If the set command is set, but when setting the expiration time, the network jitters If the setting is not successful due to other reasons, a dead counter (similar to a deadlock) will occur;
Redis Lua is a good solution. Use a script to make set The command and expire command are executed together with Redis without being interfered with, which guarantees atomic operations to a large extent;
Why is it said that atomic operations are guaranteed to a large extent but not completely? Because problems may occur when Redis is executed internally, but the probability is very small; even for small-probability events, there are corresponding solutions, such as solving deadlocks. An idea worth referring to: Preventing deadlocks will store the lock value as a time Stamp, even if the expiration time is not set, when judging whether to lock, you can add it to see if the value exceeds a set time from now. If it exceeds, delete it and reset the lock.
1. Implementation of Redis Lua lock
package han.zhang.utils; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.core.script.DigestUtils; import org.springframework.data.redis.core.script.RedisScript; import java.util.Collections; import java.util.UUID; public class RedisLock { private static final LogUtils logger = LogUtils.getLogger(RedisLock.class); private final StringRedisTemplate stringRedisTemplate; private final String lockKey; private final String lockValue; private boolean locked = false; /** * 使用脚本在redis服务器执行这个逻辑可以在一定程度上保证此操作的原子性 * (即不会发生客户端在执行setNX和expire命令之间,发生崩溃或失去与服务器的连接导致expire没有得到执行,发生永久死锁) * <p> * 除非脚本在redis服务器执行时redis服务器发生崩溃,不过此种情况锁也会失效 */ private static final RedisScript<Boolean> SETNX_AND_EXPIRE_SCRIPT; static { StringBuilder sb = new StringBuilder(); sb.append("if (redis.call('setnx', KEYS[1], ARGV[1]) == 1) then\n"); sb.append("\tredis.call('expire', KEYS[1], tonumber(ARGV[2]))\n"); sb.append("\treturn true\n"); sb.append("else\n"); sb.append("\treturn false\n"); sb.append("end"); SETNX_AND_EXPIRE_SCRIPT = new RedisScriptImpl<>(sb.toString(), Boolean.class); } private static final RedisScript<Boolean> DEL_IF_GET_EQUALS; sb.append("if (redis.call('get', KEYS[1]) == ARGV[1]) then\n"); sb.append("\tredis.call('del', KEYS[1])\n"); DEL_IF_GET_EQUALS = new RedisScriptImpl<>(sb.toString(), Boolean.class); public RedisLock(StringRedisTemplate stringRedisTemplate, String lockKey) { this.stringRedisTemplate = stringRedisTemplate; this.lockKey = lockKey; this.lockValue = UUID.randomUUID().toString() + "." + System.currentTimeMillis(); private boolean doTryLock(int lockSeconds) { if (locked) { throw new IllegalStateException("already locked!"); } locked = stringRedisTemplate.execute(SETNX_AND_EXPIRE_SCRIPT, Collections.singletonList(lockKey), lockValue, String.valueOf(lockSeconds)); return locked; * 尝试获得锁,成功返回true,如果失败立即返回false * * @param lockSeconds 加锁的时间(秒),超过这个时间后锁会自动释放 public boolean tryLock(int lockSeconds) { try { return doTryLock(lockSeconds); } catch (Exception e) { logger.error("tryLock Error", e); return false; * 轮询的方式去获得锁,成功返回true,超过轮询次数或异常返回false * @param lockSeconds 加锁的时间(秒),超过这个时间后锁会自动释放 * @param tryIntervalMillis 轮询的时间间隔(毫秒) * @param maxTryCount 最大的轮询次数 public boolean tryLock(final int lockSeconds, final long tryIntervalMillis, final int maxTryCount) { int tryCount = 0; while (true) { if (++tryCount >= maxTryCount) { // 获取锁超时 return false; } try { if (doTryLock(lockSeconds)) { return true; } } catch (Exception e) { logger.error("tryLock Error", e); Thread.sleep(tryIntervalMillis); } catch (InterruptedException e) { logger.error("tryLock interrupted", e); * 解锁操作 public void unlock() { if (!locked) { throw new IllegalStateException("not locked yet!"); locked = false; // 忽略结果 stringRedisTemplate.execute(DEL_IF_GET_EQUALS, Collections.singletonList(lockKey), lockValue); private static class RedisScriptImpl<T> implements RedisScript<T> { private final String script; private final String sha1; private final Class<T> resultType; public RedisScriptImpl(String script, Class<T> resultType) { this.script = script; this.sha1 = DigestUtils.sha1DigestAsHex(script); this.resultType = resultType; @Override public String getSha1() { return sha1; public Class<T> getResultType() { return resultType; public String getScriptAsString() { return script; }
2. Implementation of Redis Lua counter by using lock for reference
(1) Tool class
package han.zhang.utils; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.core.script.DigestUtils; import org.springframework.data.redis.core.script.RedisScript; import java.util.Collections; public class CountUtil { private static final LogUtils logger = LogUtils.getLogger(CountUtil.class); private final StringRedisTemplate stringRedisTemplate; /** * 使用脚本在redis服务器执行这个逻辑可以在一定程度上保证此操作的原子性 * (即不会发生客户端在执行setNX和expire命令之间,发生崩溃或失去与服务器的连接导致expire没有得到执行,发生永久死计数器) * <p> * 除非脚本在redis服务器执行时redis服务器发生崩溃,不过此种情况计数器也会失效 */ private static final RedisScript<Boolean> SET_AND_EXPIRE_SCRIPT; static { StringBuilder sb = new StringBuilder(); sb.append("local visitTimes = redis.call('incr', KEYS[1])\n"); sb.append("if (visitTimes == 1) then\n"); sb.append("\tredis.call('expire', KEYS[1], tonumber(ARGV[1]))\n"); sb.append("\treturn false\n"); sb.append("elseif(visitTimes > tonumber(ARGV[2])) then\n"); sb.append("\treturn true\n"); sb.append("else\n"); sb.append("end"); SET_AND_EXPIRE_SCRIPT = new RedisScriptImpl<>(sb.toString(), Boolean.class); } public CountUtil(StringRedisTemplate stringRedisTemplate) { this.stringRedisTemplate = stringRedisTemplate; public boolean isOverMaxVisitTimes(String key, int seconds, int maxTimes) throws Exception { try { return stringRedisTemplate.execute(SET_AND_EXPIRE_SCRIPT, Collections.singletonList(key), String.valueOf(seconds), String.valueOf(maxTimes)); } catch (Exception e) { logger.error("RedisBusiness>>>isOverMaxVisitTimes; get visit times Exception; key:" + key + "result:" + e.getMessage()); throw new Exception("already Over MaxVisitTimes"); } private static class RedisScriptImpl<T> implements RedisScript<T> { private final String script; private final String sha1; private final Class<T> resultType; public RedisScriptImpl(String script, Class<T> resultType) { this.script = script; this.sha1 = DigestUtils.sha1DigestAsHex(script); this.resultType = resultType; @Override public String getSha1() { return sha1; public Class<T> getResultType() { return resultType; public String getScriptAsString() { return script; }
(2) Call test code
public void run(String... strings) { CountUtil countUtil = new CountUtil(SpringUtils.getStringRedisTemplate()); try { for (int i = 0; i < 10; i++) { boolean overMax = countUtil.isOverMaxVisitTimes("zhanghantest", 600, 2); if (overMax) { System.out.println("超过i:" + i + ":" + overMax); } else { System.out.println("没超过i:" + i + ":" + overMax); } } } catch (Exception e) { logger.error("Exception {}", e.getMessage()); } }
(3) Test result
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