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Posted to commits@kafka.apache.org by rs...@apache.org on 2018/04/17 13:46:35 UTC
[kafka] branch trunk updated: KAFKA-6765: Handle exception while
reading throttle metric value in test (#4869)
This is an automated email from the ASF dual-hosted git repository.
rsivaram pushed a commit to branch trunk
in repository https://gitbox.apache.org/repos/asf/kafka.git
The following commit(s) were added to refs/heads/trunk by this push:
new e5de679 KAFKA-6765: Handle exception while reading throttle metric value in test (#4869)
e5de679 is described below
commit e5de679d62f734eb1cdfc91c863107b64cd630b6
Author: Rajini Sivaram <ra...@googlemail.com>
AuthorDate: Tue Apr 17 14:46:28 2018 +0100
KAFKA-6765: Handle exception while reading throttle metric value in test (#4869)
Quota tests wait for throttle metric to be updated without waiting for requests to complete to avoid waiting for potentially large throttle times. This requires the test to read metric values while a broker may be updating the value, resulting in exception in the test. Since this issue can also occur with JMX metrics reporter, change synchronization on metrics with sensors to use the sensor as lock.
---
.../org/apache/kafka/common/metrics/Metrics.java | 6 +-
.../org/apache/kafka/common/metrics/Sensor.java | 12 +-
.../apache/kafka/common/metrics/MetricsTest.java | 135 ++++++++++++++++++++-
3 files changed, 146 insertions(+), 7 deletions(-)
diff --git a/clients/src/main/java/org/apache/kafka/common/metrics/Metrics.java b/clients/src/main/java/org/apache/kafka/common/metrics/Metrics.java
index ea18cd3..dee69f5 100644
--- a/clients/src/main/java/org/apache/kafka/common/metrics/Metrics.java
+++ b/clients/src/main/java/org/apache/kafka/common/metrics/Metrics.java
@@ -487,7 +487,8 @@ public class Metrics implements Closeable {
/**
* Add a metric to monitor an object that implements MetricValueProvider. This metric won't be associated with any
- * sensor. This is a way to expose existing values as metrics.
+ * sensor. This is a way to expose existing values as metrics. User is expected to add any additional
+ * synchronization to update and access metric values, if required.
*
* @param metricName The name of the metric
* @param metricValueProvider The metric value provider associated with this metric
@@ -503,7 +504,8 @@ public class Metrics implements Closeable {
/**
* Add a metric to monitor an object that implements MetricValueProvider. This metric won't be associated with any
- * sensor. This is a way to expose existing values as metrics.
+ * sensor. This is a way to expose existing values as metrics. User is expected to add any additional
+ * synchronization to update and access metric values, if required.
*
* @param metricName The name of the metric
* @param metricValueProvider The metric value provider associated with this metric
diff --git a/clients/src/main/java/org/apache/kafka/common/metrics/Sensor.java b/clients/src/main/java/org/apache/kafka/common/metrics/Sensor.java
index 22f273d..e4bf1ae 100644
--- a/clients/src/main/java/org/apache/kafka/common/metrics/Sensor.java
+++ b/clients/src/main/java/org/apache/kafka/common/metrics/Sensor.java
@@ -229,7 +229,7 @@ public final class Sensor {
return false;
this.stats.add(Utils.notNull(stat));
- Object lock = new Object();
+ Object lock = metricLock(stat);
for (NamedMeasurable m : stat.stats()) {
final KafkaMetric metric = new KafkaMetric(lock, m.name(), m.stat(), config == null ? this.config : config, time);
if (!metrics.containsKey(metric.metricName())) {
@@ -265,7 +265,7 @@ public final class Sensor {
return true;
} else {
final KafkaMetric metric = new KafkaMetric(
- new Object(),
+ metricLock(stat),
Utils.notNull(metricName),
Utils.notNull(stat),
config == null ? this.config : config,
@@ -289,4 +289,12 @@ public final class Sensor {
synchronized List<KafkaMetric> metrics() {
return Collections.unmodifiableList(new LinkedList<>(this.metrics.values()));
}
+
+ /**
+ * KafkaMetrics of sensors which use SampledStat should be synchronized on the Sensor object
+ * to allow concurrent reads and updates. For simplicity, all sensors are synchronized on Sensor.
