Search in sources :

Example 6 with DimensionValue

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

the class DefaultMetricStore method findNextAvailableTags.

@Override
public Collection<TagValue> findNextAvailableTags(MetricSearchQuery query) throws Exception {
    Collection<DimensionValue> tags = cube.get().findDimensionValues(buildCubeSearchQuery(query));
    Collection<TagValue> result = Lists.newArrayList();
    for (DimensionValue dimensionValue : tags) {
        result.add(new TagValue(dimensionValue.getName(), dimensionValue.getValue()));
    }
    return result;
}
Also used : DimensionValue(co.cask.cdap.api.dataset.lib.cube.DimensionValue) TagValue(co.cask.cdap.api.metrics.TagValue)

Example 7 with DimensionValue

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

the class TestAppWithCube method searchDimensionValue.

private Collection<DimensionValue> searchDimensionValue(URL serviceUrl, CubeExploreQuery query) throws IOException {
    URL url = new URL(serviceUrl, "searchDimensionValue");
    HttpRequest request = HttpRequest.post(url).withBody(GSON.toJson(query)).build();
    HttpResponse response = HttpRequests.execute(request);
    Assert.assertEquals(200, response.getResponseCode());
    return GSON.fromJson(response.getResponseBodyAsString(), new TypeToken<Collection<DimensionValue>>() {
    }.getType());
}
Also used : HttpRequest(co.cask.common.http.HttpRequest) DimensionValue(co.cask.cdap.api.dataset.lib.cube.DimensionValue) TypeToken(com.google.gson.reflect.TypeToken) HttpResponse(co.cask.common.http.HttpResponse) URL(java.net.URL)

Example 8 with DimensionValue

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

the class TestAppWithCube method testApp.

@Category(SlowTests.class)
@Test
public void testApp() throws Exception {
    // Deploy the application
    ApplicationManager appManager = deployApplication(AppWithCube.class);
    ServiceManager serviceManager = appManager.getServiceManager(AppWithCube.SERVICE_NAME).start();
    try {
        serviceManager.waitForStatus(true);
        URL url = serviceManager.getServiceURL();
        long tsInSec = System.currentTimeMillis() / 1000;
        // round to a minute for testing minute resolution
        tsInSec = (tsInSec / 60) * 60;
        // add couple facts
        add(url, ImmutableList.of(new CubeFact(tsInSec).addDimensionValue("user", "alex").addDimensionValue("action", "click").addMeasurement("count", MeasureType.COUNTER, 1)));
        add(url, ImmutableList.of(new CubeFact(tsInSec).addDimensionValue("user", "alex").addDimensionValue("action", "click").addMeasurement("count", MeasureType.COUNTER, 1), new CubeFact(tsInSec + 1).addDimensionValue("user", "alex").addDimensionValue("action", "back").addMeasurement("count", MeasureType.COUNTER, 1), new CubeFact(tsInSec + 2).addDimensionValue("user", "alex").addDimensionValue("action", "click").addMeasurement("count", MeasureType.COUNTER, 1)));
        // search for tags
        Collection<DimensionValue> tags = searchDimensionValue(url, new CubeExploreQuery(tsInSec - 60, tsInSec + 60, 1, 100, new ArrayList<DimensionValue>()));
        Assert.assertEquals(1, tags.size());
