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

Example 61 with InputRow

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

the class DecimalParquetReaderTest method testReadParquetDecimali64.

@Test
public void testReadParquetDecimali64() throws IOException {
    final String file = "example/decimals/dec-in-i64.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", DateTimes.of("2018-09-01T00:00:00.000Z")), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("i64_dec"))), ColumnsFilter.all());
    List<JSONPathFieldSpec> flattenExpr = ImmutableList.of(new JSONPathFieldSpec(JSONPathFieldType.ROOT, "i32_dec", "i64_dec"), new JSONPathFieldSpec(JSONPathFieldType.PATH, "metric1", "$.i64_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("i64_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" + "  \"i64_dec\" : 100\n" + "}";
    Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(1).getRawValues()));
}

Example 62 with InputRow

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

the class FlattenSpecParquetReaderTest method testFlat1FlattenSelectListItem.

@Test
public void testFlat1FlattenSelectListItem() throws IOException {
    final String file = "example/flattening/test_flat_1.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dim1", "dim2", "listExtracted"))), ColumnsFilter.all());
    List<JSONPathFieldSpec> flattenExpr = ImmutableList.of(new JSONPathFieldSpec(JSONPathFieldType.ROOT, "timestamp", null), new JSONPathFieldSpec(JSONPathFieldType.ROOT, "dim1", null), new JSONPathFieldSpec(JSONPathFieldType.ROOT, "dim2", null), new JSONPathFieldSpec(JSONPathFieldType.PATH, "listExtracted", "$.listDim[1]"));
    JSONPathSpec flattenSpec = new JSONPathSpec(false, 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("listDim1v2", rows.get(0).getDimension("listExtracted").get(0));
    Assert.assertEquals(1, rows.get(0).getMetric("metric1").longValue());
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    Assert.assertEquals(FLAT_JSON, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}

Example 63 with InputRow

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

the class FlattenSpecParquetReaderTest method testNested1FlattenSelectListItem.

@Test
public void testNested1FlattenSelectListItem() 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, "listextracted", "$.nestedData.listDim[1]"));
    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("listDim1v2", rows.get(0).getDimension("listextracted").get(0));
    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 64 with InputRow

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

the class FlattenSpecParquetReaderTest method testFlat1NoFlattenSpec.

@Test
public void testFlat1NoFlattenSpec() throws IOException {
    final String file = "example/flattening/test_flat_1.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dim1", "dim2", "dim3", "listDim"))), 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));
    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());
    reader = createReader(file, schema, flattenSpec);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    Assert.assertEquals(FLAT_JSON, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}

Example 65 with InputRow

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

the class FlattenSpecParquetReaderTest method testFlat1Autodiscover.

@Test
public void testFlat1Autodiscover() throws IOException {
    final String file = "example/flattening/test_flat_1.parquet";
    InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of())), ColumnsFilter.all());
    InputEntityReader reader = createReader(file, schema, JSONPathSpec.DEFAULT);
    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());
    reader = createReader(file, schema, JSONPathSpec.DEFAULT);
    List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
    Assert.assertEquals(FLAT_JSON, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}