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

Example 6 with InputFormat

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

the class InputSourceSamplerTest method testReaderCreationException.

@Test(expected = SamplerException.class)
public void testReaderCreationException() {
    InputSource failingReaderInputSource = new InputSource() {

        @Override
        public boolean isSplittable() {
            return false;
        }

        @Override
        public boolean needsFormat() {
            return false;
        }

        @Override
        public InputSourceReader reader(InputRowSchema inputRowSchema, @Nullable InputFormat inputFormat, File temporaryDirectory) {
            throw new RuntimeException();
        }
    };
    inputSourceSampler.sample(failingReaderInputSource, null, null, null);
}

Example 7 with InputFormat

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

the class IndexTaskSamplerSpecTest method testSerde.

@Test
public void testSerde() throws IOException {
    String json = "{\n" + "  \"type\": \"index\",\n" + "  \"samplerConfig\": {\n" + "    \"numRows\": 123,\n" + "    \"timeoutMs\": 2345\n" + "  },\n" + "  \"spec\": {\n" + "    \"dataSchema\": {\n" + "      \"dataSource\": \"sampler\",\n" + "      \"dimensionsSpec\": {},\n" + "      \"timestampSpec\": {\n" + "        \"missingValue\": \"1970\"\n" + "      }\n" + "    },\n" + "    \"ioConfig\": {\n" + "      \"type\": \"index\",\n" + "      \"inputSource\": {\n" + "        \"type\": \"local\",\n" + "        \"baseDir\": \"/tmp\",\n" + "        \"filter\": \"wikiticker-2015-09-12-sampled.json\"\n" + "      },\n" + "      \"inputFormat\": {\n" + "        \"type\": \"json\"\n" + "      }\n" + "    }\n" + "  }\n" + "}";
    Capture<InputSource> capturedInputSource = EasyMock.newCapture();
    Capture<InputFormat> capturedInputFormat = EasyMock.newCapture();
    Capture<DataSchema> capturedDataSchema = EasyMock.newCapture();
    Capture<SamplerConfig> capturedSamplerConfig = EasyMock.newCapture();
    IndexTaskSamplerSpec spec = MAPPER.readValue(json, IndexTaskSamplerSpec.class);
    EasyMock.expect(inputSourceSampler.sample(EasyMock.capture(capturedInputSource), EasyMock.capture(capturedInputFormat), EasyMock.capture(capturedDataSchema), EasyMock.capture(capturedSamplerConfig))).andReturn(new SamplerResponse(0, 0, null));
    replayAll();
    spec.sample();
    verifyAll();
    InputSource inputSource = capturedInputSource.getValue();
    Assert.assertEquals(new File("/tmp"), ((LocalInputSource) inputSource).getBaseDir());
    Assert.assertEquals("wikiticker-2015-09-12-sampled.json", ((LocalInputSource) inputSource).getFilter());
    DataSchema dataSchema = capturedDataSchema.getValue();
    Assert.assertEquals("sampler", dataSchema.getDataSource());
    Assert.assertEquals(JsonInputFormat.class, capturedInputFormat.getValue().getClass());
    SamplerConfig samplerConfig = capturedSamplerConfig.getValue();
    Assert.assertEquals(123, samplerConfig.getNumRows());
    Assert.assertEquals(2345, samplerConfig.getTimeoutMs());
}

Example 8 with InputFormat

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

the class RecordSupplierInputSourceTest method testRead.

@Test
public void testRead() throws IOException {
    final RandomCsvSupplier supplier = new RandomCsvSupplier();
    final InputSource inputSource = new RecordSupplierInputSource<>("topic", supplier, false);
    final List<String> colNames = IntStream.range(0, NUM_COLS).mapToObj(i -> StringUtils.format("col_%d", i)).collect(Collectors.toList());
    final InputFormat inputFormat = new CsvInputFormat(colNames, null, null, false, 0);
    final InputSourceReader reader = inputSource.reader(new InputRowSchema(new TimestampSpec("col_0", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(colNames.subList(1, colNames.size()))), ColumnsFilter.all()), inputFormat, temporaryFolder.newFolder());
    int read = 0;
    try (CloseableIterator<InputRow> iterator = reader.read()) {
        for (; read < NUM_ROWS && iterator.hasNext(); read++) {
            final InputRow inputRow = iterator.next();
            Assert.assertEquals(DateTimes.of(TIMESTAMP_STRING), inputRow.getTimestamp());
            Assert.assertEquals(NUM_COLS - 1, inputRow.getDimensions().size());
        }
    }
    Assert.assertEquals(NUM_ROWS, read);
    Assert.assertTrue(supplier.isClosed());
}

Example 9 with InputFormat

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

the class InputSourceSamplerTest method testWithTransformsAutoDimensions.

