public class ClusterWidePercentileTracker extends PercentileTracker
PercentileTracker
that aggregates all measurements into a single histogram.
This gives you global latency percentiles for the whole cluster, meaning that latencies of slower hosts will tend to appear in higher percentiles.
Modifier and Type | Class and Description |
---|---|
static class |
ClusterWidePercentileTracker.Builder
Helper class to build
PerHostPercentileTracker instances with a fluent interface. |
Modifier and Type | Method and Description |
---|---|
static ClusterWidePercentileTracker.Builder |
builder(long highestTrackableLatencyMillis)
Returns a builder to create a new instance.
|
protected Cluster |
computeKey(Host host,
Statement statement,
Exception exception)
Computes a key used to categorize measurements.
|
void |
onRegister(Cluster cluster)
Gets invoked when the tracker is registered with a cluster, or at cluster startup if the
tracker was registered at initialization with
Cluster.register(LatencyTracker) . |
getLatencyAtPercentile, include, onUnregister, update
public void onRegister(Cluster cluster)
LatencyTracker
Cluster.register(LatencyTracker)
.onRegister
in interface LatencyTracker
onRegister
in class PercentileTracker
cluster
- the cluster that this tracker is registered with.protected Cluster computeKey(Host host, Statement statement, Exception exception)
PercentileTracker
It's recommended to keep the number of distinct keys low, in order to limit the memory footprint of the histograms.
computeKey
in class PercentileTracker
host
- the host that was queried.statement
- the statement that was executed.exception
- if the query failed, the corresponding exception.public static ClusterWidePercentileTracker.Builder builder(long highestTrackableLatencyMillis)
highestTrackableLatencyMillis
- the highest expected latency. If a higher value is
reported, it will be ignored and a warning will be logged. A good rule of thumb is to set
it slightly higher than SocketOptions.getReadTimeoutMillis()
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