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

Example 6 with TimestampSpec

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

the class DataSchemaTest method testDuplicateAggregators.

@Test
public void testDuplicateAggregators() {
    Map<String, Object> parser = jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("time", "auto", null), DimensionsSpec.builder().setDimensions(DimensionsSpec.getDefaultSchemas(ImmutableList.of("time"))).setDimensionExclusions(ImmutableList.of("dimC")).build(), null, null, null), null), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT);
    expectedException.expect(IllegalArgumentException.class);
    expectedException.expectMessage("Cannot specify a column more than once: [metric1] seen in metricsSpec list (2 occurrences); " + "[metric3] seen in metricsSpec list (2 occurrences)");
    DataSchema schema = new DataSchema(IdUtilsTest.VALID_ID_CHARS, parser, new AggregatorFactory[] { new DoubleSumAggregatorFactory("metric1", "col1"), new DoubleSumAggregatorFactory("metric2", "col2"), new DoubleSumAggregatorFactory("metric1", "col3"), new DoubleSumAggregatorFactory("metric3", "col4"), new DoubleSumAggregatorFactory("metric3", "col5") }, new ArbitraryGranularitySpec(Granularities.DAY, ImmutableList.of(Intervals.of("2014/2015"))), null, jsonMapper);
}

Example 7 with TimestampSpec

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

the class SegmentAnalyzerTest method testAnalyzingSegmentWithNonExistentAggregator.

/**
 * This test verifies that if a segment was created using an unknown/invalid aggregator
 * (which can happen if an aggregator was removed for a later version), then,
 * analyzing the segment doesn't fail and the result of analysis of the complex column
 * is reported as an error.
 * @throws IOException
 */
@Test
public void testAnalyzingSegmentWithNonExistentAggregator() throws IOException {
    final URL resource = SegmentAnalyzerTest.class.getClassLoader().getResource("druid.sample.numeric.tsv");
    CharSource source = Resources.asByteSource(resource).asCharSource(StandardCharsets.UTF_8);
    String invalid_aggregator = "invalid_aggregator";
    AggregatorFactory[] metrics = new AggregatorFactory[] { new DoubleSumAggregatorFactory(TestIndex.DOUBLE_METRICS[0], "index"), new HyperUniquesAggregatorFactory("quality_uniques", "quality"), new InvalidAggregatorFactory(invalid_aggregator, "quality") };
    final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder().withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis()).withTimestampSpec(new TimestampSpec("ds", "auto", null)).withDimensionsSpec(TestIndex.DIMENSIONS_SPEC).withMetrics(metrics).withRollup(true).build();
    final IncrementalIndex retVal = new OnheapIncrementalIndex.Builder().setIndexSchema(schema).setMaxRowCount(10000).build();
    IncrementalIndex incrementalIndex = TestIndex.loadIncrementalIndex(retVal, source);
    // Analyze the in-memory segment.
    {
        SegmentAnalyzer analyzer = new SegmentAnalyzer(EnumSet.of(SegmentMetadataQuery.AnalysisType.SIZE));
        IncrementalIndexSegment segment = new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("ds"));
        Map<String, ColumnAnalysis> analyses = analyzer.analyze(segment);
        ColumnAnalysis columnAnalysis = analyses.get(invalid_aggregator);
        Assert.assertFalse(columnAnalysis.isError());
        Assert.assertEquals("invalid_complex_column_type", columnAnalysis.getType());
        Assert.assertEquals(ColumnType.ofComplex("invalid_complex_column_type"), columnAnalysis.getTypeSignature());
    }
    // Persist the index.
    final File segmentFile = TestIndex.INDEX_MERGER.persist(incrementalIndex, temporaryFolder.newFolder(), TestIndex.INDEX_SPEC, null);
    // Unload the complex serde, then analyze the persisted segment.
    ComplexMetrics.unregisterSerde(InvalidAggregatorFactory.TYPE);
    {
        SegmentAnalyzer analyzer = new SegmentAnalyzer(EnumSet.of(SegmentMetadataQuery.AnalysisType.SIZE));
        QueryableIndexSegment segment = new QueryableIndexSegment(TestIndex.INDEX_IO.loadIndex(segmentFile), SegmentId.dummy("ds"));
        Map<String, ColumnAnalysis> analyses = analyzer.analyze(segment);
        ColumnAnalysis invalidColumnAnalysis = analyses.get(invalid_aggregator);
        Assert.assertTrue(invalidColumnAnalysis.isError());
        Assert.assertEquals("error:unknown_complex_invalid_complex_column_type", invalidColumnAnalysis.getErrorMessage());
        // Run a segment metadata query also to verify it doesn't break
        final List<SegmentAnalysis> results = getSegmentAnalysises(segment, EnumSet.of(SegmentMetadataQuery.AnalysisType.SIZE));
        for (SegmentAnalysis result : results) {
            Assert.assertTrue(result.getColumns().get(invalid_aggregator).isError());
        }
    }
}

