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

Example 1 with CubeDeleteQuery

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

the class DefaultMetricStore method deleteBefore.

@Override
public void deleteBefore(long timestamp) throws Exception {
    // Delete all data before the timestamp. null for MeasureName indicates match any MeasureName.
    for (int resolution : resolutions) {
        // NOTE: we do not purge on TTL the "totals" currently, as there might be system components dependent on it
        if (TOTALS_RESOLUTION == resolution) {
            continue;
        }
        CubeDeleteQuery query = new CubeDeleteQuery(0, timestamp, resolution, Maps.<String, String>newHashMap());
        cube.get().delete(query);
    }
}

Example 2 with CubeDeleteQuery

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

the class AbstractCubeTest method testBasics.

@Test
public void testBasics() throws Exception {
    Aggregation agg1 = new DefaultAggregation(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableList.of("dim1", "dim2"));
    Aggregation agg2 = new DefaultAggregation(ImmutableList.of("dim1", "dim2"), ImmutableList.of("dim1"));
    int resolution = 1;
    Cube cube = getCube("myCube", new int[] { resolution }, ImmutableMap.of("agg1", agg1, "agg2", agg2));
    // write some data
    // NOTE: we mostly use different ts, as we are interested in checking incs not at persist, but rather at query time
    writeInc(cube, "metric1", 1, 1, "1", "1", "1");
    writeInc(cube, "metric1", 1, 1, "1", "1", "1");
    writeInc(cube, "metric1", 2, 2, null, "1", "1");
    writeInc(cube, "metric1", 3, 3, "1", "2", "1");
    writeInc(cube, "metric1", 3, 5, "1", "2", "3");
    writeInc(cube, "metric1", 3, 7, "2", "1", "1");
    writeInc(cube, "metric1", 4, 4, "1", null, "2");
    writeInc(cube, "metric1", 5, 5, null, null, "1");
    writeInc(cube, "metric1", 6, 6, "1", null, null);
    writeInc(cube, "metric1", 7, 3, "1", "1", null);
    // writing using BatchWritable APIs
    writeIncViaBatchWritable(cube, "metric1", 8, 2, null, "1", null);
    writeIncViaBatchWritable(cube, "metric1", 9, 1, null, null, null);
    // writing in batch
    cube.add(ImmutableList.of(getFact("metric1", 10, 2, MeasureType.COUNTER, "1", "1", "1", "1"), getFact("metric1", 11, 3, MeasureType.COUNTER, "1", "1", "1", null), getFact("metric1", 12, 4, MeasureType.COUNTER, "2", "1", "1", "1"), getFact("metric1", 13, 5, MeasureType.COUNTER, null, null, null, "1")));
    writeInc(cube, "metric2", 1, 1, "1", "1", "1");
    // todo: do some write instead of increments - test those as well
    // now let's query!
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1"), ImmutableList.of("dim2"), ImmutableList.of(new TimeSeries("metric1", dimensionValues("dim2", "1"), timeValues(1, 2, 7, 3, 10, 2, 11, 3)), new TimeSeries("metric1", dimensionValues("dim2", "2"), timeValues(3, 8))));
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 10, 2, 11, 3))));
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, new HashMap<String, String>(), ImmutableList.of("dim1"), ImmutableList.of(new TimeSeries("metric1", dimensionValues("dim1", "1"), timeValues(1, 2, 3, 8, 4, 4, 6, 6, 7, 3, 10, 2, 11, 3)), new TimeSeries("metric1", dimensionValues("dim1", "2"), timeValues(3, 7, 12, 4))));
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim3", "3"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(3, 5))));
    // test querying specific aggregations
    verifyCountQuery(cube, "agg1", 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 3, 8, 7, 3, 10, 2, 11, 3))));
    verifyCountQuery(cube, "agg2", 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 3, 8, 4, 4, 6, 6, 7, 3, 10, 2, 11, 3))));
    // query with different agg functions
    verifyCountQuery(cube, "agg1", 0, 15, resolution, "metric1", AggregationFunction.MAX, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 3, 5, 7, 3, 10, 2, 11, 3))));
    verifyCountQuery(cube, "agg1", 0, 15, resolution, "metric1", AggregationFunction.MIN, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 3, 3, 7, 3, 10, 2, 11, 3))));
    verifyCountQuery(cube, "agg1", 0, 15, resolution, "metric1", AggregationFunction.LATEST, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 2, 3, 5, 7, 3, 10, 2, 11, 3))));
    // delete cube data for "metric1" for dim->1,dim2->1,dim3->1 for timestamp 1 - 8 and
    // check data for other timestamp is available
    CubeDeleteQuery query = new CubeDeleteQuery(0, 8, resolution, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), "metric1");
    cube.delete(query);
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), ImmutableList.<String>of(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(10, 2, 11, 3))));
    // delete cube data for "metric1" for dim1->1 and dim2->1  and check by scanning dim1->1 and dim2->1 is empty,
    query = new CubeDeleteQuery(0, 15, resolution, ImmutableMap.of("dim1", "1", "dim2", "1"), "metric1");
    cube.delete(query);
    verifyCountQuery(cube, 0, 15, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1"), ImmutableList.<String>of(), ImmutableList.<TimeSeries>of());
}

