Examples with DimensionsSpec org.apache.druid.data.input.impl.DimensionsSpec used on opensource projects

Example 46 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.

the class CompactionTaskParallelRunTest method testRunParallelWithMultiDimensionRangePartitioningWithSingleTask.

@Test
public void testRunParallelWithMultiDimensionRangePartitioningWithSingleTask() throws Exception {
    // Range partitioning is not supported with segment lock yet
    Assume.assumeFalse(lockGranularity == LockGranularity.SEGMENT);
    runIndexTask(null, true);
    final Builder builder = new Builder(DATA_SOURCE, getSegmentCacheManagerFactory(), RETRY_POLICY_FACTORY);
    final CompactionTask compactionTask = builder.inputSpec(new CompactionIntervalSpec(INTERVAL_TO_INDEX, null)).tuningConfig(newTuningConfig(new DimensionRangePartitionsSpec(7, null, Arrays.asList("dim1", "dim2"), false), 1, true)).build();
    final Set<DataSegment> compactedSegments = runTask(compactionTask);
    for (DataSegment segment : compactedSegments) {
        // Expect compaction state to exist as store compaction state by default
        Map<String, String> expectedLongSumMetric = new HashMap<>();
        expectedLongSumMetric.put("type", "longSum");
        expectedLongSumMetric.put("name", "val");
        expectedLongSumMetric.put("fieldName", "val");
        expectedLongSumMetric.put("expression", null);
        Assert.assertSame(DimensionRangeShardSpec.class, segment.getShardSpec().getClass());
        CompactionState expectedState = new CompactionState(new DimensionRangePartitionsSpec(7, null, Arrays.asList("dim1", "dim2"), false), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("ts", "dim"))), ImmutableList.of(expectedLongSumMetric), null, compactionTask.getTuningConfig().getIndexSpec().asMap(getObjectMapper()), getObjectMapper().readValue(getObjectMapper().writeValueAsString(new UniformGranularitySpec(Granularities.HOUR, Granularities.MINUTE, true, ImmutableList.of(segment.getInterval()))), Map.class));
        Assert.assertEquals(expectedState, segment.getLastCompactionState());
    }
}

Example 47 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.

the class CompactionTaskParallelRunTest method runIndexTask.

private void runIndexTask(@Nullable PartitionsSpec partitionsSpec, boolean appendToExisting) {
    ParallelIndexIOConfig ioConfig = new ParallelIndexIOConfig(null, new LocalInputSource(inputDir, "druid*"), new CsvInputFormat(Arrays.asList("ts", "dim", "val"), "|", null, false, 0), appendToExisting, null);
    ParallelIndexTuningConfig tuningConfig = newTuningConfig(partitionsSpec, 2, !appendToExisting);
    ParallelIndexSupervisorTask indexTask = new ParallelIndexSupervisorTask(null, null, null, new ParallelIndexIngestionSpec(new DataSchema(DATA_SOURCE, new TimestampSpec("ts", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(Arrays.asList("ts", "dim"))), new AggregatorFactory[] { new LongSumAggregatorFactory("val", "val") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.MINUTE, ImmutableList.of(INTERVAL_TO_INDEX)), null), ioConfig, tuningConfig), null);
    runTask(indexTask);
}

Example 48 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.

the class CompactionTaskParallelRunTest method testRunParallelWithRangePartitioningWithSingleTask.

@Test
public void testRunParallelWithRangePartitioningWithSingleTask() throws Exception {
    // Range partitioning is not supported with segment lock yet
    Assume.assumeFalse(lockGranularity == LockGranularity.SEGMENT);
    runIndexTask(null, true);
    final Builder builder = new Builder(DATA_SOURCE, getSegmentCacheManagerFactory(), RETRY_POLICY_FACTORY);
    final CompactionTask compactionTask = builder.inputSpec(new CompactionIntervalSpec(INTERVAL_TO_INDEX, null)).tuningConfig(newTuningConfig(new SingleDimensionPartitionsSpec(7, null, "dim", false), 1, true)).build();
    final Set<DataSegment> compactedSegments = runTask(compactionTask);
    for (DataSegment segment : compactedSegments) {
        // Expect compaction state to exist as store compaction state by default
        Map<String, String> expectedLongSumMetric = new HashMap<>();
        expectedLongSumMetric.put("type", "longSum");
        expectedLongSumMetric.put("name", "val");
        expectedLongSumMetric.put("fieldName", "val");
        expectedLongSumMetric.put("expression", null);
        Assert.assertSame(SingleDimensionShardSpec.class, segment.getShardSpec().getClass());
        CompactionState expectedState = new CompactionState(new SingleDimensionPartitionsSpec(7, null, "dim", false), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("ts", "dim"))), ImmutableList.of(expectedLongSumMetric), null, compactionTask.getTuningConfig().getIndexSpec().asMap(getObjectMapper()), getObjectMapper().readValue(getObjectMapper().writeValueAsString(new UniformGranularitySpec(Granularities.HOUR, Granularities.MINUTE, true, ImmutableList.of(segment.getInterval()))), Map.class));
        Assert.assertEquals(expectedState, segment.getLastCompactionState());
    }
}

