Examples with TimeValue co.cask.cdap.api.dataset.lib.cube.TimeValue used on opensource projects

Example 1 with TimeValue

use of co.cask.cdap.api.dataset.lib.cube.TimeValue in project cdap by caskdata.

the class FlowTest method getPending.

private static long getPending(Map<String, String> tags) throws Exception {
    MetricDataQuery metricDataQuery = new MetricDataQuery(0, Integer.MAX_VALUE, Integer.MAX_VALUE, "system.queue.pending", AggregationFunction.SUM, tags, ImmutableList.<String>of());
    Collection<MetricTimeSeries> query = metricStore.query(metricDataQuery);
    if (query.isEmpty()) {
        return 0;
    }
    MetricTimeSeries timeSeries = Iterables.getOnlyElement(query);
    List<TimeValue> timeValues = timeSeries.getTimeValues();
    TimeValue timeValue = Iterables.getOnlyElement(timeValues);
    return timeValue.getValue();
}

Example 2 with TimeValue

use of co.cask.cdap.api.dataset.lib.cube.TimeValue in project cdap by caskdata.

the class DataCleansingMapReduceTest method getValidityMetrics.

// pass true to get the number of invalid records; pass false to get the number of valid records processed.
private long getValidityMetrics(boolean invalid) throws Exception {
    String metric = "user.records." + (invalid ? "invalid" : "valid");
    Map<String, String> tags = ImmutableMap.of(Constants.Metrics.Tag.NAMESPACE, NamespaceId.DEFAULT.getNamespace(), Constants.Metrics.Tag.APP, DataCleansing.NAME, Constants.Metrics.Tag.MAPREDUCE, DataCleansingMapReduce.NAME);
    MetricDataQuery metricQuery = new MetricDataQuery(0, Integer.MAX_VALUE, Integer.MAX_VALUE, metric, AggregationFunction.SUM, tags, ImmutableList.<String>of());
    Collection<MetricTimeSeries> result = getMetricsManager().query(metricQuery);
    if (result.isEmpty()) {
        return 0;
    }
    // since it is totals query and not groupBy specified, we know there's one time series
    List<TimeValue> timeValues = result.iterator().next().getTimeValues();
    if (timeValues.isEmpty()) {
        return 0;
    }
    // since it is totals, we know there's one value only
    return timeValues.get(0).getValue();
}

Example 3 with TimeValue

use of co.cask.cdap.api.dataset.lib.cube.TimeValue in project cdap by caskdata.

the class FactTableTest method testMaxResolution.

@Test
public void testMaxResolution() throws Exception {
    // we use Integer.MAX_VALUE as resolution to compute all-time total values
    InMemoryTableService.create("TotalsEntityTable");
    InMemoryTableService.create("TotalsDataTable");
    int resolution = Integer.MAX_VALUE;
    // should not matter when resolution is max
    int rollTimebaseInterval = 3600;
    FactTable table = new FactTable(new InMemoryMetricsTable("TotalsDataTable"), new EntityTable(new InMemoryMetricsTable("TotalsEntityTable")), resolution, rollTimebaseInterval);
    // ts is expected in seconds
    long ts = System.currentTimeMillis() / 1000;
    int count = 1000;
    for (int i = 0; i < count; i++) {
        for (int k = 0; k < 10; k++) {
            // shift one day
            writeInc(table, "metric" + k, ts + i * 60 * 60 * 24, i * k, "dim" + k, "value" + k);
        }
    }
    for (int k = 0; k < 10; k++) {
        // 0, 0 should match timestamp of all data points
        FactScan scan = new FactScan(0, 0, "metric" + k, dimValues("dim" + k, "value" + k));
        Table<String, List<DimensionValue>, List<TimeValue>> expected = HashBasedTable.create();
        expected.put("metric" + k, dimValues("dim" + k, "value" + k), ImmutableList.of(new TimeValue(0, k * count * (count - 1) / 2)));
        assertScan(table, expected, scan);
    }
}

Example 4 with TimeValue

use of co.cask.cdap.api.dataset.lib.cube.TimeValue in project cdap by caskdata.

the class FactTableTest method testBasics.

