use of org.apache.kafka.common.metrics.stats.CumulativeSum in project kafka by apache.
the class MetricsTest method testQuotas.
@Test
public void testQuotas() {
Sensor sensor = metrics.sensor("test");
sensor.add(metrics.metricName("test1.total", "grp1"), new CumulativeSum(), new MetricConfig().quota(Quota.upperBound(5.0)));
sensor.add(metrics.metricName("test2.total", "grp1"), new CumulativeSum(), new MetricConfig().quota(Quota.lowerBound(0.0)));
sensor.record(5.0);
try {
sensor.record(1.0);
fail("Should have gotten a quota violation.");
} catch (QuotaViolationException e) {
// this is good
}
assertEquals(6.0, (Double) metrics.metrics().get(metrics.metricName("test1.total", "grp1")).metricValue(), EPS);
sensor.record(-6.0);
try {
sensor.record(-1.0);
fail("Should have gotten a quota violation.");
} catch (QuotaViolationException e) {
// this is good
}
}
use of org.apache.kafka.common.metrics.stats.CumulativeSum in project kafka by apache.
the class MetricsTest method testDuplicateMetricName.
@Test
public void testDuplicateMetricName() {
metrics.sensor("test").add(metrics.metricName("test", "grp1"), new Avg());
assertThrows(IllegalArgumentException.class, () -> metrics.sensor("test2").add(metrics.metricName("test", "grp1"), new CumulativeSum()));
}
use of org.apache.kafka.common.metrics.stats.CumulativeSum in project kafka by apache.
the class MetricsTest method verifyStats.
private void verifyStats(Function<KafkaMetric, Double> metricValueFunc) {
ConstantMeasurable measurable = new ConstantMeasurable();
metrics.addMetric(metrics.metricName("direct.measurable", "grp1", "The fraction of time an appender waits for space allocation."), measurable);
Sensor s = metrics.sensor("test.sensor");
s.add(metrics.metricName("test.avg", "grp1"), new Avg());
s.add(metrics.metricName("test.max", "grp1"), new Max());
s.add(metrics.metricName("test.min", "grp1"), new Min());
s.add(new Meter(TimeUnit.SECONDS, metrics.metricName("test.rate", "grp1"), metrics.metricName("test.total", "grp1")));
s.add(new Meter(TimeUnit.SECONDS, new WindowedCount(), metrics.metricName("test.occurences", "grp1"), metrics.metricName("test.occurences.total", "grp1")));
s.add(metrics.metricName("test.count", "grp1"), new WindowedCount());
s.add(new Percentiles(100, -100, 100, BucketSizing.CONSTANT, new Percentile(metrics.metricName("test.median", "grp1"), 50.0), new Percentile(metrics.metricName("test.perc99_9", "grp1"), 99.9)));
Sensor s2 = metrics.sensor("test.sensor2");
s2.add(metrics.metricName("s2.total", "grp1"), new CumulativeSum());
s2.record(5.0);
int sum = 0;
int count = 10;
for (int i = 0; i < count; i++) {
s.record(i);
sum += i;
}
// prior to any time passing
double elapsedSecs = (config.timeWindowMs() * (config.samples() - 1)) / 1000.0;
assertEquals(count / elapsedSecs, metricValueFunc.apply(metrics.metrics().get(metrics.metricName("test.occurences", "grp1"))), EPS, String.format("Occurrences(0...%d) = %f", count, count / elapsedSecs));
// pretend 2 seconds passed...
long sleepTimeMs = 2;
time.sleep(sleepTimeMs * 1000);
elapsedSecs += sleepTimeMs;
assertEquals(5.0, metricValueFunc.apply(metrics.metric(metrics.metricName("s2.total", "grp1"))), EPS, "s2 reflects the constant value");
assertEquals(4.5, metricValueFunc.apply(metrics.metric(metrics.metricName("test.avg", "grp1"))), EPS, "Avg(0...9) = 4.5");
assertEquals(count - 1, metricValueFunc.apply(metrics.metric(metrics.metricName("test.max", "grp1"))), EPS, "Max(0...9) = 9");
assertEquals(0.0, metricValueFunc.apply(metrics.metric(metrics.metricName("test.min", "grp1"))), EPS, "Min(0...9) = 0");
assertEquals(sum / elapsedSecs, metricValueFunc.apply(metrics.metric(metrics.metricName("test.rate", "grp1"))), EPS, "Rate(0...9) = 1.40625");
assertEquals(count / elapsedSecs, metricValueFunc.apply(metrics.metric(metrics.metricName("test.occurences", "grp1"))), EPS, String.format("Occurrences(0...%d) = %f", count, count / elapsedSecs));
assertEquals(count, metricValueFunc.apply(metrics.metric(metrics.metricName("test.count", "grp1"))), EPS, "Count(0...9) = 10");
}
use of org.apache.kafka.common.metrics.stats.CumulativeSum in project kafka by apache.
the class JmxReporterTest method testPredicateAndDynamicReload.
