Examples with DefaultDimensionSpec io.druid.query.dimension.DefaultDimensionSpec used on opensource projects

Example 81 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class CardinalityAggregatorBenchmark method setUp.

protected void setUp() {
    Iterable<String[]> values = FluentIterable.from(ContiguousSet.create(Range.closedOpen(0, 500), DiscreteDomain.integers())).transform(new Function<Integer, String[]>() {

        @Override
        public String[] apply(Integer input) {
            if (multivaluedSized == 1) {
                return new String[] { input.toString() };
            } else {
                String[] res = new String[multivaluedSized];
                String value = input.toString();
                for (int i = 0; i < multivaluedSized; ++i) {
                    res[i] = value + i;
                }
                return res;
            }
        }
    }).cycle().limit(MAX);
    final DimensionSpec dimSpec1 = new DefaultDimensionSpec("dim1", "dim1");
    final CardinalityAggregatorTest.TestDimensionSelector dim1 = new CardinalityAggregatorTest.TestDimensionSelector(values, null);
    final ColumnSelectorPlus<CardinalityAggregatorColumnSelectorStrategy> dimInfo1 = new ColumnSelectorPlus(dimSpec1.getDimension(), dimSpec1.getOutputName(), new StringCardinalityAggregatorColumnSelectorStrategy(), dim1);
    selectorList = Lists.newArrayList((DimensionSelector) dim1);
    dimInfos = new ColumnSelectorPlus[] { dimInfo1 };
    agg = new CardinalityBufferAggregator(dimInfos, byRow);
    CardinalityAggregatorFactory factory = new CardinalityAggregatorFactory("billy", Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("dim1", "dim1")), byRow);
    int maxSize = factory.getMaxIntermediateSize();
    buf = ByteBuffer.allocate(maxSize + 64);
    pos = 10;
    buf.limit(pos + maxSize);
    agg.init(buf, pos);
}

Example 82 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class CardinalityAggregatorTest method testSerde.

@Test
public void testSerde() throws Exception {
    CardinalityAggregatorFactory factory = new CardinalityAggregatorFactory("billy", ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec("b", "b"), new DefaultDimensionSpec("a", "a"), new DefaultDimensionSpec("c", "c")), true);
    ObjectMapper objectMapper = new DefaultObjectMapper();
    Assert.assertEquals(factory, objectMapper.readValue(objectMapper.writeValueAsString(factory), AggregatorFactory.class));
    String fieldNamesOnly = "{\"type\":\"cardinality\",\"name\":\"billy\",\"fields\":[\"b\",\"a\",\"c\"],\"byRow\":true}";
    Assert.assertEquals(factory, objectMapper.readValue(fieldNamesOnly, AggregatorFactory.class));
    CardinalityAggregatorFactory factory2 = new CardinalityAggregatorFactory("billy", ImmutableList.<DimensionSpec>of(new ExtractionDimensionSpec("b", "b", new RegexDimExtractionFn(".*", false, null)), new RegexFilteredDimensionSpec(new DefaultDimensionSpec("a", "a"), ".*"), new DefaultDimensionSpec("c", "c")), true);
    Assert.assertEquals(factory2, objectMapper.readValue(objectMapper.writeValueAsString(factory2), AggregatorFactory.class));
}

Example 83 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class RealtimeManagerTest method testQueryWithMultipleSegmentSpec.

