OUT - The output type of the operator@PublicEvolving public abstract class AbstractStreamOperator<OUT> extends Object implements StreamOperator<OUT>, SetupableStreamOperator<OUT>, Serializable
AbstractUdfStreamOperator instead (which is a specialized subclass of this class).
For concrete implementations, one of the following two interfaces must also be implemented, to
mark the operator as unary or binary:
OneInputStreamOperator or TwoInputStreamOperator.
Methods of StreamOperator are guaranteed not to be called concurrently. Also, if using
the timer service, timer callbacks are also guaranteed not to be called concurrently with
methods on StreamOperator.
| Modifier and Type | Class and Description |
|---|---|
static class |
AbstractStreamOperator.CountingOutput<OUT>
Wrapping
Output that updates metrics on the number of emitted elements. |
| Modifier and Type | Field and Description |
|---|---|
protected ChainingStrategy |
chainingStrategy |
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.OperatorMetricGroup |
metrics
Metric group for the operator.
|
protected Output<StreamRecord<OUT>> |
output |
protected InternalTimeServiceManager<?> |
timeServiceManager |
| Constructor and Description |
|---|
AbstractStreamOperator() |
| Modifier and Type | Method and Description |
|---|---|
void |
close()
This method is called after all records have been added to the operators via the methods
OneInputStreamOperator.processElement(StreamRecord), or
TwoInputStreamOperator.processElement1(StreamRecord) and
TwoInputStreamOperator.processElement2(StreamRecord). |
void |
dispose()
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.
|
ChainingStrategy |
getChainingStrategy() |
StreamTask<?,?> |
getContainingTask() |
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() |
org.apache.flink.api.common.state.KeyedStateStore |
getKeyedStateStore() |
org.apache.flink.metrics.MetricGroup |
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> |
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> |
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> |
getPartitionedState(org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor)
Creates a partitioned state handle, using the state backend configured for this task.
|
protected 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.
|
ClassLoader |
getUserCodeClassloader() |
void |
initializeState()
Provides a context to initialize all state in the operator.
|
void |
initializeState(org.apache.flink.runtime.state.StateInitializationContext context)
Stream operators with state which can be restored need to override this hook method.
|
void |
notifyCheckpointComplete(long checkpointId) |
int |
numEventTimeTimers() |
int |
numProcessingTimeTimers() |
void |
open()
This method is called immediately before any elements are processed, it should contain the
operator's initialization logic, e.g.
|
void |
prepareSnapshotPreBarrier(long checkpointId)
This method is called when the operator should do a snapshot, before it emits its
own checkpoint barrier.
|
void |
processLatencyMarker(LatencyMarker latencyMarker) |
void |
processLatencyMarker1(LatencyMarker latencyMarker) |
void |
processLatencyMarker2(LatencyMarker latencyMarker) |
void |
processWatermark(Watermark mark) |
void |
processWatermark1(Watermark mark) |
void |
processWatermark2(Watermark mark) |
protected void |
reportOrForwardLatencyMarker(LatencyMarker marker) |
void |
setChainingStrategy(ChainingStrategy strategy) |
void |
setCurrentKey(Object key) |
void |
setKeyContextElement1(StreamRecord record) |
void |
setKeyContextElement2(StreamRecord record) |
void |
setup(StreamTask<?,?> containingTask,
StreamConfig config,
Output<StreamRecord<OUT>> output)
Initializes the operator.
|
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.
|
protected static final org.slf4j.Logger LOG
protected ChainingStrategy chainingStrategy
protected transient StreamConfig config
protected transient Output<StreamRecord<OUT>> output
protected transient org.apache.flink.runtime.metrics.groups.OperatorMetricGroup metrics
protected transient LatencyStats latencyStats
protected transient InternalTimeServiceManager<?> timeServiceManager
public void setup(StreamTask<?,?> containingTask, StreamConfig config, Output<StreamRecord<OUT>> output)
SetupableStreamOperatorsetup in interface SetupableStreamOperator<OUT>public org.apache.flink.metrics.MetricGroup getMetricGroup()
getMetricGroup in interface StreamOperator<OUT>public final void initializeState()
throws Exception
StreamOperatorinitializeState in interface StreamOperator<OUT>Exceptionpublic void open()
throws Exception
The default implementation does nothing.
open in interface StreamOperator<OUT>Exception - An exception in this method causes the operator to fail.public void close()
throws Exception
OneInputStreamOperator.processElement(StreamRecord), or
TwoInputStreamOperator.processElement1(StreamRecord) and
TwoInputStreamOperator.processElement2(StreamRecord).
