Java DoubleType类代码示例

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@Test
public void testPoly_contains() throws Exception {


    double[] poly = new double[]{
            45, 9.5,
            45.5, 9.5,
            45.5, 9,
            46, 9,
            46, 10,
            45, 10
    };

    Block blockPoly = toBlock(poly);
    assertFalse(PolyContains.contains(DoubleType.DOUBLE, blockPoly, 6, 3));
    assertFalse(PolyContains.contains(DoubleType.DOUBLE, blockPoly, 45, 9));
    assertTrue(PolyContains.contains(DoubleType.DOUBLE, blockPoly, 45.7, 9.7));

}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
public static JDBCType jdbcType(Type type)
{
    if (type.equals(BooleanType.BOOLEAN)) {
        return JDBCType.BOOLEAN;
    }
    if (type.equals(BigintType.BIGINT) || type.equals(TimestampType.TIMESTAMP)) {
        return JDBCType.BIGINT;
    }
    if (type.equals(DoubleType.DOUBLE)) {
        return JDBCType.DOUBLE;
    }
    if (type.equals(DateType.DATE)) {
        return JDBCType.INTEGER;
    }
    if (type.equals(VarcharType.VARCHAR)) {
        return JDBCType.VARBINARY;
    }
    return null;
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private static ColumnStats doComputeColumnStats(OrcReader orcReader, long columnId, Type type)
        throws IOException
{
    int columnIndex = columnIndex(orcReader.getColumnNames(), columnId);
    OrcRecordReader reader = orcReader.createRecordReader(ImmutableMap.of(columnIndex, type), OrcPredicate.TRUE, UTC, new AggregatedMemoryContext());