@Test
public void testPredicateAndDynamicReload() throws Exception {
Metrics metrics = new Metrics();
MBeanServer server = ManagementFactory.getPlatformMBeanServer();
Map<String, String> configs = new HashMap<>();
configs.put(JmxReporter.EXCLUDE_CONFIG, JmxReporter.getMBeanName("", metrics.metricName("pack.bean2.total", "grp2")));
try {
JmxReporter reporter = new JmxReporter();
reporter.configure(configs);
metrics.addReporter(reporter);
Sensor sensor = metrics.sensor("kafka.requests");
sensor.add(metrics.metricName("pack.bean2.avg", "grp1"), new Avg());
sensor.add(metrics.metricName("pack.bean2.total", "grp2"), new CumulativeSum());
sensor.record();
assertTrue(server.isRegistered(new ObjectName(":type=grp1")));
assertEquals(1.0, server.getAttribute(new ObjectName(":type=grp1"), "pack.bean2.avg"));
assertFalse(server.isRegistered(new ObjectName(":type=grp2")));
sensor.record();
configs.put(JmxReporter.EXCLUDE_CONFIG, JmxReporter.getMBeanName("", metrics.metricName("pack.bean2.avg", "grp1")));
reporter.reconfigure(configs);
assertFalse(server.isRegistered(new ObjectName(":type=grp1")));
assertTrue(server.isRegistered(new ObjectName(":type=grp2")));
assertEquals(2.0, server.getAttribute(new ObjectName(":type=grp2"), "pack.bean2.total"));
metrics.removeMetric(metrics.metricName("pack.bean2.total", "grp2"));
assertFalse(server.isRegistered(new ObjectName(":type=grp2")));
} finally {
metrics.close();
}
}
use of org.apache.kafka.common.metrics.stats.CumulativeSum in project kafka by apache.
the class JmxReporterTest method testJmxRegistrationSanitization.
@Test
public void testJmxRegistrationSanitization() throws Exception {
Metrics metrics = new Metrics();
MBeanServer server = ManagementFactory.getPlatformMBeanServer();
try {
metrics.addReporter(new JmxReporter());
Sensor sensor = metrics.sensor("kafka.requests");
sensor.add(metrics.metricName("name", "group", "desc", "id", "foo*"), new CumulativeSum());
sensor.add(metrics.metricName("name", "group", "desc", "id", "foo+"), new CumulativeSum());
sensor.add(metrics.metricName("name", "group", "desc", "id", "foo?"), new CumulativeSum());
sensor.add(metrics.metricName("name", "group", "desc", "id", "foo:"), new CumulativeSum());
sensor.add(metrics.metricName("name", "group", "desc", "id", "foo%"), new CumulativeSum());
assertTrue(server.isRegistered(new ObjectName(":type=group,id=\"foo\\*\"")));
assertEquals(0.0, server.getAttribute(new ObjectName(":type=group,id=\"foo\\*\""), "name"));
assertTrue(server.isRegistered(new ObjectName(":type=group,id=\"foo+\"")));
assertEquals(0.0, server.getAttribute(new ObjectName(":type=group,id=\"foo+\""), "name"));
assertTrue(server.isRegistered(new ObjectName(":type=group,id=\"foo\\?\"")));
assertEquals(0.0, server.getAttribute(new ObjectName(":type=group,id=\"foo\\?\""), "name"));
assertTrue(server.isRegistered(new ObjectName(":type=group,id=\"foo:\"")));
assertEquals(0.0, server.getAttribute(new ObjectName(":type=group,id=\"foo:\""), "name"));
assertTrue(server.isRegistered(new ObjectName(":type=group,id=foo%")));
assertEquals(0.0, server.getAttribute(new ObjectName(":type=group,id=foo%"), "name"));
metrics.removeMetric(metrics.metricName("name", "group", "desc", "id", "foo*"));
metrics.removeMetric(metrics.metricName("name", "group", "desc", "id", "foo+"));
metrics.removeMetric(metrics.metricName("name", "group", "desc", "id", "foo?"));
metrics.removeMetric(metrics.metricName("name", "group", "desc", "id", "foo:"));
metrics.removeMetric(metrics.metricName("name", "group", "desc", "id", "foo%"));
assertFalse(server.isRegistered(new ObjectName(":type=group,id=\"foo\\*\"")));
assertFalse(server.isRegistered(new ObjectName(":type=group,id=foo+")));
assertFalse(server.isRegistered(new ObjectName(":type=group,id=\"foo\\?\"")));
assertFalse(server.isRegistered(new ObjectName(":type=group,id=\"foo:\"")));
assertFalse(server.isRegistered(new ObjectName(":type=group,id=foo%")));
} finally {
metrics.close();
}
}
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