Java Dimension类代码示例

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private double getInstanceAverageLoad(AmazonCloudWatchClient cloudWatchClient, String instanceId) {

        long offsetInMilliseconds = 1000 * 60 * 60;
        GetMetricStatisticsRequest request = new GetMetricStatisticsRequest()
                .withStartTime(new Date(new Date().getTime() - offsetInMilliseconds))
                .withNamespace("AWS/EC2")
                .withPeriod(60 * 60)
                .withDimensions(new Dimension().withName("InstanceId").withValue(instanceId))
                .withMetricName("CPUUtilization")
                .withStatistics("Average", "Maximum")
                .withEndTime(new Date());
        GetMetricStatisticsResult getMetricStatisticsResult = cloudWatchClient.getMetricStatistics(request);

        double avgCPUUtilization = 0;
        List dataPoint = getMetricStatisticsResult.getDatapoints();
        for (Object aDataPoint : dataPoint) {
            Datapoint dp = (Datapoint) aDataPoint;
            avgCPUUtilization = dp.getAverage();
        }

        return avgCPUUtilization;
    }
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
/**
 * Add a metric event to be aggregated.
 * Events with the same name, unit, and dimensions will have their values
 * aggregated into {@link StatisticSet}s, with the aggregated data
 * available via {@link #flush}.
 *
 * @param context Metric context to use for dimension information
 * @param name Metric name
 * @param value Recorded value for the metric event
 * @param unit Unit for interpreting the value
 */
public void add(
        final TypedMap context,
        final Metric name,
        final double value,
        final StandardUnit unit)
{
    //TODO: avoid doing this every time for a context - caching, or?
    List<Dimension> dimensions = dimensionMapper.getDimensions(name, context);

    DatumKey key = new DatumKey(name.toString(), unit, dimensions);
    statisticsMap.merge(
            key,
            new StatisticSet()
                    .withMaximum(value)
                    .withMinimum(value)
                    .withSampleCount(1D)
                    .withSum(value),
            MetricDataAggregator::sum);
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
@Test
public void one_global() throws Exception {
    Metric metric = Metric.define("BarMetric");
    String id = UUID.randomUUID().toString();

    TypedMap context = ContextData.withId(id)
                                  .add(StandardContext.SERVICE, "BarService")
                                  .build();

    DimensionMapper mapper = new DimensionMapper.Builder()
            .addGlobalDimension(ContextData.ID)
            .build();

    List<Dimension> dims = mapper.getDimensions(metric, context);
    assertEquals("Unexpected size of dimension list", 1, dims.size());
    assertEquals("Unexpected name for dimension", ContextData.ID.name, dims.get(0).getName());
    assertEquals("Unexpected value for dimension", id, dims.get(0).getValue());
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private MetricDatum makeDatum(
        final String id,
        final String name,
        final double sum,
        final double min,
        final double max,
        final int count,
        final StandardUnit unit)
{
    MetricDatum md = new MetricDatum().withMetricName(name).withUnit(unit);

    final StatisticSet statSet = new StatisticSet()
            .withSampleCount(Double.valueOf(count))
            .withSum(sum)
            .withMinimum(min)
            .withMaximum(max);
    md.setStatisticValues(statSet);

    List<Dimension> dimensions = new ArrayList<>(1);
    Dimension trace = new Dimension().withName(ContextData.ID.name).withValue(id);

    dimensions.add(trace);
    md.setDimensions(dimensions);

    return md;
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
/**
 * Please note, the reported values submitted only if they show some data (greater than zero) in order to:
 * <p>
 * 1. save some money
 * 2. prevent com.amazonaws.services.cloudwatch.model.InvalidParameterValueException if empty {@link Snapshot}
 * is submitted
 * <p>
 * If {@link Builder#withZeroValuesSubmission()} is {@code true}, then all values will be submitted
 */
private void stageMetricDatum(final boolean metricConfigured,
                              final String metricName,
                              final double metricValue,
                              final StandardUnit standardUnit,
                              final String dimensionValue,
                              final List<MetricDatum> metricData) {
    // Only submit metrics that show some data, so let's save some money
    if (metricConfigured && (builder.withZeroValuesSubmission || metricValue > 0)) {
        final Set<Dimension> dimensions = new LinkedHashSet<>(builder.globalDimensions);
        dimensions.add(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(dimensionValue));