The method is expected to flush all remaining buffered data. Exceptions during this flushing of buffered should be propagated, in order to cause the operation to be recognized asa failed, because the last data items are not processed properly.
close in interface StreamOperator<OUT>Exception - An exception in this method causes the operator to fail.public void dispose()
throws Exception
This method is expected to make a thorough effort to release all resources that the operator has acquired.
dispose in interface StreamOperator<OUT>dispose in interface org.apache.flink.util.DisposableExceptionpublic void prepareSnapshotPreBarrier(long checkpointId)
throws Exception
StreamOperatorThis 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.
prepareSnapshotPreBarrier in interface StreamOperator<OUT>checkpointId - The ID of the checkpoint.Exception - Throwing an exception here causes the operator to fail and go into recovery.public final OperatorSnapshotFutures snapshotState(long checkpointId, long timestamp, org.apache.flink.runtime.checkpoint.CheckpointOptions checkpointOptions, org.apache.flink.runtime.state.CheckpointStreamFactory factory) throws Exception
StreamOperatorsnapshotState in interface StreamOperator<OUT>Exception - exception that happened during snapshotting.public void snapshotState(org.apache.flink.runtime.state.StateSnapshotContext context)
throws Exception
context - context that provides information and means required for taking a snapshotExceptionpublic void initializeState(org.apache.flink.runtime.state.StateInitializationContext context)
throws Exception
context - context that allows to register different states.Exceptionpublic void notifyCheckpointComplete(long checkpointId)
throws Exception
notifyCheckpointComplete in interface org.apache.flink.runtime.state.CheckpointListenerExceptionpublic org.apache.flink.api.common.ExecutionConfig getExecutionConfig()
public StreamConfig getOperatorConfig()
public StreamTask<?,?> getContainingTask()
public ClassLoader getUserCodeClassloader()
protected String getOperatorName()
public StreamingRuntimeContext getRuntimeContext()
public <K> org.apache.flink.runtime.state.KeyedStateBackend<K> getKeyedStateBackend()
public org.apache.flink.runtime.state.OperatorStateBackend getOperatorStateBackend()
protected ProcessingTimeService getProcessingTimeService()
ProcessingTimeService responsible for getting the current
processing time and registering timers.protected <S extends org.apache.flink.api.common.state.State> S getPartitionedState(org.apache.flink.api.common.state.StateDescriptor<S,?> stateDescriptor)
throws Exception
IllegalStateException - Thrown, if the key/value state was already initialized.Exception - Thrown, if the state backend cannot create the key/value state.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
Exceptionprotected <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
IllegalStateException - Thrown, if the key/value state was already initialized.Exception - Thrown, if the state backend cannot create the key/value state.public void setKeyContextElement1(StreamRecord record) throws Exception
setKeyContextElement1 in interface StreamOperator<OUT>Exceptionpublic void setKeyContextElement2(StreamRecord record) throws Exception
setKeyContextElement2 in interface StreamOperator<OUT>Exceptionpublic void setCurrentKey(Object key)
setCurrentKey in interface KeyContextpublic Object getCurrentKey()
getCurrentKey in interface KeyContextpublic org.apache.flink.api.common.state.KeyedStateStore getKeyedStateStore()
public final void setChainingStrategy(ChainingStrategy strategy)
setChainingStrategy in interface StreamOperator<OUT>public final ChainingStrategy getChainingStrategy()
getChainingStrategy in interface StreamOperator<OUT>public void processLatencyMarker(LatencyMarker latencyMarker) throws Exception
Exceptionpublic void processLatencyMarker1(LatencyMarker latencyMarker) throws Exception
Exceptionpublic void processLatencyMarker2(LatencyMarker latencyMarker) throws Exception
Exceptionprotected void reportOrForwardLatencyMarker(LatencyMarker marker)
public <K,N> InternalTimerService<N> getInternalTimerService(String name, org.apache.flink.api.common.typeutils.TypeSerializer<N> namespaceSerializer, Triggerable<K,N> triggerable)
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.
N - The type of the timer namespace.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 firepublic org.apache.flink.runtime.jobgraph.OperatorID getOperatorID()
getOperatorID in interface StreamOperator<OUT>@VisibleForTesting public int numProcessingTimeTimers()
@VisibleForTesting public int numEventTimeTimers()
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