@Test
public void testWithTransformsAutoDimensions() throws IOException {
    final TimestampSpec timestampSpec = new TimestampSpec("t", null, null);
    final DimensionsSpec dimensionsSpec = new DimensionsSpec(null);
    final TransformSpec transformSpec = new TransformSpec(null, ImmutableList.of(new ExpressionTransform("dim1PlusBar", "concat(dim1, 'bar')", TestExprMacroTable.INSTANCE)));
    final AggregatorFactory[] aggregatorFactories = { new LongSumAggregatorFactory("met1", "met1") };
    final GranularitySpec granularitySpec = new UniformGranularitySpec(Granularities.DAY, Granularities.HOUR, true, null);
    final DataSchema dataSchema = createDataSchema(timestampSpec, dimensionsSpec, aggregatorFactories, granularitySpec, transformSpec);
    final InputSource inputSource = createInputSource(getTestRows(), dataSchema);
    final InputFormat inputFormat = createInputFormat();
    SamplerResponse response = inputSourceSampler.sample(inputSource, inputFormat, dataSchema, null);
    Assert.assertEquals(6, response.getNumRowsRead());
    Assert.assertEquals(5, response.getNumRowsIndexed());
    Assert.assertEquals(4, response.getData().size());
    List<SamplerResponseRow> data = response.getData();
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(0), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", null).put("met1", 6L).build(), null, null), data.get(0));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(3), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo2").put("dim2", null).put("met1", 4L).build(), null, null), data.get(1));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(4), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", "bar").put("met1", 5L).build(), null, null), data.get(2));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(5), null, true, getUnparseableTimestampString()), data.get(3));
}

Example 10 with InputFormat

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

the class InputSourceSamplerTest method testWithNoRollup.

@Test
public void testWithNoRollup() throws IOException {
    final TimestampSpec timestampSpec = new TimestampSpec("t", null, null);
    final DimensionsSpec dimensionsSpec = new DimensionsSpec(null);
    final AggregatorFactory[] aggregatorFactories = { new LongSumAggregatorFactory("met1", "met1") };
    final GranularitySpec granularitySpec = new UniformGranularitySpec(Granularities.DAY, Granularities.HOUR, false, null);
    final DataSchema dataSchema = createDataSchema(timestampSpec, dimensionsSpec, aggregatorFactories, granularitySpec, null);
    final InputSource inputSource = createInputSource(getTestRows(), dataSchema);
    final InputFormat inputFormat = createInputFormat();
    SamplerResponse response = inputSourceSampler.sample(inputSource, inputFormat, dataSchema, null);
    Assert.assertEquals(6, response.getNumRowsRead());
    Assert.assertEquals(5, response.getNumRowsIndexed());
    Assert.assertEquals(6, response.getData().size());
    List<SamplerResponseRow> data = response.getData();
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(0), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", null).put("met1", 1L).build(), null, null), data.get(0));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(1), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", null).put("met1", 2L).build(), null, null), data.get(1));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(2), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", null).put("met1", 3L).build(), null, null), data.get(2));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(3), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo2").put("dim2", null).put("met1", 4L).build(), null, null), data.get(3));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(4), new SamplerTestUtils.MapAllowingNullValuesBuilder<String, Object>().put("__time", 1555934400000L).put("dim1", "foo").put("dim2", "bar").put("met1", 5L).build(), null, null), data.get(4));
    assertEqualsSamplerResponseRow(new SamplerResponseRow(getRawColumns().get(5), null, true, getUnparseableTimestampString()), data.get(5));
}