Examples with KafkaCruiseControlConfig com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig used on opensource projects

Example 1 with KafkaCruiseControlConfig

use of com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig in project cruise-control by linkedin.

the class AbstractGoal method configure.

@Override
public void configure(Map<String, ?> configs) {
    _balancingConstraint = new BalancingConstraint(new KafkaCruiseControlConfig(configs, false));
    String numWindowsString = (String) configs.get(KafkaCruiseControlConfig.NUM_METRICS_WINDOWS_CONFIG);
    if (numWindowsString != null && !numWindowsString.isEmpty()) {
        _numWindows = Integer.parseInt(numWindowsString);
    }
    String minMonitoredPartitionPercentageString = (String) configs.get(KafkaCruiseControlConfig.MIN_VALID_PARTITION_RATIO_CONFIG);
    if (minMonitoredPartitionPercentageString != null && !minMonitoredPartitionPercentageString.isEmpty()) {
        _minMonitoredPartitionPercentage = Double.parseDouble(minMonitoredPartitionPercentageString);
    }
}

Example 2 with KafkaCruiseControlConfig

use of com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig in project cruise-control by linkedin.

the class KafkaMetricSampleAggregatorTest method setupScenario4.

/**
 * 3 Topics with 2 partitions each.
 * T0P1 has all the windows with AVG_AVAILABLE as extrapolations.
 * T1P1 misses window 6000 (index=5), 7000 (index=6)
 * All other partitions have full data.
 */
private TestContext setupScenario4() {
    TopicPartition t0p1 = new TopicPartition(TOPIC, 1);
    TopicPartition t1p0 = new TopicPartition("TOPIC1", 0);
    TopicPartition t1p1 = new TopicPartition("TOPIC1", 1);
    TopicPartition t2p0 = new TopicPartition("TOPIC2", 0);
    TopicPartition t2p1 = new TopicPartition("TOPIC2", 1);
    List<TopicPartition> allPartitions = Arrays.asList(TP, t0p1, t1p0, t1p1, t2p0, t2p1);
    KafkaCruiseControlConfig config = new KafkaCruiseControlConfig(getLoadMonitorProperties());
    Metadata metadata = getMetadata(allPartitions);
    KafkaMetricSampleAggregator aggregator = new KafkaMetricSampleAggregator(config, metadata);
    for (TopicPartition tp : Arrays.asList(TP, t1p0, t2p0, t2p1)) {
        populateSampleAggregator(NUM_WINDOWS + 1, MIN_SAMPLES_PER_WINDOW, aggregator, tp);
    }
    // Let t0p1 have too many extrapolationss.
    populateSampleAggregator(NUM_WINDOWS + 1, MIN_SAMPLES_PER_WINDOW - 1, aggregator, t0p1);
    // let t1p1 miss another earlier window
    populateSampleAggregator(5, MIN_SAMPLES_PER_WINDOW, aggregator, t1p1);
    CruiseControlUnitTestUtils.populateSampleAggregator(NUM_WINDOWS - 6, MIN_SAMPLES_PER_WINDOW, aggregator, new PartitionEntity(t1p1), 7, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    return new TestContext(metadata, aggregator);
}

Example 3 with KafkaCruiseControlConfig

use of com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig in project cruise-control by linkedin.

the class KafkaMetricSampleAggregatorTest method testFallbackToAvgAdjacent.

@Test
public void testFallbackToAvgAdjacent() throws NotEnoughValidWindowsException {
    KafkaCruiseControlConfig config = new KafkaCruiseControlConfig(getLoadMonitorProperties());
    TopicPartition anotherTopicPartition = new TopicPartition("AnotherTopic", 1);
    PartitionEntity anotherPartitionEntity = new PartitionEntity(anotherTopicPartition);
    Metadata metadata = getMetadata(Arrays.asList(TP, anotherTopicPartition));
    KafkaMetricSampleAggregator metricSampleAggregator = new KafkaMetricSampleAggregator(config, metadata);
    // Only give one sample to the aggregator for previous period.
    populateSampleAggregator(NUM_WINDOWS, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator);
    // Create let (NUM_SNAPSHOT + 1) have enough samples.
    CruiseControlUnitTestUtils.populateSampleAggregator(1, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator, PE, NUM_WINDOWS, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    // Let a snapshot window exist but not containing samples for partition 0
    CruiseControlUnitTestUtils.populateSampleAggregator(1, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator, anotherPartitionEntity, NUM_WINDOWS + 1, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    // Let the rest of the snapshot has enough samples.
    CruiseControlUnitTestUtils.populateSampleAggregator(2, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator, PE, NUM_WINDOWS + 2, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    MetricSampleAggregationResult<String, PartitionEntity> result = metricSampleAggregator.aggregate(clusterAndGeneration(metadata.fetch()), NUM_WINDOWS * WINDOW_MS * 2, new OperationProgress());
    int numSnapshots = result.valuesAndExtrapolations().get(PE).metricValues().length();
    assertEquals(NUM_WINDOWS, numSnapshots);
    int numExtrapolationss = 0;
    for (Map.Entry<Integer, Extrapolation> entry : result.valuesAndExtrapolations().get(PE).extrapolations().entrySet()) {
        assertEquals(Extrapolation.AVG_ADJACENT, entry.getValue());
        numExtrapolationss++;
    }
    assertEquals(1, numExtrapolationss);
}

Example 4 with KafkaCruiseControlConfig

use of com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig in project cruise-control by linkedin.

the class KafkaMetricSampleAggregatorTest method testSnapshotWithPartitionExtrapolations.

