redis cluster模式key的模糊删除-java操作

不管是redis单节点还是redis cluster模式都是不支持模糊删除的。当然你也可以自己去写shell脚本去删除。这里我自己想的一种方式，采用多线程操作集群下redis单节点，countdownlatch统计汇总删除。

上代码：

线程池：

public class ThreadSinleton {private final static Logger LOGGER = LoggerFactory.getLogger(ThreadSinleton.class);private static class SingletonHolder {static ExecutorService es = null;static {es = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());LOGGER.error("线程池初始化完成！！！！");}private static final ThreadSinleton sinleton = new ThreadSinleton();}private ThreadSinleton() {}public static final ThreadSinleton getSinleton() {return SingletonHolder.sinleton;}public static final ExecutorService getExecutorService() {return SingletonHolder.es;}}

执行调用：

public long getKeys(String key,boolean isDel) throws Exception {Long startTime = System.currentTimeMillis();long resSum=0;List<Jedis> jedisList = new ArrayList<Jedis>();// jedis 操作集合for (HostAndPort hostAndport : jedisCluster.getHaps()) {jedisList.add(new Jedis(hostAndport.getHost(), hostAndport.getPort()));}int size =jedisList.size();if (null != jedisList && size > 0) {ScanParams  params = new ScanParams();params.match(key+"*");/**模糊匹配**///首选计算主node数量List<Jedis> masterList = new  ArrayList<Jedis>();for (int i = 0; i < size; i++) {Jedis jedis = null;jedis = jedisList.get(i);if (JedisUtils.isMaster(jedis)) {masterList.add(jedis);}else{/**关掉slave连接 **/jedis.close();}}int masterSize =masterList.size();LOGGER.info("jedis操作实例创建完毕,master数量:" +masterSize);if(null!=masterList&&masterSize>0){CountDownLatch countDownLatch = new CountDownLatch(masterSize);@SuppressWarnings("rawtypes")Future[] future_Arr = new Future[masterSize] ;ExecutorService es =ThreadSinleton.getExecutorService();for (int j =0; j < masterSize; j++) {Jedis jedis = null;Pipeline pipeline=null;jedis = masterList.get(j);future_Arr[j] = es.submit(new CacheBodyThread("子线程"+j, jedis, pipeline, isDel, params, countDownLatch));}try {//LOGGER.info("*******主线程正在汇总************");countDownLatch.await();try {if(null!=future_Arr&&future_Arr.length>0){for (int i = 0; i < future_Arr.length; i++) {resSum+=(long)future_Arr[i].get();}}} catch (InterruptedException e) {e.printStackTrace();LOGGER.error(e.getMessage());} catch (ExecutionException e) {e.printStackTrace();LOGGER.error(e.getMessage());}     //es.shutdown(); 线程池不需关闭LOGGER.info("*******线程池关闭，主线程正在汇总完毕==========,"+resSum);} catch (InterruptedException e) {e.printStackTrace();LOGGER.error(e.getMessage());}}}Long endTime = System.currentTimeMillis();LOGGER.error((true==isDel?"清理":"统计")+"缓存,[执行模糊查找所有键]end,待处理集合数据长度："+resSum+",using time is<耗时>:" + (endTime - startTime)+"ms");return resSum;}

线程（因为这里我们不仅仅要删除，还要知道删除的量，所有用callable）：

public class CacheBodyThread implements Callable<Long> {private final static Logger LOGGER = LoggerFactory.getLogger(CacheBodyThread.class);String threadName;Jedis jedis;Pipeline pipeline;boolean isDel;// isDel 清除 TRUE 统计FALSEScanParams params;CountDownLatch countDownLatch;public CacheBodyThread(String threadName, Jedis jedis, Pipeline pipeline,boolean isDel, ScanParams params, CountDownLatch countDownLatch) {super();this.threadName = threadName;this.jedis = jedis;this.pipeline = pipeline;this.isDel = isDel;this.params = params;this.countDownLatch = countDownLatch;}@SuppressWarnings("deprecation")@Overridepublic Long call() throws Exception {long sum =0;LOGGER.info("【" + threadName + "】线程,统计缓存thread正在执行中========");//List<String> keys = null;//keys = new ArrayList<String>(); // 待处理key集合String scanRet = "0";// 起始游标ScanResult<String> scanResult = null;do {scanResult = jedis.scan(scanRet, params);scanRet = scanResult.getStringCursor();sum += scanResult.getResult().size();if (isDel) { pipeline = jedis.pipelined();// 批量操作for (String key_i : scanResult.getResult()) {pipeline.del(key_i);}pipeline.sync();// 执行}} while (0 != scanResult.getCursor());/** 未来版本此方法会删除 **/if (null != pipeline) {try {pipeline.close();LOGGER.info("pipeline管道连接已关闭===============");} catch (IOException e) {e.printStackTrace();}}if (null != jedis) {jedis.close();// 关闭连接LOGGER.info("jedis连接已关闭===============");}countDownLatch.countDown();LOGGER.info("【" + threadName + "】线程执行完毕========");return sum;}}

thread 配合countdownlatch 有点fork/join的意思，只是这里的fork，我们直接定位到单node上了，也可以直接使用jdk1.7之后的forkjointask配合forkjoinpool处理，原理差不多。