1. frok操作

  2. 进程外开销

  3. AOF追加阻塞

  4. 单机多实例部署


  • 1.同步操作

  • 2.与内存量息息相关:内存越大,消耗时间越长(与机器有关)

  • #上一次执行redis_fork的时间


  • 1.优先使用无立即或高效支持fork操作的虚拟化技术支持

  • 2.控制redis实例最大可用的内存:maxmemory

  • 3.合理配置Linux内存分配策略:vm.overcommit_memory=1

  • 4.降低fork频率:例如放宽AOF重写自动触发机制,不必要的全量设置



  • 开销:RDB和AOF文件生成,属于CPU密集型

  • 优化:不做CUP绑定,不和CPU密集型部署

  • 在配置单机多实例时候,一定要避免大量的AOF重写或RDB的bgsave,保证节省CPU


  • 开销:fork内存开销,copy-on-write

  • 优化:echo nerer>/sys/kernel/mm/transparent_hugepage/enbale


  • 开销:AOF和RDB文件写入,可以结合iostat,istop分析

  • 优化:

  • 1.不和高硬盘负载服务部署在一起:存储服务、消息队列服务
  • 3.根据写入量决定磁盘类型:例如ssd
  • 4.单击多实例持久化文件目录可以考虑分盘



  • redis日志

  • info Persistence

  • Linux:top查看I/O资源使用程度


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