| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
DataTypes.ARRAY(DataType elementDataType)
Data type of an array of elements with same subtype.
|
static DataType |
DataTypes.BIGINT()
Data type of an 8-byte signed integer with values from -9,223,372,036,854,775,808 to
9,223,372,036,854,775,807.
|
static DataType |
DataTypes.BINARY(int n)
Data type of a fixed-length binary string (=a sequence of bytes)
BINARY(n) where
n is the number of bytes. |
static DataType |
DataTypes.BOOLEAN()
Data type of a boolean with a (possibly) three-valued logic of
TRUE, FALSE, UNKNOWN. |
static DataType |
DataTypes.BYTES()
Data type of a variable-length binary string (=a sequence of bytes) with defined maximum
length.
|
static DataType |
DataTypes.CHAR(int n)
Data type of a fixed-length character string
CHAR(n) where n is the number of
code points. |
static DataType |
DataTypes.DATE()
Data type of a date consisting of
year-month-day with values ranging from 0000-01-01 to 9999-12-31. |
static DataType |
DataTypes.DECIMAL(int precision,
int scale)
Data type of a decimal number with fixed precision and scale
DECIMAL(p, s) where
p is the number of digits in a number (=precision) and s is the number of
digits to the right of the decimal point in a number (=scale). |
static DataType |
DataTypes.DOUBLE()
Data type of an 8-byte double precision floating point number.
|
static DataType |
DataTypes.FLOAT()
Data type of a 4-byte single precision floating point number.
|
DataType |
DataTypes.Field.getDataType() |
DataType[] |
TableSchema.getFieldDataTypes()
Returns all field data types as an array.
|
DataType |
TableColumn.getType()
Returns the data type of this column.
|
DataType |
WatermarkSpec.getWatermarkExprOutputType()
Returns the data type of the computation result of watermark generation expression.
|
static DataType |
DataTypes.INT()
Data type of a 4-byte signed integer with values from -2,147,483,648 to 2,147,483,647.
|
static DataType |
DataTypes.INTERVAL(DataTypes.Resolution resolution)
Data type of a temporal interval.
|
static DataType |
DataTypes.INTERVAL(DataTypes.Resolution upperResolution,
DataTypes.Resolution lowerResolution)
Data type of a temporal interval.
|
static DataType |
DataTypes.MAP(DataType keyDataType,
DataType valueDataType)
Data type of an associative array that maps keys (including
NULL) to values
(including NULL). |
static DataType |
DataTypes.MULTISET(DataType elementDataType)
Data type of a multiset (=bag).
|
static DataType |
DataTypes.NULL()
Data type for representing untyped
NULL values. |
static <T> DataType |
DataTypes.RAW(Class<T> clazz,
org.apache.flink.api.common.typeutils.TypeSerializer<T> serializer)
Data type of an arbitrary serialized type.
|
static <T> DataType |
DataTypes.RAW(org.apache.flink.api.common.typeinfo.TypeInformation<T> typeInformation)
Data type of an arbitrary serialized type backed by
TypeInformation. |
static DataType |
DataTypes.ROW()
Data type of a row type with no fields.
|
static DataType |
DataTypes.ROW(DataTypes.Field... fields)
Data type of a sequence of fields.
|
static DataType |
DataTypes.SMALLINT()
Data type of a 2-byte signed integer with values from -32,768 to 32,767.
|
static DataType |
DataTypes.STRING()
Data type of a variable-length character string with defined maximum length.
|
static <T> DataType |
DataTypes.STRUCTURED(Class<T> implementationClass,
DataTypes.Field... fields)
Data type of a user-defined object structured type.
