org.apache.flink.streaming.api.operators.collect

类 CollectStreamSink<T>

java.lang.Object

org.apache.flink.streaming.api.datastream.DataStreamSink<T>

org.apache.flink.streaming.api.operators.collect.CollectStreamSink<T>

@Internal
public class CollectStreamSink<T>
extends DataStreamSink<T>

A DataStreamSink which is used to collect results of a data stream. It completely overwrites DataStreamSink so that its own transformation is manipulated.

构造器概要

构造器

构造器和说明
CollectStreamSink(DataStream<T> inputStream, CollectSinkOperatorFactory<T> factory)

方法概要

限定符和类型	方法和说明
DataStreamSink<T>	disableChaining() Turns off chaining for this operator so thread co-location will not be used as an optimization.
SinkTransformation<T>	getTransformation() Returns the transformation that contains the actual sink operator of this sink.
DataStreamSink<T>	name(String name) Sets the name of this sink.
DataStreamSink<T>	setParallelism(int parallelism) Sets the parallelism for this sink.
DataStreamSink<T>	setUidHash(String uidHash) Sets an user provided hash for this operator.
DataStreamSink<T>	slotSharingGroup(String slotSharingGroup) Sets the slot sharing group of this operation.
DataStreamSink<T>	uid(String uid) Sets an ID for this operator.

从类继承的方法 java.lang.Object

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

构造器详细资料

CollectStreamSink

public CollectStreamSink(DataStream<T> inputStream,
                         CollectSinkOperatorFactory<T> factory)

方法详细资料

getTransformation

public SinkTransformation<T> getTransformation()

从类复制的说明: DataStreamSink

Returns the transformation that contains the actual sink operator of this sink.

覆盖:

getTransformation 在类中 DataStreamSink<T>

name

public DataStreamSink<T> name(String name)

从类复制的说明: DataStreamSink

Sets the name of this sink. This name is used by the visualization and logging during runtime.

覆盖:

name 在类中 DataStreamSink<T>

返回:

The named sink.

uid

public DataStreamSink<T> uid(String uid)

从类复制的说明: DataStreamSink

Sets an ID for this operator.

The specified ID is used to assign the same operator ID across job submissions (for example when starting a job from a savepoint).

Important: this ID needs to be unique per transformation and job. Otherwise, job submission will fail.

覆盖:

uid 在类中 DataStreamSink<T>

参数:

uid - The unique user-specified ID of this transformation.

返回:

The operator with the specified ID.

setUidHash

public DataStreamSink<T> setUidHash(String uidHash)

从类复制的说明: DataStreamSink

Sets an user provided hash for this operator. This will be used AS IS the create the JobVertexID.

The user provided hash is an alternative to the generated hashes, that is considered when identifying an operator through the default hash mechanics fails (e.g. because of changes between Flink versions).

Important: this should be used as a workaround or for trouble shooting. The provided hash needs to be unique per transformation and job. Otherwise, job submission will fail. Furthermore, you cannot assign user-specified hash to intermediate nodes in an operator chain and trying so will let your job fail.

A use case for this is in migration between Flink versions or changing the jobs in a way that changes the automatically generated hashes. In this case, providing the previous hashes directly through this method (e.g. obtained from old logs) can help to reestablish a lost mapping from states to their target operator.

覆盖:

setUidHash 在类中 DataStreamSink<T>

参数:

uidHash - The user provided hash for this operator. This will become the JobVertexID, which is shown in the logs and web ui.

返回:

The operator with the user provided hash.

setParallelism

public DataStreamSink<T> setParallelism(int parallelism)

从类复制的说明: DataStreamSink

Sets the parallelism for this sink. The degree must be higher than zero.

覆盖:

setParallelism 在类中 DataStreamSink<T>

参数:

parallelism - The parallelism for this sink.

返回:

The sink with set parallelism.

disableChaining

public DataStreamSink<T> disableChaining()

从类复制的说明: DataStreamSink

Turns off chaining for this operator so thread co-location will not be used as an optimization.

Chaining can be turned off for the whole job by StreamExecutionEnvironment.disableOperatorChaining() however it is not advised for performance considerations.

覆盖:

disableChaining 在类中 DataStreamSink<T>

返回:

The sink with chaining disabled

slotSharingGroup

public DataStreamSink<T> slotSharingGroup(String slotSharingGroup)

从类复制的说明: DataStreamSink

Sets the slot sharing group of this operation. Parallel instances of operations that are in the same slot sharing group will be co-located in the same TaskManager slot, if possible.

Operations inherit the slot sharing group of input operations if all input operations are in the same slot sharing group and no slot sharing group was explicitly specified.

Initially an operation is in the default slot sharing group. An operation can be put into the default group explicitly by setting the slot sharing group to "default".

覆盖:

slotSharingGroup 在类中 DataStreamSink<T>

参数:

slotSharingGroup - The slot sharing group name.