Example 49 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.

the class CompactionTaskParallelRunTest method testRunParallelWithDynamicPartitioningMatchCompactionState.

@Test
public void testRunParallelWithDynamicPartitioningMatchCompactionState() throws Exception {
    runIndexTask(null, true);
    final Builder builder = new Builder(DATA_SOURCE, getSegmentCacheManagerFactory(), RETRY_POLICY_FACTORY);
    final CompactionTask compactionTask = builder.inputSpec(new CompactionIntervalSpec(INTERVAL_TO_INDEX, null)).tuningConfig(AbstractParallelIndexSupervisorTaskTest.DEFAULT_TUNING_CONFIG_FOR_PARALLEL_INDEXING).build();
    final Set<DataSegment> compactedSegments = runTask(compactionTask);
    for (DataSegment segment : compactedSegments) {
        Assert.assertSame(lockGranularity == LockGranularity.TIME_CHUNK ? NumberedShardSpec.class : NumberedOverwriteShardSpec.class, segment.getShardSpec().getClass());
        // Expect compaction state to exist as store compaction state by default
        Map<String, String> expectedLongSumMetric = new HashMap<>();
        expectedLongSumMetric.put("type", "longSum");
        expectedLongSumMetric.put("name", "val");
        expectedLongSumMetric.put("fieldName", "val");
        expectedLongSumMetric.put("expression", null);
        CompactionState expectedState = new CompactionState(new DynamicPartitionsSpec(null, Long.MAX_VALUE), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("ts", "dim"))), ImmutableList.of(expectedLongSumMetric), null, compactionTask.getTuningConfig().getIndexSpec().asMap(getObjectMapper()), getObjectMapper().readValue(getObjectMapper().writeValueAsString(new UniformGranularitySpec(Granularities.HOUR, Granularities.MINUTE, true, ImmutableList.of(segment.getInterval()))), Map.class));
        Assert.assertEquals(expectedState, segment.getLastCompactionState());
    }
}

Example 50 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.

the class CompactionTaskTest method testCreateIngestionSchema.

@Test
public void testCreateIngestionSchema() throws IOException, SegmentLoadingException {
    final List<ParallelIndexIngestionSpec> ingestionSpecs = CompactionTask.createIngestionSchema(toolbox, LockGranularity.TIME_CHUNK, new SegmentProvider(DATA_SOURCE, new CompactionIntervalSpec(COMPACTION_INTERVAL, null)), new PartitionConfigurationManager(TUNING_CONFIG), null, null, null, null, COORDINATOR_CLIENT, segmentCacheManagerFactory, RETRY_POLICY_FACTORY, IOConfig.DEFAULT_DROP_EXISTING);
    final List<DimensionsSpec> expectedDimensionsSpec = getExpectedDimensionsSpecForAutoGeneration();
    ingestionSpecs.sort((s1, s2) -> Comparators.intervalsByStartThenEnd().compare(s1.getDataSchema().getGranularitySpec().inputIntervals().get(0), s2.getDataSchema().getGranularitySpec().inputIntervals().get(0)));
    Assert.assertEquals(6, ingestionSpecs.size());
    assertIngestionSchema(ingestionSpecs, expectedDimensionsSpec, AGGREGATORS.stream().map(AggregatorFactory::getCombiningFactory).collect(Collectors.toList()), SEGMENT_INTERVALS, Granularities.MONTH, Granularities.NONE, IOConfig.DEFAULT_DROP_EXISTING);
}