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

Example 51 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec 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 52 with DimensionsSpec

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

the class CompactionTaskRunTest method testCompactionWithFilterInTransformSpec.

@Test
public void testCompactionWithFilterInTransformSpec() throws Exception {
    runIndexTask();
    final Builder builder = new Builder(DATA_SOURCE, segmentCacheManagerFactory, RETRY_POLICY_FACTORY);
    // day segmentGranularity
    final CompactionTask compactionTask = builder.interval(Intervals.of("2014-01-01/2014-01-02")).granularitySpec(new ClientCompactionTaskGranularitySpec(Granularities.DAY, null, null)).transformSpec(new ClientCompactionTaskTransformSpec(new SelectorDimFilter("dim", "a", null))).build();
    Pair<TaskStatus, List<DataSegment>> resultPair = runTask(compactionTask);
    Assert.assertTrue(resultPair.lhs.isSuccess());
    List<DataSegment> segments = resultPair.rhs;
    Assert.assertEquals(1, segments.size());
    Assert.assertEquals(Intervals.of("2014-01-01/2014-01-02"), segments.get(0).getInterval());
    Assert.assertEquals(new NumberedShardSpec(0, 1), segments.get(0).getShardSpec());
    ObjectMapper mapper = new DefaultObjectMapper();
    Map<String, String> expectedLongSumMetric = new HashMap<>();
    expectedLongSumMetric.put("type", "longSum");
    expectedLongSumMetric.put("name", "val");
    expectedLongSumMetric.put("fieldName", "val");
    expectedLongSumMetric.put("expression", null);
    CompactionState expectedCompactionState = new CompactionState(new DynamicPartitionsSpec(5000000, Long.MAX_VALUE), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("ts", "dim"))), ImmutableList.of(expectedLongSumMetric), getObjectMapper().readValue(getObjectMapper().writeValueAsString(compactionTask.getTransformSpec()), Map.class), mapper.readValue(mapper.writeValueAsString(new IndexSpec()), Map.class), mapper.readValue(mapper.writeValueAsString(new UniformGranularitySpec(Granularities.DAY, Granularities.MINUTE, true, ImmutableList.of(Intervals.of("2014-01-01T00:00:00/2014-01-01T03:00:00")))), Map.class));
    Assert.assertEquals(expectedCompactionState, segments.get(0).getLastCompactionState());
}

Example 53 with DimensionsSpec

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

the class IndexTaskTest method testTransformSpec.