Example 3 with CubeDeleteQuery

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

the class AbstractCubeTest method testInterpolate.

@Test
public void testInterpolate() throws Exception {
    Aggregation agg1 = new DefaultAggregation(ImmutableList.of("dim1", "dim2", "dim3"), ImmutableList.of("dim1", "dim2", "dim3"));
    int resolution = 1;
    Cube cube = getCube("myInterpolatedCube", new int[] { resolution }, ImmutableMap.of("agg1", agg1));
    // test step interpolation
    long startTs = 1;
    long endTs = 10;
    writeInc(cube, "metric1", startTs, 5, "1", "1", "1");
    writeInc(cube, "metric1", endTs, 3, "1", "1", "1");
    List<TimeValue> expectedTimeValues = Lists.newArrayList();
    for (long i = startTs; i < endTs; i++) {
        expectedTimeValues.add(new TimeValue(i, 5));
    }
    expectedTimeValues.add(new TimeValue(endTs, 3));
    verifyCountQuery(cube, startTs, endTs, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), expectedTimeValues)), new Interpolators.Step());
    CubeDeleteQuery query = new CubeDeleteQuery(startTs, endTs, resolution, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), "metric1");
    cube.delete(query);
    //test small-slope linear interpolation
    startTs = 1;
    endTs = 5;
    writeInc(cube, "metric1", startTs, 5, "1", "1", "1");
    writeInc(cube, "metric1", endTs, 3, "1", "1", "1");
    verifyCountQuery(cube, startTs, endTs, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 5, 2, 5, 3, 4, 4, 4, 5, 3))), new Interpolators.Linear());
    query = new CubeDeleteQuery(startTs, endTs, resolution, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), "metric1");
    cube.delete(query);
    //test big-slope linear interpolation
    writeInc(cube, "metric1", startTs, 100, "1", "1", "1");
    writeInc(cube, "metric1", endTs, 500, "1", "1", "1");
    verifyCountQuery(cube, startTs, endTs, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 100, 2, 200, 3, 300, 4, 400, 5, 500))), new Interpolators.Linear());
    cube.delete(query);
    //test limit on Interpolate
    long limit = 20;
    writeInc(cube, "metric1", 0, 10, "1", "1", "1");
    writeInc(cube, "metric1", limit + 1, 50, "1", "1", "1");
    expectedTimeValues.clear();
    expectedTimeValues.add(new TimeValue(0, 10));
    for (long i = 1; i <= limit; i++) {
        expectedTimeValues.add(new TimeValue(i, 0));
    }
    expectedTimeValues.add(new TimeValue(limit + 1, 50));
    verifyCountQuery(cube, 0, 21, resolution, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1", "dim3", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), expectedTimeValues)), new Interpolators.Step(limit));
}