org.apache.flink.table.examples.java.functions

类 InternalRowMergerFunction

java.lang.Object

org.apache.flink.table.functions.UserDefinedFunction

org.apache.flink.table.functions.ScalarFunction

org.apache.flink.table.examples.java.functions.InternalRowMergerFunction

所有已实现的接口:

Serializable, org.apache.flink.table.functions.FunctionDefinition

public final class InternalRowMergerFunction
extends org.apache.flink.table.functions.ScalarFunction

Merges two rows into a single row with unique field names.

The function uses a custom TypeInference and thus disables any of the default reflection-based logic. It returns internal data structures for both input and output types of the eval method.

For code readability, we might use some internal utility methods that should rarely change. Implementers can copy those if they don't want to rely on non-official API.

另请参阅:

序列化表格

构造器概要

构造器

构造器和说明
InternalRowMergerFunction()

方法概要

限定符和类型	方法和说明
org.apache.flink.table.data.RowData	eval(org.apache.flink.table.data.RowData r1, org.apache.flink.table.data.RowData r2)
org.apache.flink.table.types.inference.TypeInference	getTypeInference(org.apache.flink.table.catalog.DataTypeFactory typeFactory)

从类继承的方法 org.apache.flink.table.functions.ScalarFunction

getKind, getParameterTypes, getResultType

从类继承的方法 org.apache.flink.table.functions.UserDefinedFunction

close, functionIdentifier, open, toString

从类继承的方法 java.lang.Object

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

从接口继承的方法 org.apache.flink.table.functions.FunctionDefinition

getRequirements, isDeterministic

构造器详细资料

InternalRowMergerFunction

public InternalRowMergerFunction()

方法详细资料

getTypeInference

public org.apache.flink.table.types.inference.TypeInference getTypeInference(org.apache.flink.table.catalog.DataTypeFactory typeFactory)

指定者:

getTypeInference 在接口中 org.apache.flink.table.functions.FunctionDefinition

覆盖:

getTypeInference 在类中 org.apache.flink.table.functions.ScalarFunction

eval

public org.apache.flink.table.data.RowData eval(org.apache.flink.table.data.RowData r1,
                                                org.apache.flink.table.data.RowData r2)