Examples with DateTime org.joda.time.DateTime used on opensource projects

Example 71 with DateTime

use of org.joda.time.DateTime in project druid by druid-io.

the class DataSourceMetadataQueryTest method testResultDeserialization.

@Test
public void testResultDeserialization() {
    final Map<String, Object> resultValueMap = ImmutableMap.<String, Object>of("maxIngestedEventTime", "2000-01-01T00:00:00.000Z");
    final DataSourceMetadataResultValue resultValue = new DefaultObjectMapper().convertValue(resultValueMap, DataSourceMetadataResultValue.class);
    Assert.assertEquals(new DateTime("2000"), resultValue.getMaxIngestedEventTime());
}

Example 72 with DateTime

use of org.joda.time.DateTime in project druid by druid-io.

the class GroupByQueryRunnerTest method testBySegmentResults.

@Test
public void testBySegmentResults() {
    int segmentCount = 32;
    Result<BySegmentResultValue> singleSegmentResult = new Result<BySegmentResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new BySegmentResultValueClass(Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L)), "testSegment", new Interval("2011-04-02T00:00:00.000Z/2011-04-04T00:00:00.000Z")));
    List<Result> bySegmentResults = Lists.newArrayList();
    for (int i = 0; i < segmentCount; i++) {
        bySegmentResults.add(singleSegmentResult);
    }
    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"))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setDimFilter(new SelectorDimFilter("quality", "mezzanine", null)).setContext(ImmutableMap.<String, Object>of("bySegment", true));
    final GroupByQuery fullQuery = builder.build();
    QueryToolChest toolChest = factory.getToolchest();
    List<QueryRunner<Row>> singleSegmentRunners = Lists.newArrayList();
    for (int i = 0; i < segmentCount; i++) {
        singleSegmentRunners.add(toolChest.preMergeQueryDecoration(runner));
    }
    ExecutorService exec = Executors.newCachedThreadPool();
    QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(Executors.newCachedThreadPool(), singleSegmentRunners)), toolChest));
    TestHelper.assertExpectedObjects(bySegmentResults, theRunner.run(fullQuery, Maps.newHashMap()), "");
    exec.shutdownNow();
}

Example 73 with DateTime

use of org.joda.time.DateTime in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithTimeZone.

@Test
public void testGroupByWithTimeZone() {
    DateTimeZone tz = DateTimeZone.forID("America/Los_Angeles");
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-03-31T00:00:00-07:00/2011-04-02T00:00:00-07:00").setDimensions(Lists.newArrayList((DimensionSpec) new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(new PeriodGranularity(new Period("P1D"), null, tz)).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "automotive", "rows", 1L, "idx", 135L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "business", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "entertainment", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "health", "rows", 1L, "idx", 120L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "mezzanine", "rows", 3L, "idx", 2870L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "news", "rows", 1L, "idx", 121L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "premium", "rows", 3L, "idx", 2900L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "technology", "rows", 1L, "idx", 78L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-03-31", tz), "alias", "travel", "rows", 1L, "idx", 119L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "automotive", "rows", 1L, "idx", 147L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "business", "rows", 1L, "idx", 112L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "entertainment", "rows", 1L, "idx", 166L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "health", "rows", 1L, "idx", 113L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "mezzanine", "rows", 3L, "idx", 2447L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "news", "rows", 1L, "idx", 114L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "premium", "rows", 3L, "idx", 2505L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "technology", "rows", 1L, "idx", 97L), GroupByQueryRunnerTestHelper.createExpectedRow(new DateTime("2011-04-01", tz), "alias", "travel", "rows", 1L, "idx", 126L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 74 with DateTime

use of org.joda.time.DateTime in project druid by druid-io.

the class GroupByTimeseriesQueryRunnerTest method testFullOnTimeseriesMaxMin.

// GroupBy handles timestamps differently when granularity is ALL
@Test
public void testFullOnTimeseriesMaxMin() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(Granularities.ALL).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Arrays.asList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))).descending(descending).build();
    DateTime expectedEarliest = new DateTime("1970-01-01");
    DateTime expectedLast = new DateTime("2011-04-15");
    Iterable<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    Result<TimeseriesResultValue> result = results.iterator().next();
    Assert.assertEquals(expectedEarliest, result.getTimestamp());
    Assert.assertFalse(String.format("Timestamp[%s] > expectedLast[%s]", result.getTimestamp(), expectedLast), result.getTimestamp().isAfter(expectedLast));
    final TimeseriesResultValue value = result.getValue();
    Assert.assertEquals(result.toString(), 1870.06103515625, value.getDoubleMetric("maxIndex"), 0.0);
    Assert.assertEquals(result.toString(), 59.02102279663086, value.getDoubleMetric("minIndex"), 0.0);
}

Example 75 with DateTime

use of org.joda.time.DateTime in project druid by druid-io.

the class SearchQueryQueryToolChestTest method testCacheStrategy.

@Test
public void testCacheStrategy() throws Exception {
    CacheStrategy<Result<SearchResultValue>, Object, SearchQuery> strategy = new SearchQueryQueryToolChest(null, null).getCacheStrategy(new SearchQuery(new TableDataSource("dummy"), null, Granularities.ALL, 1, new MultipleIntervalSegmentSpec(ImmutableList.of(new Interval("2015-01-01/2015-01-02"))), ImmutableList.of(Druids.DIMENSION_IDENTITY.apply("dim1")), new FragmentSearchQuerySpec(ImmutableList.of("a", "b")), null, null));
    final Result<SearchResultValue> result = new Result<>(new DateTime(123L), new SearchResultValue(ImmutableList.of(new SearchHit("dim1", "a"))));
    Object preparedValue = strategy.prepareForCache().apply(result);
    ObjectMapper objectMapper = new DefaultObjectMapper();
    Object fromCacheValue = objectMapper.readValue(objectMapper.writeValueAsBytes(preparedValue), strategy.getCacheObjectClazz());
    Result<SearchResultValue> fromCacheResult = strategy.pullFromCache().apply(fromCacheValue);
    Assert.assertEquals(result, fromCacheResult);
}