Examples with ArithmeticPostAggregator io.druid.query.aggregation.post.ArithmeticPostAggregator used on opensource projects

Example 11 with ArithmeticPostAggregator

use of io.druid.query.aggregation.post.ArithmeticPostAggregator 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>()));
}

Example 12 with ArithmeticPostAggregator

use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.

the class TopNBinaryFnBenchmark method setUp.

@Override
protected void setUp() throws Exception {
    final ConstantPostAggregator constant = new ConstantPostAggregator("const", 1L);
    final FieldAccessPostAggregator rowsPostAgg = new FieldAccessPostAggregator("rows", "rows");
    final FieldAccessPostAggregator indexPostAgg = new FieldAccessPostAggregator("index", "index");
    final List<AggregatorFactory> aggregatorFactories = new ArrayList<>();
    aggregatorFactories.add(new CountAggregatorFactory("rows"));
    aggregatorFactories.add(new LongSumAggregatorFactory("index", "index"));
    for (int i = 1; i < aggCount; i++) {
        aggregatorFactories.add(new CountAggregatorFactory("rows" + i));
    }
    final List<PostAggregator> postAggregators = new ArrayList<>();
    for (int i = 0; i < postAggCount; i++) {
        postAggregators.add(new ArithmeticPostAggregator("addrowsindexconstant" + i, "+", Lists.newArrayList(constant, rowsPostAgg, indexPostAgg)));
    }
    final DateTime currTime = new DateTime();
    List<Map<String, Object>> list = new ArrayList<>();
    for (int i = 0; i < threshold; i++) {
        Map<String, Object> res = new HashMap<>();
        res.put("testdim", "" + i);
        res.put("rows", 1L);
        for (int j = 0; j < aggCount; j++) {
            res.put("rows" + j, 1L);
        }
        res.put("index", 1L);
        list.add(res);
    }
    result1 = new Result<>(currTime, new TopNResultValue(list));
    List<Map<String, Object>> list2 = new ArrayList<>();
    for (int i = 0; i < threshold; i++) {
        Map<String, Object> res = new HashMap<>();
        res.put("testdim", "" + i);
        res.put("rows", 2L);
        for (int j = 0; j < aggCount; j++) {
            res.put("rows" + j, 2L);
        }
        res.put("index", 2L);
        list2.add(res);
    }
    result2 = new Result<>(currTime, new TopNResultValue(list2));
    fn = new TopNBinaryFn(TopNResultMerger.identity, Granularities.ALL, new DefaultDimensionSpec("testdim", null), new NumericTopNMetricSpec("index"), 100, aggregatorFactories, postAggregators);
}

Example 13 with ArithmeticPostAggregator

use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.

the class TopNQueryQueryToolChestTest method testComputeCacheKeyWithDifferentPostAgg.

@Test
public void testComputeCacheKeyWithDifferentPostAgg() throws Exception {
    final TopNQuery query1 = new TopNQuery(new TableDataSource("dummy"), VirtualColumns.EMPTY, new DefaultDimensionSpec("test", "test"), new NumericTopNMetricSpec("post"), 3, new MultipleIntervalSegmentSpec(ImmutableList.of(new Interval("2015-01-01/2015-01-02"))), null, Granularities.ALL, ImmutableList.<AggregatorFactory>of(new CountAggregatorFactory("metric1")), ImmutableList.<PostAggregator>of(new ConstantPostAggregator("post", 10)), null);
    final TopNQuery query2 = new TopNQuery(new TableDataSource("dummy"), VirtualColumns.EMPTY, new DefaultDimensionSpec("test", "test"), new NumericTopNMetricSpec("post"), 3, new MultipleIntervalSegmentSpec(ImmutableList.of(new Interval("2015-01-01/2015-01-02"))), null, Granularities.ALL, ImmutableList.<AggregatorFactory>of(new CountAggregatorFactory("metric1")), ImmutableList.<PostAggregator>of(new ArithmeticPostAggregator("post", "+", ImmutableList.<PostAggregator>of(new FieldAccessPostAggregator(null, "metric1"), new FieldAccessPostAggregator(null, "metric1")))), null);
    final CacheStrategy<Result<TopNResultValue>, Object, TopNQuery> strategy1 = new TopNQueryQueryToolChest(null, null).getCacheStrategy(query1);
    final CacheStrategy<Result<TopNResultValue>, Object, TopNQuery> strategy2 = new TopNQueryQueryToolChest(null, null).getCacheStrategy(query2);
    Assert.assertFalse(Arrays.equals(strategy1.computeCacheKey(query1), strategy2.computeCacheKey(query2)));
}

Example 14 with ArithmeticPostAggregator

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, "");
}

Example 15 with ArithmeticPostAggregator

use of io.druid.query.aggregation.post.ArithmeticPostAggregator in project druid by druid-io.

the class AggregatorUtilTest method testCasing.

@Test
public void testCasing() {
    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"));
}