org.apache.flink.streaming.api.operators

类 AbstractStreamOperatorV2<OUT>

java.lang.Object

org.apache.flink.streaming.api.operators.AbstractStreamOperatorV2<OUT>

类型参数:

OUT - The output type of the operator

所有已实现的接口:

Serializable, org.apache.flink.api.common.state.CheckpointListener, KeyContext, StreamOperator<OUT>, StreamOperatorStateHandler.CheckpointedStreamOperator

@Experimental
public abstract class AbstractStreamOperatorV2<OUT>
extends Object
implements StreamOperator<OUT>, StreamOperatorStateHandler.CheckpointedStreamOperator

New base class for all stream operators, intended to eventually replace AbstractStreamOperator. Currently intended to work smoothly just with MultipleInputStreamOperator.

One note-able difference in comparison to AbstractStreamOperator is lack of AbstractStreamOperator.setup(StreamTask, StreamConfig, Output) in favor of initialisation in the constructor, and removed some tight coupling with classes like StreamTask.

Methods are guaranteed not to be called concurrently.

另请参阅:

序列化表格

字段概要

字段

限定符和类型	字段和说明
protected StreamConfig	config
protected LatencyStats	latencyStats
protected static org.slf4j.Logger	LOG The logger used by the operator class and its subclasses.
protected org.apache.flink.runtime.metrics.groups.InternalOperatorMetricGroup	metrics Metric group for the operator.
protected Output<StreamRecord<OUT>>	output
protected ProcessingTimeService	processingTimeService

构造器概要

构造器

构造器和说明
AbstractStreamOperatorV2(StreamOperatorParameters<OUT> parameters, int numberOfInputs)

方法概要

限定符和类型	方法和说明
void	close() This method is called at the very end of the operator's life, both in the case of a successful completion of the operation, and in the case of a failure and canceling.
void	finish() This method is called at the end of data processing.
Object	getCurrentKey()
org.apache.flink.api.common.ExecutionConfig	getExecutionConfig() Gets the execution config defined on the execution environment of the job to which this operator belongs.
<K,N> InternalTimerService<N>	getInternalTimerService(String name, org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer, Triggerable<K,N> triggerable) Returns a InternalTimerService that can be used to query current processing time and event time and to set timers.
<K> org.apache.flink.runtime.state.KeyedStateBackend<K>	getKeyedStateBackend()
Optional<org.apache.flink.api.common.state.KeyedStateStore>	getKeyedStateStore()
org.apache.flink.metrics.groups.OperatorMetricGroup	getMetricGroup()
StreamConfig	getOperatorConfig()
org.apache.flink.runtime.jobgraph.OperatorID	getOperatorID()
protected String	getOperatorName() Return the operator name.
org.apache.flink.runtime.state.OperatorStateBackend	getOperatorStateBackend()
protected <N,S extends org.apache.flink.api.common.state.State,T> S	getOrCreateKeyedState(org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer, org.apache.flink.api.common.state.StateDescriptor<S,T> stateDescriptor)
protected <S extends org.apache.flink.api.common.state.State,N> S	getPartitionedState(N namespace, org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer, org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor) Creates a partitioned state handle, using the state backend configured for this task.
protected <S extends org.apache.flink.api.common.state.State> S	getPartitionedState(org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor) Creates a partitioned state handle, using the state backend configured for this task.
ProcessingTimeService	getProcessingTimeService() Returns the ProcessingTimeService responsible for getting the current processing time and registering timers.
StreamingRuntimeContext	getRuntimeContext() Returns a context that allows the operator to query information about the execution and also to interact with systems such as broadcast variables and managed state.
protected Optional<InternalTimeServiceManager<?>>	getTimeServiceManager()
ClassLoader	getUserCodeClassloader()
void	initializeState(org.apache.flink.runtime.state.StateInitializationContext context) Stream operators with state which can be restored need to override this hook method.
void	initializeState(StreamTaskStateInitializer streamTaskStateManager) Provides a context to initialize all state in the operator.
protected <T> void	internalSetKeyContextElement(StreamRecord<T> record, org.apache.flink.api.java.functions.KeySelector<T,?> selector)
protected boolean	isUsingCustomRawKeyedState() Indicates whether or not implementations of this class is writing to the raw keyed state streams on snapshots, using snapshotState(StateSnapshotContext).
void	notifyCheckpointAborted(long checkpointId)
void	notifyCheckpointComplete(long checkpointId)
void	open() This method is called immediately before any elements are processed, it should contain the operator's initialization logic, e.g. state initialization.
void	prepareSnapshotPreBarrier(long checkpointId) This method is called when the operator should do a snapshot, before it emits its own checkpoint barrier.
void	processWatermark(Watermark mark)
void	processWatermarkStatus(WatermarkStatus watermarkStatus, int inputId)
protected void	reportOrForwardLatencyMarker(LatencyMarker marker)
protected void	reportWatermark(Watermark mark, int inputId)
void	setCurrentKey(Object key)
void	setKeyContextElement1(StreamRecord<?> record)
void	setKeyContextElement2(StreamRecord<?> record)
OperatorSnapshotFutures	snapshotState(long checkpointId, long timestamp, org.apache.flink.runtime.checkpoint.CheckpointOptions checkpointOptions, org.apache.flink.runtime.state.CheckpointStreamFactory factory) Called to draw a state snapshot from the operator.
void	snapshotState(org.apache.flink.runtime.state.StateSnapshotContext context) Stream operators with state, which want to participate in a snapshot need to override this hook method.

