private List<MeasurementDataNumericHighLowComposite> createComposites(
Iterable<AggregateNumericMetric> metrics, long beginTime, long endTime, int numberOfBuckets) {
Buckets buckets = new Buckets(beginTime, endTime, numberOfBuckets);
for (AggregateNumericMetric metric : metrics) {
if (invalidMetricsManager.isInvalidMetric(metric)) {
log.warn(
"The "
+ metric.getBucket()
+ " metric "
+ metric
+ " is invalid. It will be excluded from "
+ "the results sent to the client and we will attempt to recompute the metric.");
invalidMetricsManager.submit(metric);
} else {
buckets.insert(metric.getTimestamp(), metric.getAvg(), metric.getMin(), metric.getMax());
}
}
List<MeasurementDataNumericHighLowComposite> data =
new ArrayList<MeasurementDataNumericHighLowComposite>();
for (int i = 0; i < buckets.getNumDataPoints(); ++i) {
Buckets.Bucket bucket = buckets.get(i);
data.add(
new MeasurementDataNumericHighLowComposite(
bucket.getStartTime(), bucket.getAvg(), bucket.getMax(), bucket.getMin()));
}
return data;
}
public void shutdown() {
numericQueueConsumer.shutdown();
try {
numericQueueConsumer.join(); // Lets wait for it to finish before we continue..
} catch (InterruptedException e) {
log.warn("Potential data loss while waiting for the queue to empty, ", e);
}
aggregationManager.shutdown();
invalidMetricsManager.shutdown();
}
public void shutdown() {
aggregationManager.shutdown();
invalidMetricsManager.shutdown();
}