Redis内存淘汰和过期删除策略原理分析

# 客户端命令方式配置和查看内存大小
127.0.0.1:6379> config get maxmemory
"maxmemory"
"0"
127.0.0.1:6379> config set maxmemory 100mb
OK
127.0.0.1:6379> config get maxmemory
"maxmemory"
"104857600"

#通过redis.conf 配置文件配置
127.0.0.1:6379> info
# Server
#...
# 配置文件路径
config_file:/opt/homebrew/etc/redis.conf
#...


# 修改内存大小
> vim /opt/homebrew/etc/redis.conf
############################## MEMORY MANAGEMENT ################################

# Set a memory usage limit to the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
#...
maxmemory 100mb
#...

# 命令行配置方式
127.0.0.1:6379> CONFIG GET maxmemory-policy
"maxmemory-policy"
"noeviction"
127.0.0.1:6379> CONFIG SET maxmemory-policy volatile-lru
OK
127.0.0.1:6379> CONFIG GET maxmemory-policy
"maxmemory-policy"
"volatile-lru"

#redis.conf文件配置方式
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
# is reached. You can select one from the following behaviors:
#
# volatile-lru -> Evict using approximated LRU, only keys with an expire set.
# allkeys-lru -> Evict any key using approximated LRU.
# volatile-lfu -> Evict using approximated LFU, only keys with an expire set.
# allkeys-lfu -> Evict any key using approximated LFU.
# volatile-random -> Remove a random key having an expire set.
# allkeys-random -> Remove a random key, any key.
# volatile-ttl -> Remove the key with the nearest expire time (minor TTL)
# noeviction -> Don't evict anything, just return an error on write operations.
#
# LRU means Least Recently Used
# LFU means Least Frequently Used
#
# Both LRU, LFU and volatile-ttl are implemented using approximated
# randomized algorithms.
# The default is:
# ...
maxmemory-policy noeviction

int freeMemoryIfNeeded(void) {
  size_t mem_used, mem_tofree, mem_freed;
  int slaves = listLength(server.slaves);

  
  // 计算出 Redis 目前占用的内存总数，但有两个方面的内存不会计算在内：
  // 1）从服务器的输出缓冲区的内存
  // 2）AOF 缓冲区的内存
  mem_used = zmalloc_used_memory();
  if (slaves) {
    listIter li;
    listNode *ln;

    listRewind(server.slaves,&li);
    while((ln = listNext(&li))) {
      redisClient *slave = listNodeValue(ln);
      unsigned long obuf_bytes = getClientOutputBufferMemoryUsage(slave);
      if (obuf_bytes > mem_used)
        mem_used = 0;
      else
        mem_used -= obuf_bytes;
    }
  }
  if (server.aof_state != REDIS_AOF_OFF) {
    mem_used -= sdslen(server.aof_buf);
    mem_used -= aofRewriteBufferSize();
  }

  
  // 如果目前使用的内存大小比设置的 maxmemory 要小，那么无须执行进一步操作
  if (mem_used <= server.maxmemory) return REDIS_OK;

  // 如果占用内存比 maxmemory 要大，但是 maxmemory 策略为不淘汰，那么直接返回
  if (server.maxmemory_policy == REDIS_MAXMEMORY_NO_EVICTION)
    return REDIS_ERR; 

  
  // 计算需要释放多少字节的内存
  mem_tofree = mem_used - server.maxmemory;

  // 初始化已释放内存的字节数为 0
  mem_freed = 0;

  // 根据 maxmemory 策略，
  // 遍历字典，释放内存并记录被释放内存的字节数
  while (mem_freed < mem_tofree) {
    int j, k, keys_freed = 0;

    // 遍历所有字典
    for (j = 0; j < server.dbnum; j++) {
      long bestval = 0; 
      sds bestkey = NULL;
      dictEntry *de;
      redisDb *db = server.db+j;
      dict *dict;

      if (server.maxmemory_policy == REDIS_MAXMEMORY_ALLKEYS_LRU ||
        server.maxmemory_policy == REDIS_MAXMEMORY_ALLKEYS_RANDOM)
      {
        // 如果策略是 allkeys-lru 或者 allkeys-random 
        // 那么淘汰的目标为所有数据库键
        dict = server.db[j].dict;
      } else {
        // 如果策略是 volatile-lru 、 volatile-random 或者 volatile-ttl 
        // 那么淘汰的目标为带过期时间的数据库键
        dict = server.db[j].expires;
      }

      // 跳过空字典
      if (dictSize(dict) == 0) continue;

      
      // 如果使用的是随机策略，那么从目标字典中随机选出键
      if (server.maxmemory_policy == REDIS_MAXMEMORY_ALLKEYS_RANDOM ||
        server.maxmemory_policy == REDIS_MAXMEMORY_VOLATILE_RANDOM)
      {
        de = dictGetRandomKey(dict);
        bestkey = dictGetKey(de);
      }

