Examples of org.rhq.server.metrics.domain.AggregateNumericMetric

org.rhq.server.metrics.domain.AggregateNumericMetric
@author John Sanda

            if (startTime > endTime) {
                throw new IllegalArgumentException("Start date " + startTime + " is not before " + endTime);
            }


            MetricsServer metricsServer = storageClientManager.getMetricsServer();
            AggregateNumericMetric summary = metricsServer.getSummaryAggregate(scheduleId, startTime, endTime);


            return new MeasurementAggregate(summary.getMin(), summary.getAvg(), summary.getMax());
        } finally {
            stopwatch.stop();
            log.debug("Finished loading measurement aggregate in " + stopwatch.elapsed(TimeUnit.MILLISECONDS));
        }
    }

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        criteria.setPageControl(PageControl.getUnlimitedInstance());
        PageList<MeasurementSchedule> schedules = measurementScheduleManager.findSchedulesByCriteria(subject,
            criteria);


        MetricsServer metricsServer = storageClientManager.getMetricsServer();
        AggregateNumericMetric summary = metricsServer.getSummaryAggregate(map(schedules), startTime, endTime);


        return new MeasurementAggregate(summary.getMin(), summary.getAvg(), summary.getMax());
    }

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        dateTimeService.setNow(hour(8));


        metricsServer.calculateAggregates();


        // verify that one hour metric data is updated
        List<AggregateNumericMetric> expected = asList(new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR,
            divide((3.9 + 3.2 + 2.6), 3), 2.6, 3.9, lastHour.getMillis()));
        assertMetricDataEquals(scheduleId, Bucket.ONE_HOUR, expected);


        // verify that 6 hour metric data is updated
        assertMetricDataEquals(scheduleId, Bucket.SIX_HOUR, asList(new AggregateNumericMetric(scheduleId,
            Bucket.SIX_HOUR, divide((3.9 + 3.2 + 2.6), 3), 2.6, 3.9, hour0.getMillis())));
    }

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        metricsServer.calculateAggregates();


        // verify that the 1 hour aggregates are calculated
        List<AggregateNumericMetric> expected = asList(
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, divide((1.1 + 2.2 + 3.3), 3),
                firstValue, thirdValue, hour8.getMillis()));
        assertMetricDataEquals(scheduleId, Bucket.ONE_HOUR, expected);


        // The 6 hour data should not get aggregated since the current 6 hour time slice
        // has not passed yet. More specifically, the aggregation job is running at 09:00

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        double hour14Min = 3.0;
        double hour14Max = 13.0;


        List<AggregateNumericMetric> expectedOneHourData = asList(
            // add aggregate for hour 10
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, hour10Avg, hour10Min, hour10Max, hour(10).getMillis()),
            // add aggregate for hour 14
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, hour14Avg, hour14Min, hour14Max, hour(14).getMillis())
        );
        assert1HourDataEquals(scheduleId, expectedOneHourData);
//        assert1HourCacheEquals(hour(12), startScheduleId(scheduleId), expectedOneHourData.subList(1, 2));


        // verify that we have 6 hour aggregates for hour 6. The data from the
        // 10:00 hour falls into the 6:00 - 12:00 time slice so we should have
        // a 6 hour aggregate.
        List<AggregateNumericMetric> expected6HourData = asList(new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR,
            hour10Avg, hour10Min, hour10Max, hour(6).getMillis()));
        assert6HourDataEquals(scheduleId, expected6HourData);
//        assert6HourCacheEquals(hour(0), startScheduleId(scheduleId), expected6HourData);
    }

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        double hour8Avg = divide(8.0 + 16.0 + 3.0, 3);
        double hour8Min = 3.0;
        double hour8Max = 16.0;


        List<AggregateNumericMetric> expectedOneHourData = asList(
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, hour20YesterdayAvg, hour20YesterdayMin, hour20YesterdayMax, hour20Yesterday.getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, hour8Avg, hour8Min, hour8Max, hour(8).getMillis())
        );


//        assert1HourDataEquals(scheduleId, expectedOneHourData);
//        assert1HourCacheEquals(hour(6), startScheduleId(scheduleId), asList(new AggregateNumericMetric(scheduleId,
//            hour8Avg, hour8Min, hour8Max, hour(8).getMillis())));


        // verify that we a 6 hour aggregate for the previous day's 18:00 - 00:00
        // time slice
        List<AggregateNumericMetric> expected6HourData = asList(new AggregateNumericMetric(scheduleId, Bucket.SIX_HOUR,
            hour20YesterdayAvg, hour20YesterdayMin, hour20YesterdayMax, hour18Yesterday.getMillis()));
        assert6HourDataEquals(scheduleId, expected6HourData);
//        assert6HourCacheEmpty(hour(0).minusDays(24), startScheduleId(scheduleId));