        metricData.add(new MetricDatum()
                .withTimestamp(new Date(builder.clock.getTime()))
                .withValue(cleanMetricValue(metricValue))
                .withMetricName(metricName)
                .withDimensions(dimensions)
                .withUnit(standardUnit));
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private void stageMetricDatumWithConvertedSnapshot(final boolean metricConfigured,
                                                   final String metricName,
                                                   final Snapshot snapshot,
                                                   final StandardUnit standardUnit,
                                                   final List<MetricDatum> metricData) {
    if (metricConfigured) {
        double scaledSum = convertDuration(LongStream.of(snapshot.getValues()).sum());
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(scaledSum)
                .withSampleCount((double) snapshot.size())
                .withMinimum(convertDuration(snapshot.getMin()))
                .withMaximum(convertDuration(snapshot.getMax()));

        final Set<Dimension> dimensions = new LinkedHashSet<>(builder.globalDimensions);
        dimensions.add(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(DIMENSION_SNAPSHOT_SUMMARY));

        metricData.add(new MetricDatum()
                .withTimestamp(new Date(builder.clock.getTime()))
                .withMetricName(metricName)
                .withDimensions(dimensions)
                .withStatisticValues(statisticSet)
                .withUnit(standardUnit));
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private void stageMetricDatumWithRawSnapshot(final boolean metricConfigured,
                                             final String metricName,
                                             final Snapshot snapshot,
                                             final StandardUnit standardUnit,
                                             final List<MetricDatum> metricData) {
    if (metricConfigured) {
        double total = LongStream.of(snapshot.getValues()).sum();
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(total)
                .withSampleCount((double) snapshot.size())
                .withMinimum((double) snapshot.getMin())
                .withMaximum((double) snapshot.getMax());

        final Set<Dimension> dimensions = new LinkedHashSet<>(builder.globalDimensions);
        dimensions.add(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(DIMENSION_SNAPSHOT_SUMMARY));

        metricData.add(new MetricDatum()
                .withTimestamp(new Date(builder.clock.getTime()))
                .withMetricName(metricName)
                .withDimensions(dimensions)
                .withStatisticValues(statisticSet)
                .withUnit(standardUnit));
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private MetricDatum metricDatumByDimensionFromCapturedRequest(final String dimensionValue) {
    final PutMetricDataRequest putMetricDataRequest = metricDataRequestCaptor.getValue();
    final List<MetricDatum> metricData = putMetricDataRequest.getMetricData();

    final Optional<MetricDatum> metricDatumOptional =
            metricData
                    .stream()
                    .filter(metricDatum -> metricDatum.getDimensions()
                            .contains(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(dimensionValue)))
                    .findFirst();

    if (metricDatumOptional.isPresent()) {
        return metricDatumOptional.get();
    }