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

LOG

protected static final org.slf4j.Logger LOG

The logger used by the operator class and its subclasses.

config

protected final StreamConfig config

output

protected final Output<StreamRecord<OUT>> output

metrics

protected final org.apache.flink.runtime.metrics.groups.InternalOperatorMetricGroup metrics

Metric group for the operator.

latencyStats

protected final LatencyStats latencyStats

processingTimeService

protected final ProcessingTimeService processingTimeService

构造器详细资料

AbstractStreamOperatorV2

public AbstractStreamOperatorV2(StreamOperatorParameters<OUT> parameters,
                                int numberOfInputs)

方法详细资料

getMetricGroup

public org.apache.flink.metrics.groups.OperatorMetricGroup getMetricGroup()

指定者:

getMetricGroup 在接口中 StreamOperator<OUT>

initializeState

public final void initializeState(StreamTaskStateInitializer streamTaskStateManager)
                           throws Exception

从接口复制的说明: StreamOperator

Provides a context to initialize all state in the operator.

指定者:

initializeState 在接口中 StreamOperator<OUT>

抛出:

Exception

isUsingCustomRawKeyedState

@Internal
protected boolean isUsingCustomRawKeyedState()

Indicates whether or not implementations of this class is writing to the raw keyed state streams on snapshots, using snapshotState(StateSnapshotContext). If yes, subclasses should override this method to return true.

Subclasses need to explicitly indicate the use of raw keyed state because, internally, the AbstractStreamOperator may attempt to read from it as well to restore heap-based timers and ultimately fail with read errors. By setting this flag to true, this allows the AbstractStreamOperator to know that the data written in the raw keyed states were not written by the timer services, and skips the timer restore attempt.

Please refer to FLINK-19741 for further details.

TODO: this method can be removed once all timers are moved to be managed by state backends.

返回:

flag indicating whether or not this operator is writing to raw keyed state via snapshotState(StateSnapshotContext).

open

public void open()
          throws Exception

This method is called immediately before any elements are processed, it should contain the operator's initialization logic, e.g. state initialization.

The default implementation does nothing.

指定者:

open 在接口中 StreamOperator<OUT>

抛出:

Exception - An exception in this method causes the operator to fail.

finish

public void finish()
            throws Exception

从接口复制的说明: StreamOperator

This method is called at the end of data processing.

The method is expected to flush all remaining buffered data. Exceptions during this flushing of buffered data should be propagated, in order to cause the operation to be recognized as failed, because the last data items are not processed properly.

After this method is called, no more records can be produced for the downstream operators.

WARNING: It is not safe to use this method to commit any transactions or other side effects! You can use this method to flush any buffered data that can later on be committed e.g. in a CheckpointListener.notifyCheckpointComplete(long).

NOTE:This method does not need to close any resources. You should release external resources in the StreamOperator.close() method.

