use of com.linkedin.d2.balancer.clients.TrackerClient in project rest.li by linkedin.
the class DegraderLoadBalancerTest method testWeightedAndLatencyDegradationBalancingRing.
@Test(groups = { "small", "back-end" }, dataProvider = "consistentHashAlgorithms")
public void testWeightedAndLatencyDegradationBalancingRing(String consistentHashAlgorithm) throws URISyntaxException {
DegraderLoadBalancerStrategyV3 strategy = getStrategy(consistentHashAlgorithm);
List<DegraderTrackerClient> clients = new ArrayList<>();
URI uri1 = URI.create("http://test.linkedin.com:3242/fdsaf");
URI uri2 = URI.create("http://test.linkedin.com:3243/fdsaf");
TestClock clock1 = new TestClock();
TestClock clock2 = new TestClock();
DegraderTrackerClient client1 = new DegraderTrackerClientImpl(uri1, getDefaultPartitionData(1d), new TestLoadBalancerClient(uri1), clock1, null);
DegraderTrackerClient client2 = new DegraderTrackerClientImpl(uri2, getDefaultPartitionData(0.8d), new TestLoadBalancerClient(uri2), clock2, null);
clients.add(client1);
clients.add(client2);
DegraderControl dcClient2Default = client2.getDegraderControl(DEFAULT_PARTITION_ID);
dcClient2Default.setOverrideMinCallCount(1);
dcClient2Default.setMinCallCount(1);
dcClient2Default.setMaxDropRate(1d);
dcClient2Default.setUpStep(0.4d);
dcClient2Default.setHighErrorRate(0);
CallCompletion cc = client2.getCallTracker().startCall();
clock2.addMs(1);
cc.endCallWithError();
clock1.addMs(15000);
clock2.addMs(5000);
// trigger a state update
assertNotNull(getTrackerClient(strategy, null, new RequestContext(), 1, clients));
// now do a basic verification to verify getTrackerClient is properly weighting things
double calls = 10000d;
int client1Count = 0;
int client2Count = 0;
double tolerance = 0.05d;
for (int i = 0; i < calls; ++i) {
TrackerClient client = getTrackerClient(strategy, null, new RequestContext(), 1, clients);
assertNotNull(client);
if (client.getUri().equals(uri1)) {
++client1Count;
} else {
++client2Count;
}
}
assertTrue(Math.abs((client1Count / calls) - (100 / 148d)) < tolerance);
assertTrue(Math.abs((client2Count / calls) - (48 / 148d)) < tolerance);
}
use of com.linkedin.d2.balancer.clients.TrackerClient in project rest.li by linkedin.
the class DegraderLoadBalancerTest method testRandom.
@Test(groups = { "small", "back-end" })
public void testRandom() throws URISyntaxException {
DegraderLoadBalancerStrategyV3 strategy = getStrategy();
List<DegraderTrackerClient> clients = new ArrayList<>();
URI uri1 = URI.create("http://test.linkedin.com:3242/fdsaf");
URI uri2 = URI.create("http://test.linkedin.com:3243/fdsaf");
clients.add(getClient(uri1, new TestClock()));
clients.add(getClient(uri2, new TestClock()));
// since cluster call count is 0, we will default to random
for (int i = 0; i < 1000; ++i) {
TrackerClient client = getTrackerClient(strategy, null, new RequestContext(), 0, clients);
assertNotNull(client);
assertTrue(clients.contains(client));
}
}
use of com.linkedin.d2.balancer.clients.TrackerClient in project rest.li by linkedin.
the class DegraderLoadBalancerTest method testInconsistentHashAndTrackerclients.
@Test(groups = { "small", "back-end" }, dataProvider = "consistentHashAlgorithms")
public void testInconsistentHashAndTrackerclients(String consistentHashAlgorithm) throws URISyntaxException, InterruptedException {
// check if the inconsistent Hash ring and trackerlients can be handled
TestClock clock = new TestClock();
Map<String, Object> myMap = lbDefaultConfig();
myMap.put(PropertyKeys.CLOCK, clock);
myMap.put(PropertyKeys.HTTP_LB_CONSISTENT_HASH_ALGORITHM, consistentHashAlgorithm);
DegraderLoadBalancerStrategyConfig config = DegraderLoadBalancerStrategyConfig.createHttpConfigFromMap(myMap);
DegraderLoadBalancerStrategyV3 strategy = new DegraderLoadBalancerStrategyV3(config, "DegraderLoadBalancerTest", null, DEGRADER_STATE_LISTENER_FACTORIES);
List<DegraderTrackerClient> clients = new ArrayList<>();
clients.add(getClient(URI.create("http://test.linkedin.com:3242/fdsaf"), clock));
clients.add(getClient(URI.create("http://test.linkedin.com:3243/fdsaf"), clock));
TrackerClient chosen = getTrackerClient(strategy, null, new RequestContext(), 0, clients);
assertNotNull(chosen);
// remove the client from the list, now the ring and the trackerClient list are inconsistent
clients.remove(chosen);
assertNotNull(getTrackerClient(strategy, null, new RequestContext(), 0, clients));
// update the hash ring we should get the results as well
assertNotNull(getTrackerClient(strategy, null, new RequestContext(), 1, clients));
}
use of com.linkedin.d2.balancer.clients.TrackerClient in project rest.li by linkedin.
