I1 - The type of the first input DataSet of the Join transformation.I2 - The type of the second input DataSet of the Join transformation.OUT - The type of the result of the Join transformation.public abstract class JoinOperator<I1,I2,OUT> extends TwoInputUdfOperator<I1,I2,OUT,JoinOperator<I1,I2,OUT>>
DataSet that is the result of a Join transformation.DataSet| Modifier and Type | Class and Description |
|---|---|
static class |
JoinOperator.DefaultFlatJoinFunction<T1,T2> |
static class |
JoinOperator.DefaultJoin<I1,I2>
|
static class |
JoinOperator.EquiJoin<I1,I2,OUT>
A Join transformation that applies a
JoinFunction on each pair of joining elements.It also represents the DataSet that is the result of a Join transformation. |
static class |
JoinOperator.JoinOperatorSets<I1,I2>
Intermediate step of a Join transformation.
|
static class |
JoinOperator.JoinProjection<I1,I2> |
static class |
JoinOperator.ProjectFlatJoinFunction<T1,T2,R extends Tuple> |
static class |
JoinOperator.ProjectJoin<I1,I2,OUT extends Tuple>
|
| Modifier and Type | Field and Description |
|---|---|
protected Keys<I1> |
keys1 |
protected Keys<I2> |
keys2 |
name, parallelism| Modifier | Constructor and Description |
|---|---|
protected |
JoinOperator(DataSet<I1> input1,
DataSet<I2> input2,
Keys<I1> keys1,
Keys<I2> keys2,
org.apache.flink.api.common.typeinfo.TypeInformation<OUT> returnType,
org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint hint) |
| Modifier and Type | Method and Description |
|---|---|
org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint |
getJoinHint()
Gets the JoinHint that describes how the join is executed.
|
protected Keys<I1> |
getKeys1() |
protected Keys<I2> |
getKeys2() |
org.apache.flink.api.common.functions.Partitioner<?> |
getPartitioner()
Gets the custom partitioner used by this join, or
null, if none is set. |
JoinOperator<I1,I2,OUT> |
withPartitioner(org.apache.flink.api.common.functions.Partitioner<?> partitioner)
Sets a custom partitioner for this join.
|
extractSemanticAnnotationsFromUdf, getAnalyzedUdfSemanticsFlag, getBroadcastSets, getFunction, getParameters, getSemanticProperties, returns, returns, returns, setAnalyzedUdfSemanticsFlag, setSemanticProperties, udfWithForwardedFieldsFirstAnnotation, udfWithForwardedFieldsSecondAnnotation, withBroadcastSet, withForwardedFieldsFirst, withForwardedFieldsSecond, withParametersgetInput1, getInput1Type, getInput2, getInput2Type, translateToDataFlowgetName, getParallelism, getResultType, name, setParallelismaggregate, checkSameExecutionContext, clean, coGroup, collect, combineGroup, count, cross, crossWithHuge, crossWithTiny, distinct, distinct, distinct, distinct, fillInType, filter, first, flatMap, getExecutionEnvironment, getType, groupBy, groupBy, groupBy, iterate, iterateDelta, join, join, joinWithHuge, joinWithTiny, map, mapPartition, max, maxBy, min, minBy, output, partitionByHash, partitionByHash, partitionByHash, partitionCustom, partitionCustom, partitionCustom, print, print, printOnTaskManager, printToErr, printToErr, project, rebalance, reduce, reduceGroup, runOperation, sortPartition, sortPartition, sum, union, write, write, writeAsCsv, writeAsCsv, writeAsCsv, writeAsCsv, writeAsFormattedText, writeAsFormattedText, writeAsText, writeAsTextpublic org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint getJoinHint()
public JoinOperator<I1,I2,OUT> withPartitioner(org.apache.flink.api.common.functions.Partitioner<?> partitioner)
NOTE: A custom partitioner can only be used with single-field join keys, not with composite join keys.
partitioner - The custom partitioner to be used.public org.apache.flink.api.common.functions.Partitioner<?> getPartitioner()
null, if none is set.Copyright © 2014–2015 The Apache Software Foundation. All rights reserved.