|
static DataType |
DataTypes.TIME()
Data type of a time WITHOUT time zone
TIME with no fractional seconds by default. |
static DataType |
DataTypes.TIME(int precision)
Data type of a time WITHOUT time zone
TIME(p) where p is the number of digits
of fractional seconds (=precision). |
static DataType |
DataTypes.TIMESTAMP_WITH_LOCAL_TIME_ZONE()
Data type of a timestamp WITH LOCAL time zone
TIMESTAMP WITH LOCAL TIME ZONE with 6
digits of fractional seconds by default. |
static DataType |
DataTypes.TIMESTAMP_WITH_LOCAL_TIME_ZONE(int precision)
Data type of a timestamp WITH LOCAL time zone
TIMESTAMP(p) WITH LOCAL TIME ZONE where
p is the number of digits of fractional seconds (=precision). |
static DataType |
DataTypes.TIMESTAMP_WITH_TIME_ZONE()
Data type of a timestamp WITH time zone
TIMESTAMP WITH TIME ZONE with 6 digits of
fractional seconds by default. |
static DataType |
DataTypes.TIMESTAMP_WITH_TIME_ZONE(int precision)
Data type of a timestamp WITH time zone
TIMESTAMP(p) WITH TIME ZONE where p
is the number of digits of fractional seconds (=precision). |
static DataType |
DataTypes.TIMESTAMP()
Data type of a timestamp WITHOUT time zone
TIMESTAMP with 6 digits of fractional
seconds by default. |
static DataType |
DataTypes.TIMESTAMP(int precision)
Data type of a timestamp WITHOUT time zone
TIMESTAMP(p) where p is the number
of digits of fractional seconds (=precision). |
static DataType |
DataTypes.TINYINT()
Data type of a 1-byte signed integer with values from -128 to 127.
|
DataType |
TableSchema.toPersistedRowDataType()
Converts all persisted columns of this schema into a (possibly nested) row data type.
|
DataType |
TableSchema.toPhysicalRowDataType()
Converts all physical columns of this schema into a (possibly nested) row data type.
|
DataType |
TableSchema.toRowDataType()
Converts all columns of this schema into a (possibly nested) row data type.
|
static DataType |
DataTypes.VARBINARY(int n)
Data type of a variable-length binary string (=a sequence of bytes)
VARBINARY(n)
where n is the maximum number of bytes. |
static DataType |
DataTypes.VARCHAR(int n)
Data type of a variable-length character string
VARCHAR(n) where n is the
maximum number of code points. |
| 限定符和类型 | 方法和说明 |
|---|---|
Optional<DataType> |
TableSchema.getFieldDataType(int fieldIndex)
Returns the specified data type for the given field index.
|
Optional<DataType> |
TableSchema.getFieldDataType(String fieldName)
Returns the specified data type for the given field name.
|
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
DataTypes.ARRAY(DataType elementDataType)
Data type of an array of elements with same subtype.
|
static TableColumn.ComputedColumn |
TableColumn.computed(String name,
DataType type,
String expression)
Creates a computed column that is computed from the given SQL expression.
|
TableSchema.Builder |
TableSchema.Builder.field(String name,
DataType dataType)
Add a field with name and data type.
|
static DataTypes.Field |
DataTypes.FIELD(String name,
DataType dataType)
Field definition with field name and data type.
|
TableSchema.Builder |
TableSchema.Builder.field(String name,
DataType dataType,
String expression)
Add a computed field which is generated by the given expression.
|
static DataTypes.Field |
DataTypes.FIELD(String name,
DataType dataType,
String description)
Field definition with field name, data type, and a description.
|
TableSchema.Builder |
TableSchema.Builder.fields(String[] names,
DataType[] dataTypes)
Add an array of fields with names and data types.
|
static DataType |
DataTypes.MAP(DataType keyDataType,
DataType valueDataType)
Data type of an associative array that maps keys (including
NULL) to values
(including NULL). |
static TableColumn.MetadataColumn |
TableColumn.metadata(String name,
DataType type)
Creates a metadata column from metadata of the given column name.
|
static TableColumn.MetadataColumn |
TableColumn.metadata(String name,
DataType type,
boolean isVirtual)
Creates a metadata column from metadata of the given column name.
|
static TableColumn.MetadataColumn |
TableColumn.metadata(String name,
DataType type,
String metadataAlias)
Creates a metadata column from metadata of the given alias.
