##1 、 ##2 虚拟节点的任务会分别转移到 C 和 A 节点，这样避免⼀个节点承担宕 机节点的所有任务造成剩余节点连续雪崩。 节点恢复。如图 3，节点的虚拟节点重新添加到 Hash 环中， Sharding 规则变更，恢复的节点会 根据新的 Hash 环规则承担其它节点的⼀部分任务。心跳任务⼀旦在节点产生都不会自动消失，这 时需要清理其它节点的多余任务（即重新分配给复苏节点的任务），给其它节点减负（这⼀步非常

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

target key transformation before matching against any local-target-filter. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map

N-1, it takes a single modulo property to configure the bound N. One use case is CLIENT_ID sharding across a cluster of N brokers. With a consistent hash % N transformation, each client id can map