Examples with MultipleIntervalSegmentSpec org.apache.druid.query.spec.MultipleIntervalSegmentSpec used on opensource projects

Example 61 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class BloomFilterSqlAggregatorTest method testBloomFilterAggLongVirtualColumn.

@Test
public void testBloomFilterAggLongVirtualColumn() throws Exception {
    cannotVectorize();
    BloomKFilter expected1 = new BloomKFilter(TEST_NUM_ENTRIES);
    for (InputRow row : CalciteTests.ROWS1_WITH_NUMERIC_DIMS) {
        Object raw = row.getRaw("l1");
        if (raw == null) {
            if (NullHandling.replaceWithDefault()) {
                expected1.addLong(NullHandling.defaultLongValue());
            } else {
                expected1.addBytes(null, 0, 0);
            }
        } else {
            expected1.addLong(2 * ((Number) raw).longValue());
        }
    }
    testQuery("SELECT\n" + "BLOOM_FILTER(l1 * 2, 1000)\n" + "FROM numfoo", ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE3).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).virtualColumns(new ExpressionVirtualColumn("v0", "(\"l1\" * 2)", ColumnType.LONG, TestExprMacroTable.INSTANCE)).aggregators(ImmutableList.of(new BloomFilterAggregatorFactory("a0:agg", new DefaultDimensionSpec("v0", "a0:v0"), TEST_NUM_ENTRIES))).context(BaseCalciteQueryTest.QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(new Object[] { CalciteTests.getJsonMapper().writeValueAsString(expected1) }));
}

Example 62 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class BloomFilterSqlAggregatorTest method testBloomFilterAggLong.

@Test
public void testBloomFilterAggLong() throws Exception {
    cannotVectorize();
    BloomKFilter expected3 = new BloomKFilter(TEST_NUM_ENTRIES);
    for (InputRow row : CalciteTests.ROWS1_WITH_NUMERIC_DIMS) {
        Object raw = row.getRaw("l1");
        if (raw == null) {
            if (NullHandling.replaceWithDefault()) {
                expected3.addLong(NullHandling.defaultLongValue());
            } else {
                expected3.addBytes(null, 0, 0);
            }
        } else {
            expected3.addLong(((Number) raw).longValue());
        }
    }
    testQuery("SELECT\n" + "BLOOM_FILTER(l1, 1000)\n" + "FROM numfoo", ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE3).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).aggregators(ImmutableList.of(new BloomFilterAggregatorFactory("a0:agg", new DefaultDimensionSpec("l1", "a0:l1", ColumnType.LONG), TEST_NUM_ENTRIES))).context(BaseCalciteQueryTest.QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(new Object[] { CalciteTests.getJsonMapper().writeValueAsString(expected3) }));
}

Example 63 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class FixedBucketsHistogramQuantileSqlAggregatorTest method testQuantileOnInnerQuery.

@Test
public void testQuantileOnInnerQuery() throws Exception {
    final List<Object[]> expectedResults;
    if (NullHandling.replaceWithDefault()) {
        expectedResults = ImmutableList.of(new Object[] { 7.0, 11.940000534057617 });
    } else {
        expectedResults = ImmutableList.of(new Object[] { 5.25, 8.920000076293945 });
    }
    testQuery("SELECT AVG(x), APPROX_QUANTILE_FIXED_BUCKETS(x, 0.98, 100, 0.0, 100.0)\n" + "FROM (SELECT dim2, SUM(m1) AS x FROM foo GROUP BY dim2)", ImmutableList.of(GroupByQuery.builder().setDataSource(new QueryDataSource(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("dim2", "d0")).setAggregatorSpecs(ImmutableList.of(new DoubleSumAggregatorFactory("a0", "m1"))).setContext(QUERY_CONTEXT_DEFAULT).build())).setInterval(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).setGranularity(Granularities.ALL).setAggregatorSpecs(new DoubleSumAggregatorFactory("_a0:sum", "a0"), new CountAggregatorFactory("_a0:count"), new FixedBucketsHistogramAggregatorFactory("_a1:agg", "a0", 100, 0, 100.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false)).setPostAggregatorSpecs(ImmutableList.of(new ArithmeticPostAggregator("_a0", "quotient", ImmutableList.of(new FieldAccessPostAggregator(null, "_a0:sum"), new FieldAccessPostAggregator(null, "_a0:count"))), new QuantilePostAggregator("_a1", "_a1:agg", 0.98f))).setContext(QUERY_CONTEXT_DEFAULT).build()), expectedResults);
}

Example 64 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class FixedBucketsHistogramQuantileSqlAggregatorTest method testQuantileOnFloatAndLongs.

