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Add RF change ST tunings to make it more stable #10116

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May 18, 2024
Merged

Add RF change ST tunings to make it more stable #10116

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20 changes: 11 additions & 9 deletions systemtest/src/test/java/io/strimzi/systemtest/operators/topic/TopicReplicasChangeST.java
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,6 @@
import io.strimzi.api.kafka.model.topic.KafkaTopicStatus;
import io.strimzi.systemtest.AbstractST;
import io.strimzi.systemtest.Environment;
import io.strimzi.systemtest.TestConstants;
import io.strimzi.systemtest.annotations.IsolatedTest;
import io.strimzi.systemtest.annotations.ParallelTest;
import io.strimzi.systemtest.kafkaclients.internalClients.KafkaClients;
Expand Down Expand Up @@ -442,34 +441,37 @@ void setup() {
KafkaNodePoolTemplates.controllerPool(sharedTestStorage.getNamespaceName(), sharedTestStorage.getControllerPoolName(), sharedTestStorage.getClusterName(), 1).build()
)
);

// we need to deploy Kafka with CC enabled (to have RF feature)
resourceManager.createResourceWithWait(KafkaTemplates.kafkaWithCruiseControl(sharedTestStorage.getClusterName(), 3, 3)
.editMetadata()
.withNamespace(sharedTestStorage.getNamespaceName())
.endMetadata()
.editSpec()
.editKafka()
// The interval of collecting and sending the interested metrics.
// this reduce test execution time approximately from 15m to 4m
.addToConfig("cruise.control.metrics.reporter.metrics.reporting.interval.ms", 10000)
// faster cluster model generation tuning: reduce reporting and metadata refresh intervals
.addToConfig("cruise.control.metrics.reporter.metrics.reporting.interval.ms", 5_000)
.addToConfig("cruise.control.metrics.reporter.metadata.max.age.ms", 4_000)
.endKafka()
.editEntityOperator()
.editOrNewTopicOperator()
.withReconciliationIntervalSeconds((int) TestConstants.RECONCILIATION_INTERVAL / 1000)
.withReconciliationIntervalSeconds(10)
.endTopicOperator()
.endEntityOperator()
.editCruiseControl()
// add fixed more resources at startup to make CC faster in building cluster model
// faster cluster model generation tuning: reserve some resources at startup
.withResources(new ResourceRequirementsBuilder()
.addToLimits("memory", new Quantity("1Gi"))
.addToRequests("memory", new Quantity("1Gi"))
.build())
// fine tune CC to make it quicker to build inner Cluster model with this settings
.addToConfig("metric.sampling.interval.ms", 60000)
// faster cluster model generation tuning: reduce sampling and metadata refresh intervals
.addToConfig("metric.sampling.interval.ms", 5_000)
.addToConfig("cruise.control.metrics.reporter.metrics.reporting.interval.ms", 5_000)
.addToConfig("metadata.max.age.ms", 4_000)
.endCruiseControl()
.endSpec()
.build(),
ScraperTemplates.scraperPod(sharedTestStorage.getNamespaceName(), sharedTestStorage.getScraperName()).build()
ScraperTemplates.scraperPod(sharedTestStorage.getNamespaceName(), sharedTestStorage.getScraperName()).build()
);

scraperPodName = ScraperUtils.getScraperPod(sharedTestStorage.getNamespaceName()).getMetadata().getName();
Expand Down
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