'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing mysql_auth_server_static_string string JSON representation of the users/passwords config. mysql_auth_static_reload_interval duration Ticker to reload credentials mysql_clientcert_auth_method string client-side authentication

, enable-consolidator -replicas heartbeatIntervalMilliseconds: 0 # heartbeat_enable , heartbeat_interval shutdownGracePeriodSeconds: 0 # transaction_shutdown_grace_period passthroughDML: false # queryserver S=70000 -e MYSQL_BIND_HOST=0.0.0.0 --health -cmd="mysqladmin ping -h127.0.0.1 -P33577" --health-interval=5s --health -timeout=2s --health-retries=5 vitess/vttestserver:mysql57 Now, we can connect to the 'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message:

'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing metric is only as accurate as the following metrics: • The probe interval • The heartbeat injection interval • The aggregation interval The error margin equals approximately the sum of the above values

, enable-consolidator -replicas heartbeatIntervalMilliseconds: 0 # heartbeat_enable , heartbeat_interval shutdownGracePeriodSeconds: 0 # transaction_shutdown_grace_period passthroughDML: false # queryserver 'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing

, enable-consolidator -replicas heartbeatIntervalMilliseconds: 0 # heartbeat_enable , heartbeat_interval shutdownGracePeriodSeconds: 0 # transaction_shutdown_grace_period passthroughDML: false # queryserver 'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing

based on these and on the stream status. One way or another, we expect at most (roughly) a 1 minute interval between a running migration’s liveness reports. When a migration is expected to be running, and enable -consolidator -replicas heartbeatIntervalMilliseconds: 0 # heartbeat_enable , heartbeat_interval shutdownGracePeriodSeconds: 0 # transaction_shutdown_grace_period passthroughDML: false # queryserver S=70000 -e MYSQL_BIND_HOST=0.0.0.0 --health -cmd="mysqladmin ping -h127.0.0.1 -P33577" --health-interval=5s --health -timeout=2s --health-retries=5 vitess/vttestserver:mysql57 Now, we can connect to the

'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing split column must have numeric type (integral or floating point). The algorithm works by taking the interval [min, max], where min and max are the minimum and maximum values of the split column in the table-shard

'vitess_message ,vt_ack_wait=30,vt_purge_after=86400,vt_batch_size=10,vt_cache_size=10000,vt_poller_interval=30' The application-related columns are as follows: • id: can be any type. Must be unique. • message: demand is higher, the rest of the items will have to wait for the next poller cycle. • vt_poller_interval=30: Poll every 30s for messages that are due to be sent. If any of the above fields are missing split column must have numeric type (integral or floating point). The algorithm works by taking the interval [min, max], where min and max are the minimum and maximum values of the split column in the table-shard