Examples with TopNQuery io.druid.query.topn.TopNQuery used on opensource projects

Example 11 with TopNQuery

use of io.druid.query.topn.TopNQuery in project druid by druid-io.

the class SchemalessTestFullTest method testFilteredTopN.

private void testFilteredTopN(QueryRunner runner, List<Result<TopNResultValue>> expectedResults, String failMsg) {
    TopNQuery query = new TopNQueryBuilder().dataSource(dataSource).granularity(allGran).dimension(marketDimension).filters(marketDimension, "spot").metric(indexMetric).threshold(3).intervals(fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(addRowsIndexConstant)).build();
    failMsg += " filtered topN ";
    HashMap<String, Object> context = new HashMap<>();
    Iterable<Result<TopNResultValue>> actualResults = Sequences.toList(runner.run(query, context), Lists.<Result<TopNResultValue>>newArrayList());
    TestHelper.assertExpectedResults(expectedResults, actualResults, failMsg);
}

Example 12 with TopNQuery

use of io.druid.query.topn.TopNQuery in project druid by druid-io.

the class SchemalessTestFullTest method testFullOnTopN.

private void testFullOnTopN(QueryRunner runner, List<Result<TopNResultValue>> expectedResults, String failMsg) {
    TopNQuery query = new TopNQueryBuilder().dataSource(dataSource).granularity(allGran).dimension(marketDimension).metric(indexMetric).threshold(3).intervals(fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(addRowsIndexConstant)).build();
    failMsg += " topN ";
    HashMap<String, Object> context = new HashMap<>();
    Iterable<Result<TopNResultValue>> actualResults = Sequences.toList(runner.run(query, context), Lists.<Result<TopNResultValue>>newArrayList());
    TestHelper.assertExpectedResults(expectedResults, actualResults, failMsg);
}

Example 13 with TopNQuery

use of io.druid.query.topn.TopNQuery in project druid by druid-io.

the class VarianceTopNQueryTest method testFullOnTopNOverUniques.

@Test
public void testFullOnTopNOverUniques() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(QueryRunnerTestHelper.marketDimension).metric(QueryRunnerTestHelper.uniqueMetric).threshold(3).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(VarianceTestHelper.commonPlusVarAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
    List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("market", "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.2735290527344D).put("minIndex", 59.02102279663086D).put("index_var", 439.3851694586573D).build(), ImmutableMap.<String, Object>builder().put("market", "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.9217529296875D).put("minIndex", 792.3260498046875D).put("index_var", 27679.900887366413D).build(), ImmutableMap.<String, Object>builder().put("market", "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.06103515625D).put("minIndex", 545.9906005859375D).put("index_var", 79699.9780741607D).build()))));
    assertExpectedResults(expectedResults, query);
}

Example 14 with TopNQuery

use of io.druid.query.topn.TopNQuery in project druid by druid-io.

the class ApproximateHistogramTopNQueryTest method testTopNWithApproximateHistogramAgg.

@Test
public void testTopNWithApproximateHistogramAgg() {
    ApproximateHistogramAggregatorFactory factory = new ApproximateHistogramAggregatorFactory("apphisto", "index", 10, 5, Float.NEGATIVE_INFINITY, Float.POSITIVE_INFINITY);
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(QueryRunnerTestHelper.marketDimension).metric(QueryRunnerTestHelper.dependentPostAggMetric).threshold(4).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(QueryRunnerTestHelper.commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"), factory)))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant, QueryRunnerTestHelper.dependentPostAgg, new QuantilePostAggregator("quantile", "apphisto", 0.5f))).build();
    List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.marketDimension, "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put(QueryRunnerTestHelper.dependentPostAggMetric, 216053.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.9217529296875D).put("minIndex", 792.3260498046875D).put("quantile", 1085.6775f).put("apphisto", new Histogram(new float[] { 554.4271240234375f, 792.3260498046875f, 1030.2249755859375f, 1268.1239013671875f, 1506.0228271484375f, 1743.9217529296875f }, new double[] { 0.0D, 39.42073059082031D, 103.29110717773438D, 34.93659591674805D, 8.351564407348633D })).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.marketDimension, "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put(QueryRunnerTestHelper.dependentPostAggMetric, 192420.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.06103515625D).put("minIndex", 545.9906005859375D).put("quantile", 880.9881f).put("apphisto", new Histogram(new float[] { 214.97299194335938f, 545.9906005859375f, 877.0081787109375f, 1208.0257568359375f, 1539.0433349609375f, 1870.06103515625f }, new double[] { 0.0D, 67.53287506103516D, 72.22068786621094D, 31.984678268432617D, 14.261756896972656D })).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.marketDimension, "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put(QueryRunnerTestHelper.dependentPostAggMetric, 97282.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.2735290527344D).put("minIndex", 59.02102279663086D).put("quantile", 101.78856f).put("apphisto", new Histogram(new float[] { 4.457897186279297f, 59.02102279663086f, 113.58415222167969f, 168.14727783203125f, 222.7104034423828f, 277.2735290527344f }, new double[] { 0.0D, 462.4309997558594D, 357.5404968261719D, 15.022850036621094D, 2.0056631565093994D })).build()))));
    HashMap<String, Object> context = new HashMap<String, Object>();
    TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}

Example 15 with TopNQuery

use of io.druid.query.topn.TopNQuery in project druid by druid-io.

the class CachingClusteredClientTest method testQueryCaching.

