use of io.druid.query.dimension.DimensionSpec 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, "");
}
use of io.druid.query.dimension.DimensionSpec 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());
}
use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.
the class DefaultLimitSpecTest method testBuildWithExplicitOrder.
@Test
public void testBuildWithExplicitOrder() {
DefaultLimitSpec limitSpec = new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("k1", OrderByColumnSpec.Direction.ASCENDING)), 2);
Function<Sequence<Row>, Sequence<Row>> limitFn = limitSpec.build(ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec("k1", "k1")), ImmutableList.<AggregatorFactory>of(new LongSumAggregatorFactory("k2", "k2")), ImmutableList.<PostAggregator>of(new ConstantPostAggregator("k3", 1L)));
Assert.assertEquals(ImmutableList.of(testRowsList.get(0), testRowsList.get(1)), Sequences.toList(limitFn.apply(testRowsSequence), new ArrayList<Row>()));
// if there is an aggregator with same name then that is used to build ordering
limitFn = limitSpec.build(ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec("k1", "k1")), ImmutableList.<AggregatorFactory>of(new LongSumAggregatorFactory("k1", "k1")), ImmutableList.<PostAggregator>of(new ConstantPostAggregator("k3", 1L)));
Assert.assertEquals(ImmutableList.of(testRowsList.get(2), testRowsList.get(0)), Sequences.toList(limitFn.apply(testRowsSequence), new ArrayList<Row>()));
// if there is a post-aggregator with same name then that is used to build ordering
limitFn = limitSpec.build(ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec("k1", "k1")), ImmutableList.<AggregatorFactory>of(new LongSumAggregatorFactory("k2", "k2")), ImmutableList.<PostAggregator>of(new ArithmeticPostAggregator("k1", "+", ImmutableList.<PostAggregator>of(new ConstantPostAggregator("x", 1), new ConstantPostAggregator("y", 1)))));
Assert.assertEquals((List) ImmutableList.of(testRowsList.get(2), testRowsList.get(0)), (List) Sequences.toList(limitFn.apply(testRowsSequence), new ArrayList<Row>()));
// makes same result
limitFn = limitSpec.build(ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec("k1", "k1")), ImmutableList.<AggregatorFactory>of(new LongSumAggregatorFactory("k2", "k2")), ImmutableList.<PostAggregator>of(new ExpressionPostAggregator("k1", "1 + 1")));
Assert.assertEquals((List) ImmutableList.of(testRowsList.get(2), testRowsList.get(0)), (List) Sequences.toList(limitFn.apply(testRowsSequence), new ArrayList<Row>()));
}
use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.
the class SelectQueryRunnerTest method testFullOnSelectWithLongAndFloatWithExFn.
@Test
public void testFullOnSelectWithLongAndFloatWithExFn() {
String jsFn = "function(str) { return 'super-' + str; }";
ExtractionFn jsExtractionFn = new JavaScriptExtractionFn(jsFn, false, JavaScriptConfig.getEnabledInstance());
List<DimensionSpec> dimSpecs = Arrays.<DimensionSpec>asList(new ExtractionDimensionSpec(QueryRunnerTestHelper.indexMetric, "floatIndex", jsExtractionFn), new ExtractionDimensionSpec(Column.TIME_COLUMN_NAME, "longTime", jsExtractionFn));
SelectQuery query = newTestQuery().dimensionSpecs(dimSpecs).metrics(Arrays.asList(Column.TIME_COLUMN_NAME, "index")).intervals(I_0112_0114).build();
HashMap<String, Object> context = new HashMap<String, Object>();
Iterable<Result<SelectResultValue>> results = Sequences.toList(runner.run(query, context), Lists.<Result<SelectResultValue>>newArrayList());
List<Result<SelectResultValue>> expectedResultsAsc = Arrays.asList(new Result<SelectResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SelectResultValue(ImmutableMap.of(QueryRunnerTestHelper.segmentId, 2), Sets.newHashSet("null_column", "floatIndex", "longTime"), Sets.newHashSet("__time", "index"), Arrays.asList(new EventHolder(QueryRunnerTestHelper.segmentId, 0, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("longTime", "super-1294790400000").put("floatIndex", "super-100").put(QueryRunnerTestHelper.indexMetric, 100.000000F).put(Column.TIME_COLUMN_NAME, 1294790400000L).build()), new EventHolder(QueryRunnerTestHelper.segmentId, 1, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("longTime", "super-1294790400000").put("floatIndex", "super-100").put(QueryRunnerTestHelper.indexMetric, 100.000000F).put(Column.TIME_COLUMN_NAME, 1294790400000L).build()), new EventHolder(QueryRunnerTestHelper.segmentId, 2, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("longTime", "super-1294790400000").put("floatIndex", "super-100").put(QueryRunnerTestHelper.indexMetric, 100.000000F).put(Column.TIME_COLUMN_NAME, 1294790400000L).build())))));
