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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespa.hosted.provision.autoscale;
import com.yahoo.config.provision.ApplicationId;
import com.yahoo.config.provision.ClusterResources;
import com.yahoo.config.provision.ClusterSpec;
import com.yahoo.config.provision.NodeResources;
import com.yahoo.test.ManualClock;
import com.yahoo.vespa.hosted.provision.applications.Application;
import com.yahoo.vespa.hosted.provision.applications.AutoscalingStatus;
import com.yahoo.vespa.hosted.provision.applications.Cluster;
import com.yahoo.vespa.hosted.provision.applications.Status;
import org.junit.Test;
import java.time.Duration;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import java.util.function.IntFunction;
import static org.junit.Assert.assertEquals;
/**
* @author bratseth
*/
public class ClusterModelTest {
private static final double delta = 0.001;
@Test
public void test_traffic_headroom() {
ManualClock clock = new ManualClock();
Application application = Application.empty(ApplicationId.from("t1", "a1", "i1"));
Cluster cluster = cluster(new NodeResources(1, 10, 100, 1));
application = application.with(cluster);
// No current traffic share: Ideal load is low but capped
var model1 = new ClusterModel(application.with(new Status(0.0, 1.0)),
cluster, clock, Duration.ofMinutes(10),
timeseries(cluster,100, t -> t == 0 ? 10000.0 : 0.0, t -> 0.0, clock),
ClusterNodesTimeseries.empty());
assertEquals(0.131, model1.idealLoad().cpu(), delta);
// Almost no current traffic share: Ideal load is low but capped
var model2 = new ClusterModel(application.with(new Status(0.0001, 1.0)),
cluster, clock, Duration.ofMinutes(10),
timeseries(cluster,100, t -> t == 0 ? 10000.0 : 0.0, t -> 0.0, clock),
ClusterNodesTimeseries.empty());
assertEquals(0.131, model2.idealLoad().cpu(), delta);
}
@Test
public void test_growth_headroom() {
ManualClock clock = new ManualClock();
Application application = Application.empty(ApplicationId.from("t1", "a1", "i1"));
Cluster cluster = cluster(new NodeResources(1, 10, 100, 1));
application = application.with(cluster);
// No current traffic: Ideal load is low but capped
var model1 = new ClusterModel(application,
cluster, clock, Duration.ofMinutes(10),
timeseries(cluster,100, t -> t == 0 ? 10000.0 : 0.0, t -> 0.0, clock),
ClusterNodesTimeseries.empty());
assertEquals(0.275, model1.idealLoad().cpu(), delta);
// Almost no current traffic: Ideal load is low but capped
var model2 = new ClusterModel(application.with(new Status(0.0001, 1.0)),
cluster, clock, Duration.ofMinutes(10),
timeseries(cluster,100, t -> t == 0 ? 10000.0 : 0.0001, t -> 0.0, clock),
ClusterNodesTimeseries.empty());
assertEquals(0.040, model2.idealLoad().cpu(), delta);
}
private Cluster cluster(NodeResources resources) {
return new Cluster(ClusterSpec.Id.from("test"),
false,
new ClusterResources(5, 1, resources),
new ClusterResources(5, 1, resources),
Optional.empty(),
Optional.empty(),
List.of(),
AutoscalingStatus.empty());
}
/** Creates the given number of measurements, spaced 5 minutes between, using the given function */
private ClusterTimeseries timeseries(Cluster cluster,
int measurements,
IntFunction<Double> queryRate,
IntFunction<Double> writeRate,
ManualClock clock) {
List<ClusterMetricSnapshot> snapshots = new ArrayList<>(measurements);
for (int i = 0; i < measurements; i++) {
snapshots.add(new ClusterMetricSnapshot(clock.instant(), queryRate.apply(i), writeRate.apply(i)));
clock.advance(Duration.ofMinutes(5));
}
return new ClusterTimeseries(cluster.id(),snapshots);
}
}
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