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

Example 1 with MapInputRowParser

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

the class EventReceiverFirehoseTest method setUp.

@Before
public void setUp() {
    req = EasyMock.createMock(HttpServletRequest.class);
    eventReceiverFirehoseFactory = new EventReceiverFirehoseFactory(SERVICE_NAME, CAPACITY, MAX_IDLE_TIME_MILLIS, null, new DefaultObjectMapper(), new DefaultObjectMapper(), register, AuthTestUtils.TEST_AUTHORIZER_MAPPER);
    firehose = (EventReceiverFirehoseFactory.EventReceiverFirehose) eventReceiverFirehoseFactory.connect(new MapInputRowParser(new JSONParseSpec(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("d1"))), null, null, null)), null);
}

Example 2 with MapInputRowParser

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

the class QueryableIndexColumnCapabilitiesTest method setup.

@BeforeClass
public static void setup() throws IOException {
    MapInputRowParser parser = new MapInputRowParser(new TimeAndDimsParseSpec(new TimestampSpec("time", "auto", null), new DimensionsSpec(ImmutableList.<DimensionSchema>builder().addAll(DimensionsSpec.getDefaultSchemas(ImmutableList.of("d1", "d2"))).add(new DoubleDimensionSchema("d3")).add(new FloatDimensionSchema("d4")).add(new LongDimensionSchema("d5")).build())));
    AggregatorFactory[] metricsSpecs = new AggregatorFactory[] { new CountAggregatorFactory("cnt"), new DoubleSumAggregatorFactory("m1", "d3"), new FloatSumAggregatorFactory("m2", "d4"), new LongSumAggregatorFactory("m3", "d5"), new HyperUniquesAggregatorFactory("m4", "d1") };
    List<InputRow> rows = new ArrayList<>();
    Map<String, Object> event = ImmutableMap.<String, Object>builder().put("time", DateTimes.nowUtc().getMillis()).put("d1", "some string").put("d2", ImmutableList.of("some", "list")).put("d3", 1.234).put("d4", 1.234f).put("d5", 10L).build();
    rows.add(Iterables.getOnlyElement(parser.parseBatch(event)));
    IndexBuilder builder = IndexBuilder.create().rows(rows).schema(new IncrementalIndexSchema.Builder().withMetrics(metricsSpecs).withDimensionsSpec(parser).withRollup(false).build()).tmpDir(temporaryFolder.newFolder());
    INC_INDEX = builder.buildIncrementalIndex();
    MMAP_INDEX = builder.buildMMappedIndex();
    List<InputRow> rowsWithNulls = new ArrayList<>();
    rowsWithNulls.add(Iterables.getOnlyElement(parser.parseBatch(event)));
    Map<String, Object> eventWithNulls = new HashMap<>();
    eventWithNulls.put("time", DateTimes.nowUtc().getMillis());
    eventWithNulls.put("d1", null);
    eventWithNulls.put("d2", ImmutableList.of());
    eventWithNulls.put("d3", null);
    eventWithNulls.put("d4", null);
    eventWithNulls.put("d5", null);
    rowsWithNulls.add(Iterables.getOnlyElement(parser.parseBatch(eventWithNulls)));
    IndexBuilder builderWithNulls = IndexBuilder.create().rows(rowsWithNulls).schema(new IncrementalIndexSchema.Builder().withMetrics(metricsSpecs).withDimensionsSpec(parser).withRollup(false).build()).tmpDir(temporaryFolder.newFolder());
    INC_INDEX_WITH_NULLS = builderWithNulls.buildIncrementalIndex();
    MMAP_INDEX_WITH_NULLS = builderWithNulls.buildMMappedIndex();
}

Example 3 with MapInputRowParser

use of org.apache.druid.data.input.impl.MapInputRowParser 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 4 with MapInputRowParser

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

the class TaskLifecycleTest method newRealtimeIndexTask.

