Examples with TopNResultValue org.apache.druid.query.topn.TopNResultValue used on opensource projects

Example 26 with TopNResultValue

use of org.apache.druid.query.topn.TopNResultValue in project druid by druid-io.

the class MultiValuedDimensionTest method testTopNExpressionAutoTransform.

@Test
public void testTopNExpressionAutoTransform() {
    TopNQuery query = new TopNQueryBuilder().dataSource("xx").granularity(Granularities.ALL).dimension(new DefaultDimensionSpec("texpr", "texpr")).virtualColumns(new ExpressionVirtualColumn("texpr", "concat(tags, 'foo')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).metric("count").intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(new CountAggregatorFactory("count")).threshold(15).build();
    try (CloseableStupidPool<ByteBuffer> pool = TestQueryRunners.createDefaultNonBlockingPool()) {
        QueryRunnerFactory factory = new TopNQueryRunnerFactory(pool, new TopNQueryQueryToolChest(new TopNQueryConfig()), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
        QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(factory, new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), null);
        Sequence<Result<TopNResultValue>> result = runner.run(QueryPlus.wrap(query));
        List<Map<String, Object>> expected = ImmutableList.<Map<String, Object>>builder().add(ImmutableMap.of("texpr", "t3foo", "count", 2L)).add(ImmutableMap.of("texpr", "t5foo", "count", 2L)).add(ImmutableMap.of("texpr", "foo", "count", 1L)).add(ImmutableMap.of("texpr", "t1foo", "count", 1L)).add(ImmutableMap.of("texpr", "t2foo", "count", 1L)).add(ImmutableMap.of("texpr", "t4foo", "count", 1L)).add(ImmutableMap.of("texpr", "t6foo", "count", 1L)).add(ImmutableMap.of("texpr", "t7foo", "count", 1L)).build();
        List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<TopNResultValue>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(expected)));
        TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
    }
}

Example 27 with TopNResultValue

use of org.apache.druid.query.topn.TopNResultValue in project druid by druid-io.

the class MultiValuedDimensionTest method testTopNWithDimFilterAndWithFilteredDimSpec.

@Test
public void testTopNWithDimFilterAndWithFilteredDimSpec() {
    TopNQuery query = new TopNQueryBuilder().dataSource("xx").granularity(Granularities.ALL).dimension(new ListFilteredDimensionSpec(new DefaultDimensionSpec("tags", "tags"), ImmutableSet.of("t3"), null)).metric("count").intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(new CountAggregatorFactory("count")).threshold(5).filters(new SelectorDimFilter("tags", "t3", null)).build();
    try (CloseableStupidPool<ByteBuffer> pool = TestQueryRunners.createDefaultNonBlockingPool()) {
        QueryRunnerFactory factory = new TopNQueryRunnerFactory(pool, new TopNQueryQueryToolChest(new TopNQueryConfig()), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
        QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(factory, new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), null);
        Sequence<Result<TopNResultValue>> result = runner.run(QueryPlus.wrap(query));
        List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<TopNResultValue>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Collections.<Map<String, Object>>singletonList(ImmutableMap.of("tags", "t3", "count", 2L)))));
        TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
    }
}

Example 28 with TopNResultValue

use of org.apache.druid.query.topn.TopNResultValue in project druid by druid-io.

the class VarianceTopNQueryTest method testFullOnTopNOverUniques.

@Test
public void testFullOnTopNOverUniques() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(QueryRunnerTestHelper.MARKET_DIMENSION).metric(QueryRunnerTestHelper.UNIQUE_METRIC).threshold(3).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(VarianceTestHelper.COMMON_PLUS_VAR_AGGREGATORS, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("market", "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.2735290527344D).put("minIndex", 59.02102279663086D).put("index_var", 439.3851694586573D).build(), ImmutableMap.<String, Object>builder().put("market", "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.9217529296875D).put("minIndex", 792.3260498046875D).put("index_var", 27679.900887366413D).build(), ImmutableMap.<String, Object>builder().put("market", "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.06103515625D).put("minIndex", 545.9906005859375D).put("index_var", 79699.9780741607D).build()))));
    assertExpectedResults(expectedResults, query);
}

Example 29 with TopNResultValue

use of org.apache.druid.query.topn.TopNResultValue in project druid by druid-io.

the class ApproximateHistogramTopNQueryTest method testTopNWithApproximateHistogramAgg.

