beginner
-
Create a thread pool: Use the
Executors
factory method to create a thread pool, specify the number of core threads and the maximum number of threads. -
Submit the task: Use the
execute()
method to submit the task to the thread pool. A task can be an implementation of theRunnable
orCallable
interface. -
Close the thread pool: Use the
shutdown()
andaw<strong class="keylink">ai</strong>tTerminat<strong class="keylink">io</strong>n()
methods Close the thread pool and wait for all tasks to complete.
intermediate
-
Thread pool type: Select different thread pool types according to your needs, such as:
- FixedThreadPool: The number of core threads and the maximum number of threads are the same, suitable for processing a fixed number of tasks.
- CachedThreadPool: The number of threads is not limited and is suitable for processing short-term tasks.
- ScheduledThreadPool: Supports scheduled and periodic tasks.
-
Thread pool features: Configure thread pool features to meet specific needs, such as:
- Core thread keep-alive time:Controls the time the core thread remains active when there are no tasks.
- Rejection policy: Specify how to handle new tasks when the thread pool is saturated.
-
Monitor the thread pool: Use
ThreadPoolExecutor
to obtain thread pool statistics, such as the number of active threads and task queue length.
advanced
- Custom thread factory: Create your own thread factory to control the thread creation process.
- Custom rejection policy: Implement your own rejection policy to specify how to handle new tasks when the thread pool is saturated.
-
Extended thread pool: Extend the functionality of the thread pool by inheriting
ThreadPoolExecutor
and overriding its methods. -
Thread pool best practices: Follow best practices to optimize thread pool performance, such as:
- Select the appropriate thread pool type and characteristics.
- Limit task submission rate to avoid saturation.
- Monitor the thread pool and adjust the configuration as needed.
expert
- Parallel computing: Use the thread pool for parallel computing to improve task execution speed.
- Non-blocking I/O: Combined with non-blocking I/O technology to create a responsive and efficient thread pool.
- Microservice architecture: Use thread pool to manage service threads in microservice environment.
- Containerization: Optimize thread pool configuration to improve resource utilization in containerizationenvironments.
in conclusion Mastering Java thread pools takes time and practice. By learning step by step, you can grow from novice to expert, effectively using thread pools to manage multithreadingprogramming and improve application performance.
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