Cloud Bigtable V2 API - Class Google::Cloud::Bigtable::V2::RateLimitInfo (v1.4.0)

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
Returns
  • (::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 and factor is 0.8, the new target load should be 80. After adjusting, the client should ignore factor until another period 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
Parameter
  • 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 and factor is 0.8, the new target load should be 80. After adjusting, the client should ignore factor until another period 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.

Returns
  • (::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 and factor is 0.8, the new target load should be 80. After adjusting, the client should ignore factor until another period 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
Returns
  • (::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
Parameter
  • 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.
Returns
  • (::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.