|
static TableColumn.MetadataColumn |
TableColumn.metadata(String name,
DataType type,
String metadataAlias,
boolean isVirtual)
Creates a metadata column from metadata of the given column name or from metadata of the
given alias (if not null).
|
static DataType |
DataTypes.MULTISET(DataType elementDataType)
Data type of a multiset (=bag).
|
static TableColumn |
TableColumn.of(String name,
DataType type)
已过时。
Use
TableColumn.physical(String, DataType) instead. |
static TableColumn |
TableColumn.of(String name,
DataType type,
String expression)
已过时。
Use
TableColumn.computed(String, DataType, String) instead. |
static TableColumn.PhysicalColumn |
TableColumn.physical(String name,
DataType type)
Creates a regular table column that represents physical data.
|
TableSchema.Builder |
TableSchema.Builder.watermark(String rowtimeAttribute,
String watermarkExpressionString,
DataType watermarkExprOutputType)
Specifies the previously defined field as an event-time attribute and specifies the
watermark strategy.
|
| 构造器和说明 |
|---|
WatermarkSpec(String rowtimeAttribute,
String watermarkExpressionString,
DataType watermarkExprOutputType) |
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
ListView.newListViewDataType(DataType elementDataType)
|
static DataType |
MapView.newMapViewDataType(DataType keyDataType,
DataType valueDataType)
|
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
ListView.newListViewDataType(DataType elementDataType)
|
static DataType |
MapView.newMapViewDataType(DataType keyDataType,
DataType valueDataType)
|
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
DataTypeFactory.createDataType(AbstractDataType<?> abstractDataType)
Creates a type out of an
AbstractDataType. |
<T> DataType |
DataTypeFactory.createDataType(Class<T> clazz)
Creates a type by analyzing the given class.
|
DataType |
DataTypeFactory.createDataType(String name)
Creates a type by a fully or partially defined name.
|
DataType |
DataTypeFactory.createDataType(UnresolvedIdentifier identifier)
Creates a type by a fully or partially defined identifier.
|
<T> DataType |
DataTypeFactory.createRawDataType(Class<T> clazz)
Creates a RAW type for the given class in cases where no serializer is known and a generic
serializer should be used.
|
| 限定符和类型 | 方法和说明 |
|---|---|
default Map<String,DataType> |
DecodingFormat.listReadableMetadata()
Returns the map of metadata keys and their corresponding data types that can be produced by
this format for reading.
|
default Map<String,DataType> |
EncodingFormat.listWritableMetadata()
Returns the map of metadata keys and their corresponding data types that can be consumed by
this format for writing.
|
| 限定符和类型 | 方法和说明 |
|---|---|
I |
DecodingFormat.createRuntimeDecoder(DynamicTableSource.Context context,
DataType physicalDataType)
Creates runtime decoder implementation that is configured to produce data of the given data
type.
|
I |
EncodingFormat.createRuntimeEncoder(DynamicTableSink.Context context,
DataType physicalDataType)
Creates runtime encoder implementation that is configured to consume data of the given data
type.
|
| 限定符和类型 | 方法和说明 |
|---|---|
DynamicTableSink.DataStructureConverter |
DynamicTableSink.Context.createDataStructureConverter(DataType consumedDataType)
Creates a converter for mapping between Flink's internal data structures and objects
specified by the given
DataType that can be passed into a runtime implementation. |
<T> org.apache.flink.api.common.typeinfo.TypeInformation<T> |
DynamicTableSink.Context.createTypeInformation(DataType consumedDataType)
Creates type information describing the internal data structures of the given
DataType. |
| 限定符和类型 | 方法和说明 |
|---|---|
Map<String,DataType> |
SupportsWritingMetadata.listWritableMetadata()
Returns the map of metadata keys and their corresponding data types that can be consumed by
this table sink for writing.
