com.github.yuyenews.concurrent.processing.collection.ConcurrentCollectionAsync Maven / Gradle / Ivy
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package com.github.yuyenews.concurrent.processing.collection;
import java.util.Collection;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
/**
* 并发处理Collection里的元素(异步)
*/
public class ConcurrentCollectionAsync {
/**
* 异步执行任务的线程池
*/
private ThreadPoolExecutor poolExecutor;
public ConcurrentCollectionAsync(int corePoolSize,
int maximumPoolSize,
long keepAliveTime,
TimeUnit unit,
ThreadFactory threadFactory) {
poolExecutor = new ThreadPoolExecutor(corePoolSize,
maximumPoolSize,
keepAliveTime,
unit,
new LinkedBlockingQueue<>(),
threadFactory);
}
public ConcurrentCollectionAsync(int corePoolSize,
int maximumPoolSize,
long keepAliveTime,
TimeUnit unit) {
poolExecutor = new ThreadPoolExecutor(corePoolSize,
maximumPoolSize,
keepAliveTime,
unit,
new LinkedBlockingQueue<>());
}
/**
* 并发执行器
*/
private ConcurrentCollectionSync concurrentCollectionSync = new ConcurrentCollectionSync();
/**
* 将一个Collection分成若干组,排队执行,每组内部并发执行
* 异步执行
* 默认分成10组,超时时间10分钟
*
* @param dataList 数据集
* @param concurrentCollectionRunner 执行器
* @param
*/
public ThreadPoolExecutor asyncRunner(Collection dataList,
ConcurrentCollectionRunner concurrentCollectionRunner) {
return asyncRunner(dataList, concurrentCollectionRunner, 10, 10, TimeUnit.MINUTES);
}
/**
* 将一个Collection分成若干组,排队执行,每组内部并发执行
* 异步执行
* 默认超时时间10分钟
*
* @param dataList 数据集
* @param concurrentCollectionRunner 执行器
* @param
*/
public ThreadPoolExecutor asyncRunner(Collection dataList,
ConcurrentCollectionRunner concurrentCollectionRunner,
int groupSize) {
return asyncRunner(dataList, concurrentCollectionRunner, groupSize, 10, TimeUnit.MINUTES);
}
/**
* 将一个Collection分成若干组,每一组分别用一个线程执行
* 异步执行
* 默认分成10组,超时时间10分钟
*
* @param dataList 数据集
* @param concurrentCollectionGroupRunner 执行器
* @param
*/
public ThreadPoolExecutor asyncGroupRunner(Collection dataList,
ConcurrentCollectionGroupRunner concurrentCollectionGroupRunner) {
return asyncGroupRunner(dataList, concurrentCollectionGroupRunner, 10, 10, TimeUnit.MINUTES);
}
/**
* 将一个Collection分成若干组,每一组分别用一个线程执行
* 异步执行
* 默超时时间10分钟
*
* @param dataList 数据集
* @param concurrentCollectionGroupRunner 执行器
* @param
*/
public ThreadPoolExecutor asyncGroupRunner(Collection dataList,
ConcurrentCollectionGroupRunner concurrentCollectionGroupRunner,
int groupSize) {
return asyncGroupRunner(dataList, concurrentCollectionGroupRunner, groupSize, 10, TimeUnit.MINUTES);
}
/**
* 将一个Collection分成若干组,排队执行,每组内部并发执行
* 异步执行
*
* @param dataList 数据集
* @param concurrentCollectionRunner 执行器
* @param groupSize 每组大小,这个大小就决定了会同时开几个线程
* @param timeout 每一组的超时时间,单位由unit参数设置
* @param unit 超时时间单位
* @param
*/
public ThreadPoolExecutor asyncRunner(Collection dataList,
ConcurrentCollectionRunner concurrentCollectionRunner,
int groupSize,
long timeout,
TimeUnit unit) {
poolExecutor.submit(() -> {
concurrentCollectionSync.syncRunner(dataList, concurrentCollectionRunner, groupSize, timeout, unit);
});
return poolExecutor;
}
/**
* 将一个Collection分成若干组,每一组分别用一个线程执行
* 异步执行
*
* @param dataList 数据集
* @param concurrentCollectionGroupRunner 执行器
* @param groupSize 每组多少条,它关系到能分成多少组,而组数就决定了会同时开几个线程
* @param timeout 每一组的超时时间,单位由unit参数设置
* @param unit 超时时间单位
* @param
*/
public ThreadPoolExecutor asyncGroupRunner(Collection dataList,
ConcurrentCollectionGroupRunner concurrentCollectionGroupRunner,
int groupSize,
long timeout,
TimeUnit unit) {
poolExecutor.submit(() -> {
concurrentCollectionSync.syncGroupRunner(dataList, concurrentCollectionGroupRunner, groupSize, timeout, unit);
});
return poolExecutor;
}
/**
* 获取线程池
*
* @return
*/
public ThreadPoolExecutor getPoolExecutor() {
return poolExecutor;
}
/**
* 关闭线程池
*/
public void shutdown() {
poolExecutor.shutdown();
}
/**
* 立刻关闭线程池
*/
public void shutdownNow() {
poolExecutor.shutdownNow();
}
}
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