Reference documentation and code samples for the Cloud Bigtable V2 API class Google::Cloud::Bigtable::V2::RateLimitInfo.
Information about how client should adjust the load to Bigtable.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#factor
def factor() -> ::Float
-
(::Float) — If it has been at least one
period
since the last load adjustment, the client should multiply the current load by this value to get the new target load. For example, if the current load is 100 andfactor
is 0.8, the new target load should be 80. After adjusting, the client should ignorefactor
until anotherperiod
has passed.The client can measure its load using any unit that's comparable over time For example, QPS can be used as long as each request involves a similar amount of work.
#factor=
def factor=(value) -> ::Float
-
value (::Float) — If it has been at least one
period
since the last load adjustment, the client should multiply the current load by this value to get the new target load. For example, if the current load is 100 andfactor
is 0.8, the new target load should be 80. After adjusting, the client should ignorefactor
until anotherperiod
has passed.The client can measure its load using any unit that's comparable over time For example, QPS can be used as long as each request involves a similar amount of work.
-
(::Float) — If it has been at least one
period
since the last load adjustment, the client should multiply the current load by this value to get the new target load. For example, if the current load is 100 andfactor
is 0.8, the new target load should be 80. After adjusting, the client should ignorefactor
until anotherperiod
has passed.The client can measure its load using any unit that's comparable over time For example, QPS can be used as long as each request involves a similar amount of work.
#period
def period() -> ::Google::Protobuf::Duration
- (::Google::Protobuf::Duration) — Time that clients should wait before adjusting the target rate again. If clients adjust rate too frequently, the impact of the previous adjustment may not have been taken into account and may over-throttle or under-throttle. If clients adjust rate too slowly, they will not be responsive to load changes on server side, and may over-throttle or under-throttle.
#period=
def period=(value) -> ::Google::Protobuf::Duration
- value (::Google::Protobuf::Duration) — Time that clients should wait before adjusting the target rate again. If clients adjust rate too frequently, the impact of the previous adjustment may not have been taken into account and may over-throttle or under-throttle. If clients adjust rate too slowly, they will not be responsive to load changes on server side, and may over-throttle or under-throttle.
- (::Google::Protobuf::Duration) — Time that clients should wait before adjusting the target rate again. If clients adjust rate too frequently, the impact of the previous adjustment may not have been taken into account and may over-throttle or under-throttle. If clients adjust rate too slowly, they will not be responsive to load changes on server side, and may over-throttle or under-throttle.