Examples with DoubleFirstAggregatorFactory org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory used on opensource projects

Example 1 with DoubleFirstAggregatorFactory

use of org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory in project druid by druid-io.

the class AggregatorFactoryTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new JavaScriptAggregatorFactory("js", ImmutableList.of("col"), "function(a,b) { return a + b; }", "function() { return 0; }", "function(a,b) { return a + b }", new JavaScriptConfig(true)), // long aggs
    new LongSumAggregatorFactory("longSum", "long-col"), new LongMinAggregatorFactory("longMin", "long-col"), new LongMaxAggregatorFactory("longMax", "long-col"), new LongFirstAggregatorFactory("longFirst", "long-col", null), new LongLastAggregatorFactory("longLast", "long-col", null), new LongAnyAggregatorFactory("longAny", "long-col"), // double aggs
    new DoubleSumAggregatorFactory("doubleSum", "double-col"), new DoubleMinAggregatorFactory("doubleMin", "double-col"), new DoubleMaxAggregatorFactory("doubleMax", "double-col"), new DoubleFirstAggregatorFactory("doubleFirst", "double-col", null), new DoubleLastAggregatorFactory("doubleLast", "double-col", null), new DoubleAnyAggregatorFactory("doubleAny", "double-col"), new DoubleMeanAggregatorFactory("doubleMean", "double-col"), // float aggs
    new FloatSumAggregatorFactory("floatSum", "float-col"), new FloatMinAggregatorFactory("floatMin", "float-col"), new FloatMaxAggregatorFactory("floatMax", "float-col"), new FloatFirstAggregatorFactory("floatFirst", "float-col", null), new FloatLastAggregatorFactory("floatLast", "float-col", null), new FloatAnyAggregatorFactory("floatAny", "float-col"), // string aggregators
    new StringFirstAggregatorFactory("stringFirst", "col", null, 1024), new StringLastAggregatorFactory("stringLast", "col", null, 1024), new StringAnyAggregatorFactory("stringAny", "col", 1024), // sketch aggs
    new CardinalityAggregatorFactory("cardinality", ImmutableList.of(DefaultDimensionSpec.of("some-col")), false), new HyperUniquesAggregatorFactory("hyperUnique", "hyperunique"), new HistogramAggregatorFactory("histogram", "histogram", ImmutableList.of(0.25f, 0.5f, 0.75f)), // delegate aggs
    new FilteredAggregatorFactory(new HyperUniquesAggregatorFactory("filtered", "hyperunique"), new SelectorDimFilter("col", "hello", null)), new SuppressedAggregatorFactory(new HyperUniquesAggregatorFactory("suppressed", "hyperunique"))).postAggregators(new FinalizingFieldAccessPostAggregator("count-finalize", "count"), new FinalizingFieldAccessPostAggregator("js-finalize", "js"), // long aggs
    new FinalizingFieldAccessPostAggregator("longSum-finalize", "longSum"), new FinalizingFieldAccessPostAggregator("longMin-finalize", "longMin"), new FinalizingFieldAccessPostAggregator("longMax-finalize", "longMax"), new FinalizingFieldAccessPostAggregator("longFirst-finalize", "longFirst"), new FinalizingFieldAccessPostAggregator("longLast-finalize", "longLast"), new FinalizingFieldAccessPostAggregator("longAny-finalize", "longAny"), // double
    new FinalizingFieldAccessPostAggregator("doubleSum-finalize", "doubleSum"), new FinalizingFieldAccessPostAggregator("doubleMin-finalize", "doubleMin"), new FinalizingFieldAccessPostAggregator("doubleMax-finalize", "doubleMax"), new FinalizingFieldAccessPostAggregator("doubleFirst-finalize", "doubleFirst"), new FinalizingFieldAccessPostAggregator("doubleLast-finalize", "doubleLast"), new FinalizingFieldAccessPostAggregator("doubleAny-finalize", "doubleAny"), new FinalizingFieldAccessPostAggregator("doubleMean-finalize", "doubleMean"), // finalized floats
    new FinalizingFieldAccessPostAggregator("floatSum-finalize", "floatSum"), new FinalizingFieldAccessPostAggregator("floatMin-finalize", "floatMin"), new FinalizingFieldAccessPostAggregator("floatMax-finalize", "floatMax"), new FinalizingFieldAccessPostAggregator("floatFirst-finalize", "floatFirst"), new FinalizingFieldAccessPostAggregator("floatLast-finalize", "floatLast"), new FinalizingFieldAccessPostAggregator("floatAny-finalize", "floatAny"), // finalized strings
    new FinalizingFieldAccessPostAggregator("stringFirst-finalize", "stringFirst"), new FinalizingFieldAccessPostAggregator("stringLast-finalize", "stringLast"), new FinalizingFieldAccessPostAggregator("stringAny-finalize", "stringAny"), // finalized sketch
    new FinalizingFieldAccessPostAggregator("cardinality-finalize", "cardinality"), new FinalizingFieldAccessPostAggregator("hyperUnique-finalize", "hyperUnique"), new FinalizingFieldAccessPostAggregator("histogram-finalize", "histogram"), // finalized delegate
    new FinalizingFieldAccessPostAggregator("filtered-finalize", "filtered"), new FinalizingFieldAccessPostAggregator("suppressed-finalize", "suppressed")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("js", ColumnType.FLOAT).add("longSum", ColumnType.LONG).add("longMin", ColumnType.LONG).add("longMax", ColumnType.LONG).add("longFirst", ColumnType.LONG).add("longLast", ColumnType.LONG).add("longAny", ColumnType.LONG).add("doubleSum", ColumnType.DOUBLE).add("doubleMin", ColumnType.DOUBLE).add("doubleMax", ColumnType.DOUBLE).add("doubleFirst", ColumnType.DOUBLE).add("doubleLast", ColumnType.DOUBLE).add("doubleAny", ColumnType.DOUBLE).add("doubleMean", null).add("floatSum", ColumnType.FLOAT).add("floatMin", ColumnType.FLOAT).add("floatMax", ColumnType.FLOAT).add("floatFirst", ColumnType.FLOAT).add("floatLast", ColumnType.FLOAT).add("floatAny", ColumnType.FLOAT).add("stringFirst", null).add("stringLast", null).add("stringAny", ColumnType.STRING).add("cardinality", null).add("hyperUnique", null).add("histogram", null).add("filtered", null).add("suppressed", null).add("count-finalize", ColumnType.LONG).add("js-finalize", ColumnType.FLOAT).add("longSum-finalize", ColumnType.LONG).add("longMin-finalize", ColumnType.LONG).add("longMax-finalize", ColumnType.LONG).add("longFirst-finalize", ColumnType.LONG).add("longLast-finalize", ColumnType.LONG).add("longAny-finalize", ColumnType.LONG).add("doubleSum-finalize", ColumnType.DOUBLE).add("doubleMin-finalize", ColumnType.DOUBLE).add("doubleMax-finalize", ColumnType.DOUBLE).add("doubleFirst-finalize", ColumnType.DOUBLE).add("doubleLast-finalize", ColumnType.DOUBLE).add("doubleAny-finalize", ColumnType.DOUBLE).add("doubleMean-finalize", ColumnType.DOUBLE).add("floatSum-finalize", ColumnType.FLOAT).add("floatMin-finalize", ColumnType.FLOAT).add("floatMax-finalize", ColumnType.FLOAT).add("floatFirst-finalize", ColumnType.FLOAT).add("floatLast-finalize", ColumnType.FLOAT).add("floatAny-finalize", ColumnType.FLOAT).add("stringFirst-finalize", ColumnType.STRING).add("stringLast-finalize", ColumnType.STRING).add("stringAny-finalize", ColumnType.STRING).add("cardinality-finalize", ColumnType.DOUBLE).add("hyperUnique-finalize", ColumnType.DOUBLE).add("histogram-finalize", HistogramAggregatorFactory.TYPE_VISUAL).add("filtered-finalize", ColumnType.DOUBLE).add("suppressed-finalize", ColumnType.DOUBLE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 2 with DoubleFirstAggregatorFactory

