本文整理了Java中com.amazonaws.services.cloudwatch.model.GetMetricStatisticsRequest.withStartTime()方法的一些代码示例，展示了GetMetricStatisticsRequest.withStartTime()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。GetMetricStatisticsRequest.withStartTime()方法的具体详情如下：
包路径：com.amazonaws.services.cloudwatch.model.GetMetricStatisticsRequest
类名称：GetMetricStatisticsRequest
方法名：withStartTime

GetMetricStatisticsRequest.withStartTime介绍

[英]The time stamp that determines the first data point to return. Start times are evaluated relative to the time that CloudWatch receives the request.

The value specified is inclusive; results include data points with the specified time stamp. The time stamp must be in ISO 8601 UTC format (for example, 2016-10-03T23:00:00Z).

CloudWatch rounds the specified time stamp as follows:

• Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.
• Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.
• Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.

If you set Period to 5, 10, or 30, the start time of your request is rounded down to the nearest time that corresponds to even 5-, 10-, or 30-second divisions of a minute. For example, if you make a query at (HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of your request is rounded down and you receive data from 01:05:10 to 01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of data, using a period of 5 seconds, you receive data timestamped between 15:02:15 and 15:07:15.
[中]确定要返回的第一个数据点的时间戳。开始时间是相对于CloudWatch收到请求的时间来计算的。
指定的值包括在内；结果包括具有指定时间戳的数据点。时间戳必须采用ISO 8601 UTC格式（例如，2016-10-03T23:00:00Z）。
CloudWatch按如下方式舍入指定的时间戳：
*开始时间不到15天前-四舍五入到最接近的整分钟。例如，12:32:34向下舍入为12:32:00。
*开始时间为15至63天前-四舍五入至最接近的5分钟时钟间隔。例如，12:32:34向下舍入为12:30:00。
*开始时间大于63天前-四舍五入至最接近的1小时时钟间隔。例如，12:32:34向下舍入为12:00:00。
如果将Period设置为5、10或30，则请求的开始时间将向下舍入到最接近的时间，该时间甚至对应于一分钟的5、10或30秒刻度。例如，如果您在（HH:mm:ss）01:05:23处对前10秒的时间段进行查询，则请求的开始时间将向下舍入，并且您将收到01:05:10到01:05:20之间的数据。如果您在15:07:17查询前5分钟的数据，使用5秒的时间段，您将收到时间戳介于15:02:15和15:07:15之间的数据。

代码示例

代码示例来源：origin: awslabs/amazon-kinesis-scaling-utils

double sampleMetric = 0D;
req.withStartTime(metricStartTime.toDate()).withEndTime(metricEndTime.toDate());

代码示例来源：origin: tmobile/pacbot

private static GetMetricStatisticsRequest request(
    final String funcationValue, int hours) {
  final long twentyFourHrs = 1000 * 60 * 60l * hours;
  final int oneHour = 60 * 60 * hours;
  return new GetMetricStatisticsRequest()
      .withStartTime(new Date(new Date().getTime() - twentyFourHrs))
      .withNamespace(PacmanRuleConstants.AWS_LAMBDA)
      .withPeriod(oneHour)
      .withDimensions(
          new Dimension().withName("FunctionName").withValue(
              funcationValue))
      .withMetricName(PacmanRuleConstants.INVOCATIONS)
      .withStatistics("Sum").withEndTime(new Date());
}

代码示例来源：origin: tmobile/pacbot

private static GetMetricStatisticsRequest request(
    final String funcationValue) {
  final int fiveMin = 60 * 60 * 24;
  return new GetMetricStatisticsRequest()
      .withStartTime(new Date(new Date().getTime() - TWENTYFOURHOURS))
      .withNamespace(PacmanRuleConstants.AWS_LAMBDA)
      .withPeriod(fiveMin)
      .withDimensions(
          new Dimension().withName(
              PacmanRuleConstants.FUNCTION_NAME).withValue(
              funcationValue))
      .withMetricName(PacmanRuleConstants.THROTTLES)
      .withStatistics(PacmanRuleConstants.SUM)
      .withEndTime(new Date());
}

代码示例来源：origin: org.apache.beam/beam-sdks-java-io-kinesis

GetMetricStatisticsRequest createMetricStatisticsRequest(
  String streamName, Instant countSince, Instant countTo, Minutes period) {
 return new GetMetricStatisticsRequest()
   .withNamespace(KINESIS_NAMESPACE)
   .withMetricName(INCOMING_RECORDS_METRIC)
   .withPeriod(period.getMinutes() * PERIOD_GRANULARITY_IN_SECONDS)
   .withStartTime(countSince.toDate())
   .withEndTime(countTo.toDate())
   .withStatistics(Collections.singletonList(SUM_STATISTIC))
   .withDimensions(
     Collections.singletonList(
       new Dimension().withName(STREAM_NAME_DIMENSION).withValue(streamName)));
}

代码示例来源：origin: classmethod/gradle-aws-plugin

public GetMetricStatisticsResult getMetricStatistics(String metricName, String namespace, String statistics,
    String extendedStatistics, String unit) throws AmazonServiceException {
  AwsCloudWatchPluginExtension ext = getProject().getExtensions().getByType(AwsCloudWatchPluginExtension.class);
  AmazonCloudWatch cw = ext.getClient();
  GetMetricStatisticsRequest request = new GetMetricStatisticsRequest()
    .withMetricName(metricName)
    .withNamespace(namespace)
    .withStatistics(statistics)
    .withExtendedStatistics(extendedStatistics)
    .withUnit(unit)
    .withEndTime(getEndTime())
    .withStartTime(getStartTime())
    .withPeriod(getPeriod());
  
  if (getDimensions() != null) {
    request.withDimensions(getDimensions().entrySet().stream()
      .map(it -> new Dimension()
        .withName(it.getKey().toString())
        .withValue(it.getValue()))
      .collect(Collectors.toList()));
  }
  
  GetMetricStatisticsResult response = cw.getMetricStatistics(request);
  for (Datapoint metric : response.getDatapoints()) {
    getLogger().debug("Retrieved metric %s", metric.getAverage());
  }
  return response;
}

代码示例来源：origin: yegor256/s3auth

@Override
  @Cacheable(lifetime = Tv.THIRTY, unit = TimeUnit.MINUTES)
  public long bytesTransferred() {
    final Date now = new Date();
    final List<Datapoint> datapoints =
      DefaultHost.this.cloudwatch.get().getMetricStatistics(
        new GetMetricStatisticsRequest()
          .withMetricName("BytesTransferred")
          .withNamespace("S3Auth")
          .withStatistics("Sum")
          .withDimensions(
            new Dimension()
              .withName("Bucket")
              .withValue(this.bucket)
          )
          .withUnit(StandardUnit.Bytes)
          .withPeriod((int) TimeUnit.DAYS.toSeconds(Tv.SEVEN))
          .withStartTime(DateUtils.addWeeks(now, -1))
          .withEndTime(now)
      ).getDatapoints();
    long sum = 0L;
    for (final Datapoint datapoint : datapoints) {
      sum += datapoint.getSum();
    }
    return sum;
  }
}