指定者:

finish 在接口中 StreamOperator<OUT>

抛出:

Exception - An exception in this method causes the operator to fail.

close

public void close()
           throws Exception

从接口复制的说明: StreamOperator

This method is called at the very end of the operator's life, both in the case of a successful completion of the operation, and in the case of a failure and canceling.

This method is expected to make a thorough effort to release all resources that the operator has acquired.

NOTE:It can not emit any records! If you need to emit records at the end of processing, do so in the StreamOperator.finish() method.

指定者:

close 在接口中 StreamOperator<OUT>

抛出:

Exception

prepareSnapshotPreBarrier

public void prepareSnapshotPreBarrier(long checkpointId)
                               throws Exception

从接口复制的说明: StreamOperator

This method is called when the operator should do a snapshot, before it emits its own checkpoint barrier.

This method is intended not for any actual state persistence, but only for emitting some data before emitting the checkpoint barrier. Operators that maintain some small transient state that is inefficient to checkpoint (especially when it would need to be checkpointed in a re-scalable way) but can simply be sent downstream before the checkpoint. An example are opportunistic pre-aggregation operators, which have small the pre-aggregation state that is frequently flushed downstream.

Important: This method should not be used for any actual state snapshot logic, because it will inherently be within the synchronous part of the operator's checkpoint. If heavy work is done within this method, it will affect latency and downstream checkpoint alignments.

指定者:

prepareSnapshotPreBarrier 在接口中 StreamOperator<OUT>

参数:

checkpointId - The ID of the checkpoint.

抛出:

Exception - Throwing an exception here causes the operator to fail and go into recovery.

snapshotState

public final OperatorSnapshotFutures snapshotState(long checkpointId,
                                                   long timestamp,
                                                   org.apache.flink.runtime.checkpoint.CheckpointOptions checkpointOptions,
                                                   org.apache.flink.runtime.state.CheckpointStreamFactory factory)
                                            throws Exception

从接口复制的说明: StreamOperator

Called to draw a state snapshot from the operator.

指定者:

snapshotState 在接口中 StreamOperator<OUT>

返回:

a runnable future to the state handle that points to the snapshotted state. For synchronous implementations, the runnable might already be finished.

抛出:

Exception - exception that happened during snapshotting.

snapshotState

public void snapshotState(org.apache.flink.runtime.state.StateSnapshotContext context)
                   throws Exception

Stream operators with state, which want to participate in a snapshot need to override this hook method.

指定者:

snapshotState 在接口中 StreamOperatorStateHandler.CheckpointedStreamOperator

参数:

context - context that provides information and means required for taking a snapshot

抛出:

Exception

initializeState

public void initializeState(org.apache.flink.runtime.state.StateInitializationContext context)
                     throws Exception

Stream operators with state which can be restored need to override this hook method.

指定者:

initializeState 在接口中 StreamOperatorStateHandler.CheckpointedStreamOperator

参数:

context - context that allows to register different states.

抛出:

Exception

notifyCheckpointComplete

public void notifyCheckpointComplete(long checkpointId)
                              throws Exception

指定者:

notifyCheckpointComplete 在接口中 org.apache.flink.api.common.state.CheckpointListener

抛出:

Exception

notifyCheckpointAborted

public void notifyCheckpointAborted(long checkpointId)
                             throws Exception

指定者:

notifyCheckpointAborted 在接口中 org.apache.flink.api.common.state.CheckpointListener

抛出:

Exception

getExecutionConfig

public org.apache.flink.api.common.ExecutionConfig getExecutionConfig()

Gets the execution config defined on the execution environment of the job to which this operator belongs.

返回:

The job's execution config.

getOperatorConfig

public StreamConfig getOperatorConfig()

getUserCodeClassloader

public ClassLoader getUserCodeClassloader()

getOperatorName

protected String getOperatorName()

Return the operator name. If the runtime context has been set, then the task name with subtask index is returned. Otherwise, the simple class name is returned.

