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

Example 51 with InputRowSchema

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

the class CompatParquetReaderTest method testParquet1217.

@Test
public void testParquet1217() throws IOException {
    final String file = "example/compat/parquet-1217.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", DateTimes.of("2018-09-01T00:00:00.000Z")), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of())), ColumnsFilter.all());
    List<JSONPathFieldSpec> flattenExpr = ImmutableList.of(new JSONPathFieldSpec(JSONPathFieldType.ROOT, "col", "col"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "metric1", "$.col"));
    JSONPathSpec flattenSpec = new JSONPathSpec(true, flattenExpr);
    InputEntityReader reader = createReader(file, schema, flattenSpec);
    List<InputRow> rows = readAllRows(reader);
    Assert.assertEquals("2018-09-01T00:00:00.000Z", rows.get(0).getTimestamp().toString());
    Assert.assertEquals("-1", rows.get(0).getDimension("col").get(0));
    Assert.assertEquals(-1, rows.get(0).getMetric("metric1"));
    Assert.assertTrue(rows.get(4).getDimension("col").isEmpty());
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    final String expectedJson = "{\n" + "  \"col\" : -1\n" + "}";
    Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}

Example 52 with InputRowSchema

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

the class DecimalParquetReaderTest method testReadParquetDecimali32.

@Test
public void testReadParquetDecimali32() throws IOException {
    final String file = "example/decimals/dec-in-i32.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", DateTimes.of("2018-09-01T00:00:00.000Z")), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("i32_dec"))), ColumnsFilter.all());
    List<JSONPathFieldSpec> flattenExpr = ImmutableList.of(new JSONPathFieldSpec(JSONPathFieldType.ROOT, "i32_dec", "i32_dec"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "metric1", "$.i32_dec"));
    JSONPathSpec flattenSpec = new JSONPathSpec(true, flattenExpr);
    InputEntityReader reader = createReader(file, schema, flattenSpec);
    List<InputRow> rows = readAllRows(reader);
    Assert.assertEquals("2018-09-01T00:00:00.000Z", rows.get(1).getTimestamp().toString());
    Assert.assertEquals("100", rows.get(1).getDimension("i32_dec").get(0));
    Assert.assertEquals(new BigDecimal(100), rows.get(1).getMetric("metric1"));
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    final String expectedJson = "{\n" + "  \"i32_dec\" : 100\n" + "}";
    Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(1).getRawValues()));
}

Example 53 with InputRowSchema

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

the class FlattenSpecParquetReaderTest method testNested1Flatten.

@Test
public void testNested1Flatten() throws IOException {
    final String file = "example/flattening/test_nested_1.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of())), ColumnsFilter.all());
    List<JSONPathFieldSpec> flattenExpr = ImmutableList.of(new JSONPathFieldSpec(JSONPathFieldType.ROOT, "timestamp", null), new JSONPathFieldSpec(JSONPathFieldType.ROOT, "dim1", null), new JSONPathFieldSpec(JSONPathFieldType.PATH, "dim2", "$.nestedData.dim2"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "dim3", "$.nestedData.dim3"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "metric2", "$.nestedData.metric2"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "listDim", "$.nestedData.listDim[*]"));
    JSONPathSpec flattenSpec = new JSONPathSpec(true, flattenExpr);
    InputEntityReader reader = createReader(file, schema, flattenSpec);
    List<InputRow> rows = readAllRows(reader);
    Assert.assertEquals(FlattenSpecParquetInputTest.TS1, rows.get(0).getTimestamp().toString());
    Assert.assertEquals("d1v1", rows.get(0).getDimension("dim1").get(0));
    Assert.assertEquals("d2v1", rows.get(0).getDimension("dim2").get(0));
    Assert.assertEquals("1", rows.get(0).getDimension("dim3").get(0));
    Assert.assertEquals("listDim1v1", rows.get(0).getDimension("listDim").get(0));
    Assert.assertEquals("listDim1v2", rows.get(0).getDimension("listDim").get(1));
    Assert.assertEquals(1, rows.get(0).getMetric("metric1").longValue());
    Assert.assertEquals(2, rows.get(0).getMetric("metric2").longValue());
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    Assert.assertEquals(NESTED_JSON, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}

Example 54 with InputRowSchema

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

the class FlattenSpecParquetReaderTest method testNested1NoFlattenSpec.

@Test
public void testNested1NoFlattenSpec() throws IOException {
    final String file = "example/flattening/test_nested_1.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dim1"))), ColumnsFilter.all());
    JSONPathSpec flattenSpec = new JSONPathSpec(false, ImmutableList.of());
    InputEntityReader reader = createReader(file, schema, flattenSpec);
    List<InputRow> rows = readAllRows(reader);
    Assert.assertEquals(FlattenSpecParquetInputTest.TS1, rows.get(0).getTimestamp().toString());
    Assert.assertEquals("d1v1", rows.get(0).getDimension("dim1").get(0));
    List<String> dims = rows.get(0).getDimensions();
    Assert.assertEquals(1, dims.size());
    Assert.assertFalse(dims.contains("dim2"));
    Assert.assertFalse(dims.contains("dim3"));
    Assert.assertFalse(dims.contains("listDim"));
    Assert.assertFalse(dims.contains("nestedData"));
    Assert.assertEquals(1, rows.get(0).getMetric("metric1").longValue());
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    Assert.assertEquals(NESTED_JSON, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}

Example 55 with InputRowSchema

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

the class OrcReaderTest method createReader.

private InputEntityReader createReader(TimestampSpec timestampSpec, DimensionsSpec dimensionsSpec, InputFormat inputFormat, String dataFile) throws IOException {
    final InputRowSchema schema = new InputRowSchema(timestampSpec, dimensionsSpec, ColumnsFilter.all());
    final FileEntity entity = new FileEntity(new File(dataFile));
    return inputFormat.createReader(schema, entity, temporaryFolder.newFolder());
}