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
SupportsWritingMetadata.applyWritableMetadata(List<String> metadataKeys,
DataType consumedDataType)
Provides a list of metadata keys that the consumed
RowData will contain as appended
metadata columns which must be persisted. |
| 限定符和类型 | 方法和说明 |
|---|---|
DynamicTableSource.DataStructureConverter |
DynamicTableSource.Context.createDataStructureConverter(DataType producedDataType)
Creates a converter for mapping between objects specified by the given
DataType
and Flink's internal data structures that can be passed into a runtime implementation. |
<T> org.apache.flink.api.common.typeinfo.TypeInformation<T> |
DynamicTableSource.Context.createTypeInformation(DataType producedDataType)
Creates type information describing the internal data structures of the given
DataType. |
| 限定符和类型 | 方法和说明 |
|---|---|
Map<String,DataType> |
SupportsReadingMetadata.listReadableMetadata()
Returns the map of metadata keys and their corresponding data types that can be produced by
this table source for reading.
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
SupportsReadingMetadata.applyReadableMetadata(List<String> metadataKeys,
DataType producedDataType)
Provides a list of metadata keys that the produced
RowData must contain as appended
metadata columns. |
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
DescriptorProperties.getDataType(String key)
Returns the DataType under the given existing key.
|
| 限定符和类型 | 方法和说明 |
|---|---|
Optional<DataType> |
DescriptorProperties.getOptionalDataType(String key)
Returns the DataType under the given key if it exists.
|
| 限定符和类型 | 方法和说明 |
|---|---|
Schema |
Schema.field(String fieldName,
DataType fieldType)
Adds a field with the field name and the data type.
|
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
CallExpression.getOutputDataType() |
DataType |
ValueLiteralExpression.getOutputDataType() |
DataType |
FieldReferenceExpression.getOutputDataType() |
DataType |
ResolvedExpression.getOutputDataType()
Returns the data type of the computation result.
|
DataType |
TypeLiteralExpression.getOutputDataType() |
| 构造器和说明 |
|---|
CallExpression(FunctionDefinition functionDefinition,
List<ResolvedExpression> args,
DataType dataType) |
CallExpression(FunctionIdentifier functionIdentifier,
FunctionDefinition functionDefinition,
List<ResolvedExpression> args,
DataType dataType) |
FieldReferenceExpression(String name,
DataType dataType,
int inputIndex,
int fieldIndex) |
TypeLiteralExpression(DataType dataType) |
ValueLiteralExpression(Object value,
DataType dataType) |
| 限定符和类型 | 方法和说明 |
|---|---|
default DataType[] |
FileSystemFormatFactory.ReaderContext.getFormatFieldTypes()
Get field types without partition keys.
|
| 限定符和类型 | 方法和说明 |
|---|---|
BuiltInFunctionDefinition.Builder |
BuiltInFunctionDefinition.Builder.typedArguments(DataType... argumentTypes) |
| 构造器和说明 |
|---|
PythonAggregateFunction(String name,
byte[] serializedAggregateFunction,
DataType[] inputTypes,
DataType resultType,
DataType accumulatorType,
PythonFunctionKind pythonFunctionKind,
boolean deterministic,
PythonEnv pythonEnv) |
PythonAggregateFunction(String name,
byte[] serializedAggregateFunction,
DataType[] inputTypes,
DataType resultType,
DataType accumulatorType,
PythonFunctionKind pythonFunctionKind,
boolean deterministic,
PythonEnv pythonEnv) |
| 限定符和类型 | 方法和说明 |
|---|---|
default DataType |
TableSink.getConsumedDataType()
已过时。
Returns the data type consumed by this
TableSink. |
| 限定符和类型 | 方法和说明 |
|---|---|
default DataType |
TableSource.getProducedDataType()
已过时。
Returns the
DataType for the produced data of the TableSource. |
| 限定符和类型 | 方法和说明 |
|---|---|
static ResolvedFieldReference[] |
TimestampExtractorUtils.getAccessedFields(TimestampExtractor timestampExtractor,
DataType physicalInputType,
java.util.function.Function<String,String> nameRemapping)
Retrieves all field accesses needed for the given
TimestampExtractor. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
AtomicDataType
A data type that does not contain further data types (e.g.
|
class |
CollectionDataType
A data type that contains an element type (e.g.
|
class |
FieldsDataType
A data type that contains field data types (i.e. row, structured, and distinct types).