      
      // 如果使用的是 LRU 策略，
      // 那么从一集 sample 键中选出 IDLE 时间最长的那个键
      else if (server.maxmemory_policy == REDIS_MAXMEMORY_ALLKEYS_LRU ||
        server.maxmemory_policy == REDIS_MAXMEMORY_VOLATILE_LRU)
      {
        struct evictionPoolEntry *pool = db->eviction_pool;

        while(bestkey == NULL) {
          evictionPoolPopulate(dict, db->dict, db->eviction_pool);
          
          for (k = REDIS_EVICTION_POOL_SIZE-1; k >= 0; k--) {
            if (pool[k].key == NULL) continue;
            de = dictFind(dict,pool[k].key);

            
            sdsfree(pool[k].key);
            
            memmove(pool+k,pool+k+1,
              sizeof(pool[0])*(REDIS_EVICTION_POOL_SIZE-k-1));
            
            pool[REDIS_EVICTION_POOL_SIZE-1].key = NULL;
            pool[REDIS_EVICTION_POOL_SIZE-1].idle = 0;

            
            if (de) {
              bestkey = dictGetKey(de);
              break;
            } else {
              
              continue;
            }
          }
        }
      }

      
      // 策略为 volatile-ttl ，从一集 sample 键中选出过期时间距离当前时间最接近的键
      else if (server.maxmemory_policy == REDIS_MAXMEMORY_VOLATILE_TTL) {
        for (k = 0; k < server.maxmemory_samples; k++) {
          sds thiskey;
          long thisval;

          de = dictGetRandomKey(dict);
          thiskey = dictGetKey(de);
          thisval = (long) dictGetVal(de);

          
          if (bestkey == NULL || thisval < bestval) {
            bestkey = thiskey;
            bestval = thisval;
          }
        }
      }

      
      // 删除被选中的键
      if (bestkey) {
        long long delta;

        robj *keyobj = createStringObject(bestkey,sdslen(bestkey));
        propagateExpire(db,keyobj);
        // 计算删除键所释放的内存数量
        delta = (long long) zmalloc_used_memory();
        dbDelete(db,keyobj);
        delta -= (long long) zmalloc_used_memory();
        mem_freed += delta;
        
        // 对淘汰键的计数器增一
        server.stat_evictedkeys++;

        notifyKeyspaceEvent(REDIS_NOTIFY_EVICTED, "evicted",
            keyobj, db->id);
        decrRefCount(keyobj);
        keys_freed++;

        
        
        
        
        if (slaves) flushSlavesOutputBuffers();
      }
    }

    if (!keys_freed) return REDIS_ERR; 
  }

  return REDIS_OK;
}

 #define REDIS_MAXMEMORY_VOLATILE_LRU 0
 #define REDIS_MAXMEMORY_VOLATILE_TTL 1
 #define REDIS_MAXMEMORY_VOLATILE_RANDOM 2
 #define REDIS_MAXMEMORY_ALLKEYS_LRU 3
 #define REDIS_MAXMEMORY_ALLKEYS_RANDOM 4
 #define REDIS_MAXMEMORY_NO_EVICTION 5
 #define REDIS_DEFAULT_MAXMEMORY_POLICY REDIS_MAXMEMORY_NO_EVICTION

# The counter decay time is the time, in minutes, that must elapse in order
# for the key counter to be divided by two (or decremented if it has a value
# less <= 10).
#
# The default value for the lfu-decay-time is 1. A special value of 0 means to
# decay the counter every time it happens to be scanned.
#
lfu-decay-time 1

# expire: t秒后过期
expire key seconds
# pexpire: t毫秒后过期
pexpire key millseconds
# expireat: 到达具体的时间戳时过期,精确到秒
expireat key timestamp
# pexpireat: 到达具体的时间戳时过期，精确到毫秒
pexpire key millseconds

//expire命令
void expireCommand(redisClient *c) {
  expireGenericCommand(c,mstime(),UNIT_SECONDS);
}
//expireat命令
void expireatCommand(redisClient *c) {
  expireGenericCommand(c,0,UNIT_SECONDS);
}
//pexpire命令
void pexpireCommand(redisClient *c) {
  expireGenericCommand(c,mstime(),UNIT_MILLISECONDS);
}
//pexpireat命令
void pexpireatCommand(redisClient *c) {
  expireGenericCommand(c,0,UNIT_MILLISECONDS);
}


void expireGenericCommand(redisClient *c, long long basetime, int unit) {
  ...
  
  long long when; 
  ...
  //如果是秒转换为毫秒
  if (unit == UNIT_SECONDS) when *= 1000;
  when += basetime;
  ...
}

# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10