org.apache.flink.connector.base.source.reader.fetcher

类 SplitFetcher<E,SplitT extends org.apache.flink.api.connector.source.SourceSplit>

java.lang.Object

org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher<E,SplitT>

所有已实现的接口:

Runnable

@Internal
public class SplitFetcher<E,SplitT extends org.apache.flink.api.connector.source.SourceSplit>
extends Object
implements Runnable

The internal fetcher runnable responsible for polling message from the external system.

方法概要

限定符和类型	方法和说明
void	addSplits(List<SplitT> splitsToAdd) Add splits to the split fetcher.
void	enqueueTask(SplitFetcherTask task)
int	fetcherId()
SplitReader<E,SplitT>	getSplitReader()
void	pause()
void	pauseOrResumeSplits(Collection<SplitT> splitsToPause, Collection<SplitT> splitsToResume) Called when some splits of this source instance progressed too much beyond the global watermark of all subtasks.
void	resume()
void	run()
void	shutdown() Shutdown the split fetcher.

从类继承的方法 java.lang.Object

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

方法详细资料

run

public void run()

指定者:

run 在接口中 Runnable

addSplits

public void addSplits(List<SplitT> splitsToAdd)

Add splits to the split fetcher. This operation is asynchronous.

参数:

splitsToAdd - the splits to add.

pauseOrResumeSplits

public void pauseOrResumeSplits(Collection<SplitT> splitsToPause,
                                Collection<SplitT> splitsToResume)

Called when some splits of this source instance progressed too much beyond the global watermark of all subtasks. If the split reader implements SplitReader, it will relay the information asynchronously through the split fetcher thread.

参数:

splitsToPause - the splits to pause

splitsToResume - the splits to resume

enqueueTask

public void enqueueTask(SplitFetcherTask task)

getSplitReader

public SplitReader<E,SplitT> getSplitReader()

fetcherId

public int fetcherId()

shutdown

public void shutdown()

Shutdown the split fetcher.

pause

public void pause()

resume

public void resume()