|
class |
KeyValueDataType
A data type that contains a key and value data type (e.g.
|
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
AtomicDataType.bridgedTo(Class<?> newConversionClass) |
DataType |
FieldsDataType.bridgedTo(Class<?> newConversionClass) |
DataType |
KeyValueDataType.bridgedTo(Class<?> newConversionClass) |
DataType |
CollectionDataType.bridgedTo(Class<?> newConversionClass) |
DataType |
DataTypeQueryable.getDataType() |
DataType |
CollectionDataType.getElementDataType() |
DataType |
KeyValueDataType.getKeyDataType() |
DataType |
KeyValueDataType.getValueDataType() |
DataType |
AtomicDataType.notNull() |
DataType |
FieldsDataType.notNull() |
DataType |
KeyValueDataType.notNull() |
DataType |
CollectionDataType.notNull() |
DataType |
AtomicDataType.nullable() |
DataType |
FieldsDataType.nullable() |
DataType |
KeyValueDataType.nullable() |
DataType |
CollectionDataType.nullable() |
DataType |
UnresolvedDataType.toDataType(DataTypeFactory factory)
Converts this instance to a resolved
DataType possibly enriched with additional
nullability and conversion class information. |
| 限定符和类型 | 方法和说明 |
|---|---|
List<DataType> |
AtomicDataType.getChildren() |
List<DataType> |
FieldsDataType.getChildren() |
List<DataType> |
KeyValueDataType.getChildren() |
abstract List<DataType> |
DataType.getChildren() |
List<DataType> |
CollectionDataType.getChildren() |
| 构造器和说明 |
|---|
CollectionDataType(LogicalType logicalType,
Class<?> conversionClass,
DataType elementDataType) |
CollectionDataType(LogicalType logicalType,
DataType elementDataType) |
KeyValueDataType(LogicalType logicalType,
Class<?> conversionClass,
DataType keyDataType,
DataType valueDataType) |
KeyValueDataType(LogicalType logicalType,
DataType keyDataType,
DataType valueDataType) |
| 构造器和说明 |
|---|
FieldsDataType(LogicalType logicalType,
Class<?> conversionClass,
List<DataType> fieldDataTypes) |
FieldsDataType(LogicalType logicalType,
List<DataType> fieldDataTypes) |
UnresolvedDataType(java.util.function.Supplier<String> description,
java.util.function.Function<DataTypeFactory,DataType> resolutionFactory) |
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
DataTypeExtractor.extractFromGeneric(DataTypeFactory typeFactory,
Class<?> baseClass,
int genericPos,
Type contextType)
Extracts a data type from a type variable at
genericPos of baseClass using
the information of the most specific type contextType. |
static DataType |
DataTypeExtractor.extractFromMethodOutput(DataTypeFactory typeFactory,
Class<?> baseClass,
Method method)
Extracts a data type from a method return type by considering surrounding classes and method
annotation.
|
static DataType |
DataTypeExtractor.extractFromMethodParameter(DataTypeFactory typeFactory,
Class<?> baseClass,
Method method,
int paramPos)
Extracts a data type from a method parameter by considering surrounding classes and parameter
annotation.
|
static DataType |
DataTypeExtractor.extractFromType(DataTypeFactory typeFactory,
org.apache.flink.table.types.extraction.DataTypeTemplate template,
Type type)
Extracts a data type from a type without considering surrounding classes but templates.
|
static DataType |
DataTypeExtractor.extractFromType(DataTypeFactory typeFactory,
Type type)
Extracts a data type from a type without considering surrounding classes or templates.
|
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
TypeInferenceUtil.Result.getOutputDataType() |
static DataType |
TypeInferenceUtil.inferOutputType(CallContext callContext,
TypeStrategy outputTypeStrategy)
Infers an output type using the given
TypeStrategy. |
DataType |
TypeTransformation.transform(DataType typeToTransform)
Transforms the given data type to a different data type.
|
| 限定符和类型 | 方法和说明 |
|---|---|
Optional<DataType> |
TypeInferenceUtil.Result.getAccumulatorDataType() |
List<DataType> |
CallContext.getArgumentDataTypes()
Returns a resolved list of the call's argument types.
