use of io.strimzi.api.kafka.model.KafkaRebalanceSpecBuilder in project strimzi-kafka-operator by strimzi.
the class KafkaRebalanceAssemblyOperatorTest method testNewToProposalReadyToRebalancingToStoppedRebalance.
/**
* Tests the transition from 'New' to to 'ProposalReady'
* The rebalance proposal is approved and the resource moves to 'Rebalancing' then to 'Stopped' (via annotation)
*
* 1. A new KafkaRebalance resource is created; it is in the 'New' state
* 2. The operator requests a rebalance proposal through the Cruise Control REST API
* 3. The rebalance proposal is ready on the first call
* 4. The KafkaRebalance resource moves to the 'ProposalReady' state
* 9. The KafkaRebalance resource is annotated with 'strimzi.io/rebalance=approve'
* 10. The operator requests the rebalance operation through the Cruise Control REST API
* 11. The rebalance operation is not done immediately; the operator starts polling the Cruise Control REST API
* 12. The KafkaRebalance resource moves to the 'Rebalancing' state
* 13. While the operator is waiting for the rebalance to be done, the KafkaRebalance resource is annotated with 'strimzi.io/rebalance=stop'
* 14. The operator stops polling the Cruise Control REST API and requests a stop execution
* 15. The KafkaRebalance resource moves to the 'Stopped' state
*/
@Test
public void testNewToProposalReadyToRebalancingToStoppedRebalance(VertxTestContext context) throws IOException, URISyntaxException {
// Setup the rebalance and user tasks endpoints with the number of pending calls before a response is received.
MockCruiseControl.setupCCRebalanceResponse(ccServer, 0);
MockCruiseControl.setupCCUserTasksResponseNoGoals(ccServer, 0, 2);
MockCruiseControl.setupCCStopResponse(ccServer);
KafkaRebalance kr = createKafkaRebalance(CLUSTER_NAMESPACE, CLUSTER_NAME, RESOURCE_NAME, new KafkaRebalanceSpecBuilder().build());
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).create(kr);
when(mockKafkaOps.getAsync(CLUSTER_NAMESPACE, CLUSTER_NAME)).thenReturn(Future.succeededFuture(kafka));
mockSecretResources();
mockRebalanceOperator(mockRebalanceOps, mockCmOps, CLUSTER_NAMESPACE, RESOURCE_NAME, kubernetesClient, new Runnable() {
int count = 0;
@Override
public void run() {
if (++count == 6) {
// after a while, apply the "stop" annotation to the resource in the Rebalancing state
annotate(kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceAnnotation.stop);
}
return;
}
});
Checkpoint checkpoint = context.checkpoint();
kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr).onComplete(context.succeeding(v -> assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.ProposalReady))).compose(v -> {
// apply the "approve" annotation to the resource in the ProposalReady state
KafkaRebalance approvedKr = annotate(kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceAnnotation.approve);
return kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), approvedKr);
}).onComplete(context.succeeding(v -> assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.Rebalancing))).compose(v -> {
// trigger another reconcile to process the Rebalancing state
KafkaRebalance kr5 = Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).withName(RESOURCE_NAME).get();
return kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr5);
}).onComplete(context.succeeding(v -> {
// the resource moved from Rebalancing to Stopped
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.Stopped);
checkpoint.flag();
}));
}
use of io.strimzi.api.kafka.model.KafkaRebalanceSpecBuilder in project strimzi-kafka-operator by strimzi.
the class KafkaRebalanceAssemblyOperatorTest method testNewToProposalReadyToRebalancingToReadyRebalance.
/**
* Tests the transition from 'New' to to 'ProposalReady'
* The rebalance proposal is approved and the resource moves to 'Rebalancing' and finally to 'Ready'
*
* 1. A new KafkaRebalance resource is created; it is in the 'New' state
* 2. The operator requests a rebalance proposal through the Cruise Control REST API
* 3. The rebalance proposal is ready on the first call
* 4. The KafkaRebalance resource transitions to the 'ProposalReady' state
* 9. The KafkaRebalance resource is annotated with 'strimzi.io/rebalance=approve'
* 10. The operator requests the rebalance operation through the Cruise Control REST API
* 11. The rebalance operation is not done immediately; the operator starts polling the Cruise Control REST API
* 12. The KafkaRebalance resource moves to the 'Rebalancing' state
* 13. The rebalance operation is done
* 14. The KafkaRebalance resource moves to the 'Ready' state
*/
@Test
public void testNewToProposalReadyToRebalancingToReadyRebalance(VertxTestContext context) throws IOException, URISyntaxException {
// Setup the rebalance and user tasks endpoints with the number of pending calls before a response is received.