the class DegraderLoadBalancerTest method testDegraderLoadBalancerSimulator.
private void testDegraderLoadBalancerSimulator(DegraderLoadBalancerStrategyAdapter adapter, TestClock clock, long timeInterval, List<DegraderTrackerClient> clients, double qps, DegraderImpl.Config degraderConfig) {
long clusterGenerationId = 1;
double overrideDropRate = 0.0;
// simulate latency 4000 ms
// 1st round we use LOAD_BALANCING strategy. Since we have a high latency we will decrease the number of points
// from 100 to 80 (transmissionRate * points per weight).
TrackerClient resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, true, 0.0, 4000, false, false);
assertNotNull(resultTC);
// 2nd round drop rate should be increased by DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP
overrideDropRate += DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, false, overrideDropRate, 4000, false, false);
// 3rd round. We alternate back to LOAD_BALANCING strategy and we drop the points even more
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, true, overrideDropRate, 4000, false, false);
// 4th round. The drop rate should be increased again like 2nd round
overrideDropRate += DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, false, overrideDropRate, 4000, false, false);
// 5th round. Alternate to changing hash ring again.
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, true, overrideDropRate, 4000, false, false);
// 6th round. Same as 5th round, we'll increase the drop rate
overrideDropRate += DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 4000, false, false);
// 7th round. The # of point in hashring is at the minimum so we can't decrease it further. At this point the client
// is in recovery mode. But since we can't change the hashring anymore, we'll always in CALL_DROPPING mode
// so the next strategy is expected to be LOAD_BALANCING mode.
overrideDropRate += DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 4000, false, false);
// 8th round. We'll increase the drop rate to the max.
overrideDropRate += DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_UP;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 4000, false, false);
// 9th round, now we'll simulate as if there still a call even though we drop 100% of all request to get
// tracker client. The assumption is there's some thread that still holds tracker client and we want
// to make sure we can handle the request and we can't degrade the cluster even further.
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 4000, false, false);
// 10th round, now we'll simulate as if there's no call because we dropped all request
// even though we are in LOAD_BALANCING mode and this tracker client is in recovery mode and there's no call
// so the hashring doesn't change so we go back to reducing the drop rate to 0.8 and that means the next
// strategy is LOAD_BALANCE
overrideDropRate -= DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_DOWN;
resultTC = simulateAndTestOneInterval(timeInterval, clock, 0.0, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 4000, false, false);
// 11th round, this time we'll simulate the latency is now 1000 ms (so it's within low and high watermark). Drop rate
// should stay the same and everything else should stay the same
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, overrideDropRate, 1000, false, false);
// we'll simulate the client dying one by one until all the clients are gone
int numberOfClients = clients.size();
HashSet<URI> uris = new HashSet<>();
HashSet<URI> removedUris = new HashSet<>();
for (TrackerClient client : clients) {
uris.add(client.getUri());
}
LinkedList<TrackerClient> removedClients = new LinkedList<>();
// loadBalancing strategy will always be picked because there is no hash ring changes
boolean isLoadBalancingStrategyTurn = true;
for (int i = numberOfClients; i > 0; i--) {
TrackerClient removed = clients.remove(0);
uris.remove(removed.getUri());
removedClients.addLast(removed);
removedUris.add(removed.getUri());
clusterGenerationId++;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, isLoadBalancingStrategyTurn, overrideDropRate, 1000, false, false);
if (i == 1) {
assertNull(resultTC);
} else {
// the override drop rate is 0.8)
if (resultTC != null) {
assertTrue(uris.contains(resultTC.getUri()));
assertFalse(removedUris.contains(resultTC.getUri()));
}
}
}
assertTrue(uris.isEmpty());
assertTrue(clients.isEmpty());
assertEquals(removedUris.size(), numberOfClients);
assertEquals(removedClients.size(), numberOfClients);
// we'll simulate the client start reviving one by one until all clients are back up again
for (int i = numberOfClients; i > 0; i--) {
TrackerClient added = removedClients.remove(0);
// we have to create a new client. The old client has a degraded DegraderImpl. And in production enviroment