+ */
+ private Object metricLock(Stat stat) {
+ return this;
+ }
}
diff --git a/clients/src/test/java/org/apache/kafka/common/metrics/MetricsTest.java b/clients/src/test/java/org/apache/kafka/common/metrics/MetricsTest.java
index 55f8e23..6acc39d 100644
--- a/clients/src/test/java/org/apache/kafka/common/metrics/MetricsTest.java
+++ b/clients/src/test/java/org/apache/kafka/common/metrics/MetricsTest.java
@@ -24,9 +24,16 @@ import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;
import java.util.Arrays;
+import java.util.Collections;
+import java.util.Deque;
import java.util.HashMap;
import java.util.Map;
+import java.util.Random;
+import java.util.concurrent.ConcurrentLinkedDeque;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
+import java.util.concurrent.atomic.AtomicBoolean;
import org.apache.kafka.common.Metric;
import org.apache.kafka.common.MetricName;
@@ -39,8 +46,10 @@ import org.apache.kafka.common.metrics.stats.Percentile;
import org.apache.kafka.common.metrics.stats.Percentiles;
import org.apache.kafka.common.metrics.stats.Percentiles.BucketSizing;
import org.apache.kafka.common.metrics.stats.Rate;
-import org.apache.kafka.common.metrics.stats.Total;
import org.apache.kafka.common.metrics.stats.SimpleRate;
+import org.apache.kafka.common.metrics.stats.Sum;
+import org.apache.kafka.common.metrics.stats.Total;
+import org.apache.kafka.common.metrics.stats.Value;
import org.apache.kafka.common.utils.MockTime;
import org.junit.After;
import org.junit.Before;
@@ -53,6 +62,7 @@ public class MetricsTest {
private MockTime time = new MockTime();
private MetricConfig config = new MetricConfig();
private Metrics metrics;
+ private ExecutorService executorService;
@Before
public void setup() {
@@ -60,7 +70,11 @@ public class MetricsTest {
}
@After
- public void tearDown() {
+ public void tearDown() throws Exception {
+ if (executorService != null) {
+ executorService.shutdownNow();
+ executorService.awaitTermination(5, TimeUnit.SECONDS);
+ }
this.metrics.close();
}
@@ -588,9 +602,124 @@ public class MetricsTest {
// this is expected
}
}
+ }
+
+ @Test
+ public void testConcurrentAccess() throws Exception {
+ final Random random = new Random();
+ final Deque<Sensor> sensors = new ConcurrentLinkedDeque<>();
+ metrics = new Metrics(new MockTime(10));
+ SensorCreator sensorCreator = new SensorCreator(metrics);
+
+ final AtomicBoolean alive = new AtomicBoolean(true);
+ executorService = Executors.newSingleThreadExecutor();
+ executorService.submit(new Runnable() {
+ @Override
+ public void run() {
+ while (alive.get()) {
+ for (Sensor sensor : sensors) {
+ sensor.record(random.nextInt(10000));
+ }
+ }
+ }
+ });
+ for (int i = 0; i < 10000; i++) {
+ if (sensors.size() > 5) {
+ Sensor sensor = random.nextBoolean() ? sensors.removeFirst() : sensors.removeLast();
+ metrics.removeSensor(sensor.name());
+ }
+ StatType statType = StatType.forId(random.nextInt(StatType.values().length));
+ sensors.add(sensorCreator.createSensor(statType, i));
+ for (Sensor sensor : sensors) {
+ for (KafkaMetric metric : sensor.metrics()) {
+ assertNotNull("Invalid metric value", metric.metricValue());
+ }
+ }
+ }
+ alive.set(false);
}
-
+ enum StatType {
+ AVG(0),
+ TOTAL(1),
+ COUNT(2),
+ MAX(3),
+ MIN(4),
+ RATE(5),
+ SIMPLE_RATE(6),
+ SUM(7),
+ VALUE(8),
+ PERCENTILES(9),
+ METER(10);
+
+ int id;
+ StatType(int id) {
+ this.id = id;
+ }
+ static StatType forId(int id) {
+ for (StatType statType : StatType.values()) {
+ if (statType.id == id)
+ return statType;
+ }
+ return null;
+ }
+ }
+
+ private static class SensorCreator {
+
+ private final Metrics metrics;
+
+ SensorCreator(Metrics metrics) {
+ this.metrics = metrics;
+ }
+
+ private Sensor createSensor(StatType statType, int index) {
+ Sensor sensor = metrics.sensor("kafka.requests");
+ Map<String, String> tags = Collections.singletonMap("tag", "tag" + index);
+ switch (statType) {
+ case AVG:
+ sensor.add(metrics.metricName("test.metric.avg", "avg", tags), new Avg());
+ break;
+ case TOTAL:
+ sensor.add(metrics.metricName("test.metric.total", "total", tags), new Total());
+ break;
+ case COUNT:
+ sensor.add(metrics.metricName("test.metric.count", "count", tags), new Count());
+ break;
+ case MAX:
+ sensor.add(metrics.metricName("test.metric.max", "max", tags), new Max());
+ break;
+ case MIN:
+ sensor.add(metrics.metricName("test.metric.min", "min", tags), new Min());
+ break;
+ case RATE:
+ sensor.add(metrics.metricName("test.metric.rate", "rate", tags), new Rate());
+ break;
+ case SIMPLE_RATE:
+ sensor.add(metrics.metricName("test.metric.simpleRate", "simpleRate", tags), new SimpleRate());
+ break;
+ case SUM:
+ sensor.add(metrics.metricName("test.metric.sum", "sum", tags), new Sum());
+ break;
+ case VALUE:
+ sensor.add(metrics.metricName("test.metric.value", "value", tags), new Value());
+ break;
+ case PERCENTILES:
+ sensor.add(metrics.metricName("test.metric.percentiles", "percentiles", tags),
+ new Percentiles(100, -100, 100, Percentiles.BucketSizing.CONSTANT,
+ new Percentile(metrics.metricName("test.median", "percentiles"), 50.0),
+ new Percentile(metrics.metricName("test.perc99_9", "percentiles"), 99.9)));
+ break;
+ case METER:
+ sensor.add(new Meter(metrics.metricName("test.metric.meter.rate", "meter", tags),
+ metrics.metricName("test.metric.meter.total", "meter", tags)));
+ break;
+ default:
+ throw new IllegalStateException("Invalid stat type " + statType);
+ }
+ return sensor;
+ }
+ }
}
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