当前位置: 首页>>代码示例>>Java>>正文

Java DoubleType.DOUBLE属性代码示例

本文整理汇总了Java中com.facebook.presto.spi.type.DoubleType.DOUBLE属性的典型用法代码示例。如果您正苦于以下问题：Java DoubleType.DOUBLE属性的具体用法？Java DoubleType.DOUBLE怎么用？Java DoubleType.DOUBLE使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类com.facebook.presto.spi.type.DoubleType的用法示例。


在下文中一共展示了DoubleType.DOUBLE属性的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: testNonExistent

@Test
public void testNonExistent()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonRowDecoder rowDecoder = new JsonRowDecoder(PROVIDER.get());
    DecoderTestColumnHandle row1 = new DecoderTestColumnHandle("", 0, "row1", VarcharType.VARCHAR, "very/deep/varchar", null, null, false, false, false);
    DecoderTestColumnHandle row2 = new DecoderTestColumnHandle("", 1, "row2", BigintType.BIGINT, "no_bigint", null, null, false, false, false);
    DecoderTestColumnHandle row3 = new DecoderTestColumnHandle("", 2, "row3", DoubleType.DOUBLE, "double/is_missing", null, null, false, false, false);
    DecoderTestColumnHandle row4 = new DecoderTestColumnHandle("", 3, "row4", BooleanType.BOOLEAN, "hello", null, null, false, false, false);

    List<DecoderColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4);
    Set<FieldValueProvider> providers = new HashSet<>();

    boolean corrupt = rowDecoder.decodeRow(json, null, providers, columns, buildMap(columns));
    assertFalse(corrupt);

    assertEquals(providers.size(), columns.size());

    checkIsNull(providers, row1);
    checkIsNull(providers, row2);
    checkIsNull(providers, row3);
    checkIsNull(providers, row4);
}
开发者ID:y-lan，项目名称:presto，代码行数:25，代码来源:TestJsonDecoder.java

示例2: testNulls

@Test
public void testNulls()
{
    String csv = ",,,";

    CsvRowDecoder rowDecoder = new CsvRowDecoder();

    DecoderTestColumnHandle row1 = new DecoderTestColumnHandle("", 0, "row1", VarcharType.VARCHAR, "0", null, null, false, false, false);
    DecoderTestColumnHandle row2 = new DecoderTestColumnHandle("", 1, "row2", BigintType.BIGINT, "1", null, null, false, false, false);
    DecoderTestColumnHandle row3 = new DecoderTestColumnHandle("", 2, "row3", DoubleType.DOUBLE, "2", null, null, false, false, false);
    DecoderTestColumnHandle row4 = new DecoderTestColumnHandle("", 3, "row4", BooleanType.BOOLEAN, "3", null, null, false, false, false);

    List<DecoderColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4);

    Set<FieldValueProvider> providers = new HashSet<>();

    boolean corrupt = rowDecoder.decodeRow(csv.getBytes(StandardCharsets.UTF_8), null, providers, columns, buildMap(columns));
    assertFalse(corrupt);

    assertEquals(providers.size(), columns.size());

    checkValue(providers, row1, "");
    checkValue(providers, row2, 0);
    checkValue(providers, row3, 0.0d);
    checkValue(providers, row4, false);
}
开发者ID:y-lan，项目名称:presto，代码行数:26，代码来源:TestCsvDecoder.java

示例3: testNonExistent

@Test
public void testNonExistent()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "very/deep/varchar", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", BigintType.BIGINT, "no_bigint", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", DoubleType.DOUBLE, "double/is_missing", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BooleanType.BOOLEAN, "hello", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkIsNull(providers, row1);
    DecoderTestUtil.checkIsNull(providers, row2);
    DecoderTestUtil.checkIsNull(providers, row3);
    DecoderTestUtil.checkIsNull(providers, row4);
}
开发者ID:qubole，项目名称:presto-kinesis，代码行数:25，代码来源:TestJsonDecoder.java

示例4: testSimple

@Test
public void testSimple()
{
    String csv = "\"row 1\",row2,\"row3\",100,\"200\",300,4.5";

    CsvRowDecoder rowDecoder = new CsvRowDecoder();
    DecoderTestColumnHandle row1 = new DecoderTestColumnHandle("", 0, "row1", VarcharType.VARCHAR, "0", null, null, false, false, false);
    DecoderTestColumnHandle row2 = new DecoderTestColumnHandle("", 1, "row2", VarcharType.VARCHAR, "1", null, null, false, false, false);
    DecoderTestColumnHandle row3 = new DecoderTestColumnHandle("", 2, "row3", VarcharType.VARCHAR, "2", null, null, false, false, false);
    DecoderTestColumnHandle row4 = new DecoderTestColumnHandle("", 3, "row4", BigintType.BIGINT, "3", null, null, false, false, false);
    DecoderTestColumnHandle row5 = new DecoderTestColumnHandle("", 4, "row5", BigintType.BIGINT, "4", null, null, false, false, false);
    DecoderTestColumnHandle row6 = new DecoderTestColumnHandle("", 5, "row6", BigintType.BIGINT, "5", null, null, false, false, false);
    DecoderTestColumnHandle row7 = new DecoderTestColumnHandle("", 6, "row7", DoubleType.DOUBLE, "6", null, null, false, false, false);