MockCruiseControl.setupCCRebalanceResponse(ccServer, 0);
MockCruiseControl.setupCCUserTasksResponseNoGoals(ccServer, 0, 0);
KafkaRebalance kr = createKafkaRebalance(CLUSTER_NAMESPACE, CLUSTER_NAME, RESOURCE_NAME, new KafkaRebalanceSpecBuilder().build());
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).create(kr);
when(mockKafkaOps.getAsync(CLUSTER_NAMESPACE, CLUSTER_NAME)).thenReturn(Future.succeededFuture(kafka));
mockSecretResources();
mockRebalanceOperator(mockRebalanceOps, mockCmOps, CLUSTER_NAMESPACE, RESOURCE_NAME, kubernetesClient);
Checkpoint checkpoint = context.checkpoint();
kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr).onComplete(context.succeeding(v -> assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.ProposalReady))).compose(v -> {
// apply the "approve" annotation to the resource in the ProposalReady state
KafkaRebalance approvedKr = annotate(kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceAnnotation.approve);
return kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), approvedKr);
}).onComplete(context.succeeding(v -> {
// the resource moved from ProposalReady to Rebalancing on approval
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.Rebalancing);
})).compose(v -> {
// trigger another reconcile to process the Rebalancing state
KafkaRebalance kr4 = Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).withName(RESOURCE_NAME).get();
return kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr4);
}).onComplete(context.succeeding(v -> {
// the resource moved from Rebalancing to Ready
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.Ready);
checkpoint.flag();
}));
}
use of io.strimzi.api.kafka.model.KafkaRebalanceSpecBuilder in project strimzi-kafka-operator by strimzi.
the class KafkaRebalanceAssemblyOperatorTest method testNewToProposalReadySkipHardGoalsRebalance.
/**
* Tests the transition from 'New' to 'ProposalReady' skipping the hard goals check
*
* 1. A new KafkaRebalance resource is created with some specified goals not included in the hard goals but with flag to skip the check; it is in the 'New' state
* 2. The operator requests a rebalance proposal through the Cruise Control REST API
* 3. The rebalance proposal is ready on the first call
* 4. The KafkaRebalance resource transitions to the 'ProposalReady' state
*/
@Test
public void testNewToProposalReadySkipHardGoalsRebalance(VertxTestContext context) throws IOException, URISyntaxException {
// Setup the rebalance endpoint with the number of pending calls before a response is received.
MockCruiseControl.setupCCRebalanceResponse(ccServer, 0);
KafkaRebalanceSpec kafkaRebalanceSpec = new KafkaRebalanceSpecBuilder().withGoals("DiskCapacityGoal", "CpuCapacityGoal").withSkipHardGoalCheck(true).build();
KafkaRebalance kr = createKafkaRebalance(CLUSTER_NAMESPACE, CLUSTER_NAME, RESOURCE_NAME, kafkaRebalanceSpec);
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).create(kr);
when(mockKafkaOps.getAsync(CLUSTER_NAMESPACE, CLUSTER_NAME)).thenReturn(Future.succeededFuture(kafka));
mockSecretResources();
mockRebalanceOperator(mockRebalanceOps, mockCmOps, CLUSTER_NAMESPACE, RESOURCE_NAME, kubernetesClient);
Checkpoint checkpoint = context.checkpoint();
kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr).onComplete(context.succeeding(v -> {
// the resource moved from New directly to ProposalReady (no pending calls in the Mock server)
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.ProposalReady);
checkpoint.flag();
}));
}
use of io.strimzi.api.kafka.model.KafkaRebalanceSpecBuilder in project strimzi-kafka-operator by strimzi.
the class KafkaRebalanceAssemblyOperatorTest method testNewWithMissingHardGoalsAndRefresh.