@Test
public void testQuantileOnFloatAndLongs() throws Exception {
    final List<Object[]> expectedResults = ImmutableList.of(new Object[] { 1.0299999713897705, 3.5, 6.440000057220459, 6.470000267028809, 12.40999984741211, 6.494999885559082, 5.497499942779541, 6.499499797821045, 1.25 });
    testQuery("SELECT\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.01, 20, 0.0, 10.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.5, 20, 0.0, 10.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.98, 20, 0.0, 10.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.99, 20, 0.0, 10.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1 * 2, 0.97, 40, 0.0, 20.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.99, 20, 0.0, 10.0) FILTER(WHERE dim1 = 'abc'),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.999, 20, 0.0, 10.0) FILTER(WHERE dim1 <> 'abc'),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.999, 20, 0.0, 10.0) FILTER(WHERE dim1 = 'abc'),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(cnt, 0.5, 20, 0.0, 10.0)\n" + "FROM foo", ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE1).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).virtualColumns(new ExpressionVirtualColumn("v0", "(\"m1\" * 2)", ColumnType.FLOAT, TestExprMacroTable.INSTANCE)).aggregators(ImmutableList.of(new FixedBucketsHistogramAggregatorFactory("a0:agg", "m1", 20, 0.0d, 10.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false), new FixedBucketsHistogramAggregatorFactory("a4:agg", "v0", 40, 0.0d, 20.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false), new FilteredAggregatorFactory(new FixedBucketsHistogramAggregatorFactory("a5:agg", "m1", 20, 0.0d, 10.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false), new SelectorDimFilter("dim1", "abc", null)), new FilteredAggregatorFactory(new FixedBucketsHistogramAggregatorFactory("a6:agg", "m1", 20, 0.0d, 10.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false), new NotDimFilter(new SelectorDimFilter("dim1", "abc", null))), new FixedBucketsHistogramAggregatorFactory("a8:agg", "cnt", 20, 0.0d, 10.0d, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false))).postAggregators(new QuantilePostAggregator("a0", "a0:agg", 0.01f), new QuantilePostAggregator("a1", "a0:agg", 0.50f), new QuantilePostAggregator("a2", "a0:agg", 0.98f), new QuantilePostAggregator("a3", "a0:agg", 0.99f), new QuantilePostAggregator("a4", "a4:agg", 0.97f), new QuantilePostAggregator("a5", "a5:agg", 0.99f), new QuantilePostAggregator("a6", "a6:agg", 0.999f), new QuantilePostAggregator("a7", "a5:agg", 0.999f), new QuantilePostAggregator("a8", "a8:agg", 0.50f)).context(QUERY_CONTEXT_DEFAULT).build()), expectedResults);
}

Example 65 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class FixedBucketsHistogramQuantileSqlAggregatorTest method testEmptyTimeseriesResults.

@Test
public void testEmptyTimeseriesResults() throws Exception {
    cannotVectorize();
    testQuery("SELECT\n" + "APPROX_QUANTILE_FIXED_BUCKETS(fbhist_m1, 0.01, 20, 0.0, 10.0),\n" + "APPROX_QUANTILE_FIXED_BUCKETS(m1, 0.01, 20, 0.0, 10.0)\n" + "FROM foo WHERE dim2 = 0", ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE1).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).filters(bound("dim2", "0", "0", false, false, null, StringComparators.NUMERIC)).aggregators(ImmutableList.of(new FixedBucketsHistogramAggregatorFactory("a0:agg", "fbhist_m1", 20, 0.0, 10.0, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false), new FixedBucketsHistogramAggregatorFactory("a1:agg", "m1", 20, 0.0, 10.0, FixedBucketsHistogram.OutlierHandlingMode.IGNORE, false))).postAggregators(new QuantilePostAggregator("a0", "a0:agg", 0.01f), new QuantilePostAggregator("a1", "a1:agg", 0.01f)).context(QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(new Object[] { 0.0, 0.0 }));
}