Examples with DefaultLimitSpec io.druid.query.groupby.orderby.DefaultLimitSpec used on opensource projects

Example 6 with DefaultLimitSpec

use of io.druid.query.groupby.orderby.DefaultLimitSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testLimitPerGrouping.

@Ignore
@Test
public // in time when Druid does support this, we can re-evaluate this test.
void testLimitPerGrouping() {
    GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.dayGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension))).setInterval(QueryRunnerTestHelper.firstToThird).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec("rows", OrderByColumnSpec.Direction.DESCENDING)), 2)).setAggregatorSpecs(Lists.<AggregatorFactory>newArrayList(QueryRunnerTestHelper.rowsCount)).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01T00:00:00.000Z", "market", "spot", "rows", 9L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02T00:00:00.000Z", "market", "spot", "rows", 9L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    Iterator resultsIter = results.iterator();
    Iterator expectedResultsIter = expectedResults.iterator();
    final Object next1 = resultsIter.next();
    Object expectedNext1 = expectedResultsIter.next();
    assertEquals("order-limit", expectedNext1, next1);
    final Object next2 = resultsIter.next();
    Object expectedNext2 = expectedResultsIter.next();
    Assert.assertNotEquals("order-limit", expectedNext2, next2);
}

Example 7 with DefaultLimitSpec

use of io.druid.query.groupby.orderby.DefaultLimitSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testSubqueryWithMultiColumnAggregators.

@Test
public void testSubqueryWithMultiColumnAggregators() {
    final GroupByQuery subquery = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setDimFilter(new JavaScriptDimFilter("market", "function(dim){ return true; }", null, JavaScriptConfig.getEnabledInstance())).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new DoubleSumAggregatorFactory("idx_subagg", "index"), new JavaScriptAggregatorFactory("js_agg", Arrays.asList("index", "market"), "function(current, index, dim){return current + index + dim.length;}", "function(){return 0;}", "function(a,b){return a + b;}", JavaScriptConfig.getEnabledInstance()))).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ArithmeticPostAggregator("idx_subpostagg", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_subagg", "idx_subagg"), new ConstantPostAggregator("thousand", 1000))))).setHavingSpec(new BaseHavingSpec() {

        @Override
        public boolean eval(Row row) {
            return (row.getFloatMetric("idx_subpostagg") < 3800);
        }

        @Override
        public byte[] getCacheKey() {
            return new byte[0];
        }
    }).addOrderByColumn("alias").setGranularity(QueryRunnerTestHelper.dayGran).build();
    final GroupByQuery query = GroupByQuery.builder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("alias", "alias"))).setAggregatorSpecs(Arrays.asList(new LongSumAggregatorFactory("rows", "rows"), new LongSumAggregatorFactory("idx", "idx_subpostagg"), new DoubleSumAggregatorFactory("js_outer_agg", "js_agg"))).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ArithmeticPostAggregator("idx_post", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_agg", "idx"), new ConstantPostAggregator("ten_thousand", 10000))))).setLimitSpec(new DefaultLimitSpec(Arrays.asList(new OrderByColumnSpec("alias", OrderByColumnSpec.Direction.DESCENDING)), 5)).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel", "rows", 1L, "idx_post", 11119.0, "idx", 1119L, "js_outer_agg", 123.92274475097656), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology", "rows", 1L, "idx_post", 11078.0, "idx", 1078L, "js_outer_agg", 82.62254333496094), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news", "rows", 1L, "idx_post", 11121.0, "idx", 1121L, "js_outer_agg", 125.58358001708984), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health", "rows", 1L, "idx_post", 11120.0, "idx", 1120L, "js_outer_agg", 124.13470458984375), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 1L, "idx_post", 11158.0, "idx", 1158L, "js_outer_agg", 162.74722290039062));
    // Subqueries are handled by the ToolChest
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 8 with DefaultLimitSpec

use of io.druid.query.groupby.orderby.DefaultLimitSpec in project druid by druid-io.

the class ApproximateHistogramGroupByQueryTest method testGroupByWithApproximateHistogramAgg.

@Test
public void testGroupByWithApproximateHistogramAgg() {
    ApproximateHistogramAggregatorFactory aggFactory = new ApproximateHistogramAggregatorFactory("apphisto", "index", 10, 5, Float.NEGATIVE_INFINITY, Float.POSITIVE_INFINITY);
    GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.allGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, "marketalias"))).setInterval(QueryRunnerTestHelper.fullOnInterval).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec("marketalias", OrderByColumnSpec.Direction.DESCENDING)), 1)).setAggregatorSpecs(Lists.newArrayList(QueryRunnerTestHelper.rowsCount, aggFactory)).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new QuantilePostAggregator("quantile", "apphisto", 0.5f))).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "marketalias", "upfront", "rows", 186L, "quantile", 880.9881f, "apphisto", new Histogram(new float[] { 214.97299194335938f, 545.9906005859375f, 877.0081787109375f, 1208.0257568359375f, 1539.0433349609375f, 1870.06103515625f }, new double[] { 0.0, 67.53287506103516, 72.22068786621094, 31.984678268432617, 14.261756896972656 })));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "approx-histo");
}

Example 9 with DefaultLimitSpec

use of io.druid.query.groupby.orderby.DefaultLimitSpec in project druid by druid-io.

the class ApproximateHistogramGroupByQueryTest method testGroupByWithSameNameComplexPostAgg.

@Test(expected = IllegalArgumentException.class)
public void testGroupByWithSameNameComplexPostAgg() {
    ApproximateHistogramAggregatorFactory aggFactory = new ApproximateHistogramAggregatorFactory("quantile", "index", 10, 5, Float.NEGATIVE_INFINITY, Float.POSITIVE_INFINITY);
    GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.allGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, "marketalias"))).setInterval(QueryRunnerTestHelper.fullOnInterval).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec("marketalias", OrderByColumnSpec.Direction.DESCENDING)), 1)).setAggregatorSpecs(Lists.newArrayList(QueryRunnerTestHelper.rowsCount, aggFactory)).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new QuantilePostAggregator("quantile", "quantile", 0.5f))).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "marketalias", "upfront", "rows", 186L, "quantile", 880.9881f));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "approx-histo");
}

Example 10 with DefaultLimitSpec

use of io.druid.query.groupby.orderby.DefaultLimitSpec in project druid by druid-io.

the class VarianceGroupByQueryTest method testPostAggHavingSpec.

@Test
public void testPostAggHavingSpec() {
    VarianceTestHelper.RowBuilder expect = new VarianceTestHelper.RowBuilder(new String[] { "alias", "rows", "index", "index_var", "index_stddev" });
    List<Row> expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "mezzanine", 6L, 4420L, 254083.76447001836, 504.06722217380724).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
    GroupByQuery query = GroupByQuery.builder().setDataSource(VarianceTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(VarianceTestHelper.rowsCount, VarianceTestHelper.indexLongSum, VarianceTestHelper.indexVarianceAggr)).setPostAggregatorSpecs(ImmutableList.<PostAggregator>of(VarianceTestHelper.stddevOfIndexPostAggr)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(// 3 rows
    new GreaterThanHavingSpec(VarianceTestHelper.stddevOfIndexMetric, 15L)))).build();
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
    query = query.withLimitSpec(new DefaultLimitSpec(Arrays.<OrderByColumnSpec>asList(OrderByColumnSpec.asc(VarianceTestHelper.stddevOfIndexMetric)), 2));
    expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
    results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}