Package org.apache.flink.runtime.state

Interface StateBackend

  • All Superinterfaces:
    Serializable
    All Known Subinterfaces:
    ConfigurableStateBackend, DelegatingStateBackend
    All Known Implementing Classes:
    AbstractFileStateBackend, AbstractManagedMemoryStateBackend, AbstractStateBackend, FsStateBackend, HashMapStateBackend, MemoryStateBackend
    @PublicEvolving
public interface StateBackend
extends Serializable
    A State Backend defines how the state of a streaming application is stored locally within the cluster. Different State Backends store their state in different fashions, and use different data structures to hold the state of a running application.

    For example, the hashmap state backend keeps working state in the memory of the TaskManager. The backend is lightweight and without additional dependencies.

    The EmbeddedRocksDBStateBackend stores working state in an embedded RocksDB and is able to scale working state to many terabytes in size, only limited by available disk space across all task managers.

    Raw Bytes Storage and Backends

    The StateBackend creates services for keyed state and operator state.

    The CheckpointableKeyedStateBackend and OperatorStateBackend created by this state backend define how to hold the working state for keys and operators. They also define how to checkpoint that state, frequently using the raw bytes storage (via the CheckpointStreamFactory). However, it is also possible that for example a keyed state backend simply implements the bridge to a key/value store, and that it does not need to store anything in the raw byte storage upon a checkpoint.

    Serializability

    State Backends need to be serializable, because they distributed across parallel processes (for distributed execution) together with the streaming application code.

    Because of that, StateBackend implementations (typically subclasses of AbstractStateBackend) are meant to be like factories that create the proper states stores that provide access to the persistent storage and hold the keyed- and operator state data structures. That way, the State Backend can be very lightweight (contain only configurations) which makes it easier to be serializable.

    Thread Safety

    State backend implementations have to be thread-safe. Multiple threads may be creating keyed-/operator state backends concurrently.

    • Method Detail

      • getName

        default String getName()
        Return the name of this backend, default is simple class name. DelegatingStateBackend may return the simple class name of the delegated backend.

      • createKeyedStateBackend

        <K> CheckpointableKeyedStateBackend<K> createKeyedStateBackend​(Environment env,
                                                               org.apache.flink.api.common.JobID jobID,
                                                               String operatorIdentifier,
                                                               org.apache.flink.api.common.typeutils.TypeSerializer<K> keySerializer,
                                                               int numberOfKeyGroups,
                                                               KeyGroupRange keyGroupRange,
                                                               TaskKvStateRegistry kvStateRegistry,
                                                               TtlTimeProvider ttlTimeProvider,
                                                               org.apache.flink.metrics.MetricGroup metricGroup,
                                                               @Nonnull
                                                               Collection<KeyedStateHandle> stateHandles,
                                                               org.apache.flink.core.fs.CloseableRegistry cancelStreamRegistry)
                                                        throws Exception
        Creates a new CheckpointableKeyedStateBackend that is responsible for holding keyed state and checkpointing it.

        Keyed State is state where each value is bound to a key.

        Type Parameters:
        K - The type of the keys by which the state is organized.
        Parameters:
        env - The environment of the task.
        jobID - The ID of the job that the task belongs to.
        operatorIdentifier - The identifier text of the operator.
        keySerializer - The key-serializer for the operator.
        numberOfKeyGroups - The number of key-groups aka max parallelism.
        keyGroupRange - Range of key-groups for which the to-be-created backend is responsible.
        kvStateRegistry - KvStateRegistry helper for this task.
        ttlTimeProvider - Provider for TTL logic to judge about state expiration.
        metricGroup - The parent metric group for all state backend metrics.
        stateHandles - The state handles for restore.
        cancelStreamRegistry - The registry to which created closeable objects will be registered during restore.
        Returns:
        The Keyed State Backend for the given job, operator, and key group range.
        Throws:
        Exception - This method may forward all exceptions that occur while instantiating the backend.

      • createOperatorStateBackend

        OperatorStateBackend createOperatorStateBackend​(Environment env,
                                                String operatorIdentifier,
                                                @Nonnull
                                                Collection<OperatorStateHandle> stateHandles,
                                                org.apache.flink.core.fs.CloseableRegistry cancelStreamRegistry)
                                         throws Exception
        Creates a new OperatorStateBackend that can be used for storing operator state.

        Operator state is state that is associated with parallel operator (or function) instances, rather than with keys.

        Parameters:
        env - The runtime environment of the executing task.
        operatorIdentifier - The identifier of the operator whose state should be stored.
        stateHandles - The state handles for restore.
        cancelStreamRegistry - The registry to register streams to close if task canceled.
        Returns:
        The OperatorStateBackend for operator identified by the job and operator identifier.
        Throws:
        Exception - This method may forward all exceptions that occur while instantiating the backend.

      • useManagedMemory

        default boolean useManagedMemory()
        Whether the state backend uses Flink's managed memory.

      • supportsSavepointFormat

        default boolean supportsSavepointFormat​(org.apache.flink.core.execution.SavepointFormatType formatType)