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protocolSession的缓存改为同步caffeine，因为没有IO操作

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三丙
2024-10-09 10:08:32 +08:00
parent a1db728be5
commit c3295ce01c
11 changed files with 75 additions and 59 deletions
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23
jcpp-infrastructure-util/src/main/java/sanbing/jcpp/infrastructure/util/config/ScheduledTaskConfig.java Normal file
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@@ -0,0 +1,23 @@
/**
* 抖音关注：程序员三丙
* 知识星球：https://t.zsxq.com/j9b21
*/
package sanbing.jcpp.infrastructure.util.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.TaskScheduler;
import org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler;
@Configuration
public class ScheduledTaskConfig {
@Bean
public TaskScheduler taskScheduler() {
ThreadPoolTaskScheduler scheduler = new ThreadPoolTaskScheduler();
scheduler.setPoolSize(Runtime.getRuntime().availableProcessors());
scheduler.setThreadNamePrefix("scheduled-task-");
scheduler.initialize();
return scheduler;
}
}

21
jcpp-infrastructure-util/src/main/java/sanbing/jcpp/infrastructure/util/config/ShardingThreadPool.java
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@@ -33,12 +33,12 @@ public class ShardingThreadPool {
@Value("${thread-pool.sharding.hash_function_name:murmur3_128}")
private String hashFunctionName;
@Value("${thread-pool.sharding.parallelism:128}")
@Value("${thread-pool.sharding.parallelism:8}")
private int parallelism;
private HashFunction hashFunction;
private final Map<Integer, ExecutorService> EXECUTOR_SERVICE_MAP = new ConcurrentHashMap<>(128);
private final Map<Integer, ExecutorService> EXECUTOR_SERVICE_MAP = new ConcurrentHashMap<>(8);
@PostConstruct
public void init() {
@@ -59,13 +59,16 @@ public class ShardingThreadPool {
ThreadPoolExecutor threadPoolExecutor = (ThreadPoolExecutor) v;
log.info("分区 {}/{} 的线程池中剩余 {} 条待执行任务,当前正在执行的线程数 {}, 已完成任务 {} / {}",
k,
EXECUTOR_SERVICE_MAP.size(),
threadPoolExecutor.getQueue().size(),
threadPoolExecutor.getActiveCount(),
threadPoolExecutor.getCompletedTaskCount(),
threadPoolExecutor.getTaskCount());
int size = threadPoolExecutor.getQueue().size();
if (size > 1) {
log.info("分区 {} 的线程池中剩余 {} 条待执行任务,当前正在执行的线程数 {}, 已完成任务 {} / {}",
k,
size,
threadPoolExecutor.getActiveCount(),
threadPoolExecutor.getCompletedTaskCount(),
threadPoolExecutor.getTaskCount());
}
});
}