use of org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeseriesWithFirstLastAggregator.

@Test
public void testTimeseriesWithFirstLastAggregator() {
    // Cannot vectorize due to "doubleFirst", "doubleLast" aggregators.
    cannotVectorize();
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.MONTH_GRAN).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(ImmutableList.of(new DoubleFirstAggregatorFactory("first", "index", null), new DoubleLastAggregatorFactory("last", "index", null))).descending(descending).context(makeContext()).build();
    // There's a difference between ascending and descending results since granularity of druid.sample.tsv is days,
    // with multiple first and last times. The traversal order difference cause the first and last aggregator
    // to select different value from the list of first and last dates
    List<Result<TimeseriesResultValue>> expectedAscendingResults = ImmutableList.of(new Result<>(DateTimes.of("2011-01-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(100.000000).doubleValue(), "last", new Float(943.497198).doubleValue()))), new Result<>(DateTimes.of("2011-02-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(132.123776).doubleValue(), "last", new Float(1101.918270).doubleValue()))), new Result<>(DateTimes.of("2011-03-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(153.059937).doubleValue(), "last", new Float(1063.201156).doubleValue()))), new Result<>(DateTimes.of("2011-04-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(135.885094).doubleValue(), "last", new Float(780.271977).doubleValue()))));
    List<Result<TimeseriesResultValue>> expectedDescendingResults = ImmutableList.of(new Result<>(DateTimes.of("2011-04-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(1234.247546).doubleValue(), "last", new Float(106.793700).doubleValue()))), new Result<>(DateTimes.of("2011-03-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(1004.940887).doubleValue(), "last", new Float(151.752485).doubleValue()))), new Result<>(DateTimes.of("2011-02-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(913.561076).doubleValue(), "last", new Float(122.258195).doubleValue()))), new Result<>(DateTimes.of("2011-01-01"), new TimeseriesResultValue(ImmutableMap.of("first", new Float(800.000000).doubleValue(), "last", new Float(133.740047).doubleValue()))));
    Iterable<Result<TimeseriesResultValue>> actualResults = runner.run(QueryPlus.wrap(query)).toList();
    if (descending) {
        TestHelper.assertExpectedResults(expectedDescendingResults, actualResults);
    } else {
        TestHelper.assertExpectedResults(expectedAscendingResults, actualResults);
    }
}

Example 3 with DoubleFirstAggregatorFactory

use of org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testEmptyTimeseries.

