use of org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup in project apache-kafka-on-k8s by banzaicloud.
the class WorkerTest method assertStartupStatistics.
private void assertStartupStatistics(Worker worker, int connectorStartupAttempts, int connectorStartupFailures, int taskStartupAttempts, int taskStartupFailures) {
double connectStartupSuccesses = connectorStartupAttempts - connectorStartupFailures;
double taskStartupSuccesses = taskStartupAttempts - taskStartupFailures;
double connectStartupSuccessPct = 0.0d;
double connectStartupFailurePct = 0.0d;
double taskStartupSuccessPct = 0.0d;
double taskStartupFailurePct = 0.0d;
if (connectorStartupAttempts != 0) {
connectStartupSuccessPct = connectStartupSuccesses / connectorStartupAttempts;
connectStartupFailurePct = (double) connectorStartupFailures / connectorStartupAttempts;
}
if (taskStartupAttempts != 0) {
taskStartupSuccessPct = taskStartupSuccesses / taskStartupAttempts;
taskStartupFailurePct = (double) taskStartupFailures / taskStartupAttempts;
}
MetricGroup workerMetrics = worker.workerMetricsGroup().metricGroup();
assertEquals(connectorStartupAttempts, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "connector-startup-attempts-total"), 0.0001d);
assertEquals(connectStartupSuccesses, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "connector-startup-success-total"), 0.0001d);
assertEquals(connectorStartupFailures, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "connector-startup-failure-total"), 0.0001d);
assertEquals(connectStartupSuccessPct, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "connector-startup-success-percentage"), 0.0001d);
assertEquals(connectStartupFailurePct, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "connector-startup-failure-percentage"), 0.0001d);
assertEquals(taskStartupAttempts, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "task-startup-attempts-total"), 0.0001d);
assertEquals(taskStartupSuccesses, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "task-startup-success-total"), 0.0001d);
assertEquals(taskStartupFailures, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "task-startup-failure-total"), 0.0001d);
assertEquals(taskStartupSuccessPct, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "task-startup-success-percentage"), 0.0001d);
assertEquals(taskStartupFailurePct, MockConnectMetrics.currentMetricValueAsDouble(worker.metrics(), workerMetrics, "task-startup-failure-percentage"), 0.0001d);
}
use of org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup in project apache-kafka-on-k8s by banzaicloud.
the class DistributedHerderTest method assertStatistics.
private void assertStatistics(String expectedLeader, boolean isRebalancing, int expectedEpoch, int completedRebalances, double rebalanceTime, double millisSinceLastRebalance) {
HerderMetrics herderMetrics = herder.herderMetrics();
MetricGroup group = herderMetrics.metricGroup();
double epoch = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "epoch");
String leader = MockConnectMetrics.currentMetricValueAsString(metrics, group, "leader-name");
double rebalanceCompletedTotal = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "completed-rebalances-total");
double rebalancing = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "rebalancing");
double rebalanceTimeMax = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "rebalance-max-time-ms");
double rebalanceTimeAvg = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "rebalance-avg-time-ms");
double rebalanceTimeSinceLast = MockConnectMetrics.currentMetricValueAsDouble(metrics, group, "time-since-last-rebalance-ms");
assertEquals(expectedEpoch, epoch, 0.0001d);
assertEquals(expectedLeader, leader);
assertEquals(completedRebalances, rebalanceCompletedTotal, 0.0001d);
assertEquals(isRebalancing ? 1.0d : 0.0d, rebalancing, 0.0001d);
assertEquals(millisSinceLastRebalance, rebalanceTimeSinceLast, 0.0001d);
if (rebalanceTime <= 0L) {
assertEquals(Double.NEGATIVE_INFINITY, rebalanceTimeMax, 0.0001d);
assertEquals(0.0d, rebalanceTimeAvg, 0.0001d);
} else {
assertEquals(rebalanceTime, rebalanceTimeMax, 0.0001d);
assertEquals(rebalanceTime, rebalanceTimeAvg, 0.0001d);
}
}
use of org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup in project apache-kafka-on-k8s by banzaicloud.
the class ConnectMetricsTest method testGettingGroupWithTags.
@Test
public void testGettingGroupWithTags() {
MetricGroup group1 = metrics.group("name", "k1", "v1", "k2", "v2");
assertEquals("v1", group1.tags().get("k1"));
assertEquals("v2", group1.tags().get("k2"));
assertEquals(2, group1.tags().size());
}
use of org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup in project apache-kafka-on-k8s by banzaicloud.
the class WorkerConnectorTest method assertInitializedMetric.
protected void assertInitializedMetric(WorkerConnector workerConnector) {
assertTrue(workerConnector.metrics().isUnassigned());
assertFalse(workerConnector.metrics().isFailed());
assertFalse(workerConnector.metrics().isPaused());
assertFalse(workerConnector.metrics().isRunning());
MetricGroup metricGroup = workerConnector.metrics().metricGroup();
String status = metrics.currentMetricValueAsString(metricGroup, "status");
String type = metrics.currentMetricValueAsString(metricGroup, "connector-type");
String clazz = metrics.currentMetricValueAsString(metricGroup, "connector-class");
String version = metrics.currentMetricValueAsString(metricGroup, "connector-version");
assertEquals(type, "unknown");
assertNotNull(clazz);
assertEquals(VERSION, version);
}
use of org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup in project apache-kafka-on-k8s by banzaicloud.
the class WorkerSinkTaskTest method sinkMetricValue.
private double sinkMetricValue(String metricName) {
MetricGroup sinkTaskGroup = workerTask.sinkTaskMetricsGroup().metricGroup();
double value = metrics.currentMetricValueAsDouble(sinkTaskGroup, metricName);
System.out.println("** " + metricName + "=" + value);
return value;
}
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