        DimensionValue tv = tags.iterator().next();
        Assert.assertEquals("user", tv.getName());
        Assert.assertEquals("alex", tv.getValue());
        tags = searchDimensionValue(url, CubeExploreQuery.builder().from().resolution(1, TimeUnit.SECONDS).where().dimension("user", "alex").timeRange(tsInSec - 60, tsInSec + 60).limit(100).build());
        Assert.assertEquals(2, tags.size());
        Iterator<DimensionValue> iterator = tags.iterator();
        tv = iterator.next();
        Assert.assertEquals("action", tv.getName());
        Assert.assertEquals("back", tv.getValue());
        tv = iterator.next();
        Assert.assertEquals("action", tv.getName());
        Assert.assertEquals("click", tv.getValue());
        // search for measures
        Collection<String> measures = searchMeasure(url, new CubeExploreQuery(tsInSec - 60, tsInSec + 60, 1, 100, ImmutableList.of(new DimensionValue("user", "alex"))));
        Assert.assertEquals(1, measures.size());
        String measure = measures.iterator().next();
        Assert.assertEquals("count", measure);
        // query for data
        // 1-sec resolution
        Collection<TimeSeries> data = query(url, CubeQuery.builder().select().measurement("count", AggregationFunction.SUM).from(null).resolution(1, TimeUnit.SECONDS).where().dimension("action", "click").timeRange(tsInSec - 60, tsInSec + 60).limit(100).build());
        Assert.assertEquals(1, data.size());
        TimeSeries series = data.iterator().next();
        List<TimeValue> timeValues = series.getTimeValues();
        Assert.assertEquals(2, timeValues.size());
        TimeValue timeValue = timeValues.get(0);
        Assert.assertEquals(tsInSec, timeValue.getTimestamp());
        Assert.assertEquals(2, timeValue.getValue());
        timeValue = timeValues.get(1);
        Assert.assertEquals(tsInSec + 2, timeValue.getTimestamp());
        Assert.assertEquals(1, timeValue.getValue());
        // 60-sec resolution
        data = query(url, new CubeQuery(null, tsInSec - 60, tsInSec + 60, 60, 100, ImmutableMap.of("count", AggregationFunction.SUM), ImmutableMap.of("action", "click"), new ArrayList<String>(), null));
        Assert.assertEquals(1, data.size());
        series = data.iterator().next();
        timeValues = series.getTimeValues();
        Assert.assertEquals(1, timeValues.size());
        timeValue = timeValues.get(0);
        Assert.assertEquals(tsInSec, timeValue.getTimestamp());
        Assert.assertEquals(3, timeValue.getValue());
    } finally {
        serviceManager.stop();
        serviceManager.waitForStatus(false);
    }
}
Also used : ApplicationManager(co.cask.cdap.test.ApplicationManager) TimeSeries(co.cask.cdap.api.dataset.lib.cube.TimeSeries) ArrayList(java.util.ArrayList) CubeQuery(co.cask.cdap.api.dataset.lib.cube.CubeQuery) URL(java.net.URL) CubeFact(co.cask.cdap.api.dataset.lib.cube.CubeFact) DimensionValue(co.cask.cdap.api.dataset.lib.cube.DimensionValue) ServiceManager(co.cask.cdap.test.ServiceManager) CubeExploreQuery(co.cask.cdap.api.dataset.lib.cube.CubeExploreQuery) TimeValue(co.cask.cdap.api.dataset.lib.cube.TimeValue) Category(org.junit.experimental.categories.Category) Test(org.junit.Test)