// when a new client join a cluster, it should be in good state. This means there should be 100 points
// in the hash ring for this client
DegraderTrackerClient newClient = new DegraderTrackerClientImpl(added.getUri(), getDefaultPartitionData(1d), new TestLoadBalancerClient(added.getUri()), clock, degraderConfig);
clients.add(newClient);
uris.add(added.getUri());
removedUris.remove(added.getUri());
clusterGenerationId++;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, isLoadBalancingStrategyTurn, overrideDropRate, 1000, false, false);
if (resultTC != null) {
assertTrue(uris.contains(resultTC.getUri()));
assertFalse(removedUris.contains(resultTC.getUri()));
}
}
// the number of points because there is no hash ring changes
for (overrideDropRate -= DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_DOWN; overrideDropRate >= 0; overrideDropRate -= DegraderLoadBalancerStrategyConfig.DEFAULT_GLOBAL_STEP_DOWN) {
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, false, overrideDropRate, 300, false, false);
}
// we should have recovered fully by this time
overrideDropRate = 0.0;
resultTC = simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, false, overrideDropRate, 300, false, false);
assertNotNull(resultTC);
clusterGenerationId++;
// simulate the increase of certain error (connect exception, closedChannelException) rate will cause degradation.
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, true, 0.0, 300, false, true);
// switching to call dropping strategy
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, false, 0.0, 300, false, true);
// continue the degradation
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, true, 0.0, 300, false, true);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, false, 0.0, 300, false, true);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, true, 0.0, 300, false, true);
// now let's remove all the error and see how the cluster recover but we have to wait until next round because
// this round is CALL_DROP strategy
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 1, false, 0.0, 300, false, false);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, true, 0.0, 300, false, false);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 39, false, 0.0, 300, false, false);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, true, 0.0, 300, false, false);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 80, false, 0.0, 300, false, false);
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, true, 0.0, 300, false, false);
// make sure if we have error that is not from CONNECT_EXCEPTION or CLOSED_CHANNEL_EXCEPTION we don't degrade
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, false, 0.0, 300, true, false);
// since there's no change in hash ring due to error NOT of CONNECT_EXCEPTION or CLOSED_CHANNEL_EXCEPTION,
// the strategy won't change to CALL_DROPPING
simulateAndTestOneInterval(timeInterval, clock, qps, clients, adapter, clusterGenerationId, 100, false, 0.0, 300, true, false);
}
use of com.linkedin.d2.balancer.clients.TrackerClient in project rest.li by linkedin.
the class SimpleLoadBalancerStateTest method testUpdatePartitionDataMap.
@Test(groups = { "small", "back-end" })
public void testUpdatePartitionDataMap() {
reset();
URI uri = URI.create("http://cluster-1/test");
List<String> schemes = new ArrayList<>();
Map<Integer, PartitionData> partitionDataMap = new HashMap<>(1);
Map<URI, Map<Integer, PartitionData>> uriData = new HashMap<>();
uriData.put(uri, partitionDataMap);
schemes.add("http");
_state.listenToCluster("cluster-1", new NullStateListenerCallback());
_state.listenToService("service-1", new NullStateListenerCallback());
_serviceRegistry.put("service-1", new ServiceProperties("service-1", "cluster-1", "/test", Arrays.asList("random"), Collections.<String, Object>emptyMap(), null, null, schemes, null));
// first we announce uri with empty partition data map
_uriRegistry.put("cluster-1", new UriProperties("cluster-1", uriData));
TrackerClient client = _state.getClient("service-1", uri);
assertNotNull(client);
assertEquals(client.getUri(), uri);
// tracker client should see empty partition data map
assertTrue(client.getPartitionDataMap().isEmpty());
// then we update this uri to have a non-empty partition data map
partitionDataMap.put(DefaultPartitionAccessor.DEFAULT_PARTITION_ID, new PartitionData(1d));
_uriRegistry.put("cluster-1", new UriProperties("cluster-1", uriData));
TrackerClient updatedClient = _state.getClient("service-1", uri);
assertNotNull(updatedClient);
// should have got a different tracker client
assertNotSame(client, updatedClient);
assertEquals(updatedClient.getUri(), uri);
// this updated client should have updated partition data map
assertFalse(updatedClient.getPartitionDataMap().isEmpty());
assertEquals(updatedClient.getPartitionDataMap(), partitionDataMap);
}
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