use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.
the class AggregatorUtilTest method testNullPostAggregatorNames.
@Test
public void testNullPostAggregatorNames() {
AggregatorFactory agg1 = new DoubleSumAggregatorFactory("agg1", "value");
AggregatorFactory agg2 = new DoubleSumAggregatorFactory("agg2", "count");
PostAggregator postAgg1 = new ArithmeticPostAggregator(null, "*", Lists.<PostAggregator>newArrayList(new FieldAccessPostAggregator(null, "agg1"), new FieldAccessPostAggregator(null, "agg2")));
PostAggregator postAgg2 = new ArithmeticPostAggregator("postAgg", "/", Lists.<PostAggregator>newArrayList(new FieldAccessPostAggregator(null, "agg1"), new FieldAccessPostAggregator(null, "agg2")));
Assert.assertEquals(new Pair(Lists.newArrayList(agg1, agg2), Lists.newArrayList(postAgg2)), AggregatorUtil.condensedAggregators(Lists.newArrayList(agg1, agg2), Lists.newArrayList(postAgg1, postAgg2), "postAgg"));
}
use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.
the class GroupByQueryRunnerTest method testMergedPostAggHavingSpec.
@Test
public void testMergedPostAggHavingSpec() {
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L, "rows_times_10", 20.0), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L, "rows_times_10", 60.0), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L, "rows_times_10", 60.0));
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"))).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ArithmeticPostAggregator("rows_times_10", "*", Arrays.<PostAggregator>asList(new FieldAccessPostAggregator("rows", "rows"), new ConstantPostAggregator("const", 10L))))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(new GreaterThanHavingSpec("rows_times_10", 20L), new EqualToHavingSpec("idx", 217L))));
GroupByQuery fullQuery = builder.build();
QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner<Row>() {
@Override
public Sequence<Row> run(Query<Row> query, Map<String, Object> responseContext) {
// simulate two daily segments
final Query query1 = query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-02/2011-04-03"))));
final Query query2 = query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-03/2011-04-04"))));
return new MergeSequence(query.getResultOrdering(), Sequences.simple(Arrays.asList(runner.run(query1, responseContext), runner.run(query2, responseContext))));
}
});
Map<String, Object> context = Maps.newHashMap();
// add an extra layer of merging, simulate broker forwarding query to historical
TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(fullQuery, context), "merged");
fullQuery = fullQuery.withPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ExpressionPostAggregator("rows_times_10", "rows * 10.0")));
TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(fullQuery, context), "merged");
}
use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.
the class GroupByQueryRunnerTest method testSubqueryWithPostAggregators.
@Test
public void testSubqueryWithPostAggregators() {
final GroupByQuery subquery = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setDimFilter(new JavaScriptDimFilter("quality", "function(dim){ return true; }", null, JavaScriptConfig.getEnabledInstance())).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx_subagg", "index"))).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ArithmeticPostAggregator("idx_subpostagg", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_subagg", "idx_subagg"), new ConstantPostAggregator("thousand", 1000))))).setGranularity(QueryRunnerTestHelper.dayGran).build();
final GroupByQuery query = GroupByQuery.builder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("alias", "alias"))).setAggregatorSpecs(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("rows", "rows"), new LongSumAggregatorFactory("idx", "idx_subpostagg"))).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(new ArithmeticPostAggregator("idx_post", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_agg", "idx"), new ConstantPostAggregator("ten_thousand", 10000))))).setGranularity(QueryRunnerTestHelper.dayGran).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive", "rows", 1L, "idx_post", 11135.0, "idx", 1135L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 1L, "idx_post", 11118.0, "idx", 1118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 1L, "idx_post", 11158.0, "idx", 1158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health", "rows", 1L, "idx_post", 11120.0, "idx", 1120L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 3L, "idx_post", 13870.0, "idx", 3870L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news", "rows", 1L, "idx_post", 11121.0, "idx", 1121L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 3L, "idx_post", 13900.0, "idx", 3900L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology", "rows", 1L, "idx_post", 11078.0, "idx", 1078L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel", "rows", 1L, "idx_post", 11119.0, "idx", 1119L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "automotive", "rows", 1L, "idx_post", 11147.0, "idx", 1147L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "business", "rows", 1L, "idx_post", 11112.0, "idx", 1112L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "entertainment", "rows", 1L, "idx_post", 11166.0, "idx", 1166L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "health", "rows", 1L, "idx_post", 11113.0, "idx", 1113L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine", "rows", 3L, "idx_post", 13447.0, "idx", 3447L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news", "rows", 1L, "idx_post", 11114.0, "idx", 1114L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "premium", "rows", 3L, "idx_post", 13505.0, "idx", 3505L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "technology", "rows", 1L, "idx_post", 11097.0, "idx", 1097L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "travel", "rows", 1L, "idx_post", 11126.0, "idx", 1126L));
// Subqueries are handled by the ToolChest
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
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