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

Example 26 with StringInputRowParser

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

the class DruidJsonValidator method run.

@Override
public void run() {
    File file = new File(jsonFile);
    if (!file.exists()) {
        LOG.info("File[%s] does not exist.%n", file);
    }
    final Injector injector = makeInjector();
    final ObjectMapper jsonMapper = injector.getInstance(ObjectMapper.class);
    registerModules(jsonMapper, Iterables.concat(Initialization.getFromExtensions(injector.getInstance(ExtensionsConfig.class), DruidModule.class), Arrays.asList(new FirehoseModule(), new IndexingHadoopModule(), new IndexingServiceFirehoseModule(), new IndexingServiceInputSourceModule(), new LocalDataStorageDruidModule())));
    final ClassLoader loader;
    if (Thread.currentThread().getContextClassLoader() != null) {
        loader = Thread.currentThread().getContextClassLoader();
    } else {
        loader = DruidJsonValidator.class.getClassLoader();
    }
    if (toLogger) {
        logWriter = new NullWriter() {

            private final Logger logger = new Logger(DruidJsonValidator.class);

            @Override
            public void write(char[] cbuf, int off, int len) {
                logger.info(new String(cbuf, off, len));
            }
        };
    }
    try {
        if ("query".equalsIgnoreCase(type)) {
            jsonMapper.readValue(file, Query.class);
        } else if ("hadoopConfig".equalsIgnoreCase(type)) {
            jsonMapper.readValue(file, HadoopDruidIndexerConfig.class);
        } else if ("task".equalsIgnoreCase(type)) {
            jsonMapper.readValue(file, Task.class);
        } else if ("parse".equalsIgnoreCase(type)) {
            final StringInputRowParser parser;
            if (file.isFile()) {
                logWriter.write("loading parse spec from file '" + file + "'");
                parser = jsonMapper.readValue(file, StringInputRowParser.class);
            } else if (loader.getResource(jsonFile) != null) {
                logWriter.write("loading parse spec from resource '" + jsonFile + "'");
                parser = jsonMapper.readValue(loader.getResource(jsonFile), StringInputRowParser.class);
            } else {
                logWriter.write("cannot find proper spec from 'file'.. regarding it as a json spec");
                parser = jsonMapper.readValue(jsonFile, StringInputRowParser.class);
            }
            parser.initializeParser();
            if (resource != null) {
                final CharSource source;
                if (new File(resource).isFile()) {
                    logWriter.write("loading data from file '" + resource + "'");
                    source = Resources.asByteSource(new File(resource).toURI().toURL()).asCharSource(Charset.forName(parser.getEncoding()));
                } else if (loader.getResource(resource) != null) {
                    logWriter.write("loading data from resource '" + resource + "'");
                    source = Resources.asByteSource(loader.getResource(resource)).asCharSource(Charset.forName(parser.getEncoding()));
                } else {
                    logWriter.write("cannot find proper data from 'resource'.. regarding it as data string");
                    source = CharSource.wrap(resource);
                }
                readData(parser, source);
            }
        } else {
            throw new UOE("Unknown type[%s]", type);
        }
    } catch (Exception e) {
        LOG.error(e, "INVALID JSON!");
        Throwables.propagateIfPossible(e);
        throw new RuntimeException(e);
    }
}

Example 27 with StringInputRowParser

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

the class DataSchemaTest method testDefaultExclusions.

@Test
public void testDefaultExclusions() {
    Map<String, Object> parser = jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("time", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dimB", "dimA"))), null, null, null), null), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT);
    DataSchema schema = new DataSchema(IdUtilsTest.VALID_ID_CHARS, parser, new AggregatorFactory[] { new DoubleSumAggregatorFactory("metric1", "col1"), new DoubleSumAggregatorFactory("metric2", "col2") }, new ArbitraryGranularitySpec(Granularities.DAY, ImmutableList.of(Intervals.of("2014/2015"))), null, jsonMapper);
    Assert.assertEquals(ImmutableSet.of("__time", "time", "col1", "col2", "metric1", "metric2"), schema.getDimensionsSpec().getDimensionExclusions());
}

Example 28 with StringInputRowParser

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

the class DataSchemaTest method testOverlapMetricNameAndDim.

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

Example 29 with StringInputRowParser

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

the class DataSchemaTest method testSerdeWithUpdatedDataSchemaRemovedField.

@Test
public void testSerdeWithUpdatedDataSchemaRemovedField() throws IOException {
    Map<String, Object> parser = jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("time", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dimB", "dimA"))), null, null, null), null), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT);
    TestModifiedDataSchema originalSchema = new TestModifiedDataSchema(IdUtilsTest.VALID_ID_CHARS, null, null, new AggregatorFactory[] { new DoubleSumAggregatorFactory("metric1", "col1"), new DoubleSumAggregatorFactory("metric2", "col2") }, new ArbitraryGranularitySpec(Granularities.DAY, ImmutableList.of(Intervals.of("2014/2015"))), null, parser, jsonMapper, "some arbitrary string");
    String serialized = jsonMapper.writeValueAsString(originalSchema);
    DataSchema deserialized = jsonMapper.readValue(serialized, DataSchema.class);
    Assert.assertEquals(originalSchema.getDataSource(), deserialized.getDataSource());
    Assert.assertEquals(originalSchema.getGranularitySpec(), deserialized.getGranularitySpec());
    Assert.assertEquals(originalSchema.getParser().getParseSpec(), deserialized.getParser().getParseSpec());
    Assert.assertArrayEquals(originalSchema.getAggregators(), deserialized.getAggregators());
    Assert.assertEquals(originalSchema.getTransformSpec(), deserialized.getTransformSpec());
    Assert.assertEquals(originalSchema.getParserMap(), deserialized.getParserMap());
}

Example 30 with StringInputRowParser

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

the class DataSchemaTest method testSerdeWithUpdatedDataSchemaAddedField.

@Test
public void testSerdeWithUpdatedDataSchemaAddedField() throws IOException {
    Map<String, Object> parser = jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("time", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dimB", "dimA"))), null, null, null), null), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT);
    DataSchema originalSchema = new DataSchema(IdUtilsTest.VALID_ID_CHARS, parser, new AggregatorFactory[] { new DoubleSumAggregatorFactory("metric1", "col1"), new DoubleSumAggregatorFactory("metric2", "col2") }, new ArbitraryGranularitySpec(Granularities.DAY, ImmutableList.of(Intervals.of("2014/2015"))), null, jsonMapper);
    String serialized = jsonMapper.writeValueAsString(originalSchema);
    TestModifiedDataSchema deserialized = jsonMapper.readValue(serialized, TestModifiedDataSchema.class);
    Assert.assertEquals(null, deserialized.getExtra());
    Assert.assertEquals(originalSchema.getDataSource(), deserialized.getDataSource());
    Assert.assertEquals(originalSchema.getGranularitySpec(), deserialized.getGranularitySpec());
    Assert.assertEquals(originalSchema.getParser().getParseSpec(), deserialized.getParser().getParseSpec());
    Assert.assertArrayEquals(originalSchema.getAggregators(), deserialized.getAggregators());
    Assert.assertEquals(originalSchema.getTransformSpec(), deserialized.getTransformSpec());
    Assert.assertEquals(originalSchema.getParserMap(), deserialized.getParserMap());
}