# 客戶端命令方式配置和查看內(nèi)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"

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


# 修改內(nèi)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);

  /* Remove the size of slaves output buffers and AOF buffer from the count of used memory.*/
  // 計算出 Redis 目前占用的內(nèi)存總數(shù)，但有兩個方面的內(nèi)存不會計算在內(nèi)：
  // 1）從服務器的輸出緩沖區(qū)的內(nèi)存
  // 2）AOF 緩沖區(qū)的內(nèi)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();
  }

  /* Check if we are over the memory limit. */
  // 如果目前使用的內(nèi)存大小比設置的 maxmemory 要小，那么無須執(zhí)行進一步操作
  if (mem_used <= server.maxmemory) return REDIS_OK;

  // 如果占用內(nèi)存比 maxmemory 要大，但是 maxmemory 策略為不淘汰，那么直接返回
  if (server.maxmemory_policy == REDIS_MAXMEMORY_NO_EVICTION)
    return REDIS_ERR; /* We need to free memory, but policy forbids. */

  /* Compute how much memory we need to free. */
  // 計算需要釋放多少字節(jié)的內(nèi)存
  mem_tofree = mem_used - server.maxmemory;

  // 初始化已釋放內(nèi)存的字節(jié)數(shù)為 0
  mem_freed = 0;

  // 根據(jù) maxmemory 策略，
  // 遍歷字典，釋放內(nèi)存并記錄被釋放內(nèi)存的字節(jié)數(shù)
  while (mem_freed < mem_tofree) {
    int j, k, keys_freed = 0;

    // 遍歷所有字典
    for (j = 0; j < server.dbnum; j++) {
      long bestval = 0; /* just to prevent warning */
      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 
        // 那么淘汰的目標為所有數(shù)據(jù)庫鍵
        dict = server.db[j].dict;
      } else {
        // 如果策略是 volatile-lru 、 volatile-random 或者 volatile-ttl 
        // 那么淘汰的目標為帶過期時間的數(shù)據(jù)庫鍵
        dict = server.db[j].expires;
      }

      // 跳過空字典
      if (dictSize(dict) == 0) continue;

      /* volatile-random and allkeys-random policy */
      // 如果使用的是隨機策略，那么從目標字典中隨機選出鍵
      if (server.maxmemory_policy == REDIS_MAXMEMORY_ALLKEYS_RANDOM ||
        server.maxmemory_policy == REDIS_MAXMEMORY_VOLATILE_RANDOM)
      {
        de = dictGetRandomKey(dict);
        bestkey = dictGetKey(de);
      }

      /* volatile-lru and allkeys-lru policy */
      // 如果使用的是 LRU 策略，
      // 那么從一集 sample 鍵中選出 IDLE 時間最長的那個鍵
      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);
          /* Go backward from best to worst element to evict. */
          for (k = REDIS_EVICTION_POOL_SIZE-1; k >= 0; k--) {
            if (pool[k].key == NULL) continue;
            de = dictFind(dict,pool[k].key);

            /* Remove the entry from the pool. */
            sdsfree(pool[k].key);
            /* Shift all elements on its right to left. */
            memmove(pool+k,pool+k+1,
              sizeof(pool[0])*(REDIS_EVICTION_POOL_SIZE-k-1));
            /* Clear the element on the right which is empty since we shifted one position to the left.  */
            pool[REDIS_EVICTION_POOL_SIZE-1].key = NULL;
            pool[REDIS_EVICTION_POOL_SIZE-1].idle = 0;

            /* If the key exists, is our pick. Otherwise it is a ghost and we need to try the next element. */
            if (de) {
              bestkey = dictGetKey(de);
              break;
            } else {
              /* Ghost... */
              continue;
            }
          }
        }
      }

      /* volatile-ttl */
      // 策略為 volatile-ttl ，從一集 sample 鍵中選出過期時間距離當前時間最接近的鍵
      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);

          /* Expire sooner (minor expire unix timestamp) is better candidate for deletion */
          if (bestkey == NULL || thisval < bestval) {
            bestkey = thiskey;
            bestval = thisval;
          }
        }
      }

      /* Finally remove the selected key. */
      // 刪除被選中的鍵
      if (bestkey) {
        long long delta;

        robj *keyobj = createStringObject(bestkey,sdslen(bestkey));
        propagateExpire(db,keyobj);
        // 計算刪除鍵所釋放的內(nèi)存數(shù)量
        delta = (long long) zmalloc_used_memory();
        dbDelete(db,keyobj);
        delta -= (long long) zmalloc_used_memory();
        mem_freed += delta;
        
        // 對淘汰鍵的計數(shù)器增一
        server.stat_evictedkeys++;

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

        /* When the memory to free starts to be big enough, we may */
        /* start spending so much time here that is impossible to */
        /* deliver data to the slaves fast enough, so we force the */
        /* transmission here inside the loop. */
        if (slaves) flushSlavesOutputBuffers();
      }
    }

    if (!keys_freed) return REDIS_ERR; /* nothing to free... */
  }

  return REDIS_OK;
}

/* Redis maxmemory strategies */
 #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秒后過期
expire key seconds
# pexpire: t毫秒后過期
pexpire key millseconds
# expireat: 到達具體的時間戳時過期,精確到秒
expireat key timestamp
# pexpireat: 到達具體的時間戳時過期，精確到毫秒
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);
}

/* This is the generic command implementation for EXPIRE, PEXPIRE, EXPIREAT
* and PEXPIREAT. Because the commad second argument may be relative or absolute
* the "basetime" argument is used to signal what the base time is (either 0
* for *AT variants of the command, or the current time for relative expires).
*/
void expireGenericCommand(redisClient *c, long long basetime, int unit) {
  ...
  /* unix time in milliseconds when the key will expire. */
  long long when; 
  ...
  //如果是秒轉(zhuǎn)換為毫秒
  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