    throw new IllegalStateException("Could not find MetricDatum for Dimension value: " + dimensionValue);
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private CloudWatchReporter(MetricRegistry registry,
                           AmazonCloudWatchClient client,
                           String namespace,
                           TimeUnit rateUnit,
                           TimeUnit durationUnit,
                           boolean reportAggregates,
                           MetricFilter filter, Map<String, String> dimensions) {
    super(registry, "cloudwatch-reporter", filter, rateUnit, durationUnit);
    this.client = client;
    this.namespace = namespace;
    this.dimensions = new ArrayList<>();
    this.reportAggregates = reportAggregates;
    for (Map.Entry<String, String> me : dimensions.entrySet()) {
        this.dimensions.add(new Dimension().withName(me.getKey()).withValue(me.getValue()));
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
private void setDimension(MetricDatum metricDatum, Exchange exchange) {
    String name = exchange.getIn().getHeader(CwConstants.METRIC_DIMENSION_NAME, String.class);
    String value = exchange.getIn().getHeader(CwConstants.METRIC_DIMENSION_VALUE, String.class);
    if (name != null && value != null) {
        metricDatum.withDimensions(new Dimension().withName(name).withValue(value));
    } else {
        Map<String, String> dimensions = exchange.getIn().getHeader(CwConstants.METRIC_DIMENSIONS, Map.class);
        if (dimensions != null) {
            Collection<Dimension> dimensionCollection = new ArrayList<Dimension>();
            for (Map.Entry<String, String> dimensionEntry : dimensions.entrySet()) {
                Dimension dimension = new Dimension().withName(dimensionEntry.getKey()).withValue(dimensionEntry.getValue());
                dimensionCollection.add(dimension);
            }
            metricDatum.withDimensions(dimensionCollection);
        }
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
@Test
public void setsMeticDimensions() throws Exception {
    template.send("direct:start", ExchangePattern.InOnly, new Processor() {
        public void process(Exchange exchange) throws Exception {
            exchange.getIn().setHeader(CwConstants.METRIC_NAME, "errorCount");
            Map<String, String> dimensionsMap = new LinkedHashMap<String, String>();
            dimensionsMap.put("keyOne", "valueOne");
            dimensionsMap.put("keyTwo", "valueTwo");
            exchange.getIn().setHeader(CwConstants.METRIC_DIMENSIONS, dimensionsMap);
        }
    });

    ArgumentCaptor<PutMetricDataRequest> argument = ArgumentCaptor.forClass(PutMetricDataRequest.class);
    verify(cloudWatchClient).putMetricData(argument.capture());

    List<Dimension> dimensions = argument.getValue().getMetricData().get(0).getDimensions();
    Dimension dimension = dimensions.get(0);
    assertThat(dimensions.size(), is(2));
    assertEquals("keyOne", dimension.getName());
    assertEquals("valueOne", dimension.getValue());
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
public void createAlarmIfNotAlreadyExist(String topicArn) {		
	List<Dimension> dimensions = new ArrayList<>();
	dimensions.add(new Dimension().withName("Currency").withValue("USD"));
	PutMetricAlarmRequest request = new PutMetricAlarmRequest();
	request.setAlarmName("s3video Billing Alarm");
	request.setAlarmActions(Arrays.asList(topicArn));
	request.setMetricName("EstimatedCharges");
	request.setNamespace("AWS/Billing");
	request.setDimensions(dimensions);
	request.setThreshold(alarmThreshold);
	request.setPeriod(SIX_HOUR_IN_SECONDS);
	request.setStatistic("Maximum");
	request.setComparisonOperator("GreaterThanThreshold");
	request.setEvaluationPeriods(1);
	cloudWatchClient.putMetricAlarm(request);
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
@Override
public void run() {
    try {
        List<MetricDatum> metricData = new ArrayList<>();

        Date now = new Date();
        metricData.addAll(heartbeats.entrySet().stream().map(entry -> new MetricDatum().withMetricName("Heartbeats")
                                                                                       .withDimensions(new Dimension().withName("Client").withValue(entry.getKey()))
                                                                                       .withTimestamp(now)
                                                                                       .withUnit(StandardUnit.Count)
                                                                                       .withValue(entry.getValue().doubleValue())).collect(Collectors.toList()));
        heartbeats.clear();

            for (List<MetricDatum> chunk :partitionList(metricData, 20)) {
                awsClient.putMetricData(new PutMetricDataRequest().withNamespace(namespace).withMetricData(chunk));
            }

