package com.xxl.job.admin.core.route.strategy;
import com.xxl.job.admin.core.route.ExecutorRouter;
import com.xxl.job.core.biz.model.ReturnT;
import com.xxl.job.core.biz.model.TriggerParam;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
/**
* 单个JOB对应的每个执行器,最久为使用的优先被选举
* a、LFU(Least Frequently Used):最不经常使用,频率/次数
* b(*)、LRU(Least Recently Used):最近最久未使用,时间
*
* Created by xuxueli on 17/3/10.
*/
public class ExecutorRouteLRU extends ExecutorRouter {
private static ConcurrentMap> jobLRUMap = new ConcurrentHashMap>();
private static long CACHE_VALID_TIME = 0;
public String route(int jobId, List addressList) {
// cache clear
if (System.currentTimeMillis() > CACHE_VALID_TIME) {
jobLRUMap.clear();
CACHE_VALID_TIME = System.currentTimeMillis() + 1000 * 60 * 60 * 24;
}
// init lru
LinkedHashMap lruItem = jobLRUMap.get(jobId);
if (lruItem == null) {
/**
* LinkedHashMap
* a、accessOrder:true=访问顺序排序(get/put时排序);false=插入顺序排期;
* b、removeEldestEntry:新增元素时将会调用,返回true时会删除最老元素;可封装LinkedHashMap并重写该方法,比如定义最大容量,超出是返回true即可实现固定长度的LRU算法;
*/
lruItem = new LinkedHashMap(16, 0.75f, true);
jobLRUMap.putIfAbsent(jobId, lruItem);
}
// put new
for (String address : addressList) {
if (!lruItem.containsKey(address)) {
lruItem.put(address, address);
}
}
// remove old
List delKeys = new ArrayList<>();
for (String existKey : lruItem.keySet()) {
if (!addressList.contains(existKey)) {
delKeys.add(existKey);
}
}
if (delKeys.size() > 0) {
for (String delKey : delKeys) {
lruItem.remove(delKey);
}
}
// load
String eldestKey = lruItem.entrySet().iterator().next().getKey();
String eldestValue = lruItem.get(eldestKey);
return eldestValue;
}
@Override
public ReturnT route(TriggerParam triggerParam, List addressList) {
String address = route(triggerParam.getJobId(), addressList);
return new ReturnT(address);
}
}