org.apache.flink.api.java.operators

类 Grouping<T>

java.lang.Object

org.apache.flink.api.java.operators.Grouping<T>

类型参数:

T - The type of the elements of the grouped DataSet.

直接已知子类:

SortedGrouping, UnsortedGrouping

@Public
public abstract class Grouping<T>
extends Object

Grouping is an intermediate step for a transformation on a grouped DataSet.

The following transformation can be applied on Grouping:

• UnsortedGrouping.reduce(org.apache.flink.api.common.functions.ReduceFunction),
• UnsortedGrouping.reduceGroup(org.apache.flink.api.common.functions.GroupReduceFunction), and
• UnsortedGrouping.aggregate(org.apache.flink.api.java.aggregation.Aggregations, int).

另请参阅:

DataSet

字段概要

字段

限定符和类型	字段和说明
protected org.apache.flink.api.common.functions.Partitioner<?>	customPartitioner
protected DataSet<T>	inputDataSet
protected org.apache.flink.api.common.operators.Keys<T>	keys

构造器概要

构造器

构造器和说明
Grouping(DataSet<T> set, org.apache.flink.api.common.operators.Keys<T> keys)

方法概要

限定符和类型	方法和说明
org.apache.flink.api.common.functions.Partitioner<?>	getCustomPartitioner() Gets the custom partitioner to be used for this grouping, or null, if none was defined.
DataSet<T>	getInputDataSet() Returns the input DataSet of a grouping operation, that is the one before the grouping.
org.apache.flink.api.common.operators.Keys<T>	getKeys()

从类继承的方法 java.lang.Object

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

字段详细资料

inputDataSet

protected final DataSet<T> inputDataSet

keys

protected final org.apache.flink.api.common.operators.Keys<T> keys

customPartitioner

protected org.apache.flink.api.common.functions.Partitioner<?> customPartitioner

构造器详细资料

Grouping

public Grouping(DataSet<T> set,
                org.apache.flink.api.common.operators.Keys<T> keys)

方法详细资料

getInputDataSet

@Internal
public DataSet<T> getInputDataSet()

Returns the input DataSet of a grouping operation, that is the one before the grouping. This means that if it is applied directly to the result of a grouping operation, it will cancel its effect. As an example, in the following snippet:

 DataSet<X> notGrouped = input.groupBy().getDataSet();
 DataSet<Y> allReduced = notGrouped.reduce()
 

the groupBy() is as if it never happened, as the notGrouped DataSet corresponds to the input of the groupBy() (because of the getDataset()).

getKeys

@Internal
public org.apache.flink.api.common.operators.Keys<T> getKeys()

getCustomPartitioner

@Internal
public org.apache.flink.api.common.functions.Partitioner<?> getCustomPartitioner()

Gets the custom partitioner to be used for this grouping, or null, if none was defined.

返回:

The custom partitioner to be used for this grouping.