返回:

If runtime context is set, then return task name with subtask index. Otherwise return simple class name.

getRuntimeContext

public StreamingRuntimeContext getRuntimeContext()

Returns a context that allows the operator to query information about the execution and also to interact with systems such as broadcast variables and managed state. This also allows to register timers.

getKeyedStateBackend

public <K> org.apache.flink.runtime.state.KeyedStateBackend<K> getKeyedStateBackend()

getOperatorStateBackend

@VisibleForTesting
public org.apache.flink.runtime.state.OperatorStateBackend getOperatorStateBackend()

getProcessingTimeService

@VisibleForTesting
public ProcessingTimeService getProcessingTimeService()

Returns the ProcessingTimeService responsible for getting the current processing time and registering timers.

getPartitionedState

protected <S extends org.apache.flink.api.common.state.State> S getPartitionedState(org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor)
                                                                             throws Exception

Creates a partitioned state handle, using the state backend configured for this task.

抛出:

IllegalStateException - Thrown, if the key/value state was already initialized.

Exception - Thrown, if the state backend cannot create the key/value state.

getOrCreateKeyedState

protected <N,S extends org.apache.flink.api.common.state.State,T> S getOrCreateKeyedState(org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer,
                                                                                          org.apache.flink.api.common.state.StateDescriptor<S,T> stateDescriptor)
                                                                                   throws Exception

抛出:

Exception

getPartitionedState

protected <S extends org.apache.flink.api.common.state.State,N> S getPartitionedState(N namespace,
                                                                                      org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer,
                                                                                      org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor)
                                                                               throws Exception

Creates a partitioned state handle, using the state backend configured for this task.

抛出:

IllegalStateException - Thrown, if the key/value state was already initialized.

Exception - Thrown, if the state backend cannot create the key/value state.

internalSetKeyContextElement

protected <T> void internalSetKeyContextElement(StreamRecord<T> record,
                                                org.apache.flink.api.java.functions.KeySelector<T,?> selector)
                                         throws Exception

抛出:

Exception

setCurrentKey

public void setCurrentKey(Object key)

指定者:

setCurrentKey 在接口中 KeyContext

getCurrentKey

public Object getCurrentKey()

指定者:

getCurrentKey 在接口中 KeyContext

getKeyedStateStore

public Optional<org.apache.flink.api.common.state.KeyedStateStore> getKeyedStateStore()

reportOrForwardLatencyMarker

protected void reportOrForwardLatencyMarker(LatencyMarker marker)

getInternalTimerService

@VisibleForTesting
public <K,N> InternalTimerService<N> getInternalTimerService(String name,
                                                                                org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer,
                                                                                Triggerable<K,N> triggerable)

Returns a InternalTimerService that can be used to query current processing time and event time and to set timers. An operator can have several timer services, where each has its own namespace serializer. Timer services are differentiated by the string key that is given when requesting them, if you call this method with the same key multiple times you will get the same timer service instance in subsequent requests.

Timers are always scoped to a key, the currently active key of a keyed stream operation. When a timer fires, this key will also be set as the currently active key.

Each timer has attached metadata, the namespace. Different timer services can have a different namespace type. If you don't need namespace differentiation you can use VoidNamespaceSerializer as the namespace serializer.

类型参数:

N - The type of the timer namespace.

参数:

name - The name of the requested timer service. If no service exists under the given name a new one will be created and returned.

namespaceSerializer - TypeSerializer for the timer namespace.

triggerable - The Triggerable that should be invoked when timers fire

processWatermark

public void processWatermark(Watermark mark)
                      throws Exception

抛出:

Exception

reportWatermark

protected void reportWatermark(Watermark mark,
                               int inputId)
                        throws Exception

抛出:

Exception

processWatermarkStatus

public final void processWatermarkStatus(WatermarkStatus watermarkStatus,
                                         int inputId)
                                  throws Exception

抛出:

Exception

getOperatorID

public org.apache.flink.runtime.jobgraph.OperatorID getOperatorID()

指定者:

getOperatorID 在接口中 StreamOperator<OUT>

setKeyContextElement1

public void setKeyContextElement1(StreamRecord<?> record)
                           throws Exception

指定者:

setKeyContextElement1 在接口中 StreamOperator<OUT>

抛出:

Exception

setKeyContextElement2

public void setKeyContextElement2(StreamRecord<?> record)
                           throws Exception

指定者:

setKeyContextElement2 在接口中 StreamOperator<OUT>

抛出:

Exception

getTimeServiceManager

protected Optional<InternalTimeServiceManager<?>> getTimeServiceManager()