Examples with MetricTimeSeries co.cask.cdap.api.metrics.MetricTimeSeries used on opensource projects

Example 21 with MetricTimeSeries

use of co.cask.cdap.api.metrics.MetricTimeSeries in project cdap by caskdata.

the class MetricsProcessorServiceTest method testMetricsProcessor.

@Test
public void testMetricsProcessor() throws Exception {
    injector.getInstance(TransactionManager.class).startAndWait();
    injector.getInstance(DatasetOpExecutor.class).startAndWait();
    injector.getInstance(DatasetService.class).startAndWait();
    zkServer = InMemoryZKServer.builder().build();
    zkServer.startAndWait();
    Properties kafkaConfig = generateKafkaConfig(tmpFolder1);
    EmbeddedKafkaServer kafkaServer = new EmbeddedKafkaServer(kafkaConfig);
    kafkaServer.startAndWait();
    ZKClientService zkClient = ZKClientService.Builder.of(zkServer.getConnectionStr()).build();
    zkClient.startAndWait();
    KafkaClientService kafkaClient = new ZKKafkaClientService(zkClient);
    kafkaClient.startAndWait();
    final MetricStore metricStore = injector.getInstance(MetricStore.class);
    Set<Integer> partitions = new HashSet<>();
    for (int i = 0; i < PARTITION_SIZE; i++) {
        partitions.add(i);
    }
    KafkaPublisher publisher = kafkaClient.getPublisher(KafkaPublisher.Ack.FIRE_AND_FORGET, Compression.SNAPPY);
    final KafkaPublisher.Preparer preparer = publisher.prepare(TOPIC_PREFIX);
    // Wait for metrics to be successfully published to Kafka. Retry if publishing fails.
    Tasks.waitFor(true, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            return publishKafkaMetrics(METRICS_CONTEXT, expected, preparer);
        }
    }, 15, TimeUnit.SECONDS, "Failed to publish correct number of metrics to Kafka");
    // Start KafkaMetricsProcessorService after metrics are published to Kafka
    KafkaMetricsProcessorService kafkaMetricsProcessorService = new KafkaMetricsProcessorService(kafkaClient, injector.getInstance(MetricDatasetFactory.class), new MetricsMessageCallbackFactory(injector.getInstance(SchemaGenerator.class), injector.getInstance(DatumReaderFactory.class), metricStore, 4), TOPIC_PREFIX, partitions, new NoopMetricsContext());
    kafkaMetricsProcessorService.startAndWait();
    // Intentionally set queue size to a small value, so that MessagingMetricsProcessorService
    // internally can persist metrics when more messages are to be fetched
    MessagingMetricsProcessorService messagingMetricsProcessorService = new MessagingMetricsProcessorService(injector.getInstance(MetricDatasetFactory.class), TOPIC_PREFIX, messagingService, injector.getInstance(SchemaGenerator.class), injector.getInstance(DatumReaderFactory.class), metricStore, 1000L, 5, partitions, new NoopMetricsContext(), 50, 0);
    messagingMetricsProcessorService.startAndWait();
    long startTime = TimeUnit.MILLISECONDS.toSeconds(System.currentTimeMillis());
    // Publish metrics with messaging service and record expected metrics
    for (int i = 10; i < 20; i++) {
        publishMessagingMetrics(i, startTime, METRICS_CONTEXT, expected, SYSTEM_METRIC_PREFIX, MetricType.COUNTER);
    }
    Thread.sleep(500);
    // Stop and restart messagingMetricsProcessorService
    messagingMetricsProcessorService.stopAndWait();
    // Intentionally set queue size to a large value, so that MessagingMetricsProcessorService
    // internally only persists metrics during terminating.
    messagingMetricsProcessorService = new MessagingMetricsProcessorService(injector.getInstance(MetricDatasetFactory.class), TOPIC_PREFIX, messagingService, injector.getInstance(SchemaGenerator.class), injector.getInstance(DatumReaderFactory.class), metricStore, 500L, 100, partitions, new NoopMetricsContext(), 50, 0);
    messagingMetricsProcessorService.startAndWait();
    // Publish metrics after MessagingMetricsProcessorService restarts and record expected metrics
    for (int i = 20; i < 30; i++) {
        publishMessagingMetrics(i, startTime, METRICS_CONTEXT, expected, SYSTEM_METRIC_PREFIX, MetricType.GAUGE);
    }
    final List<String> missingMetricNames = new ArrayList<>();
    // are retrieved when timeout occurs, print out the missing metrics
    try {
        Tasks.waitFor(true, new Callable<Boolean>() {