@SuppressWarnings("unchecked")
public void testQueryCaching(final QueryRunner runner, final int numTimesToQuery, boolean expectBySegment, final Query query, // does this assume query intervals must be ordered?
Object... args) {
    final List<Interval> queryIntervals = Lists.newArrayListWithCapacity(args.length / 2);
    final List<List<Iterable<Result<Object>>>> expectedResults = Lists.newArrayListWithCapacity(queryIntervals.size());
    parseResults(queryIntervals, expectedResults, args);
    for (int i = 0; i < queryIntervals.size(); ++i) {
        List<Object> mocks = Lists.newArrayList();
        mocks.add(serverView);
        final Interval actualQueryInterval = new Interval(queryIntervals.get(0).getStart(), queryIntervals.get(i).getEnd());
        final List<Map<DruidServer, ServerExpectations>> serverExpectationList = populateTimeline(queryIntervals, expectedResults, i, mocks);
        List<Capture> queryCaptures = Lists.newArrayList();
        final Map<DruidServer, ServerExpectations> finalExpectation = serverExpectationList.get(serverExpectationList.size() - 1);
        for (Map.Entry<DruidServer, ServerExpectations> entry : finalExpectation.entrySet()) {
            DruidServer server = entry.getKey();
            ServerExpectations expectations = entry.getValue();
            EasyMock.expect(serverView.getQueryRunner(server)).andReturn(expectations.getQueryRunner()).once();
            final Capture<? extends Query> capture = new Capture();
            final Capture<? extends Map> context = new Capture();
            queryCaptures.add(capture);
            QueryRunner queryable = expectations.getQueryRunner();
            if (query instanceof TimeseriesQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Result<TimeseriesResultValue>>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableTimeseriesResults(expectBySegment, segmentIds, intervals, results)).once();
            } else if (query instanceof TopNQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Result<TopNResultValue>>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableTopNResults(segmentIds, intervals, results)).once();
            } else if (query instanceof SearchQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Result<SearchResultValue>>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableSearchResults(segmentIds, intervals, results)).once();
            } else if (query instanceof SelectQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Result<SelectResultValue>>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableSelectResults(segmentIds, intervals, results)).once();
            } else if (query instanceof GroupByQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Row>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableGroupByResults(segmentIds, intervals, results)).once();
            } else if (query instanceof TimeBoundaryQuery) {
                List<String> segmentIds = Lists.newArrayList();
                List<Interval> intervals = Lists.newArrayList();
                List<Iterable<Result<TimeBoundaryResultValue>>> results = Lists.newArrayList();
                for (ServerExpectation expectation : expectations) {
                    segmentIds.add(expectation.getSegmentId());
                    intervals.add(expectation.getInterval());
                    results.add(expectation.getResults());
                }
                EasyMock.expect(queryable.run(EasyMock.capture(capture), EasyMock.capture(context))).andReturn(toQueryableTimeBoundaryResults(segmentIds, intervals, results)).once();
            } else {
                throw new ISE("Unknown query type[%s]", query.getClass());
            }
        }
        final int expectedResultsRangeStart;
        final int expectedResultsRangeEnd;
        if (query instanceof TimeBoundaryQuery) {
            expectedResultsRangeStart = i;
            expectedResultsRangeEnd = i + 1;
        } else {
            expectedResultsRangeStart = 0;
            expectedResultsRangeEnd = i + 1;
        }
        runWithMocks(new Runnable() {

            @Override
            public void run() {
                HashMap<String, List> context = new HashMap<String, List>();
                for (int i = 0; i < numTimesToQuery; ++i) {
                    TestHelper.assertExpectedResults(new MergeIterable<>(Ordering.<Result<Object>>natural().nullsFirst(), FunctionalIterable.create(new RangeIterable(expectedResultsRangeStart, expectedResultsRangeEnd)).transformCat(new Function<Integer, Iterable<Iterable<Result<Object>>>>() {

                        @Override
                        public Iterable<Iterable<Result<Object>>> apply(@Nullable Integer input) {
                            List<Iterable<Result<Object>>> retVal = Lists.newArrayList();
                            final Map<DruidServer, ServerExpectations> exps = serverExpectationList.get(input);
                            for (ServerExpectations expectations : exps.values()) {
                                for (ServerExpectation expectation : expectations) {
                                    retVal.add(expectation.getResults());
                                }
                            }
                            return retVal;
                        }
                    })), runner.run(query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(ImmutableList.of(actualQueryInterval))), context));
                    if (queryCompletedCallback != null) {
                        queryCompletedCallback.run();
                    }
                }
            }
        }, mocks.toArray());
        // make sure all the queries were sent down as 'bySegment'
        for (Capture queryCapture : queryCaptures) {
            Query capturedQuery = (Query) queryCapture.getValue();
            if (expectBySegment) {
                Assert.assertEquals(true, capturedQuery.getContextValue("bySegment"));
            } else {
                Assert.assertTrue(capturedQuery.getContextValue("bySegment") == null || capturedQuery.getContextValue("bySegment").equals(false));
            }
        }
    }
}