MySQL replication capabilities are implemented using the following types of threads:
Binary log dump thread. The source creates a thread to send the binary log contents to a replica when the replica connects. This thread can be identified in the output of
SHOW PROCESSLIST
on the source as theBinlog Dump
thread.Replication I/O receiver thread. When a
START REPLICA
statement is issued on a replica server, the replica creates an I/O (receiver) thread, which connects to the source and asks it to send the updates recorded in its binary logs.The replication receiver thread reads the updates that the source's
Binlog Dump
thread sends (see previous item) and copies them to local files that comprise the replica's relay log.The state of this thread is shown as
Slave_IO_running
in the output ofSHOW REPLICA STATUS
.Replication SQL applier thread. When
replica_parallel_workers
is equal to 0, the replica creates an SQL (applier) thread to read the relay log that is written by the replication receiver thread and execute the transactions contained in it. Whenreplica_parallel_workers
is
, there areN
>= 1N
applier threads and one coordinator thread, which reads transactions sequentially from the relay log, and schedules them to be applied by worker threads. Each worker applies the transactions that the coordinator has assigned to it.
You can enable further parallelization for tasks on a replica by
setting the system variable
replica_parallel_workers
to a value greater
than 0. When this is done, the replica creates the specified
number of worker threads to apply transactions, plus a coordinator
thread which reads transactions from the relay log and assigns
them to workers. A replica with
replica_parallel_workers
(slave_parallel_workers
) set to a value greater
than 0 is called a multithreaded replica. If you are using
multiple replication channels, each channel has the number of
threads specified using this variable.
Multithreaded replicas are also supported by NDB Cluster. See Section 25.7.11, “NDB Cluster Replication Using the Multithreaded Applier”, for more information.