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

Example 1 with Cube

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

the class CubeDatasetTest method testTxRetryOnFailure.

@Test
public void testTxRetryOnFailure() throws Exception {
    // This test ensures that there's no non-transactional cache used in cube dataset. For that, it
    // 1) simulates transaction conflict for the first write to cube
    // 2) attempts to write again, writes successfully
    // 3) uses second cube instance to read the result
    //
    // In case there's a non-transactional cache used in cube, it would fill entity mappings in the first tx, and only
    // use them to write data. Hence, when reading - there will be no mapping in entity table to decode, as first tx
    // that wrote it is not visible (was aborted on conflict).
    Aggregation agg1 = new DefaultAggregation(ImmutableList.of("dim1", "dim2", "dim3"));
    int resolution = 1;
    Cube cube1 = getCubeInternal("concurrCube", new int[] { resolution }, ImmutableMap.of("agg1", agg1));
    Cube cube2 = getCubeInternal("concurrCube", new int[] { resolution }, ImmutableMap.of("agg1", agg1));
    Configuration txConf = HBaseConfiguration.create();
    TransactionManager txManager = new TransactionManager(txConf);
    txManager.startAndWait();
    try {
        TransactionSystemClient txClient = new InMemoryTxSystemClient(txManager);
        // 1) write and abort after commit to simlate conflict
        Transaction tx = txClient.startShort();
        ((TransactionAware) cube1).startTx(tx);
        writeInc(cube1, "metric1", 1, 1, "1", "1", "1");
        ((TransactionAware) cube1).commitTx();
        txClient.abort(tx);
        ((TransactionAware) cube1).rollbackTx();
        // 2) write successfully
        tx = txClient.startShort();
        ((TransactionAware) cube1).startTx(tx);
        writeInc(cube1, "metric1", 1, 1, "1", "1", "1");
        // let's pretend we had conflict and rollback it
        ((TransactionAware) cube1).commitTx();
        txClient.commit(tx);
        ((TransactionAware) cube1).postTxCommit();
        // 3) read using different cube instance
        tx = txClient.startShort();
        ((TransactionAware) cube2).startTx(tx);
        verifyCountQuery(cube2, 0, 2, resolution, "metric1", AggregationFunction.SUM, new HashMap<String, String>(), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 1))));
        // let's pretend we had conflict and rollback it
        ((TransactionAware) cube2).commitTx();
        txClient.commit(tx);
        ((TransactionAware) cube2).postTxCommit();
    } finally {
        txManager.stopAndWait();
    }
}

Example 2 with Cube

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

the class AbstractCubeTest method testGauges.

@Test
public void testGauges() throws Exception {
    Aggregation agg1 = new DefaultAggregation(ImmutableList.of("dim1"));
    Aggregation agg2 = new DefaultAggregation(ImmutableList.of("dim1", "dim2"));
    int res1 = 1;
    int res100 = 100;
    Cube cube = getCube("myGaugeCube", new int[] { res1, res100 }, ImmutableMap.of("agg1", agg1, "agg2", agg2));
    // write some data
    writeGauge(cube, "metric1", 1, 1, "1", "1");
    writeGauge(cube, "metric1", 1, 2, "2", "1");
    writeGauge(cube, "metric1", 1, 3, "1", "2");
    writeGauge(cube, "metric2", 1, 4, "1", "1");
    writeGauge(cube, "metric1", 1, 5, "1", "2");
    writeGauge(cube, "metric1", 10, 6, "1", "1");
    writeGauge(cube, "metric1", 101, 7, "1", "1");
    // now let's query!
    verifyCountQuery(cube, "agg1", 0, 150, res1, "metric1", AggregationFunction.LATEST, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 5, 10, 6, 101, 7))));
    verifyCountQuery(cube, "agg1", 0, 150, res100, "metric1", AggregationFunction.LATEST, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(0, 6, 100, 7))));
    verifyCountQuery(cube, "agg2", 0, 150, res1, "metric1", AggregationFunction.LATEST, ImmutableMap.of("dim1", "1", "dim2", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 1, 10, 6, 101, 7))));
    verifyCountQuery(cube, "agg2", 0, 150, res100, "metric1", AggregationFunction.LATEST, ImmutableMap.of("dim1", "1", "dim2", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(0, 6, 100, 7))));
}

Example 3 with Cube

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

the class AbstractCubeTest method testIncrements.

@Test
public void testIncrements() throws Exception {
    Aggregation agg1 = new DefaultAggregation(ImmutableList.of("dim1"));
    Aggregation agg2 = new DefaultAggregation(ImmutableList.of("dim1", "dim2"));
    int res1 = 1;
    int res100 = 100;
    Cube cube = getCube("myIncCube", new int[] { res1, res100 }, ImmutableMap.of("agg1", agg1, "agg2", agg2));
    // write some data
    writeInc(cube, "metric1", 1, 1, "1", "1");
    writeInc(cube, "metric1", 1, 2, "2", "1");
    writeInc(cube, "metric1", 1, 3, "1", "2");
    writeInc(cube, "metric2", 1, 4, "1", "1");
    writeInc(cube, "metric1", 1, 5, "1", "2");
    writeInc(cube, "metric1", 10, 6, "1", "1");
    writeInc(cube, "metric1", 101, 7, "1", "1");
    // now let's query!
    verifyCountQuery(cube, "agg1", 0, 150, res1, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 9, 10, 6, 101, 7))));
    verifyCountQuery(cube, "agg1", 0, 150, res100, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(0, 15, 100, 7))));
    verifyCountQuery(cube, "agg2", 0, 150, res1, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(1, 1, 10, 6, 101, 7))));
    verifyCountQuery(cube, "agg2", 0, 150, res100, "metric1", AggregationFunction.SUM, ImmutableMap.of("dim1", "1", "dim2", "1"), new ArrayList<String>(), ImmutableList.of(new TimeSeries("metric1", new HashMap<String, String>(), timeValues(0, 7, 100, 7))));
}

Example 4 with Cube

use of co.cask.cdap.api.dataset.lib.cube.Cube 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 5 with Cube

use of co.cask.cdap.api.dataset.lib.cube.Cube 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));
}