@Test
public void testBasics() throws Exception {
    InMemoryTableService.create("EntityTable");
    InMemoryTableService.create("DataTable");
    int resolution = 10;
    int rollTimebaseInterval = 2;
    FactTable table = new FactTable(new InMemoryMetricsTable("DataTable"), new EntityTable(new InMemoryMetricsTable("EntityTable")), resolution, rollTimebaseInterval);
    // aligned to start of resolution bucket
    // "/1000" because time is expected to be in seconds
    long ts = ((System.currentTimeMillis() / 1000) / resolution) * resolution;
    // testing encoding with multiple dims
    List<DimensionValue> dimensionValues = ImmutableList.of(new DimensionValue("dim1", "value1"), new DimensionValue("dim2", "value2"), new DimensionValue("dim3", "value3"));
    // trying adding one by one, in same (first) time resolution bucket
    for (int i = 0; i < 5; i++) {
        for (int k = 1; k < 4; k++) {
            // note: "+i" here and below doesn't affect results, just to confirm
            //       that data points are rounded to the resolution
            table.add(ImmutableList.of(new Fact(ts + i, dimensionValues, new Measurement("metric" + k, MeasureType.COUNTER, k))));
        }
    }
    // trying adding one by one, in different time resolution buckets
    for (int i = 0; i < 3; i++) {
        for (int k = 1; k < 4; k++) {
            table.add(ImmutableList.of(new Fact(ts + resolution * i + i, dimensionValues, new Measurement("metric" + k, MeasureType.COUNTER, 2 * k))));
        }
    }
    // trying adding as list
    // first incs in same (second) time resolution bucket
    List<Fact> aggs = Lists.newArrayList();
    for (int i = 0; i < 7; i++) {
        for (int k = 1; k < 4; k++) {
            aggs.add(new Fact(ts + resolution, dimensionValues, new Measurement("metric" + k, MeasureType.COUNTER, 3 * k)));
        }
    }
    // then incs in different time resolution buckets
    for (int i = 0; i < 3; i++) {
        for (int k = 1; k < 4; k++) {
            aggs.add(new Fact(ts + resolution * i, dimensionValues, new Measurement("metric" + k, MeasureType.COUNTER, 4 * k)));
        }
    }
    table.add(aggs);
    // verify each metric
    for (int k = 1; k < 4; k++) {
        FactScan scan = new FactScan(ts - 2 * resolution, ts + 3 * resolution, "metric" + k, dimensionValues);
        Table<String, List<DimensionValue>, List<TimeValue>> expected = HashBasedTable.create();
        expected.put("metric" + k, dimensionValues, ImmutableList.of(new TimeValue(ts, 11 * k), new TimeValue(ts + resolution, 27 * k), new TimeValue(ts + 2 * resolution, 6 * k)));
        assertScan(table, expected, scan);
    }
    // verify each metric within a single timeBase
    for (int k = 1; k < 4; k++) {
        FactScan scan = new FactScan(ts, ts + resolution - 1, "metric" + k, dimensionValues);
        Table<String, List<DimensionValue>, List<TimeValue>> expected = HashBasedTable.create();
        expected.put("metric" + k, dimensionValues, ImmutableList.of(new TimeValue(ts, 11 * k)));
        assertScan(table, expected, scan);
    }
    // verify all metrics with fuzzy metric in scan
    Table<String, List<DimensionValue>, List<TimeValue>> expected = HashBasedTable.create();
    for (int k = 1; k < 4; k++) {
        expected.put("metric" + k, dimensionValues, ImmutableList.of(new TimeValue(ts, 11 * k), new TimeValue(ts + resolution, 27 * k), new TimeValue(ts + 2 * resolution, 6 * k)));
    }
    // metric = null means "all"
    FactScan scan = new FactScan(ts - 2 * resolution, ts + 3 * resolution, dimensionValues);
    assertScan(table, expected, scan);
    // delete metric test
    expected.clear();
    // delete the metrics data at (timestamp + 20) resolution
    scan = new FactScan(ts + resolution * 2, ts + resolution * 3, dimensionValues);
    table.delete(scan);
    for (int k = 1; k < 4; k++) {
        expected.put("metric" + k, dimensionValues, ImmutableList.of(new TimeValue(ts, 11 * k), new TimeValue(ts + resolution, 27 * k)));
    }
    // verify deletion
    scan = new FactScan(ts - 2 * resolution, ts + 3 * resolution, dimensionValues);
    assertScan(table, expected, scan);