            @Override
            public Boolean call() throws Exception {
                return canQueryAllMetrics(metricStore, METRICS_CONTEXT, expected, missingMetricNames);
            }
        }, 10000, TimeUnit.MILLISECONDS, "Failed to get all metrics");
    } catch (TimeoutException e) {
        Assert.fail(String.format("Metrics: [%s] cannot be found in the metrics store.", Joiner.on(", ").join(missingMetricNames)));
    }
    // Query metrics from the metricStore and compare them with the expected ones
    assertMetricsResult(metricStore, METRICS_CONTEXT, expected);
    // Query for the 5 counter metrics published with messaging between time 5 - 14
    Collection<MetricTimeSeries> queryResult = metricStore.query(new MetricDataQuery(5, 14, 1, Integer.MAX_VALUE, ImmutableMap.of(SYSTEM_METRIC_PREFIX + COUNTER_METRIC_NAME, AggregationFunction.SUM), METRICS_CONTEXT, ImmutableList.<String>of(), null));
    MetricTimeSeries timeSeries = Iterables.getOnlyElement(queryResult);
    Assert.assertEquals(5, timeSeries.getTimeValues().size());
    for (TimeValue timeValue : timeSeries.getTimeValues()) {
        Assert.assertEquals(1L, timeValue.getValue());
    }
    // Stop services and servers
    kafkaMetricsProcessorService.stopAndWait();
    messagingMetricsProcessorService.stopAndWait();
    kafkaServer.stopAndWait();
    zkServer.stopAndWait();
    // Delete all metrics
    metricStore.deleteAll();
}

Example 22 with MetricTimeSeries

use of co.cask.cdap.api.metrics.MetricTimeSeries in project cdap by caskdata.

the class MetricsQueryHelper method decorate.

private MetricQueryResult decorate(Collection<MetricTimeSeries> series, long startTs, long endTs, int resolution) {
    MetricQueryResult.TimeSeries[] serieses = new MetricQueryResult.TimeSeries[series.size()];
    int i = 0;
    for (MetricTimeSeries timeSeries : series) {
        MetricQueryResult.TimeValue[] timeValues = decorate(timeSeries.getTimeValues());
        serieses[i++] = new MetricQueryResult.TimeSeries(timeSeries.getMetricName(), tagNamesToHuman(timeSeries.getTagValues()), timeValues);
    }
    return new MetricQueryResult(startTs, endTs, serieses, resolution);
}

Example 23 with MetricTimeSeries

use of co.cask.cdap.api.metrics.MetricTimeSeries in project cdap by caskdata.

the class MetricsQueryHelper method executeQuery.

private MetricQueryResult executeQuery(MetricQueryRequest queryRequest) throws Exception {
    if (queryRequest.getMetrics().size() == 0) {
        throw new IllegalArgumentException("Missing metrics parameter in the query");
    }
    Map<String, String> tagsSliceBy = humanToTagNames(transformTagMap(queryRequest.getTags()));
    MetricQueryRequest.TimeRange timeRange = queryRequest.getTimeRange();
    MetricDataQuery query = new MetricDataQuery(timeRange.getStart(), timeRange.getEnd(), timeRange.getResolutionInSeconds(), timeRange.getCount(), toMetrics(queryRequest.getMetrics()), tagsSliceBy, transformGroupByTags(queryRequest.getGroupBy()), timeRange.getInterpolate());
    Collection<MetricTimeSeries> queryResult = metricStore.query(query);
    long endTime = timeRange.getEnd();
    if (timeRange.getResolutionInSeconds() == Integer.MAX_VALUE && endTime == 0) {
        // for aggregate query, we set the end time to be query time (current time)
        endTime = TimeUnit.MILLISECONDS.toSeconds(System.currentTimeMillis());
    }
    return decorate(queryResult, timeRange.getStart(), endTime, timeRange.getResolutionInSeconds());
}

Example 24 with MetricTimeSeries

use of co.cask.cdap.api.metrics.MetricTimeSeries in project cdap by caskdata.

the class DefaultMetricStore method query.

@Override
public Collection<MetricTimeSeries> query(MetricDataQuery query) {
    Collection<TimeSeries> cubeResult = cube.get().query(buildCubeQuery(query));
    List<MetricTimeSeries> result = Lists.newArrayList();
    for (TimeSeries timeSeries : cubeResult) {
        result.add(new MetricTimeSeries(timeSeries.getMeasureName(), timeSeries.getDimensionValues(), timeSeries.getTimeValues()));
    }
    return result;
}