@Test
public void testTransformSpec() throws Exception {
    File tmpDir = temporaryFolder.newFolder();
    File tmpFile = File.createTempFile("druid", "index", tmpDir);
    try (BufferedWriter writer = Files.newWriter(tmpFile, StandardCharsets.UTF_8)) {
        writer.write("2014-01-01T00:00:10Z,a,an|array,1|2|3,1\n");
        writer.write("2014-01-01T01:00:20Z,b,another|array,3|4,1\n");
        writer.write("2014-01-01T02:00:30Z,c,and|another,0|1,1\n");
    }
    final DimensionsSpec dimensionsSpec = new DimensionsSpec(DimensionsSpec.getDefaultSchemas(Arrays.asList("ts", "dim", "dim_array", "dim_num_array", "dimt", "dimtarray1", "dimtarray2", "dimtnum_array")));
    final List<String> columns = Arrays.asList("ts", "dim", "dim_array", "dim_num_array", "val");
    final String listDelimiter = "|";
    final TransformSpec transformSpec = new TransformSpec(new SelectorDimFilter("dim", "b", null), ImmutableList.of(new ExpressionTransform("dimt", "concat(dim,dim)", ExprMacroTable.nil()), new ExpressionTransform("dimtarray1", "array(dim, dim)", ExprMacroTable.nil()), new ExpressionTransform("dimtarray2", "map(d -> concat(d, 'foo'), dim_array)", ExprMacroTable.nil()), new ExpressionTransform("dimtnum_array", "map(d -> d + 3, dim_num_array)", ExprMacroTable.nil())));
    final IndexTuningConfig tuningConfig = createTuningConfigWithMaxRowsPerSegment(2, false);
    final IndexIngestionSpec indexIngestionSpec;
    if (useInputFormatApi) {
        indexIngestionSpec = createIngestionSpec(jsonMapper, tmpDir, DEFAULT_TIMESTAMP_SPEC, dimensionsSpec, new CsvInputFormat(columns, listDelimiter, null, false, 0), transformSpec, null, tuningConfig, false, false);
    } else {
        indexIngestionSpec = createIngestionSpec(jsonMapper, tmpDir, new CSVParseSpec(DEFAULT_TIMESTAMP_SPEC, dimensionsSpec, listDelimiter, columns, false, 0), transformSpec, null, tuningConfig, false, false);
    }
    IndexTask indexTask = new IndexTask(null, null, indexIngestionSpec, null);
    Assert.assertEquals(indexTask.getId(), indexTask.getGroupId());
    final List<DataSegment> segments = runTask(indexTask).rhs;
    Assert.assertEquals(1, segments.size());
    DataSegment segment = segments.get(0);
    final File segmentFile = segmentCacheManager.getSegmentFiles(segment);
    final WindowedStorageAdapter adapter = new WindowedStorageAdapter(new QueryableIndexStorageAdapter(indexIO.loadIndex(segmentFile)), segment.getInterval());
    final Sequence<Cursor> cursorSequence = adapter.getAdapter().makeCursors(null, segment.getInterval(), VirtualColumns.EMPTY, Granularities.ALL, false, null);
    final List<Map<String, Object>> transforms = cursorSequence.map(cursor -> {
        final DimensionSelector selector1 = cursor.getColumnSelectorFactory().makeDimensionSelector(new DefaultDimensionSpec("dimt", "dimt"));
        final DimensionSelector selector2 = cursor.getColumnSelectorFactory().makeDimensionSelector(new DefaultDimensionSpec("dimtarray1", "dimtarray1"));
        final DimensionSelector selector3 = cursor.getColumnSelectorFactory().makeDimensionSelector(new DefaultDimensionSpec("dimtarray2", "dimtarray2"));
        final DimensionSelector selector4 = cursor.getColumnSelectorFactory().makeDimensionSelector(new DefaultDimensionSpec("dimtnum_array", "dimtnum_array"));
        Map<String, Object> row = new HashMap<>();
        row.put("dimt", selector1.defaultGetObject());
        row.put("dimtarray1", selector2.defaultGetObject());
        row.put("dimtarray2", selector3.defaultGetObject());
        row.put("dimtnum_array", selector4.defaultGetObject());
        cursor.advance();
        return row;
    }).toList();
    Assert.assertEquals(1, transforms.size());
    Assert.assertEquals("bb", transforms.get(0).get("dimt"));
    Assert.assertEquals(ImmutableList.of("b", "b"), transforms.get(0).get("dimtarray1"));
    Assert.assertEquals(ImmutableList.of("anotherfoo", "arrayfoo"), transforms.get(0).get("dimtarray2"));
    Assert.assertEquals(ImmutableList.of("6.0", "7.0"), transforms.get(0).get("dimtnum_array"));
    Assert.assertEquals(DATASOURCE, segments.get(0).getDataSource());
    Assert.assertEquals(Intervals.of("2014/P1D"), segments.get(0).getInterval());
    Assert.assertEquals(NumberedShardSpec.class, segments.get(0).getShardSpec().getClass());
    Assert.assertEquals(0, segments.get(0).getShardSpec().getPartitionNum());
}

Example 54 with DimensionsSpec

use of org.apache.druid.data.input.impl.DimensionsSpec 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);
}

Example 55 with DimensionsSpec

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

the class CompactionTaskTest method testSerdeWithDimensions.

@Test
public void testSerdeWithDimensions() throws IOException {
    final Builder builder = new Builder(DATA_SOURCE, segmentCacheManagerFactory, RETRY_POLICY_FACTORY);
    final CompactionTask task = builder.segments(SEGMENTS).dimensionsSpec(new DimensionsSpec(ImmutableList.of(new StringDimensionSchema("dim1"), new StringDimensionSchema("dim2"), new StringDimensionSchema("dim3")))).tuningConfig(createTuningConfig()).context(ImmutableMap.of("testKey", "testVal")).build();
    final byte[] bytes = OBJECT_MAPPER.writeValueAsBytes(task);
    final CompactionTask fromJson = OBJECT_MAPPER.readValue(bytes, CompactionTask.class);
    assertEquals(task, fromJson);
}