Examples with TimeseriesQuery org.apache.druid.query.timeseries.TimeseriesQuery used on opensource projects

Example 66 with TimeseriesQuery

use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.

the class BloomFilterAggregatorFactoryTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new BloomFilterAggregatorFactory("bloom", DefaultDimensionSpec.of("col"), 1024), new BloomFilterMergeAggregatorFactory("bloomMerge", "bloom", 1024)).postAggregators(new FieldAccessPostAggregator("bloom-access", "bloom"), new FinalizingFieldAccessPostAggregator("bloom-finalize", "bloom"), new FieldAccessPostAggregator("bloomMerge-access", "bloomMerge"), new FinalizingFieldAccessPostAggregator("bloomMerge-finalize", "bloomMerge")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("bloom", BloomFilterAggregatorFactory.TYPE).add("bloomMerge", BloomFilterAggregatorFactory.TYPE).add("bloom-access", BloomFilterAggregatorFactory.TYPE).add("bloom-finalize", BloomFilterAggregatorFactory.TYPE).add("bloomMerge-access", BloomFilterAggregatorFactory.TYPE).add("bloomMerge-finalize", BloomFilterAggregatorFactory.TYPE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 67 with TimeseriesQuery

use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.

the class ApproximateHistogramPostAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new ApproximateHistogramAggregatorFactory("approxHisto", "col", null, null, null, null, false)).postAggregators(new BucketsPostAggregator("bucket", "approxHisto", 100, 0), new EqualBucketsPostAggregator("equal", "approxHisto", 5), new CustomBucketsPostAggregator("custom", "approxHisto", new float[] { 1.0f, 20.0f, 75.0f }), new MinPostAggregator("min", "approxHisto"), new MaxPostAggregator("max", "approxHisto"), new QuantilePostAggregator("quantile", "approxHisto", 0.5f), new QuantilesPostAggregator("quantiles", "approxHisto", new float[] { 0.2f, 0.5f, 0.75f })).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("approxHisto", null).add("bucket", HistogramAggregatorFactory.TYPE).add("equal", HistogramAggregatorFactory.TYPE).add("custom", HistogramAggregatorFactory.TYPE).add("min", ColumnType.DOUBLE).add("max", ColumnType.DOUBLE).add("quantile", ColumnType.FLOAT).add("quantiles", ColumnType.UNKNOWN_COMPLEX).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 68 with TimeseriesQuery

use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.

the class ApproximateHistogramAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new ApproximateHistogramAggregatorFactory("approxHisto", "col", null, null, null, null, false), new ApproximateHistogramAggregatorFactory("approxHistoBin", "col", null, null, null, null, true)).postAggregators(new FieldAccessPostAggregator("approxHisto-access", "approxHisto"), new FinalizingFieldAccessPostAggregator("approxHisto-finalize", "approxHisto"), new FieldAccessPostAggregator("approxHistoBin-access", "approxHistoBin"), new FinalizingFieldAccessPostAggregator("approxHistoBin-finalize", "approxHistoBin")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("approxHisto", null).add("approxHistoBin", ApproximateHistogramAggregatorFactory.TYPE).add("approxHisto-access", ApproximateHistogramAggregatorFactory.TYPE).add("approxHisto-finalize", HistogramAggregatorFactory.TYPE).add("approxHistoBin-access", ApproximateHistogramAggregatorFactory.TYPE).add("approxHistoBin-finalize", ApproximateHistogramAggregatorFactory.TYPE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 69 with TimeseriesQuery

use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.

the class FixedBucketsHistogramBufferAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new FixedBucketsHistogramAggregatorFactory("fixedHisto", "col", null, 0, 100, null, false), new FixedBucketsHistogramAggregatorFactory("fixedHistoBin", "col", null, 0, 100, null, true)).postAggregators(new FieldAccessPostAggregator("fixedHisto-access", "fixedHisto"), new FinalizingFieldAccessPostAggregator("fixedHisto-finalize", "fixedHisto"), new FieldAccessPostAggregator("fixedHistoBin-access", "fixedHistoBin"), new FinalizingFieldAccessPostAggregator("fixedHistoBin-finalize", "fixedHistoBin")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("fixedHisto", null).add("fixedHistoBin", FixedBucketsHistogramAggregator.TYPE).add("fixedHisto-access", FixedBucketsHistogramAggregator.TYPE).add("fixedHisto-finalize", ColumnType.STRING).add("fixedHistoBin-access", FixedBucketsHistogramAggregator.TYPE).add("fixedHistoBin-finalize", FixedBucketsHistogramAggregator.TYPE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 70 with TimeseriesQuery

use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.

the class TimeseriesBenchmark method setupQueries.

private void setupQueries() {
    // queries for the basic schema
    Map<String, TimeseriesQuery> basicQueries = new LinkedHashMap<>();
    GeneratorSchemaInfo basicSchema = GeneratorBasicSchemas.SCHEMA_MAP.get("basic");
    {
        // basic.A
        QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
        List<AggregatorFactory> queryAggs = new ArrayList<>();
        queryAggs.add(new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential"));
        queryAggs.add(new LongMaxAggregatorFactory("maxLongUniform", "maxLongUniform"));
        queryAggs.add(new DoubleSumAggregatorFactory("sumFloatNormal", "sumFloatNormal"));
        queryAggs.add(new DoubleMinAggregatorFactory("minFloatZipf", "minFloatZipf"));
        queryAggs.add(new HyperUniquesAggregatorFactory("hyperUniquesMet", "hyper"));
        TimeseriesQuery queryA = Druids.newTimeseriesQueryBuilder().dataSource("blah").granularity(Granularities.ALL).intervals(intervalSpec).aggregators(queryAggs).descending(descending).build();
        basicQueries.put("A", queryA);
    }
    {
        QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
        List<AggregatorFactory> queryAggs = new ArrayList<>();
        LongSumAggregatorFactory lsaf = new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential");
        BoundDimFilter timeFilter = new BoundDimFilter(ColumnHolder.TIME_COLUMN_NAME, "200000", "300000", false, false, null, null, StringComparators.NUMERIC);
        queryAggs.add(new FilteredAggregatorFactory(lsaf, timeFilter));
        TimeseriesQuery timeFilterQuery = Druids.newTimeseriesQueryBuilder().dataSource("blah").granularity(Granularities.ALL).intervals(intervalSpec).aggregators(queryAggs).descending(descending).build();
        basicQueries.put("timeFilterNumeric", timeFilterQuery);
    }
    {
        QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
        List<AggregatorFactory> queryAggs = new ArrayList<>();
        LongSumAggregatorFactory lsaf = new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential");
        BoundDimFilter timeFilter = new BoundDimFilter(ColumnHolder.TIME_COLUMN_NAME, "200000", "300000", false, false, null, null, StringComparators.ALPHANUMERIC);
        queryAggs.add(new FilteredAggregatorFactory(lsaf, timeFilter));
        TimeseriesQuery timeFilterQuery = Druids.newTimeseriesQueryBuilder().dataSource("blah").granularity(Granularities.ALL).intervals(intervalSpec).aggregators(queryAggs).descending(descending).build();
        basicQueries.put("timeFilterAlphanumeric", timeFilterQuery);
    }
    {
        QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.utc(200000, 300000)));
        List<AggregatorFactory> queryAggs = new ArrayList<>();
        LongSumAggregatorFactory lsaf = new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential");
        queryAggs.add(lsaf);
        TimeseriesQuery timeFilterQuery = Druids.newTimeseriesQueryBuilder().dataSource("blah").granularity(Granularities.ALL).intervals(intervalSpec).aggregators(queryAggs).descending(descending).build();
        basicQueries.put("timeFilterByInterval", timeFilterQuery);
    }
    SCHEMA_QUERY_MAP.put("basic", basicQueries);
}