private RealtimeIndexTask newRealtimeIndexTask() {
    String taskId = StringUtils.format("rt_task_%s", System.currentTimeMillis());
    DataSchema dataSchema = new DataSchema("test_ds", TestHelper.makeJsonMapper().convertValue(new MapInputRowParser(new TimeAndDimsParseSpec(new TimestampSpec(null, null, null), DimensionsSpec.EMPTY)), JacksonUtils.TYPE_REFERENCE_MAP_STRING_OBJECT), new AggregatorFactory[] { new LongSumAggregatorFactory("count", "rows") }, new UniformGranularitySpec(Granularities.DAY, Granularities.NONE, null), null, mapper);
    RealtimeIOConfig realtimeIOConfig = new RealtimeIOConfig(new MockFirehoseFactory(), null);
    RealtimeTuningConfig realtimeTuningConfig = new RealtimeTuningConfig(null, 1000, null, null, new Period("P1Y"), // default window period of 10 minutes
    null, // base persist dir ignored by Realtime Index task
    null, null, null, null, null, null, null, 0, 0, null, null, null, null, null);
    FireDepartment fireDepartment = new FireDepartment(dataSchema, realtimeIOConfig, realtimeTuningConfig);
    return new RealtimeIndexTask(taskId, new TaskResource(taskId, 1), fireDepartment, null);
}

Example 5 with MapInputRowParser

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

the class IngestSegmentFirehoseFactoryTest method constructorFeeder.

@Parameterized.Parameters(name = "{0}")
public static Collection<Object[]> constructorFeeder() throws IOException {
    final IndexSpec indexSpec = new IndexSpec();
    final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder().withMinTimestamp(JodaUtils.MIN_INSTANT).withDimensionsSpec(ROW_PARSER).withMetrics(new LongSumAggregatorFactory(METRIC_LONG_NAME, DIM_LONG_NAME), new DoubleSumAggregatorFactory(METRIC_FLOAT_NAME, DIM_FLOAT_NAME)).build();
    final IncrementalIndex index = new OnheapIncrementalIndex.Builder().setIndexSchema(schema).setMaxRowCount(MAX_ROWS * MAX_SHARD_NUMBER).build();
    for (Integer i = 0; i < MAX_ROWS; ++i) {
        index.add(ROW_PARSER.parseBatch(buildRow(i.longValue())).get(0));
    }
    FileUtils.mkdirp(PERSIST_DIR);
    INDEX_MERGER_V9.persist(index, PERSIST_DIR, indexSpec, null);
    final CoordinatorClient cc = new CoordinatorClient(null, null) {

        @Override
        public Collection<DataSegment> fetchUsedSegmentsInDataSourceForIntervals(String dataSource, List<Interval> intervals) {
            return ImmutableSet.copyOf(SEGMENT_SET);
        }
    };
    SegmentHandoffNotifierFactory notifierFactory = EasyMock.createNiceMock(SegmentHandoffNotifierFactory.class);
    EasyMock.replay(notifierFactory);
    final SegmentCacheManagerFactory slf = new SegmentCacheManagerFactory(MAPPER);
    final RetryPolicyFactory retryPolicyFactory = new RetryPolicyFactory(new RetryPolicyConfig());
    Collection<Object[]> values = new ArrayList<>();
    for (InputRowParser parser : Arrays.<InputRowParser>asList(ROW_PARSER, new MapInputRowParser(new JSONParseSpec(new TimestampSpec(TIME_COLUMN, "auto", null), DimensionsSpec.builder().setDimensionExclusions(ImmutableList.of(DIM_FLOAT_NAME, DIM_LONG_NAME)).build(), null, null, null)))) {
        for (List<String> dim_names : Arrays.<List<String>>asList(null, ImmutableList.of(DIM_NAME))) {
            for (List<String> metric_names : Arrays.<List<String>>asList(null, ImmutableList.of(METRIC_LONG_NAME, METRIC_FLOAT_NAME))) {
                for (Boolean wrapInCombining : Arrays.asList(false, true)) {
                    final IngestSegmentFirehoseFactory isfFactory = new IngestSegmentFirehoseFactory(TASK.getDataSource(), Intervals.ETERNITY, null, new SelectorDimFilter(DIM_NAME, DIM_VALUE, null), dim_names, metric_names, null, INDEX_IO, cc, slf, retryPolicyFactory);
                    final FirehoseFactory factory = wrapInCombining ? new CombiningFirehoseFactory(ImmutableList.of(isfFactory)) : isfFactory;
                    values.add(new Object[] { StringUtils.format("DimNames[%s]MetricNames[%s]ParserDimNames[%s]WrapInCombining[%s]", dim_names == null ? "null" : "dims", metric_names == null ? "null" : "metrics", parser == ROW_PARSER ? "dims" : "null", wrapInCombining), factory, parser });
                }
            }
        }
    }
    return values;
}