    // delete metrics for "metric1" at ts0 and verify deletion
    scan = new FactScan(ts, ts + 1, "metric1", dimensionValues);
    table.delete(scan);
    expected.clear();
    expected.put("metric1", dimensionValues, ImmutableList.of(new TimeValue(ts + resolution, 27)));
    scan = new FactScan(ts - 2 * resolution, ts + 3 * resolution, "metric1", dimensionValues);
    assertScan(table, expected, scan);
    // verify the next dims search
    Collection<DimensionValue> nextTags = table.findSingleDimensionValue(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim1", "value1"), ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of(new DimensionValue("dim2", "value2")), nextTags);
    Map<String, String> slice = Maps.newHashMap();
    slice.put("dim1", null);
    nextTags = table.findSingleDimensionValue(ImmutableList.of("dim1", "dim2", "dim3"), slice, ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of(new DimensionValue("dim2", "value2")), nextTags);
    nextTags = table.findSingleDimensionValue(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim1", "value1", "dim2", "value2"), ts, ts + 3);
    Assert.assertEquals(ImmutableSet.of(new DimensionValue("dim3", "value3")), nextTags);
    // add new dim values
    dimensionValues = ImmutableList.of(new DimensionValue("dim1", "value1"), new DimensionValue("dim2", "value5"), new DimensionValue("dim3", null));
    table.add(ImmutableList.of(new Fact(ts, dimensionValues, new Measurement("metric", MeasureType.COUNTER, 10))));
    dimensionValues = ImmutableList.of(new DimensionValue("dim1", "value1"), new DimensionValue("dim2", null), new DimensionValue("dim3", "value3"));
    table.add(ImmutableList.of(new Fact(ts, dimensionValues, new Measurement("metric", MeasureType.COUNTER, 10))));
    nextTags = table.findSingleDimensionValue(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim1", "value1"), ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of(new DimensionValue("dim2", "value2"), new DimensionValue("dim2", "value5"), new DimensionValue("dim3", "value3")), nextTags);
    // search for metric names given dims list and verify
    Collection<String> metricNames = table.findMeasureNames(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim1", "value1", "dim2", "value2", "dim3", "value3"), ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of("metric2", "metric3"), metricNames);
    metricNames = table.findMeasureNames(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim1", "value1"), ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of("metric", "metric2", "metric3"), metricNames);
    metricNames = table.findMeasureNames(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableMap.of("dim2", "value2"), ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of("metric2", "metric3"), metricNames);
    metricNames = table.findMeasureNames(ImmutableList.of("dim1", "dim2", "dim3"), slice, ts, ts + 1);
    Assert.assertEquals(ImmutableSet.of("metric", "metric2", "metric3"), metricNames);
}

Example 5 with TimeValue

use of co.cask.cdap.api.dataset.lib.cube.TimeValue in project cdap by caskdata.

the class LocalMRJobInfoFetcher method getAggregates.

private void getAggregates(Map<String, String> tags, Map<String, String> metricsToCounters, Map<String, Long> result) {
    Map<String, AggregationFunction> metrics = Maps.newHashMap();
    // all map-reduce metrics are gauges
    for (String metric : metricsToCounters.keySet()) {
        metrics.put(metric, AggregationFunction.LATEST);
    }
    MetricDataQuery metricDataQuery = new MetricDataQuery(0, Integer.MAX_VALUE, Integer.MAX_VALUE, metrics, tags, ImmutableList.<String>of());
    Collection<MetricTimeSeries> query = metricStore.query(metricDataQuery);
    // initialize elements to zero
    for (String counterName : metricsToCounters.values()) {
        result.put(counterName, 0L);
    }
    for (MetricTimeSeries metricTimeSeries : query) {
        List<TimeValue> timeValues = metricTimeSeries.getTimeValues();
        TimeValue timeValue = Iterables.getOnlyElement(timeValues);
        result.put(metricsToCounters.get(metricTimeSeries.getMetricName()), timeValue.getValue());
    }
}