    List<DecoderColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6, row7);
    Set<FieldValueProvider> providers = new HashSet<>();

    boolean corrupt = rowDecoder.decodeRow(csv.getBytes(StandardCharsets.UTF_8), null, providers, columns, buildMap(columns));
    assertFalse(corrupt);

    assertEquals(providers.size(), columns.size());

    checkValue(providers, row1, "row 1");
    checkValue(providers, row2, "row2");
    checkValue(providers, row3, "row3");
    checkValue(providers, row4, 100);
    checkValue(providers, row5, 200);
    checkValue(providers, row6, 300);
    checkValue(providers, row7, 4.5d);
}
开发者ID:y-lan，项目名称:presto，代码行数:30，代码来源:TestCsvDecoder.java

示例5: getType

private Type getType(TableType columnType) {
  switch (columnType) {
  case BOOLEAN:
    return BooleanType.BOOLEAN;
  case NUMBER:
    return DoubleType.DOUBLE;
  case STRING:
    return VarcharType.VARCHAR;
  default:
    throw new PrestoException(SpreadsheetErrorCode.INTERNAL_ERROR, "Not Supported [" + columnType + "]");
  }
}
开发者ID:fortitudetec，项目名称:presto-plugins，代码行数:12，代码来源:SpreadsheetMetadata.java

示例6: testSimple

@Test
public void testSimple()
{
    String csv = "\"row 1\",row2,\"row3\",100,\"200\",300,4.5";

    CsvKinesisRowDecoder rowDecoder = new CsvKinesisRowDecoder();
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "0", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "1", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", VarcharType.VARCHAR, "2", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "3", null, null, false, false);
    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", BigintType.BIGINT, "4", null, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", BigintType.BIGINT, "5", null, null, false, false);
    KinesisColumnHandle row7 = new KinesisColumnHandle("", 6, "row7", DoubleType.DOUBLE, "6", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6, row7);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(csv.getBytes(StandardCharsets.UTF_8), providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkValue(providers, row1, "row 1");
    DecoderTestUtil.checkValue(providers, row2, "row2");
    DecoderTestUtil.checkValue(providers, row3, "row3");
    DecoderTestUtil.checkValue(providers, row4, 100);
    DecoderTestUtil.checkValue(providers, row5, 200);
    DecoderTestUtil.checkValue(providers, row6, 300);
    DecoderTestUtil.checkValue(providers, row7, 4.5d);
}
开发者ID:qubole，项目名称:presto-kinesis，代码行数:30，代码来源:TestCsvDecoder.java

示例7: getType

private Type getType(String typeName)
{
    log.debug("Get type " + typeName);
    typeName = typeName.toLowerCase();
    // check if type is varchar(xx)
    Pattern vcpattern = Pattern.compile("varchar\\(\\s*(\\d+)\\s*\\)");
    Matcher vcmatcher = vcpattern.matcher(typeName);
    if (vcmatcher.find()) {
        String vlen = vcmatcher.group(1);
        if (!vlen.isEmpty()) {
            return VarcharType.createVarcharType(Integer.parseInt(vlen));
        }
        return UnknownType.UNKNOWN;
    }
    // check if type is char(xx)
    Pattern cpattern = Pattern.compile("char\\(\\s*(\\d+)\\s*\\)");
    Matcher cmatcher = cpattern.matcher(typeName);
    if (cmatcher.find()) {
        String clen = cmatcher.group(1);
        if (!clen.isEmpty()) {
            return CharType.createCharType(Integer.parseInt(clen));
        }
        return UnknownType.UNKNOWN;
    }
    // check if type is decimal(precision, scale)
    Pattern dpattern = Pattern.compile("decimal\\((\\d+)\\s*,?\\s*(\\d*)\\)");
    Matcher dmatcher = dpattern.matcher(typeName);
    if (dmatcher.find()) {
        String dprecision = dmatcher.group(1);
        String dscale = dmatcher.group(2);
        if (dprecision.isEmpty()) {
            return UnknownType.UNKNOWN;
        }
        if (dscale.isEmpty()) {
            return DecimalType.createDecimalType(Integer.parseInt(dprecision));
        }
        return DecimalType.createDecimalType(Integer.parseInt(dprecision), Integer.parseInt(dscale));
    }
    switch (typeName) {
        case "boolean": return BooleanType.BOOLEAN;
        case "tinyint": return TinyintType.TINYINT;
        case "smallint": return SmallintType.SMALLINT;
        case "integer": return IntegerType.INTEGER;
        case "bigint": return BigintType.BIGINT;
        case "real": return RealType.REAL;
        case "double": return DoubleType.DOUBLE;
        case "date": return DateType.DATE;
        case "time": return TimeType.TIME;
        case "timestamp": return TimestampType.TIMESTAMP;
        default: return UnknownType.UNKNOWN;
    }
}
开发者ID:dbiir，项目名称:paraflow，代码行数:52，代码来源:MetaDataQuery.java


注：本文中的com.facebook.presto.spi.type.DoubleType.DOUBLE属性示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。