@Test
public void testSnapshotWithPartitionExtrapolations() throws NotEnoughValidWindowsException {
    KafkaCruiseControlConfig config = new KafkaCruiseControlConfig(getLoadMonitorProperties());
    Metadata metadata = getMetadata(Collections.singleton(TP));
    KafkaMetricSampleAggregator metricSampleAggregator = new KafkaMetricSampleAggregator(config, metadata);
    TopicPartition tp1 = new TopicPartition(TOPIC, 1);
    Cluster cluster = getCluster(Arrays.asList(TP, tp1));
    PartitionEntity pe1 = new PartitionEntity(tp1);
    metadata.update(cluster, Collections.emptySet(), 1);
    populateSampleAggregator(NUM_WINDOWS + 1, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator);
    // Populate partition 1 but leave 1 hole at NUM_SNAPSHOT'th window.
    CruiseControlUnitTestUtils.populateSampleAggregator(NUM_WINDOWS - 2, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator, pe1, 0, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    CruiseControlUnitTestUtils.populateSampleAggregator(2, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator, pe1, NUM_WINDOWS - 1, WINDOW_MS, KafkaCruiseControlMetricDef.metricDef());
    MetricSampleAggregationResult<String, PartitionEntity> result = metricSampleAggregator.aggregate(clusterAndGeneration(cluster), Long.MAX_VALUE, new OperationProgress());
    assertEquals(2, result.valuesAndExtrapolations().size());
    assertTrue(result.valuesAndExtrapolations().get(PE).extrapolations().isEmpty());
    assertEquals(1, result.valuesAndExtrapolations().get(pe1).extrapolations().size());
    assertTrue(result.valuesAndExtrapolations().get(pe1).extrapolations().containsKey(1));
    assertEquals((NUM_WINDOWS - 1) * WINDOW_MS, result.valuesAndExtrapolations().get(pe1).window(1));
    assertEquals(Extrapolation.AVG_ADJACENT, result.valuesAndExtrapolations().get(pe1).extrapolations().get(1));
}

Example 5 with KafkaCruiseControlConfig

use of com.linkedin.kafka.cruisecontrol.config.KafkaCruiseControlConfig in project cruise-control by linkedin.

the class KafkaMetricSampleAggregatorTest method testRecentSnapshot.

@Test
public void testRecentSnapshot() throws NotEnoughValidWindowsException {
    KafkaCruiseControlConfig config = new KafkaCruiseControlConfig(getLoadMonitorProperties());
    Metadata metadata = getMetadata(Collections.singleton(TP));
    KafkaMetricSampleAggregator metricSampleAggregator = new KafkaMetricSampleAggregator(config, metadata);
    populateSampleAggregator(NUM_WINDOWS + 1, MIN_SAMPLES_PER_WINDOW, metricSampleAggregator);
    MetricSampleAggregationResult<String, PartitionEntity> result = metricSampleAggregator.aggregate(clusterAndGeneration(metadata.fetch()), Long.MAX_VALUE, new OperationProgress());
    Map<PartitionEntity, ValuesAndExtrapolations> snapshotsForPartition = result.valuesAndExtrapolations();
    assertEquals("The snapshots should only have one partition", 1, snapshotsForPartition.size());
    ValuesAndExtrapolations snapshots = snapshotsForPartition.get(PE);
    assertNotNull(snapshots);
    assertEquals(NUM_WINDOWS, snapshots.metricValues().length());
    for (int i = 0; i < NUM_WINDOWS; i++) {
        assertEquals((NUM_WINDOWS - i) * WINDOW_MS, result.valuesAndExtrapolations().get(PE).window(i));
        for (Resource resource : Resource.values()) {
            double expectedValue = resource == Resource.DISK ? (NUM_WINDOWS - 1 - i) * 10 + MIN_SAMPLES_PER_WINDOW - 1 : (NUM_WINDOWS - 1 - i) * 10 + (MIN_SAMPLES_PER_WINDOW - 1) / 2.0;
            assertEquals("The utilization for " + resource + " should be " + expectedValue, expectedValue, snapshots.metricValues().valuesFor(KafkaCruiseControlMetricDef.resourceToMetricId(resource)).get(i), 0);
        }
    }
    // Verify the metric completeness checker state
    MetadataClient.ClusterAndGeneration clusterAndGeneration = new MetadataClient.ClusterAndGeneration(metadata.fetch(), 1);
    assertEquals(NUM_WINDOWS, metricSampleAggregator.validWindows(clusterAndGeneration, 1.0).size());
    Map<Long, Float> monitoredPercentages = metricSampleAggregator.partitionCoverageByWindows(clusterAndGeneration);
    for (double percentage : monitoredPercentages.values()) {
        assertEquals(1.0, percentage, 0.0);
    }
    assertEquals(NUM_WINDOWS, metricSampleAggregator.availableWindows().size());
}