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  1. MariaDB Server
  2. MDEV-5296

No status information available for parallel replication



    • Task
    • Status: Open (View Workflow)
    • Major
    • Resolution: Unresolved
    • None
    • None


      There is very little information available to the DBA about how parallel
      replication works. This makes it very hard to manage/tune it properly.

      Here is a rough idea of what could be useful, from discussions with Giuseppe

      It could be useful to have in I_S or P_S a table that gives for each worker
      thread stuff like:

      • The GTID of the event group currently executing, or NULL if idle
      • Status (executing, waiting for prior transaction before starting, waiting
        for prior transaction before committing, stuff like that)
      • The current database (USE xxx)
      • Currently executing query
      • Whether this worker was scheduled in parallel with something else, and if
        so, why that was possible (group commit id or replication domain id)
      • Total number of events and event groups executed by worker thread
      • Possibly time spent idle, time spent executing, and time spent waiting for
        prior transactions to commit (if such times can be obtained without too
        high performance overhead).

      On top of this, I think we could also add some statistics for the SQL
      thread. Like, how often did it have to wait for a worker to become free to
      schedule a potentially parallel transaction (might indicate a too-low
      --slave-parallel-threads). And how many transactions could / could not be
      scheduled in parallel (could indicate the need to tune the master to provide
      more parallelism in the binlog).

      What would be really nice is to have two numbers in SHOW SLAVE STATUS. One is
      the wall-clock time since START SLAVE. The other is the total time spent by
      workers on executing events for this master connection (excluding waiting for
      other replication threads). The ratio between these two numbers would
      immediately give an indication of how effective parallel replication is at
      utilising the machine, same as the cpu% numbers in the `top` Linux utility.


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              knielsen Kristian Nielsen
              knielsen Kristian Nielsen
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