Helper for multithreaded programming
ThreadWeaver is a helper for multithreaded programming. It uses a job-based interface to queue tasks and execute them in an efficient way.
You simply divide the workload into jobs, state the dependencies between the jobs and ThreadWeaver will work out the most efficient way of dividing the work between threads within a set of resource limits.
If you are using CMake, you need to have
(or similar) in your CMakeLists.txt file, and you need to link to KF5::ThreadWeaver.
ThreadWeaver is a Job queue. It executes jobs in threads it internally manages. The minimum and maximum number of threads provided by a Weaver is set by the user. Jobs are regular QObjects, which allows users to connect to the
done() signal to be notified when the Job has been executed. The Weaver class provides objects that handle a number of threads called the inventory. Users usually acquire a reference to a WeaverInterface object.
Jobs may depend on other jobs. A job will only execute if all jobs it depends on are already finished. In this, dependencies reorder job execution. If no dependencies are declared, jobs are executed in queueing order. Multiple dependencies are possible, which allows the creation of complex flow graphs that are automatically executed by the Weaver. It is important, though, to avoid circular dependencies. Two jobs that depend on each other in both directions will simply never be executed, since the dependencies will never resolve.
Threads are created on demand and do not exit until the containing weaver is deleted. Threads have an eager policy in trying to execute jobs out of the queue. The managing Weaver blocks them if no jobs are available.
WeaverObservers are used to receive more informative events about the thread states and job execution. They can be used to provide progress or debugging information or to implement GUIs to show the thread activity. Observers can be attached to Weavers and will disconnect automatically when they are deleted.
In general, jobs are executed in the order they are queued, if they have no unresolved dependencies. This behaviour can be used to balance I/O, network and CPU load. The SMIV example shows how this can be done.
To notify the application's GUI of progress or other events, it may be desirable to emit signals from the Job objects that can be connected to the main thread. Since the job will be executed in another thread, such signals are delivered asynchronously.
The Job class in the ThreadWeaver library itself contains such a helper class that can be used as a reference for this approach.