    } catch (Throwable e) {
        log.error("Failed to publish CloudWatch metrics: {}", e.toString());
    }
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
/**
 * @return a string representation of this object
 */
@Override
public String toString() {
    StringBuilder sb = new StringBuilder("{ElapsedTimeAggregator: {");
    String namespace = putMetricDataRequest.getNamespace();
    sb.append("region: ").append(region).append(", ");
    sb.append("namespace: ").append(namespace).append(", ");
    sb.append("metrics: [");
    String msep = "";
    for (MetricDatum metricDatum : putMetricDataRequest.getMetricData()) {
        sb.append(msep).append("{metricName: ").append(metricDatum.getMetricName()).append(", ");
        sb.append("dimensions: [");
        String dsep = "";
        for (Dimension dimension : metricDatum.getDimensions()) {
            sb.append(dsep).append(dimension);
            dsep = ", ";
        }
        sb.append("]}");
        msep = ", ";
    }
    sb.append("]}}");
    return sb.toString();
}
 

import com.amazonaws.services.cloudwatch.model.Dimension; //导入依赖的package包/类
@Test
public void testDimensions() throws Exception {
  new CloudWatchCollector(
      "---\nregion: reg\nmetrics:\n- aws_namespace: AWS/ELB\n  aws_metric_name: RequestCount\n  aws_dimensions:\n  - AvailabilityZone\n  - LoadBalancerName", client).register(registry);
  
  Mockito.when(client.listMetrics((ListMetricsRequest)argThat(
      new ListMetricsRequestMatcher().Namespace("AWS/ELB").MetricName("RequestCount").Dimensions("AvailabilityZone", "LoadBalancerName"))))
      .thenReturn(new ListMetricsResult().withMetrics(
        new Metric().withDimensions(new Dimension().withName("AvailabilityZone").withValue("a"), new Dimension().withName("LoadBalancerName").withValue("myLB")),
        new Metric().withDimensions(new Dimension().withName("AvailabilityZone").withValue("a"), new Dimension().withName("LoadBalancerName").withValue("myLB"), new Dimension().withName("ThisExtraDimensionIsIgnored").withValue("dummy")),
        new Metric().withDimensions(new Dimension().withName("AvailabilityZone").withValue("b"), new Dimension().withName("LoadBalancerName").withValue("myOtherLB"))));

  Mockito.when(client.getMetricStatistics((GetMetricStatisticsRequest)argThat(
      new GetMetricStatisticsRequestMatcher().Namespace("AWS/ELB").MetricName("RequestCount").Dimension("AvailabilityZone", "a").Dimension("LoadBalancerName", "myLB"))))
      .thenReturn(new GetMetricStatisticsResult().withDatapoints(
          new Datapoint().withTimestamp(new Date()).withAverage(2.0)));
  Mockito.when(client.getMetricStatistics((GetMetricStatisticsRequest)argThat(
      new GetMetricStatisticsRequestMatcher().Namespace("AWS/ELB").MetricName("RequestCount").Dimension("AvailabilityZone", "b").Dimension("LoadBalancerName", "myOtherLB"))))
      .thenReturn(new GetMetricStatisticsResult().withDatapoints(
          new Datapoint().withTimestamp(new Date()).withAverage(3.0)));

  assertEquals(2.0, registry.getSampleValue("aws_elb_request_count_average", new String[]{"job", "instance", "availability_zone", "load_balancer_name"}, new String[]{"aws_elb", "", "a", "myLB"}), .01);
  assertEquals(3.0, registry.getSampleValue("aws_elb_request_count_average", new String[]{"job", "instance", "availability_zone", "load_balancer_name"}, new String[]{"aws_elb", "", "b", "myOtherLB"}), .01);
  assertNull(registry.getSampleValue("aws_elb_request_count_average", new String[]{"job", "instance", "availability_zone", "load_balancer_name", "this_extra_dimension_is_ignored"}, new String[]{"aws_elb", "", "a", "myLB", "dummy"}));
}