity of Data - - When writing a multithread application, extra care must be taken to avoid - data corruption. See \l{Synchronizing Threads} for a discussion on how to - use threads safely. - - \section2 Dealing with Asynchronous Execution - - One way to obtain a worker thread's result is by waiting for the thread - to terminate. In many cases, however, a blocking wait isn't acceptable. The - alternative to a blocking wait are asynchronous result deliveries with - either posted events or queued signals and slots. This generates a certain - overhead because an operation's result does not appear on the next source - line, but in a slot located somewhere else in the source file. Qt - developers are used to working with this kind of asynchronous behavior - because it is much similar to the kind of event-driven programming used in - GUI applications. - - \section1 Examples - - This tutorial comes with examples for Qt's three basic ways of working with - threads. Two more examples show how to communicate with a running thread - and how a QObject can be placed in another thread, providing service to the - main thread. - - \list - \li Using QThread as shown \l{Qt thread basics}{above} - \li \l{Example 1: Using the Thread Pool}{Using the global QThreadPool} - \li \l{Example 2: Using QtConcurrent}{Using QtConcurrent} - \li \l{Example 3: Clock}{Communication with the GUI thread} - \li \l{Example 4: A Permanent Thread}{A permanent QObject in another thread - provides service to the main thread} - \endlist - - The following examples can all be compiled and run independently. The source can - be found in the examples directory: examples/tutorials/threads/ - - \section2 Example 1: Using the Thread Pool - - Creating and destroying threads frequently can be expensive. To avoid the - cost of thread creation, a thread pool can be used. A thread pool is a - place where threads can be parked and fetched. We can write the same - "hello thread" program as \l{Qt Thread Basics}{above} using the global - thread pool. We derive a class from QRunnable. The code we want to run in - another thread needs to be placed in the reimplemented QRunnable::run() - method. - - \snippet ../widgets/tutorials/threads/hellothreadpool/hellothreadpool.cpp 1 - - We instantiate Work in main(), locate the global thread pool and use the - QThreadPool::start() method. Now the thread pool runs our worker in another - thread. Using the thread pool has a performance advantage because threads - are not destroyed after they have finished running. They are kept in a pool - and wait to be used again later. - - \section2 Example 2: Using QtConcurrent - - \snippet ../widgets/tutorials/threads/helloconcurrent/helloconcurrent.cpp 1 - - We write a global function hello() to implement the work. QtConcurrent::run() - is used to run the function in another thread. The result is a QFuture. - QFuture provides a method called \l{QFuture::}{waitForFinished()}, which - blocks until the calculation is completed. The real power of QtConcurrent - becomes visible when data can be made available in a container. QtConcurrent - provides several functions that are able to process itemized data on all - available cores simultaneously. The use of QtConcurrent is very similar to - applying an STL algorithm to an STL container. - \l{examples-threadandconcurrent.html}{QtConcurrent Map} is a very short and - clear example about how a container of images can be scaled on all available - cores. The image scaling example uses the blocking variants of the functions - used. For every blocking function there is also a non-blocking, asynchronous - counterpart. Getting results asynchronously is implemented with QFuture and - QFutureWatcher. - - \section2 Example 3: Clock - - \image thread_clock.png "clock" - - We want to produce a clock application. The application has a GUI and a - worker thread. The worker thread checks every 10 milliseconds what time it - is. If the formatted time has changed, the result will be sent to the GUI - thread where it is displayed. - - Of course, this is an overly complicated way of designing a clock and, - actually, a separate thread is unnecessary. We would be better off placing - the timer in the main thread because the calculation made in the timer slot - is very short-lived. This example is purely for instructional use and shows - how to communicate from a worker thread to a GUI thread. Note that - communication in this direction is easy. We only need to add a signal - to QThread and make a queued signal/slot connection to the main thread. - Communication from the GUI to the worker thread is shown in the next - example. - - \snippet ../widgets/tutorials/threads/clock/main.cpp 1 - - We've connected the \c clockThread with the label. The connection must be a - queued signal-slot connection because we want to put the call in the event - loop. - - \snippet ../widgets/tutorials/threads/clock/clockthread.h 1 - - We have derived a class from QThread and declared the \c sendTime() signal. - - \snippet ../widgets/tutorials/threads/clock/clockthread.cpp 1 - - The trickiest part of this example is that the timer is connected to its - slot via a direct connection. A default connection would produce a queued - signal-slot connection because the connected objects live in different - threads; remember that QThread does not live in the thread it creates. - - Still it is safe to access ClockThread::timerHit() from the worker thread - because ClockThread::timerHit() is private and only touches local variables - and a private member that isn't touched by public methods. - QDateTime::currentDateTime() isn't marked as thread-safe in Qt - documentation, however we can get away with using it in this small - example because we know that the QDateTime::currentDateTime() static - method isn't used in any other threads. - - \section2 Example 4: A Permanent Thread - - This example shows how it is possible to have a QObject in a worker thread - that accepts requests from the GUI thread, does polling using a timer and - continuously reports results back to the GUI thread. The actual work - including the polling must be implemented in a class derived from QObject. - We have called this class \c WorkerObject in the code shown below. The - thread-specific code is hidden in a class called \c Thread, derived from - QThread. - \c Thread has two additional public members. The \c launchWorker() member - takes the worker object and moves it to another thread with a started event - loop. - The call blocks for a very short moment until the thread creation operation - is completed, allowing the worker object to be used again on the next line. - The \c Thread class's code is short but somewhat involved, so we only show - how to use the class. - - \snippet ../widgets/tutorials/threads/movedobject/main.cpp 1 - - QMetaObject::invokeMethod() calls a slot via the event loop. The worker - object's methods should not be called directly after the object has been - moved to another thread. We let the worker thread do some work and polling, - and use a timer to shut the application down after 3 seconds. Shutting the - worker down needs some care. We call \c{Thread::stop()} to exit the event - loop. We wait for the thread to terminate and, after this has occurred, we - delete the worker. - - \section1 Digging Deeper - - Threading is a very complicated subject. Qt offers more classes for - threading than we have presented in this tutorial. The following materials - can help you go into the subject in more depth: - - \list - \li Good video tutorials about threads with Qt can be found in the material - from the \l{Training Day at Qt Developer Days 2009}. - \li The \l{Thread Support in Qt} document is a good starting point into - the reference documentation. - \li Qt comes with several additional examples for - \l{Threading and Concurrent Programming Examples}{QThread and QtConcurrent}. - \li Several good books describe how to work with Qt threads. The most - extensive coverage can be found in \e{Advanced Qt Programming} by Mark - Summerfield, Prentice Hall - roughly 70 of 500 pages cover QThread and - QtConcurrent. - \endlist -*/ |