public class PercentileSpeculativeExecutionPolicy extends Object implements SpeculativeExecutionPolicy
SpeculativeExecutionPolicy.SpeculativeExecutionPlan| Constructor and Description |
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PercentileSpeculativeExecutionPolicy(PercentileTracker percentileTracker,
double percentile,
int maxSpeculativeExecutions)
Builds a new instance.
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| Modifier and Type | Method and Description |
|---|---|
void |
close()
Gets invoked at cluster shutdown.
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void |
init(Cluster cluster)
Gets invoked at cluster startup.
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SpeculativeExecutionPolicy.SpeculativeExecutionPlan |
newPlan(String loggedKeyspace,
Statement statement)
Returns the plan to use for a new query.
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public PercentileSpeculativeExecutionPolicy(PercentileTracker percentileTracker, double percentile, int maxSpeculativeExecutions)
percentileTracker - the component that will record latencies. It will get registered with the cluster when this policy initializes.percentile - the percentile that a request's latency must fall into to be considered slow
(ex: 99.0).maxSpeculativeExecutions - the maximum number of speculative executions that will be
triggered for a given request (this does not include the initial, normal request). Must be
strictly positive.public SpeculativeExecutionPolicy.SpeculativeExecutionPlan newPlan(String loggedKeyspace, Statement statement)
SpeculativeExecutionPolicynewPlan in interface SpeculativeExecutionPolicyloggedKeyspace - the currently logged keyspace (the one set through either Cluster.connect(String) or by manually doing a USE query) for the session on which
this plan need to be built. This can be null if the corresponding session has no
keyspace logged in.statement - the query for which to build a plan.public void init(Cluster cluster)
SpeculativeExecutionPolicyinit in interface SpeculativeExecutionPolicycluster - the cluster that this policy is associated with.public void close()
SpeculativeExecutionPolicyThis gives the policy the opportunity to perform some cleanup, for instance stop threads that it might have started.
close in interface SpeculativeExecutionPolicyCopyright © 2012–2023. All rights reserved.