Examples with AggregatorFactory org.apache.druid.query.aggregation.AggregatorFactory used on opensource projects

Example 46 with AggregatorFactory

use of org.apache.druid.query.aggregation.AggregatorFactory in project druid by druid-io.

the class GranularityPathSpecTest method testIntervalTrimming.

@Test
public void testIntervalTrimming() throws Exception {
    UserGroupInformation.setLoginUser(UserGroupInformation.createUserForTesting("test", new String[] { "testGroup" }));
    HadoopIngestionSpec spec = new HadoopIngestionSpec(new DataSchema("foo", null, new AggregatorFactory[0], new UniformGranularitySpec(Granularities.DAY, Granularities.ALL, ImmutableList.of(Intervals.of("2015-01-01T11Z/2015-01-02T05Z"))), null, jsonMapper), new HadoopIOConfig(null, null, null), DEFAULT_TUNING_CONFIG);
    granularityPathSpec.setDataGranularity(Granularities.HOUR);
    granularityPathSpec.setPathFormat("yyyy/MM/dd/HH");
    granularityPathSpec.setFilePattern(".*");
    granularityPathSpec.setInputFormat(TextInputFormat.class);
    Job job = Job.getInstance();
    String formatStr = "file:%s/%s;org.apache.hadoop.mapreduce.lib.input.TextInputFormat";
    createFile(testFolder, "test/2015/01/01/00/file1", "test/2015/01/01/10/file2", "test/2015/01/01/18/file3", "test/2015/01/02/00/file1", "test/2015/01/02/03/file2", "test/2015/01/02/05/file3", "test/2015/01/02/07/file4", "test/2015/01/02/09/file5");
    granularityPathSpec.setInputPath(testFolder.getRoot().getPath() + "/test");
    granularityPathSpec.addInputPaths(HadoopDruidIndexerConfig.fromSpec(spec), job);
    String actual = job.getConfiguration().get("mapreduce.input.multipleinputs.dir.formats");
    String expected = Joiner.on(",").join(Lists.newArrayList(StringUtils.format(formatStr, testFolder.getRoot(), "test/2015/01/01/18/file3"), StringUtils.format(formatStr, testFolder.getRoot(), "test/2015/01/02/00/file1"), StringUtils.format(formatStr, testFolder.getRoot(), "test/2015/01/02/03/file2")));
    Assert.assertEquals("Did not find expected input paths", expected, actual);
}

Example 47 with AggregatorFactory

use of org.apache.druid.query.aggregation.AggregatorFactory in project druid by druid-io.

the class CompactionTask method createDataSchema.

private static DataSchema createDataSchema(String dataSource, List<NonnullPair<QueryableIndex, DataSegment>> queryableIndexAndSegments, @Nullable DimensionsSpec dimensionsSpec, @Nullable ClientCompactionTaskTransformSpec transformSpec, @Nullable AggregatorFactory[] metricsSpec, @Nonnull ClientCompactionTaskGranularitySpec granularitySpec) {
    // check index metadata &
    // Decide which values to propagate (i.e. carry over) for rollup & queryGranularity
    final SettableSupplier<Boolean> rollup = new SettableSupplier<>();
    final SettableSupplier<Granularity> queryGranularity = new SettableSupplier<>();
    decideRollupAndQueryGranularityCarryOver(rollup, queryGranularity, queryableIndexAndSegments);
    final Interval totalInterval = JodaUtils.umbrellaInterval(queryableIndexAndSegments.stream().map(p -> p.rhs.getInterval()).collect(Collectors.toList()));
    final Granularity queryGranularityToUse;
    if (granularitySpec.getQueryGranularity() == null) {
        queryGranularityToUse = queryGranularity.get();
        log.info("Generate compaction task spec with segments original query granularity [%s]", queryGranularityToUse);
    } else {
        queryGranularityToUse = granularitySpec.getQueryGranularity();
        log.info("Generate compaction task spec with new query granularity overrided from input [%s]", queryGranularityToUse);
    }
    final GranularitySpec uniformGranularitySpec = new UniformGranularitySpec(Preconditions.checkNotNull(granularitySpec.getSegmentGranularity()), queryGranularityToUse, granularitySpec.isRollup() == null ? rollup.get() : granularitySpec.isRollup(), Collections.singletonList(totalInterval));
    // find unique dimensions
    final DimensionsSpec finalDimensionsSpec = dimensionsSpec == null ? createDimensionsSpec(queryableIndexAndSegments) : dimensionsSpec;
    final AggregatorFactory[] finalMetricsSpec = metricsSpec == null ? createMetricsSpec(queryableIndexAndSegments) : metricsSpec;
    return new DataSchema(dataSource, new TimestampSpec(ColumnHolder.TIME_COLUMN_NAME, "millis", null), finalDimensionsSpec, finalMetricsSpec, uniformGranularitySpec, transformSpec == null ? null : new TransformSpec(transformSpec.getFilter(), null));
}

Example 48 with AggregatorFactory

use of org.apache.druid.query.aggregation.AggregatorFactory 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);
}

Example 49 with AggregatorFactory

use of org.apache.druid.query.aggregation.AggregatorFactory in project druid by druid-io.

the class CompactionTaskTest method testCreateIngestionSchemaWithCustomSegments.

@Test
public void testCreateIngestionSchemaWithCustomSegments() throws IOException, SegmentLoadingException {
    final List<ParallelIndexIngestionSpec> ingestionSpecs = CompactionTask.createIngestionSchema(toolbox, LockGranularity.TIME_CHUNK, new SegmentProvider(DATA_SOURCE, SpecificSegmentsSpec.fromSegments(SEGMENTS)), 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);
}

Example 50 with AggregatorFactory

use of org.apache.druid.query.aggregation.AggregatorFactory in project druid by druid-io.

the class CompactionTaskTest method testCreateIngestionSchemaWithTargetPartitionSize.

@Test
public void testCreateIngestionSchemaWithTargetPartitionSize() throws IOException, SegmentLoadingException {
    final CompactionTask.CompactionTuningConfig tuningConfig = new CompactionTask.CompactionTuningConfig(100000, null, null, 500000, 1000000L, null, null, null, null, null, new IndexSpec(new RoaringBitmapSerdeFactory(true), CompressionStrategy.LZ4, CompressionStrategy.LZF, LongEncodingStrategy.LONGS), null, null, true, false, null, null, null, 10, null, null, null, null, null, null, null, null, null, null, null);
    final List<ParallelIndexIngestionSpec> ingestionSpecs = CompactionTask.createIngestionSchema(toolbox, LockGranularity.TIME_CHUNK, new SegmentProvider(DATA_SOURCE, new CompactionIntervalSpec(COMPACTION_INTERVAL, null)), new PartitionConfigurationManager(tuningConfig), 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, tuningConfig, Granularities.MONTH, Granularities.NONE, IOConfig.DEFAULT_DROP_EXISTING);
}