    if (type.equals(BooleanType.BOOLEAN)) {
        return indexBoolean(type, reader, columnIndex, columnId);
    }
    if (type.equals(BigintType.BIGINT) ||
            type.equals(DateType.DATE) ||
            type.equals(TimestampType.TIMESTAMP)) {
        return indexLong(type, reader, columnIndex, columnId);
    }
    if (type.equals(DoubleType.DOUBLE)) {
        return indexDouble(type, reader, columnIndex, columnId);
    }
    if (type.equals(VarcharType.VARCHAR)) {
        return indexString(type, reader, columnIndex, columnId);
    }
    return null;
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@OutputFunction("map<double,double>")
public static void output(State state, BlockBuilder out)
{
    if (state.get() == null) {
        out.appendNull();
    }
    else {
        Map<Double, Double> value = state.get().getBuckets();
        BlockBuilder blockBuilder = DoubleType.DOUBLE.createBlockBuilder(new BlockBuilderStatus(), value.size() * 2);
        for (Map.Entry<Double, Double> entry : value.entrySet()) {
            DoubleType.DOUBLE.writeDouble(blockBuilder, entry.getKey());
            DoubleType.DOUBLE.writeDouble(blockBuilder, entry.getValue());
        }
        Block block = blockBuilder.build();
        out.writeObject(block);
        out.closeEntry();
    }
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@NotNull
public static String serializeSessionProperty(Type type, Object value)
{
    if (value == null) {
        throw new PrestoException(INVALID_SESSION_PROPERTY, "Session property can not be null");
    }
    if (BooleanType.BOOLEAN.equals(type)) {
        return value.toString();
    }
    if (BigintType.BIGINT.equals(type)) {
        return value.toString();
    }
    if (DoubleType.DOUBLE.equals(type)) {
        return value.toString();
    }
    if (VarcharType.VARCHAR.equals(type)) {
        return value.toString();
    }
    if (type instanceof ArrayType || type instanceof MapType) {
        return getJsonCodecForType(type).toJson(value);
    }
    throw new PrestoException(INVALID_SESSION_PROPERTY, format("Session property type %s is not supported", type));
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@NotNull
private static Object deserializeSessionProperty(Type type, String value)
{
    if (value == null) {
        throw new PrestoException(INVALID_SESSION_PROPERTY, "Session property can not be null");
    }
    if (VarcharType.VARCHAR.equals(type)) {
        return value;
    }
    if (BooleanType.BOOLEAN.equals(type)) {
        return Boolean.valueOf(value);
    }
    if (BigintType.BIGINT.equals(type)) {
        return Long.valueOf(value);
    }
    if (DoubleType.DOUBLE.equals(type)) {
        return Double.valueOf(value);
    }
    if (type instanceof ArrayType || type instanceof MapType) {
        return getJsonCodecForType(type).fromJson(value);
    }
    throw new PrestoException(INVALID_SESSION_PROPERTY, format("Session property type %s is not supported", type));
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private static <T> JsonCodec<T> getJsonCodecForType(Type type)
{
    if (VarcharType.VARCHAR.equals(type)) {
        return (JsonCodec<T>) JSON_CODEC_FACTORY.jsonCodec(String.class);
    }
    if (BooleanType.BOOLEAN.equals(type)) {
        return (JsonCodec<T>) JSON_CODEC_FACTORY.jsonCodec(Boolean.class);
    }
    if (BigintType.BIGINT.equals(type)) {
        return (JsonCodec<T>) JSON_CODEC_FACTORY.jsonCodec(Long.class);
    }
    if (DoubleType.DOUBLE.equals(type)) {
        return (JsonCodec<T>) JSON_CODEC_FACTORY.jsonCodec(Double.class);
    }
    if (type instanceof ArrayType) {
        Type elementType = ((ArrayType) type).getElementType();
        return (JsonCodec<T>) JSON_CODEC_FACTORY.listJsonCodec(getJsonCodecForType(elementType));
    }
    if (type instanceof MapType) {
        Type keyType = ((MapType) type).getKeyType();
        Type valueType = ((MapType) type).getValueType();
        return (JsonCodec<T>) JSON_CODEC_FACTORY.mapJsonCodec(getMapKeyType(keyType), getJsonCodecForType(valueType));
    }
    throw new PrestoException(INVALID_SESSION_PROPERTY, format("Session property type %s is not supported", type));
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private static Class<?> getMapKeyType(Type type)
{
    if (VarcharType.VARCHAR.equals(type)) {
        return String.class;
    }
    if (BooleanType.BOOLEAN.equals(type)) {
        return Boolean.class;
    }
    if (BigintType.BIGINT.equals(type)) {
        return Long.class;
    }
    if (DoubleType.DOUBLE.equals(type)) {
        return Double.class;
    }
    throw new PrestoException(INVALID_SESSION_PROPERTY, format("Session property map key type %s is not supported", type));
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@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);
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@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);
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@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);
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private List<String> toConjuncts(List<JdbcColumnHandle> columns, TupleDomain<ColumnHandle> tupleDomain)
{
    ImmutableList.Builder<String> builder = ImmutableList.builder();
    for (JdbcColumnHandle column : columns) {
        Type type = column.getColumnType();
        if (type.equals(BigintType.BIGINT) || type.equals(DoubleType.DOUBLE) || type.equals(BooleanType.BOOLEAN)) {
            Domain domain = tupleDomain.getDomains().get().get(column);
            if (domain != null) {
                builder.add(toPredicate(column.getColumnName(), domain));
            }
        }
    }
    return builder.build();
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
@Test
public void testDouble()
        throws Exception
{
    InternalAggregationFunction doubleAgg = metadata.getFunctionRegistry().getAggregateFunctionImplementation(new Signature("checksum", AGGREGATE, VARBINARY, DOUBLE));
    Block block = createDoublesBlock(null, 2.0, null, 3.0, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, Double.NaN);
    assertAggregation(doubleAgg, 1.0, expectedChecksum(DoubleType.DOUBLE, block), block);
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private static Block featuresHelper(double... features)
{
    BlockBuilder blockBuilder = new VariableWidthBlockBuilder(new BlockBuilderStatus(), features.length, 8 + 8);

    for (int i = 0; i < features.length; i++) {
        BigintType.BIGINT.writeLong(blockBuilder, i);
        DoubleType.DOUBLE.writeDouble(blockBuilder, features[i]);
    }

    return blockBuilder.build();
}
 

import com.facebook.presto.spi.type.DoubleType; //导入依赖的package包/类
private static Page getPage()
        throws JsonProcessingException
{
    Type mapType = typeManager.getParameterizedType("map", ImmutableList.of(parseTypeSignature(StandardTypes.BIGINT), parseTypeSignature(StandardTypes.DOUBLE)), ImmutableList.of());
    int datapoints = 100;
    RowPageBuilder builder = RowPageBuilder.rowPageBuilder(BigintType.BIGINT, mapType, VarcharType.VARCHAR);
    Random rand = new Random(0);
    for (int i = 0; i < datapoints; i++) {
        long label = rand.nextDouble() < 0.5 ? 0 : 1;
        builder.row(label, mapSliceOf(BigintType.BIGINT, DoubleType.DOUBLE, 0, label + rand.nextGaussian()), "C=1");
    }

    return builder.build();
}