T
- The type of the elements of the grouped DataSet.@Public public abstract class Grouping<T> extends Object
The following transformation can be applied on Grouping:
DataSet
Modifier and Type | Field and Description |
---|---|
protected org.apache.flink.api.common.functions.Partitioner<?> |
customPartitioner |
protected DataSet<T> |
inputDataSet |
protected org.apache.flink.api.common.operators.Keys<T> |
keys |
Constructor and Description |
---|
Grouping(DataSet<T> set,
org.apache.flink.api.common.operators.Keys<T> keys) |
Modifier and Type | Method and Description |
---|---|
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() |
protected final org.apache.flink.api.common.operators.Keys<T> keys
protected org.apache.flink.api.common.functions.Partitioner<?> customPartitioner
@Internal public DataSet<T> getInputDataSet()
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()
).@Internal public org.apache.flink.api.common.operators.Keys<T> getKeys()
@Internal public org.apache.flink.api.common.functions.Partitioner<?> getCustomPartitioner()
null
, if
none was defined.Copyright © 2014–2019 The Apache Software Foundation. All rights reserved.