@Test(timeout = 10_000L)
public void testQueryWithMultipleSegmentSpec() throws IOException, InterruptedException {
    List<Row> expectedResults_both_partitions = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "business", "rows", 2L, "idx", 260L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "health", "rows", 2L, "idx", 236L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "mezzanine", "rows", 4L, "idx", 4556L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "news", "rows", 2L, "idx", 284L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "technology", "rows", 2L, "idx", 202L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "automotive", "rows", 2L, "idx", 288L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "entertainment", "rows", 2L, "idx", 326L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "automotive", "rows", 2L, "idx", 312L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "business", "rows", 2L, "idx", 248L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "entertainment", "rows", 2L, "idx", 326L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "health", "rows", 2L, "idx", 262L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "mezzanine", "rows", 6L, "idx", 5126L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "news", "rows", 2L, "idx", 254L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "premium", "rows", 6L, "idx", 5276L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "technology", "rows", 2L, "idx", 206L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "travel", "rows", 2L, "idx", 260L));
    List<Row> expectedResults_single_partition_26_28 = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "business", "rows", 1L, "idx", 130L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "health", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "mezzanine", "rows", 2L, "idx", 2278L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "news", "rows", 1L, "idx", 142L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "technology", "rows", 1L, "idx", 101L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "automotive", "rows", 1L, "idx", 144L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "entertainment", "rows", 1L, "idx", 163L));
    List<Row> expectedResults_single_partition_28_29 = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "automotive", "rows", 1L, "idx", 156L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "business", "rows", 1L, "idx", 124L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "entertainment", "rows", 1L, "idx", 163L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "health", "rows", 1L, "idx", 131L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "mezzanine", "rows", 3L, "idx", 2563L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "news", "rows", 1L, "idx", 127L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "premium", "rows", 3L, "idx", 2638L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "technology", "rows", 1L, "idx", 103L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "travel", "rows", 1L, "idx", 130L));
    chiefStartedLatch.await();
    final Interval interval_26_28 = new Interval("2011-03-26T00:00:00.000Z/2011-03-28T00:00:00.000Z");
    final Interval interval_28_29 = new Interval("2011-03-28T00:00:00.000Z/2011-03-29T00:00:00.000Z");
    final SegmentDescriptor descriptor_26_28_0 = new SegmentDescriptor(interval_26_28, "ver0", 0);
    final SegmentDescriptor descriptor_28_29_0 = new SegmentDescriptor(interval_28_29, "ver1", 0);
    final SegmentDescriptor descriptor_26_28_1 = new SegmentDescriptor(interval_26_28, "ver0", 1);
    final SegmentDescriptor descriptor_28_29_1 = new SegmentDescriptor(interval_28_29, "ver1", 1);
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(new MultipleSpecificSegmentSpec(ImmutableList.<SegmentDescriptor>of(descriptor_26_28_0, descriptor_28_29_0, descriptor_26_28_1, descriptor_28_29_1))).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    final Map<Interval, QueryRunner> runnerMap = ImmutableMap.<Interval, QueryRunner>of(interval_26_28, QueryRunnerTestHelper.makeQueryRunner(factory, "druid.sample.numeric.tsv.top", null), interval_28_29, QueryRunnerTestHelper.makeQueryRunner(factory, "druid.sample.numeric.tsv.bottom", null));
    plumber.setRunners(runnerMap);
    plumber2.setRunners(runnerMap);
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, query.getQuerySegmentSpec().lookup(query, realtimeManager3), query);
    TestHelper.assertExpectedObjects(expectedResults_both_partitions, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_26_28_0)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_26_28, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_28_29_0)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_28_29, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_26_28_1)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_26_28, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_28_29_1)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_28_29, results, "");
}

Example 84 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByNumericStringsAsNumericWithDecoration.

@Test
public void testGroupByNumericStringsAsNumericWithDecoration() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    // rows with `technology` have `170000` in the qualityNumericString field
    RegexFilteredDimensionSpec regexSpec = new RegexFilteredDimensionSpec(new DefaultDimensionSpec("qualityNumericString", "ql", ValueType.LONG), "170000");
    ListFilteredDimensionSpec listFilteredSpec = new ListFilteredDimensionSpec(new DefaultDimensionSpec("qualityNumericString", "qf", ValueType.FLOAT), Sets.newHashSet("170000"), true);
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(regexSpec, listFilteredSpec)).setDimFilter(new InDimFilter("quality", Arrays.asList("entertainment", "technology"), null)).setAggregatorSpecs(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count"))).setGranularity(QueryRunnerTestHelper.allGran).build();
    // "entertainment" rows are excluded by the decorated specs, they become empty rows
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "ql", 0L, "qf", 0.0, "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "ql", 170000L, "qf", 170000.0, "count", 2L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 85 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithOrderLimit4.

@Test
public void testGroupByWithOrderLimit4() {
    GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.allGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension))).setInterval(QueryRunnerTestHelper.fullOnInterval).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec(QueryRunnerTestHelper.marketDimension, OrderByColumnSpec.Direction.DESCENDING)), 3)).setAggregatorSpecs(Lists.<AggregatorFactory>newArrayList(QueryRunnerTestHelper.rowsCount)).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "upfront", "rows", 186L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "total_market", "rows", 186L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "spot", "rows", 837L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "order-limit");
}