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

Example 41 with TimestampSpec

use of org.apache.druid.data.input.impl.TimestampSpec 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 42 with TimestampSpec

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

the class AppenderatorDriverRealtimeIndexTaskTest method makeRealtimeTask.

private AppenderatorDriverRealtimeIndexTask makeRealtimeTask(final String taskId, final TransformSpec transformSpec, final boolean reportParseExceptions, final long handoffTimeout, final Boolean logParseExceptions, final Integer maxParseExceptions, final Integer maxSavedParseExceptions, final Integer maxRowsPerSegment, final Long maxTotalRows) {
    DataSchema dataSchema = new DataSchema("test_ds", TestHelper.makeJsonMapper().convertValue(new MapInputRowParser(new TimeAndDimsParseSpec(new TimestampSpec("t", "auto", null), new DimensionsSpec(ImmutableList.of(new StringDimensionSchema("dim1"), new StringDimensionSchema("dim2"), new StringDimensionSchema("dim1t"), new LongDimensionSchema("dimLong"), new FloatDimensionSchema("dimFloat"))))), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT), new AggregatorFactory[] { new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("met1", "met1") }, new UniformGranularitySpec(Granularities.DAY, Granularities.NONE, null), transformSpec, OBJECT_MAPPER);
    RealtimeIOConfig realtimeIOConfig = new RealtimeIOConfig(new TestFirehoseFactory(), null);
    RealtimeAppenderatorTuningConfig tuningConfig = new RealtimeAppenderatorTuningConfig(null, 1000, null, null, maxRowsPerSegment, maxTotalRows, null, null, null, null, null, null, reportParseExceptions, handoffTimeout, null, null, logParseExceptions, maxParseExceptions, maxSavedParseExceptions);
    return new AppenderatorDriverRealtimeIndexTask(taskId, null, new RealtimeAppenderatorIngestionSpec(dataSchema, realtimeIOConfig, tuningConfig), null) {

        @Override
        protected boolean isFirehoseDrainableByClosing(FirehoseFactory firehoseFactory) {
            return true;
        }
    };
}

Example 43 with TimestampSpec

use of org.apache.druid.data.input.impl.TimestampSpec 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 44 with TimestampSpec

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

the class IndexTaskTest method testCSVFileWithHeaderColumnOverride.

@Test
public void testCSVFileWithHeaderColumnOverride() throws Exception {
    File tmpDir = temporaryFolder.newFolder();
    File tmpFile = File.createTempFile("druid", "index", tmpDir);
    try (BufferedWriter writer = Files.newWriter(tmpFile, StandardCharsets.UTF_8)) {
        writer.write("time,d,val\n");
        writer.write("2014-01-01T00:00:10Z,a,1\n");
    }
    final TimestampSpec timestampSpec = new TimestampSpec("time", "auto", null);
    final List<String> columns = Arrays.asList("time", "dim", "val");
    final IndexTuningConfig tuningConfig = createTuningConfigWithMaxRowsPerSegment(2, true);
    final IndexIngestionSpec ingestionSpec;
    if (useInputFormatApi) {
        ingestionSpec = createIngestionSpec(jsonMapper, tmpDir, new CSVParseSpec(timestampSpec, DimensionsSpec.EMPTY, null, columns, true, 0), null, null, tuningConfig, false, false);
    } else {
        ingestionSpec = createIngestionSpec(jsonMapper, tmpDir, timestampSpec, DimensionsSpec.EMPTY, new CsvInputFormat(columns, null, null, true, 0), null, null, tuningConfig, false, false);
    }
    IndexTask indexTask = new IndexTask(null, null, ingestionSpec, null);
    final List<DataSegment> segments = runTask(indexTask).rhs;
    Assert.assertEquals(1, segments.size());
    Assert.assertEquals(Collections.singletonList("d"), segments.get(0).getDimensions());
    Assert.assertEquals(Collections.singletonList("val"), segments.get(0).getMetrics());
    Assert.assertEquals(Intervals.of("2014/P1D"), segments.get(0).getInterval());
}

Example 45 with TimestampSpec

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

the class IndexTaskTest method testCSVFileWithHeader.

@Test
public void testCSVFileWithHeader() throws Exception {
    File tmpDir = temporaryFolder.newFolder();
    File tmpFile = File.createTempFile("druid", "index", tmpDir);
    try (BufferedWriter writer = Files.newWriter(tmpFile, StandardCharsets.UTF_8)) {
        writer.write("time,d,val\n");
        writer.write("2014-01-01T00:00:10Z,a,1\n");
    }
    final TimestampSpec timestampSpec = new TimestampSpec("time", "auto", null);
    final IndexTuningConfig tuningConfig = createTuningConfigWithMaxRowsPerSegment(2, true);
    final IndexIngestionSpec ingestionSpec;
    if (useInputFormatApi) {
        ingestionSpec = createIngestionSpec(jsonMapper, tmpDir, new CSVParseSpec(timestampSpec, DimensionsSpec.EMPTY, null, null, true, 0), null, null, tuningConfig, false, false);
    } else {
        ingestionSpec = createIngestionSpec(jsonMapper, tmpDir, timestampSpec, DimensionsSpec.EMPTY, new CsvInputFormat(null, null, null, true, 0), null, null, tuningConfig, false, false);
    }
    IndexTask indexTask = new IndexTask(null, null, ingestionSpec, null);
    final List<DataSegment> segments = runTask(indexTask).rhs;
    Assert.assertEquals(1, segments.size());
    Assert.assertEquals(Collections.singletonList("d"), segments.get(0).getDimensions());
    Assert.assertEquals(Collections.singletonList("val"), segments.get(0).getMetrics());
    Assert.assertEquals(Intervals.of("2014/P1D"), segments.get(0).getInterval());
}