List<Result<SelectResultValue>> expectedResultsDsc = Arrays.asList(new Result<SelectResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SelectResultValue(ImmutableMap.of(QueryRunnerTestHelper.segmentId, -3), Sets.newHashSet("null_column", "floatIndex", "longTime"), Sets.newHashSet("__time", "index"), Arrays.asList(new EventHolder(QueryRunnerTestHelper.segmentId, -1, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-13T00:00:00.000Z")).put("longTime", "super-1294876800000").put("floatIndex", "super-1564.61767578125").put(QueryRunnerTestHelper.indexMetric, 1564.6177f).put(Column.TIME_COLUMN_NAME, 1294876800000L).build()), new EventHolder(QueryRunnerTestHelper.segmentId, -2, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-13T00:00:00.000Z")).put("longTime", "super-1294876800000").put("floatIndex", "super-826.0601806640625").put(QueryRunnerTestHelper.indexMetric, 826.0602f).put(Column.TIME_COLUMN_NAME, 1294876800000L).build()), new EventHolder(QueryRunnerTestHelper.segmentId, -3, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-13T00:00:00.000Z")).put("longTime", "super-1294876800000").put("floatIndex", "super-1689.0128173828125").put(QueryRunnerTestHelper.indexMetric, 1689.0128f).put(Column.TIME_COLUMN_NAME, 1294876800000L).build())))));
verify(descending ? expectedResultsDsc : expectedResultsAsc, populateNullColumnAtLastForQueryableIndexCase(results, "null_column"));
}
use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.
the class SelectQueryRunnerTest method testFullOnSelectWithDimensionSpec.
@Test
public void testFullOnSelectWithDimensionSpec() {
Map<String, String> map = new HashMap<>();
map.put("automotive", "automotive0");
map.put("business", "business0");
map.put("entertainment", "entertainment0");
map.put("health", "health0");
map.put("mezzanine", "mezzanine0");
map.put("news", "news0");
map.put("premium", "premium0");
map.put("technology", "technology0");
map.put("travel", "travel0");
SelectQuery query = newTestQuery().dimensionSpecs(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, "mar"), new ExtractionDimensionSpec(QueryRunnerTestHelper.qualityDimension, "qual", new LookupExtractionFn(new MapLookupExtractor(map, true), false, null, true, false)), new DefaultDimensionSpec(QueryRunnerTestHelper.placementDimension, "place"))).build();
HashMap<String, Object> context = new HashMap<String, Object>();
Iterable<Result<SelectResultValue>> results = Sequences.toList(runner.run(query, context), Lists.<Result<SelectResultValue>>newArrayList());
List<Result<SelectResultValue>> expectedResultsAsc = Arrays.asList(new Result<SelectResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SelectResultValue(ImmutableMap.of(QueryRunnerTestHelper.segmentId, 2), Sets.newHashSet("mar", "qual", "place"), Sets.newHashSet("index", "quality_uniques", "indexMin", "indexMaxPlusTen"), Arrays.asList(new EventHolder(QueryRunnerTestHelper.segmentId, 0, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("mar", "spot").put("qual", "automotive0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 100.000000F).build()), new EventHolder(QueryRunnerTestHelper.segmentId, 1, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("mar", "spot").put("qual", "business0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 100.000000F).build()), new EventHolder(QueryRunnerTestHelper.segmentId, 2, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-01-12T00:00:00.000Z")).put("mar", "spot").put("qual", "entertainment0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 100.000000F).build())))));
List<Result<SelectResultValue>> expectedResultsDsc = Arrays.asList(new Result<SelectResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SelectResultValue(ImmutableMap.of(QueryRunnerTestHelper.segmentId, -3), Sets.newHashSet("mar", "qual", "place"), Sets.newHashSet("index", "quality_uniques", "indexMin", "indexMaxPlusTen"), Arrays.asList(new EventHolder(QueryRunnerTestHelper.segmentId, -1, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-04-15T00:00:00.000Z")).put("mar", "upfront").put("qual", "premium0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 780.27197265625F).build()), new EventHolder(QueryRunnerTestHelper.segmentId, -2, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-04-15T00:00:00.000Z")).put("mar", "upfront").put("qual", "mezzanine0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 962.731201171875F).build()), new EventHolder(QueryRunnerTestHelper.segmentId, -3, new ImmutableMap.Builder<String, Object>().put(EventHolder.timestampKey, new DateTime("2011-04-15T00:00:00.000Z")).put("mar", "total_market").put("qual", "premium0").put("place", "preferred").put(QueryRunnerTestHelper.indexMetric, 1029.0570068359375F).build())))));
verify(descending ? expectedResultsDsc : expectedResultsAsc, results);
}
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