use of io.strimzi.api.kafka.model.KafkaTopicSpecBuilder in project strimzi by strimzi.
the class TopicScalabilityIsolatedST method testModifyBigAmountOfTopicConfigs.
@IsolatedTest
void testModifyBigAmountOfTopicConfigs(ExtensionContext extensionContext) {
Map<String, Object> modifiedConfig = new HashMap<>();
// Create topics
KafkaTopicScalabilityUtils.createTopicsViaK8s(extensionContext, clusterOperator.getDeploymentNamespace(), sharedClusterName, topicPrefix, NUMBER_OF_TOPICS, 2, 3, 2);
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Add set of configs and expect topics to have ready status
modifiedConfig.put("compression.type", "gzip");
modifiedConfig.put("cleanup.policy", "delete");
modifiedConfig.put("message.timestamp.type", "LogAppendTime");
modifiedConfig.put("min.insync.replicas", 6);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set time configs
modifiedConfig.clear();
modifiedConfig.put("max.compaction.lag.ms", 54321);
modifiedConfig.put("min.compaction.lag.ms", 54);
modifiedConfig.put("retention.ms", 3690);
modifiedConfig.put("segment.ms", 123456);
modifiedConfig.put("flush.ms", 456123);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set size configs
modifiedConfig.clear();
modifiedConfig.put("retention.bytes", 9876543);
modifiedConfig.put("segment.bytes", 321654);
modifiedConfig.put("max.message.bytes", 654321);
modifiedConfig.put("flush.messages", 456123);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set back to default state
modifiedConfig.clear();
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
}
use of io.strimzi.api.kafka.model.KafkaTopicSpecBuilder in project strimzi by strimzi.
the class TopicScalabilityIsolatedST method testModifyBigAmountOfTopicPartitions.
@IsolatedTest
void testModifyBigAmountOfTopicPartitions(ExtensionContext extensionContext) {
final int defaultPartitionCount = 2;
// Create topics
KafkaTopicScalabilityUtils.createTopicsViaK8s(extensionContext, clusterOperator.getDeploymentNamespace(), sharedClusterName, topicPrefix, NUMBER_OF_TOPICS, defaultPartitionCount, 1, 1);
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Decrease partitions and expect not ready status
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withPartitions(defaultPartitionCount - 1).build());
KafkaTopicScalabilityUtils.waitForTopicsNotReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Set back to default and check if topic becomes ready
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withPartitions(defaultPartitionCount).build());
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
}
use of io.strimzi.api.kafka.model.KafkaTopicSpecBuilder in project strimzi-kafka-operator by strimzi.
the class TopicScalabilityIsolatedST method testModifyBigAmountOfTopicConfigs.
@IsolatedTest
void testModifyBigAmountOfTopicConfigs(ExtensionContext extensionContext) {
Map<String, Object> modifiedConfig = new HashMap<>();
// Create topics
KafkaTopicScalabilityUtils.createTopicsViaK8s(extensionContext, clusterOperator.getDeploymentNamespace(), sharedClusterName, topicPrefix, NUMBER_OF_TOPICS, 2, 3, 2);
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Add set of configs and expect topics to have ready status
modifiedConfig.put("compression.type", "gzip");
modifiedConfig.put("cleanup.policy", "delete");
modifiedConfig.put("message.timestamp.type", "LogAppendTime");
modifiedConfig.put("min.insync.replicas", 6);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set time configs
modifiedConfig.clear();
modifiedConfig.put("max.compaction.lag.ms", 54321);
modifiedConfig.put("min.compaction.lag.ms", 54);
modifiedConfig.put("retention.ms", 3690);
modifiedConfig.put("segment.ms", 123456);
modifiedConfig.put("flush.ms", 456123);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set size configs
modifiedConfig.clear();
modifiedConfig.put("retention.bytes", 9876543);
modifiedConfig.put("segment.bytes", 321654);
modifiedConfig.put("max.message.bytes", 654321);
modifiedConfig.put("flush.messages", 456123);
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsContainConfig(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, modifiedConfig);
// Set back to default state
modifiedConfig.clear();
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withConfig(modifiedConfig).build());
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
}
use of io.strimzi.api.kafka.model.KafkaTopicSpecBuilder in project strimzi-kafka-operator by strimzi.
the class TopicScalabilityIsolatedST method testModifyBigAmountOfTopicPartitions.
@IsolatedTest
void testModifyBigAmountOfTopicPartitions(ExtensionContext extensionContext) {
final int defaultPartitionCount = 2;
// Create topics
KafkaTopicScalabilityUtils.createTopicsViaK8s(extensionContext, clusterOperator.getDeploymentNamespace(), sharedClusterName, topicPrefix, NUMBER_OF_TOPICS, defaultPartitionCount, 1, 1);
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Decrease partitions and expect not ready status
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withPartitions(defaultPartitionCount - 1).build());
KafkaTopicScalabilityUtils.waitForTopicsNotReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
// Set back to default and check if topic becomes ready
KafkaTopicScalabilityUtils.modifyBigAmountOfTopics(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS, new KafkaTopicSpecBuilder().withPartitions(defaultPartitionCount).build());
KafkaTopicScalabilityUtils.waitForTopicsReady(clusterOperator.getDeploymentNamespace(), topicPrefix, NUMBER_OF_TOPICS);
}
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