@Test
public void testTopNWithApproximateHistogramAgg() {
    ApproximateHistogramAggregatorFactory factory = new ApproximateHistogramAggregatorFactory("apphisto", "index", 10, 5, Float.NEGATIVE_INFINITY, Float.POSITIVE_INFINITY, false);
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(QueryRunnerTestHelper.MARKET_DIMENSION).metric(QueryRunnerTestHelper.dependentPostAggMetric).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.COMMON_DOUBLE_AGGREGATORS, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"), factory)))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT, QueryRunnerTestHelper.DEPENDENT_POST_AGG, new QuantilePostAggregator("quantile", "apphisto", 0.5f)).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<TopNResultValue>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put(QueryRunnerTestHelper.dependentPostAggMetric, 216053.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.9217529296875D).put("minIndex", 792.3260498046875D).put("quantile", 1085.6775f).put("apphisto", new Histogram(new float[] { 554.4271240234375f, 792.3260498046875f, 1030.2249755859375f, 1268.1239013671875f, 1506.0228271484375f, 1743.9217529296875f }, new double[] { 0.0D, 39.42073059082031D, 103.29110717773438D, 34.93659591674805D, 8.351564407348633D })).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put(QueryRunnerTestHelper.dependentPostAggMetric, 192420.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.06103515625D).put("minIndex", 545.9906005859375D).put("quantile", 880.9881f).put("apphisto", new Histogram(new float[] { 214.97299194335938f, 545.9906005859375f, 877.0081787109375f, 1208.0257568359375f, 1539.0433349609375f, 1870.06103515625f }, new double[] { 0.0D, 67.53287506103516D, 72.22068786621094D, 31.984678268432617D, 14.261756896972656D })).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put(QueryRunnerTestHelper.dependentPostAggMetric, 97282.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.2735290527344D).put("minIndex", 59.02102279663086D).put("quantile", 101.78856f).put("apphisto", new Histogram(new float[] { 4.457897186279297f, 59.02102279663086f, 113.58415222167969f, 168.14727783203125f, 222.7104034423828f, 277.2735290527344f }, new double[] { 0.0D, 462.4309997558594D, 357.5404968261719D, 15.022850036621094D, 2.0056631565093994D })).build()))));
    TestHelper.assertExpectedResults(expectedResults, runner.run(QueryPlus.wrap(query)));
}

Example 30 with TopNResultValue

use of org.apache.druid.query.topn.TopNResultValue in project druid by druid-io.

the class FixedBucketsHistogramTopNQueryTest method testTopNWithFixedHistogramAgg.

@Test
public void testTopNWithFixedHistogramAgg() {
    FixedBucketsHistogramAggregatorFactory factory = new FixedBucketsHistogramAggregatorFactory("histo", "index", 10, 0, 2000, FixedBucketsHistogram.OutlierHandlingMode.OVERFLOW, false);
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(QueryRunnerTestHelper.MARKET_DIMENSION).metric(QueryRunnerTestHelper.dependentPostAggMetric).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.COMMON_DOUBLE_AGGREGATORS, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"), factory)))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT, QueryRunnerTestHelper.DEPENDENT_POST_AGG, new QuantilePostAggregator("quantile", "histo", 0.5f)).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<TopNResultValue>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put(QueryRunnerTestHelper.dependentPostAggMetric, 216053.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.9217529296875D).put("minIndex", 792.3260498046875D).put("quantile", 1135.238f).put("histo", new FixedBucketsHistogram(0, 2000, 10, FixedBucketsHistogram.OutlierHandlingMode.OVERFLOW, new long[] { 0, 0, 0, 1, 21, 105, 42, 12, 5, 0 }, 186, 1743.92175, 792.326066, 0, 0, 0).toString()).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put(QueryRunnerTestHelper.dependentPostAggMetric, 192420.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.06103515625D).put("minIndex", 545.9906005859375D).put("quantile", 969.69696f).put("histo", new FixedBucketsHistogram(0, 2000, 10, FixedBucketsHistogram.OutlierHandlingMode.OVERFLOW, new long[] { 0, 0, 4, 33, 66, 35, 25, 11, 10, 2 }, 186, 1870.061029, 545.990623, 0, 0, 0).toString()).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put(QueryRunnerTestHelper.dependentPostAggMetric, 97282.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.2735290527344D).put("minIndex", 59.02102279663086D).put("quantile", 100.23952f).put("histo", new FixedBucketsHistogram(0, 2000, 10, FixedBucketsHistogram.OutlierHandlingMode.OVERFLOW, new long[] { 835, 2, 0, 0, 0, 0, 0, 0, 0, 0 }, 837, 277.273533, 59.021022, 0, 0, 0).toString()).build()))));
    List<Result<TopNResultValue>> results = runner.run(QueryPlus.wrap(query)).toList();
    TestHelper.assertExpectedResults(expectedResults, results);
}