/**
* Tests the transition from 'New' to 'NotReady' due to "missing hard goals" error
* The KafkaRebalance resource is updated with "skip hard goals check" and refreshed; it then moves to the 'ProposalReady' state
*
* 1. A new KafkaRebalance resource is created with some specified not hard goals; it is in the New state
* 2. The operator requests a rebalance proposal through the Cruise Control REST API
* 3. The operator receives a "missing hard goals" error instead of a proposal
* 4. The KafkaRebalance resource moves to the 'NotReady' state
* 5. The rebalance is updated with the 'skip hard goals check' field to "true" and annotated with 'strimzi.io/rebalance=refresh'
* 6. The operator requests a rebalance proposal through the Cruise Control REST API
* 7. The rebalance proposal is ready on the first call
* 8. The KafkaRebalance resource moves to the 'ProposalReady' state
*/
@Test
public void testNewWithMissingHardGoalsAndRefresh(VertxTestContext context) throws IOException, URISyntaxException {
// Setup the rebalance endpoint to get error about hard goals
MockCruiseControl.setupCCRebalanceBadGoalsError(ccServer);
KafkaRebalanceSpec kafkaRebalanceSpec = new KafkaRebalanceSpecBuilder().withGoals("DiskCapacityGoal", "CpuCapacityGoal").build();
KafkaRebalance kr = createKafkaRebalance(CLUSTER_NAMESPACE, CLUSTER_NAME, RESOURCE_NAME, kafkaRebalanceSpec);
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).create(kr);
// the Kafka cluster isn't deployed in the namespace
when(mockKafkaOps.getAsync(CLUSTER_NAMESPACE, CLUSTER_NAME)).thenReturn(Future.succeededFuture(kafka));
mockSecretResources();
mockRebalanceOperator(mockRebalanceOps, mockCmOps, CLUSTER_NAMESPACE, RESOURCE_NAME, kubernetesClient);
Checkpoint checkpoint = context.checkpoint();
kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr).onComplete(context.succeeding(v -> context.verify(() -> {
// the resource moved from New to NotReady due to the error
KafkaRebalance kr1 = Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).withName(RESOURCE_NAME).get();
assertThat(kr1, StateMatchers.hasState());
Condition condition = kcrao.rebalanceStateCondition(kr1.getStatus());
assertThat(condition, StateMatchers.hasStateInCondition(KafkaRebalanceState.NotReady, CruiseControlRestException.class, "Error processing POST request '/rebalance' due to: " + "'java.lang.IllegalArgumentException: Missing hard goals [NetworkInboundCapacityGoal, DiskCapacityGoal, RackAwareGoal, NetworkOutboundCapacityGoal, CpuCapacityGoal, ReplicaCapacityGoal] " + "in the provided goals: [RackAwareGoal, ReplicaCapacityGoal]. " + "Add skip_hard_goal_check=true parameter to ignore this sanity check.'."));
}))).compose(v -> {
ccServer.reset();
try {
// Setup the rebalance endpoint with the number of pending calls before a response is received.
MockCruiseControl.setupCCRebalanceResponse(ccServer, 0);
} catch (IOException | URISyntaxException e) {
context.failNow(e);
}
// set the skip hard goals check flag
KafkaRebalance kr2 = Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).withName(RESOURCE_NAME).get();
KafkaRebalance patchedKr = new KafkaRebalanceBuilder(kr2).editSpec().withSkipHardGoalCheck(true).endSpec().build();
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).withName(RESOURCE_NAME).patch(patchedKr);
// apply the "refresh" annotation to the resource in the NotReady state
patchedKr = annotate(kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceAnnotation.refresh);
// trigger another reconcile to process the NotReady state
return kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), patchedKr);
}).onComplete(context.succeeding(v -> {
// the resource transitioned from 'NotReady' to 'ProposalReady'
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.ProposalReady);
checkpoint.flag();
}));
}
use of io.strimzi.api.kafka.model.KafkaRebalanceSpecBuilder in project strimzi-kafka-operator by strimzi.
the class KafkaRebalanceAssemblyOperatorTest method testCruiseControlNotReachable.
/**
* Test the Cruise Control server not reachable
*
* 1. A new KafkaRebalance resource is created; it is in the 'New' state
* 2. The operator requests a rebalance proposal through the Cruise Control REST API
* 3. The operator doesn't get a response on time; the resource moves to 'NotReady'
*/
@Test
public void testCruiseControlNotReachable(VertxTestContext context) {
// stop the mocked Cruise Control server to make it unreachable
ccServer.stop();
KafkaRebalance kr = createKafkaRebalance(CLUSTER_NAMESPACE, CLUSTER_NAME, RESOURCE_NAME, new KafkaRebalanceSpecBuilder().build());
Crds.kafkaRebalanceOperation(kubernetesClient).inNamespace(CLUSTER_NAMESPACE).create(kr);
when(mockKafkaOps.getAsync(CLUSTER_NAMESPACE, CLUSTER_NAME)).thenReturn(Future.succeededFuture(kafka));
mockSecretResources();
mockRebalanceOperator(mockRebalanceOps, mockCmOps, CLUSTER_NAMESPACE, RESOURCE_NAME, kubernetesClient);
Checkpoint checkpoint = context.checkpoint();
kcrao.reconcileRebalance(new Reconciliation("test-trigger", KafkaRebalance.RESOURCE_KIND, CLUSTER_NAMESPACE, RESOURCE_NAME), kr).onComplete(context.succeeding(v -> {
try {
ccServer = MockCruiseControl.server(CruiseControl.REST_API_PORT);
} catch (IOException e) {
context.failNow(e);
}
// the resource moved from 'New' to 'NotReady' (mocked Cruise Control not reachable)
assertState(context, kubernetesClient, CLUSTER_NAMESPACE, RESOURCE_NAME, KafkaRebalanceState.NotReady, ConnectException.class, "Connection refused");
checkpoint.flag();
}));
}
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