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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.Capacity;
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.Cluster;
import com.yahoo.vespa.hosted.provision.applications.Status;
import com.yahoo.vespa.hosted.provision.provisioning.ProvisioningTester;
import org.junit.Test;
import java.time.Duration;
import java.util.ArrayList;
import java.util.List;
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 unit_adjustment_should_cause_no_change() {
var model = clusterModelWithNoData(); // 5 nodes, 1 group
assertEquals(Load.one(), model.loadAdjustment());
var target = model.loadAdjustment().scaled(nodeResources());
int testingNodes = 5 - 1;
int currentNodes = 5 - 1;
assertEquals(nodeResources(), model.loadWith(testingNodes, 1).scaled(Load.one().divide(model.loadWith(currentNodes, 1)).scaled(target)));
}
@Test
public void test_traffic_headroom() {
// No current traffic share: Ideal load is low but capped
var model1 = clusterModel(new Status(0.0, 1.0),
t -> t == 0 ? 10000.0 : 100.0, t -> 0.0);
assertEquals(0.32653061224489793, model1.idealLoad().cpu(), delta);
// Almost no current traffic share: Ideal load is low but capped
var model2 = clusterModel(new Status(0.0001, 1.0),
t -> t == 0 ? 10000.0 : 100.0, t -> 0.0);
assertEquals(0.32653061224489793, model2.idealLoad().cpu(), delta);
// Almost no traffic: Headroom impact is reduced due to uncertainty
var model3 = clusterModel(new Status(0.0001, 1.0),
t -> t == 0 ? 10000.0 : 1.0, t -> 0.0);
assertEquals(0.6465952717720751, model3.idealLoad().cpu(), delta);
}
@Test
public void test_growth_headroom() {
// No traffic data: Ideal load assumes 2 regions
var model1 = clusterModel(new Status(0.0, 0.0),
t -> t == 0 ? 10000.0 : 100.0, t -> 0.0);
assertEquals(0.16326530612244897, model1.idealLoad().cpu(), delta);
// No traffic: Ideal load is higher since we now know there is only one zone
var model2 = clusterModel(new Status(0.0, 1.0),
t -> t == 0 ? 10000.0 : 100.0, t -> 0.0);
assertEquals(0.32653061224489793, model2.idealLoad().cpu(), delta);
// Almost no current traffic: Similar number as above
var model3 = clusterModel(new Status(0.0001, 1.0),
t -> t == 0 ? 10000.0 : 100.0, t -> 0.0);
assertEquals(0.32653061224489793, model3.idealLoad().cpu(), delta);
// Low query rate: Impact of growth headroom is reduced due to uncertainty
var model4 = clusterModel(new Status(0.0001, 1.0),
t -> t == 0 ? 100.0 : 1.0, t -> 0.0);
assertEquals(0.6465952717720751, model4.idealLoad().cpu(), delta);
}
private ClusterModel clusterModelWithNoData() {
return clusterModel(new Status(0.0, 1.0), t -> 0.0, t -> 0.0);
}
private ClusterModel clusterModel(Status status, IntFunction<Double> queryRate, IntFunction<Double> writeRate) {
ManualClock clock = new ManualClock();
Application application = Application.empty(ApplicationId.from("t1", "a1", "i1"));
ClusterSpec clusterSpec = clusterSpec();
Cluster cluster = cluster();
application = application.with(cluster);
var nodeRepository = new ProvisioningTester.Builder().build().nodeRepository();
return new ClusterModel(nodeRepository,
application.with(status),
clusterSpec, cluster,
new AllocatableResources(clusterResources(), clusterSpec, nodeRepository),
clock, Duration.ofMinutes(10), Duration.ofMinutes(5),
timeseries(cluster,100, queryRate, writeRate, clock),
ClusterNodesTimeseries.empty());
}
private ClusterResources clusterResources() {
return new ClusterResources(5, 1, nodeResources());
}
private NodeResources nodeResources() {
return new NodeResources(1, 10, 100, 1);
}
private ClusterSpec clusterSpec() {
return ClusterSpec.specification(ClusterSpec.Type.content, ClusterSpec.Id.from("test"))
.group(ClusterSpec.Group.from(0))
.vespaVersion("7.1.1")
.build();
}
private Cluster cluster() {
return Cluster.create(ClusterSpec.Id.from("test"),
false,
Capacity.from(clusterResources()));
}
/** 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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