|
List<DataType> |
TypeInferenceUtil.Result.getExpectedArgumentTypes() |
Optional<DataType> |
CallContext.getOutputDataType()
Returns the inferred output data type of the function call.
|
Optional<List<DataType>> |
TypeInference.getTypedArguments() |
Optional<DataType> |
ArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure)
Main logic for inferring and validating an argument.
|
Optional<List<DataType>> |
InputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure)
Main logic for inferring and validating the input arguments.
|
Optional<DataType> |
TypeStrategy.inferType(CallContext callContext)
Infers a type from the given function call.
|
| 限定符和类型 | 方法和说明 |
|---|---|
static CallContext |
TypeInferenceUtil.adaptArguments(TypeInference typeInference,
CallContext callContext,
DataType outputType)
Adapts the call's argument if necessary.
|
static ExplicitArgumentTypeStrategy |
InputTypeStrategies.explicit(DataType expectedDataType)
Strategy for an argument that corresponds to an explicitly defined type casting.
|
static TypeStrategy |
TypeStrategies.explicit(DataType dataType)
Type strategy that returns a fixed
DataType. |
static InputTypeStrategy |
InputTypeStrategies.explicitSequence(DataType... expectedDataTypes)
Strategy for a function signature of explicitly defined types like
f(STRING, INT). |
static InputTypeStrategy |
InputTypeStrategies.explicitSequence(String[] argumentNames,
DataType[] expectedDataTypes)
Strategy for a named function signature of explicitly defined types like
f(s STRING, i
INT). |
DataType |
TypeTransformation.transform(DataType typeToTransform)
Transforms the given data type to a different data type.
|
TypeInference.Builder |
TypeInference.Builder.typedArguments(DataType... argumentTypes) |
| 限定符和类型 | 方法和说明 |
|---|---|
static ConstraintArgumentTypeStrategy |
InputTypeStrategies.constraint(String constraintMessage,
java.util.function.Function<List<DataType>,Boolean> evaluator)
Strategy for an argument that must fulfill a given constraint.
|
TypeInference.Builder |
TypeInference.Builder.typedArguments(List<DataType> argumentTypes)
Sets the list of argument types for specifying a fixed, not overloaded, not vararg input
signature explicitly.
|
| 构造器和说明 |
|---|
Result(List<DataType> expectedArgumentTypes,
DataType accumulatorDataType,
DataType outputDataType) |
| 构造器和说明 |
|---|
Result(List<DataType> expectedArgumentTypes,
DataType accumulatorDataType,
DataType outputDataType) |
| 限定符和类型 | 方法和说明 |
|---|---|
Optional<DataType> |
FamilyArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
AndArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
RootArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
OutputArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
LiteralArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
ConstraintArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
OrArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
ExplicitArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
CompositeArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<DataType> |
AnyArgumentTypeStrategy.inferArgumentType(CallContext callContext,
int argumentPos,
boolean throwOnFailure) |
Optional<List<DataType>> |
MapInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
CastInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
OrInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
SequenceInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
CommonInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
VaryingSequenceInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
SubsequenceInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
ComparableTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<List<DataType>> |
WildcardInputTypeStrategy.inferInputTypes(CallContext callContext,
boolean throwOnFailure) |
Optional<DataType> |
ExplicitTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
MappingTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
MissingTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
UseArgumentTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
CommonTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
NullableTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
VaryingStringTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