Example 9 with DimensionValue

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

the class FactCodecTest method test.

@Test
public void test() {
    InMemoryTableService.create("FactCodecTest");
    MetricsTable table = new InMemoryMetricsTable("FactCodecTest");
    int resolution = 10;
    int rollTimebaseInterval = 2;
    FactCodec codec = new FactCodec(new EntityTable(table), resolution, rollTimebaseInterval);
    // testing encoding with multiple dimensions
    List<DimensionValue> dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", "value2"), new DimensionValue("dimension3", "value3"));
    // note: we use seconds everywhere and rely on this
    long ts = 1422312915;
    byte[] rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    byte[] column = codec.createColumn(ts);
    Assert.assertEquals((ts / resolution) * resolution, codec.getTimestamp(rowKey, column));
    Assert.assertEquals(dimensionValues, codec.getDimensionValues(rowKey));
    Assert.assertEquals("myMetric", codec.getMeasureName(rowKey));
    // testing encoding without one dimension
    dimensionValues = ImmutableList.of(new DimensionValue("myTag", "myValue"));
    rowKey = codec.createRowKey(dimensionValues, "mySingleTagMetric", ts);
    Assert.assertEquals((ts / resolution) * resolution, codec.getTimestamp(rowKey, column));
    Assert.assertEquals(dimensionValues, codec.getDimensionValues(rowKey));
    Assert.assertEquals("mySingleTagMetric", codec.getMeasureName(rowKey));
    // testing encoding without empty dimensions
    rowKey = codec.createRowKey(new ArrayList<DimensionValue>(), "myNoTagsMetric", ts);
    Assert.assertEquals((ts / resolution) * resolution, codec.getTimestamp(rowKey, column));
    Assert.assertEquals(new ArrayList<DimensionValue>(), codec.getDimensionValues(rowKey));
    Assert.assertEquals("myNoTagsMetric", codec.getMeasureName(rowKey));
    // testing null metric
    dimensionValues = ImmutableList.of(new DimensionValue("myTag", "myValue"));
    rowKey = codec.createRowKey(dimensionValues, "mySingleTagMetric", ts);
    Assert.assertEquals((ts / resolution) * resolution, codec.getTimestamp(rowKey, column));
    Assert.assertEquals(dimensionValues, codec.getDimensionValues(rowKey));
    Assert.assertEquals("mySingleTagMetric", codec.getMeasureName(rowKey));
    // testing null value
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", null), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myNullTagMetric", ts);
    Assert.assertEquals((ts / resolution) * resolution, codec.getTimestamp(rowKey, column));
    Assert.assertEquals(dimensionValues, codec.getDimensionValues(rowKey));
    Assert.assertEquals("myNullTagMetric", codec.getMeasureName(rowKey));
    // testing fuzzy mask for fuzzy stuff in row key
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), // any value is accepted
    new DimensionValue("dimension2", null), new DimensionValue("dimension3", "value3"));
    byte[] mask = codec.createFuzzyRowMask(dimensionValues, "myMetric");
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    FuzzyRowFilter filter = new FuzzyRowFilter(ImmutableList.of(new ImmutablePair<>(rowKey, mask)));
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", "annnnnnnnnny"), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    Assert.assertEquals(FuzzyRowFilter.ReturnCode.INCLUDE, filter.filterRow(rowKey));
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value12"), new DimensionValue("dimension2", "value2"), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", "value2"), new DimensionValue("dimension3", "value13"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    // fuzzy in value should match the "null" value
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", null), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric", ts);
    Assert.assertEquals(FuzzyRowFilter.ReturnCode.INCLUDE, filter.filterRow(rowKey));
    dimensionValues = ImmutableList.of(new DimensionValue("dimension1", "value1"), new DimensionValue("dimension2", "value2"), new DimensionValue("dimension3", "value3"));
    rowKey = codec.createRowKey(dimensionValues, "myMetric2", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    rowKey = codec.createRowKey(dimensionValues, null, ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    rowKey = codec.createRowKey(new ArrayList<DimensionValue>(), "myMetric", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
    // testing fuzzy mask for fuzzy metric
    dimensionValues = ImmutableList.of(new DimensionValue("myTag", "myValue"));
    rowKey = codec.createRowKey(dimensionValues, null, ts);
    mask = codec.createFuzzyRowMask(dimensionValues, null);
    filter = new FuzzyRowFilter(ImmutableList.of(new ImmutablePair<>(rowKey, mask)));
    rowKey = codec.createRowKey(dimensionValues, "annyyy", ts);
    Assert.assertEquals(FuzzyRowFilter.ReturnCode.INCLUDE, filter.filterRow(rowKey));
    rowKey = codec.createRowKey(dimensionValues, "zzzzzzzzzzzz", ts);
    Assert.assertEquals(FuzzyRowFilter.ReturnCode.INCLUDE, filter.filterRow(rowKey));
    dimensionValues = ImmutableList.of(new DimensionValue("myTag", "myValue2"));
    rowKey = codec.createRowKey(dimensionValues, "metric", ts);
    Assert.assertTrue(FuzzyRowFilter.ReturnCode.INCLUDE != filter.filterRow(rowKey));
// todo: test prefix of multi dimension valued row key is not same one dimension valued row key
// todo: test that rollTimebaseInterval applies well
}
Also used : ArrayList(java.util.ArrayList) FuzzyRowFilter(co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter) InMemoryMetricsTable(co.cask.cdap.data2.dataset2.lib.table.inmemory.InMemoryMetricsTable) MetricsTable(co.cask.cdap.data2.dataset2.lib.table.MetricsTable) DimensionValue(co.cask.cdap.api.dataset.lib.cube.DimensionValue) ImmutablePair(co.cask.cdap.common.utils.ImmutablePair) InMemoryMetricsTable(co.cask.cdap.data2.dataset2.lib.table.inmemory.InMemoryMetricsTable) Test(org.junit.Test)

Example 10 with DimensionValue

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

the class FactTableTest method testSearch.

