use of io.druid.java.util.common.granularity.PeriodGranularity 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");
}
use of io.druid.java.util.common.granularity.PeriodGranularity in project druid by druid-io.
the class TimeseriesQueryRunnerTest method testTimeseriesWithTimeZone.
@Test
public void testTimeseriesWithTimeZone() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).intervals("2011-03-31T00:00:00-07:00/2011-04-02T00:00:00-07:00").aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).granularity(new PeriodGranularity(new Period("P1D"), null, DateTimeZone.forID("America/Los_Angeles"))).descending(descending).build();
List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-03-31", DateTimeZone.forID("America/Los_Angeles")), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 6619L))), new Result<>(new DateTime("2011-04-01T", DateTimeZone.forID("America/Los_Angeles")), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 5827L))));
Iterable<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
assertExpectedResults(expectedResults, results);
}
use of io.druid.java.util.common.granularity.PeriodGranularity in project druid by druid-io.
the class TimeseriesQueryRunnerTest method testTimeseriesWithVaryingGranWithFilter.
@Test
public void testTimeseriesWithVaryingGranWithFilter() {
TimeseriesQuery query1 = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).filters(QueryRunnerTestHelper.marketDimension, "spot", "upfront", "total_market").granularity(new PeriodGranularity(new Period("P1M"), null, null)).intervals(Arrays.asList(new Interval("2011-04-02T00:00:00.000Z/2011-04-03T00:00:00.000Z"))).aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"), QueryRunnerTestHelper.qualityUniques)).descending(descending).build();
List<Result<TimeseriesResultValue>> expectedResults1 = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 5827L, "uniques", QueryRunnerTestHelper.UNIQUES_9))));
Iterable<Result<TimeseriesResultValue>> results1 = Sequences.toList(runner.run(query1, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
assertExpectedResults(expectedResults1, results1);
TimeseriesQuery query2 = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).filters(QueryRunnerTestHelper.marketDimension, "spot", "upfront", "total_market").granularity("DAY").intervals(Arrays.asList(new Interval("2011-04-02T00:00:00.000Z/2011-04-03T00:00:00.000Z"))).aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"), QueryRunnerTestHelper.qualityUniques)).build();
List<Result<TimeseriesResultValue>> expectedResults2 = Arrays.asList(new Result<>(new DateTime("2011-04-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 5827L, "uniques", QueryRunnerTestHelper.UNIQUES_9))));
Iterable<Result<TimeseriesResultValue>> results2 = Sequences.toList(runner.run(query2, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
assertExpectedResults(expectedResults2, results2);
}
use of io.druid.java.util.common.granularity.PeriodGranularity in project druid by druid-io.
the class TimeseriesQueryRunnerTest method testTimeseriesQueryGranularityNotAlignedWithRollupGranularity.
@Test
public void testTimeseriesQueryGranularityNotAlignedWithRollupGranularity() {
TimeseriesQuery query1 = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).filters(QueryRunnerTestHelper.marketDimension, "spot", "upfront", "total_market").granularity(new PeriodGranularity(new Period("PT1H"), new DateTime(60000), DateTimeZone.UTC)).intervals(Arrays.asList(new Interval("2011-04-15T00:00:00.000Z/2012"))).aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).descending(descending).build();
List<Result<TimeseriesResultValue>> expectedResults1 = Arrays.asList(new Result<>(new DateTime("2011-04-14T23:01Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 4717L))));
Iterable<Result<TimeseriesResultValue>> results1 = Sequences.toList(runner.run(query1, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
assertExpectedResults(expectedResults1, results1);
}
use of io.druid.java.util.common.granularity.PeriodGranularity in project druid by druid-io.
the class VarianceGroupByQueryTest method testPostAggHavingSpec.
@Test
public void testPostAggHavingSpec() {
VarianceTestHelper.RowBuilder expect = new VarianceTestHelper.RowBuilder(new String[] { "alias", "rows", "index", "index_var", "index_stddev" });
List<Row> expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "mezzanine", 6L, 4420L, 254083.76447001836, 504.06722217380724).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
GroupByQuery query = GroupByQuery.builder().setDataSource(VarianceTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(VarianceTestHelper.rowsCount, VarianceTestHelper.indexLongSum, VarianceTestHelper.indexVarianceAggr)).setPostAggregatorSpecs(ImmutableList.<PostAggregator>of(VarianceTestHelper.stddevOfIndexPostAggr)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(// 3 rows
new GreaterThanHavingSpec(VarianceTestHelper.stddevOfIndexMetric, 15L)))).build();
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
query = query.withLimitSpec(new DefaultLimitSpec(Arrays.<OrderByColumnSpec>asList(OrderByColumnSpec.asc(VarianceTestHelper.stddevOfIndexMetric)), 2));
expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
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