【无标题】

项目场景：

例如：项目场景：使用DFA算法使用敏感词库对文本过滤和判断

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问题描述

调用文本过滤和判断接口时，每次去调用，会导致cpu飙升达到96%以上，在高并发情况下，会发送获取结果不一致的问题

public static ConcurrentHashMap sensitiveWordMap;
//初始化敏感词的方法
   public static synchronized void init(Set<String> sensitiveWordSet) {
        initSensitiveWordMap(sensitiveWordSet);
    }
` private static void initSensitiveWordMap(Set<String> sensitiveWordSet) {
        //初始化敏感词容器，减少扩容 *** 作
        sensitiveWordMap = new ConcurrentHashMap(sensitiveWordSet.size());
        String key;
        Map nowMap;
        Map<String, String> newWorMap;
        //迭代sensitiveWordSet
        Iterator<String> iterator = sensitiveWordSet.iterator();
        while (iterator.hasNext()) {
            //关键字
            key = iterator.next();
            nowMap = sensitiveWordMap;
            for (int i = 0; i < key.length(); i++) {
                //转换成char型
                char keyChar = key.charAt(i);
                //库中获取关键字
                Object wordMap = nowMap.get(keyChar);
                //如果存在该key，直接赋值，用于下一个循环获取
                if (wordMap != null) {
                    nowMap = (Map) wordMap;
                } else {
                    //不存在则，则构建一个map，同时将isEnd设置为0，因为他不是最后一个
                    newWorMap = new HashMap<>();
                    //不是最后一个
                    newWorMap.put("isEnd", "0");
                    nowMap.put(keyChar, newWorMap);
                    nowMap = newWorMap;
                }

                if (i == key.length() - 1) {
                    //最后一个
                    nowMap.put("isEnd", "1");
                }
            }
        }
    }

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原因分析：

在本地用虚拟机工具，visualVm，Jconsole查看内存情况，发现内存的堆达到了3G，而且是折线形式，一会高一会低，一直GC，GC回收不过来

   sensitiveWordMap = new ConcurrentHashMap(sensitiveWordSet.size());

这里会频繁的创建ConcurrentHashMap对象，一直创建又回收

解决方案：

在项目启动的时候就初始化，存入本地缓存，将sensitiveWordMap 敏感词库也存入本地缓存，后面再方法调用初始化，直接拿本地缓存

//在启动的时候初始化，实现启动监听
public class AsynInitWordBiz implements ApplicationListener<ApplicationReadyEvent> {
    //启动时，初始化默认的敏感词数据
    @Override
    public void onApplicationEvent(ApplicationReadyEvent applicationReadyEvent) {
           //拿到枚举数组
        SensitiveEnum[] sensitiveEnums = SensitiveEnum.values();
        for (SensitiveEnum sensitiveEnum : sensitiveEnums) {
            SensitiveWordInitRequest sensitiveWordInitRequest = new SensitiveWordInitRequest();
            sensitiveWordInitRequest.setType(sensitiveEnum.getType());
            initMap(sensitiveWordInitRequest);

            log.info("启动时，预热类型为{}的敏感词词典", sensitiveEnum.getType());
        }


    }
}
//初始化的方法
 public void initMap(SensitiveWordInitRequest sensitiveWordInitRequest) {
 Set<String> sensitiveWords = findAllWordsResponse.getSensitiveWords();
  SensitiveWordUtil.init(sensitiveWords);
  //存入本地缓存
  CacheUtil.putCache(RiskContant.getRiskKey(sensitiveWordInitRequest.getType()), SensitiveWordUtil.sensitiveWordMap);
  }
  //工具类重新初始化方法
    public static synchronized void init(ConcurrentHashMap map) {
       sensitiveWordMap=map;
    }
    /在接口调用的时候，从缓存去取,再初始化
     ConcurrentHashMap concurrentHashMap = (ConcurrentHashMap) CacheUtil.getCache(RiskContant.getRiskKey(sensitiveWordFindAllWordsRequest.getType()));
            SensitiveWordUtil.init(concurrentHashMap);