MatchFamilyTypeStrategy.inferType(CallContext callContext) |
Optional<DataType> |
FirstTypeStrategy.inferType(CallContext callContext) |
| 构造器和说明 |
|---|
ExplicitArgumentTypeStrategy(DataType expectedDataType) |
ExplicitTypeStrategy(DataType explicitDataType) |
| 构造器和说明 |
|---|
ConstraintArgumentTypeStrategy(String constraintMessage,
java.util.function.Function<List<DataType>,Boolean> evaluator) |
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
LegacyRawTypeTransformation.transform(DataType typeToTransform) |
DataType |
DataTypeConversionClassTransformation.transform(DataType dataType) |
DataType |
LegacyDecimalTypeTransformation.transform(DataType typeToTransform) |
| 限定符和类型 | 方法和说明 |
|---|---|
DataType |
LegacyRawTypeTransformation.transform(DataType typeToTransform) |
DataType |
DataTypeConversionClassTransformation.transform(DataType dataType) |
DataType |
LegacyDecimalTypeTransformation.transform(DataType typeToTransform) |
| 限定符和类型 | 方法和说明 |
|---|---|
List<DataType> |
UnknownCallContext.getArgumentDataTypes() |
List<DataType> |
AdaptedCallContext.getArgumentDataTypes() |
Optional<DataType> |
UnknownCallContext.getOutputDataType() |
Optional<DataType> |
AdaptedCallContext.getOutputDataType() |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
AdaptedCallContext.setExpectedArguments(List<DataType> expectedArguments) |
| 构造器和说明 |
|---|
AdaptedCallContext(CallContext originalContext,
DataType outputDataType) |
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
DataTypeUtils.appendRowFields(DataType dataType,
List<DataTypes.Field> fields)
Appends the given list of fields to an existing row data type.
|
static DataType |
TypeConversions.fromLegacyInfoToDataType(org.apache.flink.api.common.typeinfo.TypeInformation<?> typeInfo) |
static DataType[] |
TypeConversions.fromLegacyInfoToDataType(org.apache.flink.api.common.typeinfo.TypeInformation<?>[] typeInfo) |
static DataType |
TypeConversions.fromLogicalToDataType(LogicalType logicalType) |
static DataType[] |
TypeConversions.fromLogicalToDataType(LogicalType[] logicalTypes) |
static DataType |
DataTypeUtils.projectRow(DataType dataType,
int[] indices)
Projects a (possibly nested) row data type by returning a new data type that only includes
fields of the given indices.
|
static DataType |
DataTypeUtils.projectRow(DataType dataType,
int[][] indexPaths)
Projects a (possibly nested) row data type by returning a new data type that only includes
fields of the given index paths.
|
static DataType |
DataTypeUtils.replaceLogicalType(DataType dataType,
LogicalType replacement)
Replaces the
LogicalType of a DataType, i.e., it keeps the bridging class. |
static DataType |
DataTypeUtils.stripRowPrefix(DataType dataType,
String prefix)
Removes a string prefix from the fields of the given row data type.
|
static DataType |
LogicalTypeDataTypeConverter.toDataType(LogicalType logicalType)
Returns the data type of a logical type without explicit conversions.
|
static DataType |
LegacyTypeInfoDataTypeConverter.toDataType(org.apache.flink.api.common.typeinfo.TypeInformation<?> typeInfo) |
static DataType |
DataTypeUtils.toInternalDataType(LogicalType logicalType)
Creates a
DataType from the given LogicalType with internal data structures. |
static DataType |
DataTypeUtils.transform(DataType typeToTransform,
TypeTransformation... transformations)
Transforms the given data type to a different data type using the given transformations.
|
| 限定符和类型 | 方法和说明 |
|---|---|
static Optional<DataType> |
ClassDataTypeConverter.extractDataType(Class<?> clazz)
Returns the clearly identifiable data type if possible.
|
static Optional<DataType> |
ValueDataTypeConverter.extractDataType(Object value)
Returns the clearly identifiable data type if possible.
|
static List<DataType> |
DataTypeUtils.flattenToDataTypes(DataType dataType)
Returns the data types of the flat representation in the first level of the given data type.
|
static Optional<DataType> |
TypeConversions.fromClassToDataType(Class<?> clazz) |
static Optional<DataType> |
DataTypeUtils.getField(DataType compositeType,
int index)
Retrieves a nested field from a composite type at given position.
|
static Optional<DataType> |
DataTypeUtils.getField(DataType compositeType,
String name)
Retrieves a nested field from a composite type with given name.
