org.apache.flink.table.connector.source

接口 DynamicTableSource.Context

所有已知子接口:

LookupTableSource.LookupContext, ScanTableSource.ScanContext

封闭接口:

DynamicTableSource

public static interface DynamicTableSource.Context

Base context for creating runtime implementation via a ScanTableSource.ScanRuntimeProvider and LookupTableSource.LookupRuntimeProvider.

It offers utilities by the planner for creating runtime implementation with minimal dependencies to internal data structures.

Methods should be called in ScanTableSource.getScanRuntimeProvider(ScanTableSource.ScanContext) and LookupTableSource.getLookupRuntimeProvider(LookupTableSource.LookupContext). The returned instances are Serializable and can be directly passed into the runtime implementation class.

方法概要

限定符和类型	方法和说明
DynamicTableSource.DataStructureConverter	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>	createTypeInformation(DataType producedDataType) Creates type information describing the internal data structures of the given DataType.

方法详细资料

createTypeInformation

<T> org.apache.flink.api.common.typeinfo.TypeInformation<T> createTypeInformation(DataType producedDataType)

Creates type information describing the internal data structures of the given DataType.

另请参阅:

TableSchema.toPhysicalRowDataType()

createDataStructureConverter

DynamicTableSource.DataStructureConverter 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.

For example, a Row and its fields can be converted into RowData, or a (possibly nested) POJO can be converted into the internal representation for structured types.

另请参阅:

LogicalType.supportsInputConversion(Class), TableSchema.toPhysicalRowDataType()