use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.
the class CompactionTaskTest method testQueryGranularityAndSegmentGranularityNonNull.
@Test
public void testQueryGranularityAndSegmentGranularityNonNull() 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, new ClientCompactionTaskGranularitySpec(new PeriodGranularity(Period.months(3), null, null), new PeriodGranularity(Period.months(3), null, null), null), COORDINATOR_CLIENT, segmentCacheManagerFactory, RETRY_POLICY_FACTORY, IOConfig.DEFAULT_DROP_EXISTING);
final List<DimensionsSpec> expectedDimensionsSpec = ImmutableList.of(new DimensionsSpec(getDimensionSchema(new DoubleDimensionSchema("string_to_double"))));
ingestionSpecs.sort((s1, s2) -> Comparators.intervalsByStartThenEnd().compare(s1.getDataSchema().getGranularitySpec().inputIntervals().get(0), s2.getDataSchema().getGranularitySpec().inputIntervals().get(0)));
Assert.assertEquals(1, ingestionSpecs.size());
assertIngestionSchema(ingestionSpecs, expectedDimensionsSpec, AGGREGATORS.stream().map(AggregatorFactory::getCombiningFactory).collect(Collectors.toList()), Collections.singletonList(COMPACTION_INTERVAL), new PeriodGranularity(Period.months(3), null, null), new PeriodGranularity(Period.months(3), null, null), IOConfig.DEFAULT_DROP_EXISTING);
}
use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.
the class CompactionTaskTest method testCreateIngestionSchemaWithCustomDimensionsSpec.
@Test
public void testCreateIngestionSchemaWithCustomDimensionsSpec() throws IOException, SegmentLoadingException {
final DimensionsSpec customSpec = new DimensionsSpec(Lists.newArrayList(new LongDimensionSchema("timestamp"), new StringDimensionSchema("string_dim_0"), new StringDimensionSchema("string_dim_1"), new StringDimensionSchema("string_dim_2"), new StringDimensionSchema("string_dim_3"), new StringDimensionSchema("string_dim_4"), new LongDimensionSchema("long_dim_0"), new LongDimensionSchema("long_dim_1"), new LongDimensionSchema("long_dim_2"), new LongDimensionSchema("long_dim_3"), new LongDimensionSchema("long_dim_4"), new FloatDimensionSchema("float_dim_0"), new FloatDimensionSchema("float_dim_1"), new FloatDimensionSchema("float_dim_2"), new FloatDimensionSchema("float_dim_3"), new FloatDimensionSchema("float_dim_4"), new DoubleDimensionSchema("double_dim_0"), new DoubleDimensionSchema("double_dim_1"), new DoubleDimensionSchema("double_dim_2"), new DoubleDimensionSchema("double_dim_3"), new DoubleDimensionSchema("double_dim_4"), new StringDimensionSchema(MIXED_TYPE_COLUMN)));
final List<ParallelIndexIngestionSpec> ingestionSpecs = CompactionTask.createIngestionSchema(toolbox, LockGranularity.TIME_CHUNK, new SegmentProvider(DATA_SOURCE, new CompactionIntervalSpec(COMPACTION_INTERVAL, null)), new PartitionConfigurationManager(TUNING_CONFIG), customSpec, null, null, null, COORDINATOR_CLIENT, segmentCacheManagerFactory, RETRY_POLICY_FACTORY, IOConfig.DEFAULT_DROP_EXISTING);
ingestionSpecs.sort((s1, s2) -> Comparators.intervalsByStartThenEnd().compare(s1.getDataSchema().getGranularitySpec().inputIntervals().get(0), s2.getDataSchema().getGranularitySpec().inputIntervals().get(0)));
Assert.assertEquals(6, ingestionSpecs.size());
final List<DimensionsSpec> dimensionsSpecs = new ArrayList<>(6);
IntStream.range(0, 6).forEach(i -> dimensionsSpecs.add(customSpec));
assertIngestionSchema(ingestionSpecs, dimensionsSpecs, AGGREGATORS.stream().map(AggregatorFactory::getCombiningFactory).collect(Collectors.toList()), SEGMENT_INTERVALS, Granularities.MONTH, Granularities.NONE, IOConfig.DEFAULT_DROP_EXISTING);
}
use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.
the class DruidSegmentReaderTest method testReaderTimestampSpecDefault.
@Test
public void testReaderTimestampSpecDefault() throws IOException {
final DruidSegmentReader reader = new DruidSegmentReader(makeInputEntity(Intervals.of("2000/P1D")), indexIO, new TimestampSpec(null, null, DateTimes.of("1971")), new DimensionsSpec(ImmutableList.of(StringDimensionSchema.create("s"), new DoubleDimensionSchema("d"))), ColumnsFilter.all(), null, temporaryFolder.newFolder());
Assert.assertEquals(ImmutableList.of(new MapBasedInputRow(DateTimes.of("1971"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T").getMillis()).put("s", "foo").put("d", 1.23d).put("cnt", 1L).put("met_s", makeHLLC("foo")).build()), new MapBasedInputRow(DateTimes.of("1971"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T01").getMillis()).put("s", "bar").put("d", 4.56d).put("cnt", 1L).put("met_s", makeHLLC("bar")).build())), readRows(reader));
}
use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.
the class DruidSegmentReaderTest method testReaderTimestampAsPosixIncorrectly.
@Test
public void testReaderTimestampAsPosixIncorrectly() throws IOException {
final DruidSegmentReader reader = new DruidSegmentReader(makeInputEntity(Intervals.of("2000/P1D")), indexIO, new TimestampSpec("__time", "posix", null), new DimensionsSpec(ImmutableList.of(StringDimensionSchema.create("s"), new DoubleDimensionSchema("d"))), ColumnsFilter.all(), null, temporaryFolder.newFolder());
Assert.assertEquals(ImmutableList.of(new MapBasedInputRow(DateTimes.of("31969-04-01T00:00:00.000Z"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T").getMillis()).put("s", "foo").put("d", 1.23d).put("cnt", 1L).put("met_s", makeHLLC("foo")).build()), new MapBasedInputRow(DateTimes.of("31969-05-12T16:00:00.000Z"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T01").getMillis()).put("s", "bar").put("d", 4.56d).put("cnt", 1L).put("met_s", makeHLLC("bar")).build())), readRows(reader));
}
use of org.apache.druid.data.input.impl.DimensionsSpec in project druid by druid-io.
the class DruidSegmentReaderTest method testReaderWithInclusiveColumnsFilter.
@Test
public void testReaderWithInclusiveColumnsFilter() throws IOException {
final DruidSegmentReader reader = new DruidSegmentReader(makeInputEntity(Intervals.of("2000/P1D")), indexIO, new TimestampSpec("__time", "millis", DateTimes.of("1971")), new DimensionsSpec(ImmutableList.of(StringDimensionSchema.create("s"), new DoubleDimensionSchema("d"))), ColumnsFilter.inclusionBased(ImmutableSet.of("__time", "s", "d")), null, temporaryFolder.newFolder());
Assert.assertEquals(ImmutableList.of(new MapBasedInputRow(DateTimes.of("2000"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T").getMillis()).put("s", "foo").put("d", 1.23d).build()), new MapBasedInputRow(DateTimes.of("2000T01"), ImmutableList.of("s", "d"), ImmutableMap.<String, Object>builder().put("__time", DateTimes.of("2000T01").getMillis()).put("s", "bar").put("d", 4.56d).build())), readRows(reader));
}
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