Example 8 with TimestampSpec

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

the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithTimestampSpecMerge.

@Test
public void testSegmentMetadataQueryWithTimestampSpecMerge() {
    SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : SegmentId.dummy("testSegment").toString(), null, ImmutableMap.of("placement", new ColumnAnalysis(ColumnType.STRING, ValueType.STRING.toString(), false, false, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, new TimestampSpec("ds", "auto", null), null, null);
    QueryToolChest toolChest = FACTORY.getToolchest();
    ExecutorService exec = Executors.newCachedThreadPool();
    QueryRunner myRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(FACTORY.mergeRunners(Execs.directExecutor(), Lists.newArrayList(toolChest.preMergeQueryDecoration(runner1), toolChest.preMergeQueryDecoration(runner2)))), toolChest);
    SegmentMetadataQuery query = Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Collections.singletonList("placement"))).analysisTypes(SegmentMetadataQuery.AnalysisType.TIMESTAMPSPEC).merge(true).build();
    TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(QueryPlus.wrap(query)), "failed SegmentMetadata merging query");
    exec.shutdownNow();
}

Example 9 with TimestampSpec

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

the class IngestSegmentFirehoseTest method createTestIndex.

private void createTestIndex(File segmentDir) throws Exception {
    final List<String> rows = Lists.newArrayList("2014102200\thost1\t10\t0\t1", "2014102200\thost2\t20\t1\t0", "2014102200\thost3\t30\t1\t1", "2014102201\thost1\t10\t1\t1", "2014102201\thost2\t20\t1\t1", "2014102201\thost3\t30\t1\t1", "2014102202\thost1\t10\t1\t1", "2014102202\thost2\t20\t1\t1", "2014102202\thost3\t30\t1\t1");
    final StringInputRowParser parser = new StringInputRowParser(new DelimitedParseSpec(new TimestampSpec("timestamp", "yyyyMMddHH", null), DIMENSIONS_SPEC, "\t", null, ImmutableList.of("timestamp", "host", "visited", "x", "y", "spatial"), false, 0), StandardCharsets.UTF_8.toString());
    try (final IncrementalIndex index = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withDimensionsSpec(parser.getParseSpec().getDimensionsSpec()).withMetrics(AGGREGATORS.toArray(new AggregatorFactory[0])).build()).setMaxRowCount(5000).build()) {
        for (String line : rows) {
            index.add(parser.parse(line));
        }
        indexMerger.persist(index, segmentDir, new IndexSpec(), null);
    }
}

Example 10 with TimestampSpec

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

the class SqlFirehoseTest method testFirehoseStringParser.

@Test
public void testFirehoseStringParser() throws Exception {
    final TestCloseable closeable = new TestCloseable();
    List<Object> expectedResults = new ArrayList<>();
    for (Map<String, Object> map : inputs) {
        expectedResults.add(map.get("x"));
    }
    final List<JsonIterator<Map<String, Object>>> lineIterators = fileList.stream().map(s -> new JsonIterator<Map<String, Object>>(TYPE_REF, s, closeable, objectMapper)).collect(Collectors.toList());
    final InputRowParser stringParser = TransformSpec.NONE.decorate(new StringInputRowParser(new TimeAndDimsParseSpec(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("x")))), Charset.defaultCharset().name()));
    try (final SqlFirehose firehose = new SqlFirehose(lineIterators.iterator(), stringParser, closeable)) {
        final List<Object> results = new ArrayList<>();
        while (firehose.hasMore()) {
            final InputRow inputRow = firehose.nextRow();
            if (inputRow == null) {
                results.add(null);
            } else {
                results.add(inputRow.getDimension("x").get(0));
            }
        }
        Assert.assertEquals(expectedResults, results);
    }
}