org.apache.flink.table.runtime.typeutils

类 PythonTypeUtils

java.lang.Object

org.apache.flink.table.runtime.typeutils.PythonTypeUtils

@Internal
public final class PythonTypeUtils
extends Object

Utilities for converting Flink logical types, such as convert it to the related TypeSerializer or ProtoType.

嵌套类概要

嵌套类

限定符和类型	类和说明
static class	PythonTypeUtils.ArrayDataConverter<T> The element in the Object Array will be converted to the corresponding Data through element DataConverter.
static class	PythonTypeUtils.ByteDataConverter Python Long will be converted to Long in PemJa, so we need ByteDataConverter to convert Java Long to internal Byte.
static class	PythonTypeUtils.DataConverter<IN,INTER,OUT> Data Converter that converts the data to the java format data which can be used in PemJa.
static class	PythonTypeUtils.FloatDataConverter Python Float will be converted to Double in PemJa, so we need FloatDataConverter to convert Java Double to internal Float.
static class	PythonTypeUtils.IdentityDataConverter<IN,OUT> Identity data converter.
static class	PythonTypeUtils.IntDataConverter Python Long will be converted to Long in PemJa, so we need IntDataConverter to convert Java Long to internal Integer.
static class	PythonTypeUtils.LogicalTypeToProtoTypeConverter Converter That convert the logicalType to the related Prototype.
static class	PythonTypeUtils.MapDataConverter The key/value in the Map will be converted to the corresponding Data through key/value DataConverter.
static class	PythonTypeUtils.RowDataConverter RowData will be converted to the Object Array [RowKind(as Long Object), Field Values(as Object Array)].
static class	PythonTypeUtils.ShortDataConverter Python Long will be converted to Long in PemJa, so we need ShortDataConverter to convert Java Long to internal Short.
static class	PythonTypeUtils.TimeDataConverter Python datetime.time will be converted to Time in PemJa, so we need TimeDataConverter to convert Java Double to internal Integer.

构造器概要

构造器

构造器和说明
PythonTypeUtils()

方法概要

限定符和类型	方法和说明
static BigDecimal	fromBigDecimal(BigDecimal bigDecimal, int precision, int scale) Convert the specified bigDecimal according to the specified precision and scale.
static PythonTypeUtils.DataConverter	toDataConverter(org.apache.flink.table.types.logical.LogicalType logicalType)
static org.apache.flink.api.common.typeutils.TypeSerializer	toInternalSerializer(org.apache.flink.table.types.logical.LogicalType logicalType)
static FlinkFnApi.Schema.FieldType	toProtoType(org.apache.flink.table.types.logical.LogicalType logicalType)

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

PythonTypeUtils

public PythonTypeUtils()

方法详细资料

toProtoType

public static FlinkFnApi.Schema.FieldType toProtoType(org.apache.flink.table.types.logical.LogicalType logicalType)

toInternalSerializer

public static org.apache.flink.api.common.typeutils.TypeSerializer toInternalSerializer(org.apache.flink.table.types.logical.LogicalType logicalType)

toDataConverter

public static PythonTypeUtils.DataConverter toDataConverter(org.apache.flink.table.types.logical.LogicalType logicalType)

fromBigDecimal

public static BigDecimal fromBigDecimal(BigDecimal bigDecimal,
                                        int precision,
                                        int scale)

Convert the specified bigDecimal according to the specified precision and scale. The specified bigDecimal may be rounded to have the specified scale and then the specified precision is checked. If precision overflow, it will return `null`.

Note: The implementation refers to DecimalData.fromBigDecimal(java.math.BigDecimal, int, int).