@Test
public void testEmptyTimeseries() {
    // Cannot vectorize due to "doubleFirst" aggregator.
    cannotVectorize();
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).intervals(QueryRunnerTestHelper.EMPTY_INTERVAL).aggregators(Arrays.asList(QueryRunnerTestHelper.ROWS_COUNT, QueryRunnerTestHelper.INDEX_DOUBLE_SUM, new DoubleFirstAggregatorFactory("first", "index", null))).descending(descending).context(makeContext()).build();
    Map<String, Object> resultMap = new HashMap<>();
    resultMap.put("rows", 0L);
    resultMap.put("index", NullHandling.defaultDoubleValue());
    resultMap.put("first", NullHandling.defaultDoubleValue());
    List<Result<TimeseriesResultValue>> expectedResults = ImmutableList.of(new Result<>(DateTimes.of("2020-04-02"), new TimeseriesResultValue(resultMap)));
    Iterable<Result<TimeseriesResultValue>> actualResults = runner.run(QueryPlus.wrap(query)).toList();
    TestHelper.assertExpectedResults(expectedResults, actualResults);
}

Example 4 with DoubleFirstAggregatorFactory

use of org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory in project druid by druid-io.

the class CalciteQueryTest method testOrderByEarliestDouble.

@Test
public void testOrderByEarliestDouble() throws Exception {
    // Cannot vectorize EARLIEST aggregator.
    skipVectorize();
    List<Object[]> expected;
    if (NullHandling.replaceWithDefault()) {
        expected = ImmutableList.of(new Object[] { "1", 0.0 }, new Object[] { "2", 0.0 }, new Object[] { "abc", 0.0 }, new Object[] { "def", 0.0 }, new Object[] { "", 1.0 }, new Object[] { "10.1", 1.7 });
    } else {
        expected = ImmutableList.of(new Object[] { "1", null }, new Object[] { "abc", null }, new Object[] { "def", null }, new Object[] { "2", 0.0 }, new Object[] { "", 1.0 }, new Object[] { "10.1", 1.7 });
    }
    testQuery("SELECT dim1, EARLIEST(d1) FROM druid.numfoo GROUP BY 1 ORDER BY 2 LIMIT 10", ImmutableList.of(new TopNQueryBuilder().dataSource(CalciteTests.DATASOURCE3).intervals(querySegmentSpec(Filtration.eternity())).granularity(Granularities.ALL).dimension(new DefaultDimensionSpec("dim1", "_d0")).aggregators(aggregators(new DoubleFirstAggregatorFactory("a0", "d1", null))).metric(new InvertedTopNMetricSpec(new NumericTopNMetricSpec("a0"))).threshold(10).context(QUERY_CONTEXT_DEFAULT).build()), expected);
}

Example 5 with DoubleFirstAggregatorFactory

use of org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory in project druid by druid-io.

the class CalciteQueryTest method testPrimitiveEarliestInSubquery.

// This test the off-heap (buffer) version of the EarliestAggregator (Double/Float/Long)
@Test
public void testPrimitiveEarliestInSubquery() throws Exception {
    // Cannot vectorize EARLIEST aggregator.
    skipVectorize();
    testQuery("SELECT SUM(val1), SUM(val2), SUM(val3) FROM (SELECT dim2, EARLIEST(m1) AS val1, EARLIEST(cnt) AS val2, EARLIEST(m2) AS val3 FROM foo GROUP BY dim2)", ImmutableList.of(GroupByQuery.builder().setDataSource(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setDimensions(dimensions(new DefaultDimensionSpec("dim2", "d0"))).setAggregatorSpecs(aggregators(new FloatFirstAggregatorFactory("a0:a", "m1", null), new LongFirstAggregatorFactory("a1:a", "cnt", null), new DoubleFirstAggregatorFactory("a2:a", "m2", null))).setPostAggregatorSpecs(ImmutableList.of(new FinalizingFieldAccessPostAggregator("a0", "a0:a"), new FinalizingFieldAccessPostAggregator("a1", "a1:a"), new FinalizingFieldAccessPostAggregator("a2", "a2:a"))).setContext(QUERY_CONTEXT_DEFAULT).build()).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setAggregatorSpecs(aggregators(new DoubleSumAggregatorFactory("_a0", "a0"), new LongSumAggregatorFactory("_a1", "a1"), new DoubleSumAggregatorFactory("_a2", "a2"))).setContext(QUERY_CONTEXT_DEFAULT).build()), NullHandling.sqlCompatible() ? ImmutableList.of(new Object[] { 11.0, 4L, 11.0 }) : ImmutableList.of(new Object[] { 8.0, 3L, 8.0 }));
}