@Test
public void testSearch() throws Exception {
    InMemoryTableService.create("SearchEntityTable");
    InMemoryTableService.create("SearchDataTable");
    int resolution = Integer.MAX_VALUE;
    int rollTimebaseInterval = 2;
    FactTable table = new FactTable(new InMemoryMetricsTable("SearchDataTable"), new EntityTable(new InMemoryMetricsTable("SearchEntityTable")), resolution, rollTimebaseInterval);
    // aligned to start of resolution bucket
    // "/1000" because time is expected to be in seconds
    long ts = ((System.currentTimeMillis() / 1000) / resolution) * resolution;
    List<String> aggregationList = ImmutableList.of("dim1", "dim2", "dim3", "dim4");
    for (int i = 0; i < 2; i++) {
        writeInc(table, "metric-a" + i, ts + i, i, "dim1", "value1", "dim2", "value2", "dim3", "value3", "dim4", "value4");
        writeInc(table, "metric-b" + i, ts + i, i, "dim1", "value2", "dim2", "value2", "dim3", "x3", "dim4", "x4");
        writeInc(table, "metric-c" + i, ts + i, i, "dim1", "value2", "dim2", "value2", "dim3", null, "dim4", "y4");
        writeInc(table, "metric-d" + i, ts + i, i, "dim1", "value1", "dim2", "value3", "dim3", "y3", "dim4", null);
    }
    Map<String, String> slice = Maps.newHashMap();
    slice.put("dim1", "value2");
    slice.put("dim2", "value2");
    slice.put("dim3", null);
    // verify search dims
    testTagSearch(table, aggregationList, ImmutableMap.of("dim2", "value2"), ImmutableSet.of(new DimensionValue("dim1", "value1"), new DimensionValue("dim1", "value2")));
    testTagSearch(table, aggregationList, ImmutableMap.of("dim1", "value1"), ImmutableSet.of(new DimensionValue("dim2", "value2"), new DimensionValue("dim2", "value3")));
    testTagSearch(table, aggregationList, ImmutableMap.<String, String>of(), ImmutableSet.of(new DimensionValue("dim1", "value1"), new DimensionValue("dim1", "value2")));
    testTagSearch(table, aggregationList, ImmutableMap.of("dim1", "value2", "dim2", "value2"), ImmutableSet.of(new DimensionValue("dim3", "x3"), new DimensionValue("dim4", "y4")));
    testTagSearch(table, aggregationList, slice, ImmutableSet.of(new DimensionValue("dim4", "x4"), new DimensionValue("dim4", "y4")));
    testTagSearch(table, aggregationList, ImmutableMap.of("dim1", "value2", "dim2", "value3", "dim3", "y3"), ImmutableSet.<DimensionValue>of());
    // verify search metrics
    testMetricNamesSearch(table, aggregationList, ImmutableMap.of("dim1", "value1", "dim2", "value2", "dim3", "value3"), ImmutableSet.<String>of("metric-a0", "metric-a1"));
    testMetricNamesSearch(table, aggregationList, ImmutableMap.of("dim2", "value2"), ImmutableSet.<String>of("metric-a0", "metric-a1", "metric-b0", "metric-b1", "metric-c0", "metric-c1"));
    testMetricNamesSearch(table, aggregationList, slice, ImmutableSet.of("metric-b0", "metric-b1", "metric-c0", "metric-c1"));
}
Also used : DimensionValue(co.cask.cdap.api.dataset.lib.cube.DimensionValue) InMemoryMetricsTable(co.cask.cdap.data2.dataset2.lib.table.inmemory.InMemoryMetricsTable) Test(org.junit.Test)

Aggregations

DimensionValue (co.cask.cdap.api.dataset.lib.cube.DimensionValue)19 FactTable (co.cask.cdap.data2.dataset2.lib.timeseries.FactTable)5 Test (org.junit.Test)5 TimeValue (co.cask.cdap.api.dataset.lib.cube.TimeValue)4 Row (co.cask.cdap.api.dataset.table.Row)4 InMemoryMetricsTable (co.cask.cdap.data2.dataset2.lib.table.inmemory.InMemoryMetricsTable)4 Map (java.util.Map)4 Scanner (co.cask.cdap.api.dataset.table.Scanner)3 FuzzyRowFilter (co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter)3 LinkedHashMap (java.util.LinkedHashMap)3 CubeFact (co.cask.cdap.api.dataset.lib.cube.CubeFact)2 Measurement (co.cask.cdap.api.dataset.lib.cube.Measurement)2 TimeSeries (co.cask.cdap.api.dataset.lib.cube.TimeSeries)2 FactScan (co.cask.cdap.data2.dataset2.lib.timeseries.FactScan)2 URL (java.net.URL)2 ArrayList (java.util.ArrayList)2 AggregationFunction (co.cask.cdap.api.dataset.lib.cube.AggregationFunction)1 CubeExploreQuery (co.cask.cdap.api.dataset.lib.cube.CubeExploreQuery)1 CubeQuery (co.cask.cdap.api.dataset.lib.cube.CubeQuery)1 TagValue (co.cask.cdap.api.metrics.TagValue)1