        // verify that we have a 24 hour aggregate for the previous day's data
        assert24HourDataEquals(scheduleId, asList(new AggregateNumericMetric(scheduleId, Bucket.TWENTY_FOUR_HOUR, hour20YesterdayAvg,
            hour20YesterdayMin, hour20YesterdayMax, hour0Yesterday.getMillis())));
    }

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        metricsServer.addNumericData(data, waitForRawInserts);


        waitForRawInserts.await("Failed to insert raw data");


        AggregateNumericMetric actual = metricsServer.getSummaryAggregate(scheduleId, beginTime.getMillis(),
            endTime.getMillis());
        double avg = divide(1.1 + 2.2 + 3.3 + 4.4 + 5.5 + 6.6, 6);
        AggregateNumericMetric expected = new AggregateNumericMetric(0, Bucket.ONE_HOUR, avg, 1.1, 6.6,
            beginTime.getMillis());


        assertPropertiesMatch("Failed to get resource summary aggregate for raw data.", expected, actual,
            TEST_PRECISION);
    }

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        DateTime bucket0Time = new DateTime(buckets.get(0).getStartTime());
        DateTime bucket59Time = new DateTime(buckets.get(59).getStartTime());


        int scheduleId = 123;
        List<AggregateNumericMetric> metrics = asList(
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 2.0, 1.0, 3.0, bucket0Time.getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 5.0, 4.0, 6.0, bucket0Time.plusHours(1).getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 3.0, 3.0, 3.0, bucket0Time.plusHours(2).getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 5.0, 2.0, 9.0, bucket59Time.getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 5.0, 4.0, 6.0, bucket59Time.plusHours(1).getMillis()),
            new AggregateNumericMetric(scheduleId, Bucket.ONE_HOUR, 3.0, 3.0, 3.0, bucket59Time.plusHours(2).getMillis())
        );
        for (AggregateNumericMetric metric : metrics) {
            dao.insert1HourData(metric).get();
        }


        AggregateNumericMetric actual = metricsServer.getSummaryAggregate(scheduleId, beginTime.getMillis(),
            endTime.getMillis());
        double avg = divide(2.0 + 5.0 + 3.0 + 5.0 + 5.0 + 3.0, 6);
        AggregateNumericMetric expected = new AggregateNumericMetric(0, Bucket.ONE_HOUR, avg, 1.0, 9.0,
            beginTime.getMillis());


        assertPropertiesMatch("Failed to get resource summary aggregate for one hour data", expected, actual,
            TEST_PRECISION);
    }

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        int scheduleId1 = 123;
        int scheduleId2 = 456;


        List<AggregateNumericMetric> metrics = asList(
            new AggregateNumericMetric(scheduleId1, Bucket.ONE_HOUR, 1.1, 1.1, 1.1, bucket0Time.getMillis()),
            new AggregateNumericMetric(scheduleId2, Bucket.ONE_HOUR, 1.2, 1.2, 1.2, bucket0Time.getMillis()),


            new AggregateNumericMetric(scheduleId1, Bucket.ONE_HOUR, 5.1, 5.1, 5.1, bucket59Time.getMillis()),
            new AggregateNumericMetric(scheduleId2, Bucket.ONE_HOUR, 5.2, 5.2, 5.2, bucket59Time.getMillis())
        );
        for (AggregateNumericMetric metric : metrics) {
            dao.insert1HourData(metric).get();
        }


        AggregateNumericMetric actual = metricsServer.getSummaryAggregate(asList(scheduleId1, scheduleId2),
            beginTime.getMillis(), endTime.getMillis());
        double avg = divide(1.1 + 1.2 + 5.1 + 5.2, 4);
        AggregateNumericMetric expected = new AggregateNumericMetric(0, Bucket.ONE_HOUR, avg, 1.1, 5.2,
            beginTime.getMillis());


//        assertEquals(actual, expected, "Failed to get group summary aggregate for one hour data");
        assertPropertiesMatch("Failed to get group summary aggregate for one hour data", expected, actual,
            TEST_PRECISION);

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        metricsServer.addNumericData(data, waitForRawInserts);


        waitForRawInserts.await("Failed to insert raw data");


        AggregateNumericMetric actual = metricsServer.getSummaryAggregate(asList(scheduleId1, scheduleId2),
            beginTime.getMillis(), endTime.getMillis());


        double avg = divide(1.1 + 1.2 + 2.1 + 2.2 + 3.1 + 3.2 + 4.1 + 4.2 + 5.1 + 5.2 + 6.1 + 6.2, 12);
        AggregateNumericMetric expected = new AggregateNumericMetric(0, Bucket.ONE_HOUR, avg, 1.1, 6.2, beginTime.getMillis());


        assertPropertiesMatch("Failed to get group summary aggregate for raw data.", expected, actual,
            TEST_PRECISION);
    }

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