|
| 限定符和类型 | 方法和说明 |
|---|---|
static DataType |
DataTypeUtils.appendRowFields(DataType dataType,
List<DataTypes.Field> fields)
Appends the given list of fields to an existing row data type.
|
protected abstract R |
DataTypeDefaultVisitor.defaultMethod(DataType dataType) |
static TableSchema |
DataTypeUtils.expandCompositeTypeToSchema(DataType dataType)
Expands a composite
DataType to a corresponding TableSchema. |
static List<DataType> |
DataTypeUtils.flattenToDataTypes(DataType dataType)
Returns the data types of the flat representation in the first level of the given data type.
|
static List<String> |
DataTypeUtils.flattenToNames(DataType dataType)
Returns the names of the flat representation in the first level of the given data type.
|
static List<String> |
DataTypeUtils.flattenToNames(DataType dataType,
List<String> existingNames)
Returns the names of the flat representation in the first level of the given data type.
|
static LogicalType |
TypeConversions.fromDataToLogicalType(DataType dataType) |
static LogicalType[] |
TypeConversions.fromDataToLogicalType(DataType[] dataTypes) |
static org.apache.flink.api.common.typeinfo.TypeInformation<?> |
TypeConversions.fromDataTypeToLegacyInfo(DataType dataType) |
static org.apache.flink.api.common.typeinfo.TypeInformation<?>[] |
TypeConversions.fromDataTypeToLegacyInfo(DataType[] dataType) |
static Optional<DataType> |
DataTypeUtils.getField(DataType compositeType,
int index)
Retrieves a nested field from a composite type at given position.
|
static Optional<DataType> |
DataTypeUtils.getField(DataType compositeType,
String name)
Retrieves a nested field from a composite type with given name.
|
static boolean |
DataTypeUtils.isInternal(DataType dataType)
Checks whether a given data type is an internal data structure.
|
static DataType |
DataTypeUtils.projectRow(DataType dataType,
int[] indices)
Projects a (possibly nested) row data type by returning a new data type that only includes
fields of the given indices.
|
static DataType |
DataTypeUtils.projectRow(DataType dataType,
int[][] indexPaths)
Projects a (possibly nested) row data type by returning a new data type that only includes
fields of the given index paths.
|
static DataType |
DataTypeUtils.replaceLogicalType(DataType dataType,
LogicalType replacement)
Replaces the
LogicalType of a DataType, i.e., it keeps the bridging class. |
static DataType |
DataTypeUtils.stripRowPrefix(DataType dataType,
String prefix)
Removes a string prefix from the fields of the given row data type.
|
static org.apache.flink.api.common.typeinfo.TypeInformation<?> |
LegacyTypeInfoDataTypeConverter.toLegacyTypeInfo(DataType dataType) |
static LogicalType |
LogicalTypeDataTypeConverter.toLogicalType(DataType dataType)
Returns the logical type of a data type.
|
static DataType |
DataTypeUtils.transform(DataType typeToTransform,
TypeTransformation... transformations)
Transforms the given data type to a different data type using the given transformations.
|
static void |
DataTypeUtils.validateInputDataType(DataType dataType)
The
DataType class can only partially verify the conversion class. |
static void |
DataTypeUtils.validateOutputDataType(DataType dataType)
The
DataType class can only partially verify the conversion class. |
| 限定符和类型 | 方法和说明 |
|---|---|
static int[] |
TypeMappingUtils.computePhysicalIndices(List<TableColumn> logicalColumns,
DataType physicalType,
java.util.function.Function<String,String> nameRemapping)
Computes indices of physical fields corresponding to the selected logical fields of a
TableSchema. |
static Object |
PartitionPathUtils.convertStringToInternalValue(String valStr,
DataType type)
Restore partition value from string and type.
|
static GenericRowData |
PartitionPathUtils.fillPartitionValueForRecord(String[] fieldNames,
DataType[] fieldTypes,
int[] selectFields,
List<String> partitionKeys,
org.apache.flink.core.fs.Path path,
String defaultPartValue)
Extract partition value from path and fill to record.
|
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