Examples with DefaultDimensionSpec io.druid.query.dimension.DefaultDimensionSpec used on opensource projects

Example 51 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByOrderLimit.

@Test
public void testGroupByOrderLimit() throws Exception {
    GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).addOrderByColumn("rows").addOrderByColumn("alias", OrderByColumnSpec.Direction.DESCENDING).setGranularity(new PeriodGranularity(new Period("P1M"), null, null));
    final GroupByQuery query = builder.build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel", "rows", 2L, "idx", 243L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology", "rows", 2L, "idx", 177L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news", "rows", 2L, "idx", 221L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health", "rows", 2L, "idx", 216L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 2L, "idx", 319L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive", "rows", 2L, "idx", 269L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L));
    Map<String, Object> context = Maps.newHashMap();
    QueryRunner<Row> mergeRunner = factory.getToolchest().mergeResults(runner);
    TestHelper.assertExpectedObjects(expectedResults, mergeRunner.run(query, context), "no-limit");
    TestHelper.assertExpectedObjects(Iterables.limit(expectedResults, 5), mergeRunner.run(builder.limit(5).build(), context), "limited");
    // Now try it with an expression based aggregator.
    builder.limit(Integer.MAX_VALUE).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new DoubleSumAggregatorFactory("idx", null, "index / 2 + indexMin")));
    expectedResults = GroupByQueryRunnerTestHelper.createExpectedRows(new String[] { "__time", "alias", "rows", "idx" }, new Object[] { "2011-04-01", "travel", 2L, 365.4876403808594D }, new Object[] { "2011-04-01", "technology", 2L, 267.3737487792969D }, new Object[] { "2011-04-01", "news", 2L, 333.3147277832031D }, new Object[] { "2011-04-01", "health", 2L, 325.467529296875D }, new Object[] { "2011-04-01", "entertainment", 2L, 479.916015625D }, new Object[] { "2011-04-01", "business", 2L, 328.083740234375D }, new Object[] { "2011-04-01", "automotive", 2L, 405.5966796875D }, new Object[] { "2011-04-01", "premium", 6L, 6627.927734375D }, new Object[] { "2011-04-01", "mezzanine", 6L, 6635.47998046875D });
    TestHelper.assertExpectedObjects(expectedResults, mergeRunner.run(builder.build(), context), "no-limit");
    TestHelper.assertExpectedObjects(Iterables.limit(expectedResults, 5), mergeRunner.run(builder.limit(5).build(), context), "limited");
    // Now try it with an expression virtual column.
    builder.limit(Integer.MAX_VALUE).setVirtualColumns(new ExpressionVirtualColumn("expr", "index / 2 + indexMin")).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new DoubleSumAggregatorFactory("idx", "expr")));
    TestHelper.assertExpectedObjects(expectedResults, mergeRunner.run(builder.build(), context), "no-limit");
    TestHelper.assertExpectedObjects(Iterables.limit(expectedResults, 5), mergeRunner.run(builder.limit(5).build(), context), "limited");
}

Example 52 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithNoResult.

@Test
public void testGroupByWithNoResult() {
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.emptyInterval).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("market", "market"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, QueryRunnerTestHelper.indexLongSum, QueryRunnerTestHelper.qualityCardinality, new LongFirstAggregatorFactory("first", "index"), new LongLastAggregatorFactory("last", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = ImmutableList.of();
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    assertEquals(expectedResults, results);
}

Example 53 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec 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 54 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testEmptySubquery.

@Test
public void testEmptySubquery() {
    GroupByQuery subquery = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.emptyInterval).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    GroupByQuery query = GroupByQuery.builder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setAggregatorSpecs(Arrays.<AggregatorFactory>asList(new DoubleMaxAggregatorFactory("idx", "idx"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    Assert.assertFalse(results.iterator().hasNext());
}

Example 55 with DefaultDimensionSpec

use of io.druid.query.dimension.DefaultDimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithExtractionDimFilterCaseMappingValueIsNullOrEmpty.

@Test
public void testGroupByWithExtractionDimFilterCaseMappingValueIsNullOrEmpty() {
    Map<String, String> extractionMap = new HashMap<>();
    extractionMap.put("automotive", "automotive0");
    extractionMap.put("business", "business0");
    extractionMap.put("entertainment", "entertainment0");
    extractionMap.put("health", "health0");
    extractionMap.put("mezzanine", null);
    extractionMap.put("news", "");
    extractionMap.put("premium", "premium0");
    extractionMap.put("technology", "technology0");
    extractionMap.put("travel", "travel0");
    MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
    LookupExtractionFn lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, false);
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).setDimFilter(new ExtractionDimFilter("quality", "", lookupExtractionFn, null)).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2870L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news", "rows", 1L, "idx", 121L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2447L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news", "rows", 1L, "idx", 114L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}