本文主要研究一下flink的CheckpointedFunctionhtml
public class BufferingSink implements SinkFunction<Tuple2<String, Integer>>, CheckpointedFunction { private final int threshold; private transient ListState<Tuple2<String, Integer>> checkpointedState; private List<Tuple2<String, Integer>> bufferedElements; public BufferingSink(int threshold) { this.threshold = threshold; this.bufferedElements = new ArrayList<>(); } @Override public void invoke(Tuple2<String, Integer> value) throws Exception { bufferedElements.add(value); if (bufferedElements.size() == threshold) { for (Tuple2<String, Integer> element: bufferedElements) { // send it to the sink } bufferedElements.clear(); } } @Override public void snapshotState(FunctionSnapshotContext context) throws Exception { checkpointedState.clear(); for (Tuple2<String, Integer> element : bufferedElements) { checkpointedState.add(element); } } @Override public void initializeState(FunctionInitializationContext context) throws Exception { ListStateDescriptor<Tuple2<String, Integer>> descriptor = new ListStateDescriptor<>( "buffered-elements", TypeInformation.of(new TypeHint<Tuple2<String, Integer>>() {})); checkpointedState = context.getOperatorStateStore().getListState(descriptor); if (context.isRestored()) { for (Tuple2<String, Integer> element : checkpointedState.get()) { bufferedElements.add(element); } } } }
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/checkpoint/CheckpointedFunction.javajava
@PublicEvolving @SuppressWarnings("deprecation") public interface CheckpointedFunction { /** * This method is called when a snapshot for a checkpoint is requested. This acts as a hook to the function to * ensure that all state is exposed by means previously offered through {@link FunctionInitializationContext} when * the Function was initialized, or offered now by {@link FunctionSnapshotContext} itself. * * @param context the context for drawing a snapshot of the operator * @throws Exception */ void snapshotState(FunctionSnapshotContext context) throws Exception; /** * This method is called when the parallel function instance is created during distributed * execution. Functions typically set up their state storing data structures in this method. * * @param context the context for initializing the operator * @throws Exception */ void initializeState(FunctionInitializationContext context) throws Exception; }
flink-runtime_2.11-1.7.0-sources.jar!/org/apache/flink/runtime/state/FunctionSnapshotContext.javanode
/** * This interface provides a context in which user functions that use managed state (i.e. state that is managed by state * backends) can participate in a snapshot. As snapshots of the backends themselves are taken by the system, this * interface mainly provides meta information about the checkpoint. */ @PublicEvolving public interface FunctionSnapshotContext extends ManagedSnapshotContext { }
flink-runtime_2.11-1.7.0-sources.jar!/org/apache/flink/runtime/state/ManagedSnapshotContext.javaredis
/** * This interface provides a context in which operators that use managed state (i.e. state that is managed by state * backends) can perform a snapshot. As snapshots of the backends themselves are taken by the system, this interface * mainly provides meta information about the checkpoint. */ @PublicEvolving public interface ManagedSnapshotContext { /** * Returns the ID of the checkpoint for which the snapshot is taken. * * <p>The checkpoint ID is guaranteed to be strictly monotonously increasing across checkpoints. * For two completed checkpoints <i>A</i> and <i>B</i>, {@code ID_B > ID_A} means that checkpoint * <i>B</i> subsumes checkpoint <i>A</i>, i.e., checkpoint <i>B</i> contains a later state * than checkpoint <i>A</i>. */ long getCheckpointId(); /** * Returns timestamp (wall clock time) when the master node triggered the checkpoint for which * the state snapshot is taken. */ long getCheckpointTimestamp(); }
flink-runtime_2.11-1.7.0-sources.jar!/org/apache/flink/runtime/state/FunctionInitializationContext.javaapache
/** * This interface provides a context in which user functions can initialize by registering to managed state (i.e. state * that is managed by state backends). * * <p> * Operator state is available to all functions, while keyed state is only available for functions after keyBy. * * <p> * For the purpose of initialization, the context signals if the state is empty or was restored from a previous * execution. * */ @PublicEvolving public interface FunctionInitializationContext extends ManagedInitializationContext { }
flink-runtime_2.11-1.7.0-sources.jar!/org/apache/flink/runtime/state/ManagedInitializationContext.javaapi
/** * This interface provides a context in which operators can initialize by registering to managed state (i.e. state that * is managed by state backends). * * <p> * Operator state is available to all operators, while keyed state is only available for operators after keyBy. * * <p> * For the purpose of initialization, the context signals if the state is empty (new operator) or was restored from * a previous execution of this operator. * */ public interface ManagedInitializationContext { /** * Returns true, if state was restored from the snapshot of a previous execution. This returns always false for * stateless tasks. */ boolean isRestored(); /** * Returns an interface that allows for registering operator state with the backend. */ OperatorStateStore getOperatorStateStore(); /** * Returns an interface that allows for registering keyed state with the backend. */ KeyedStateStore getKeyedStateStore(); }
non-keyed state
);其中Keyed State只能在KeyedStream上的functions及operators上使用;每一個operator state會跟parallel operator中的一個實例綁定;Operator State支持parallelism變動時進行redistributing第一次初始化或者從前一次checkpoint recover的時候
)被調用,該方法不只能夠用來初始化state,還能夠用於處理state recovery的邏輯在restore/redistribution的時候每一個operator僅僅獲得整個state的sublist
)及Union redistribution(在restore/redistribution的時候每一個operator獲得整個state的完整list
)