All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.flink.runtime.state.StateBackend Maven / Gradle / Ivy

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.flink.runtime.state;

import org.apache.flink.annotation.PublicEvolving;
import org.apache.flink.api.common.JobID;
import org.apache.flink.api.common.typeutils.TypeSerializer;
import org.apache.flink.runtime.execution.Environment;
import org.apache.flink.runtime.query.TaskKvStateRegistry;

import javax.annotation.Nullable;
import java.io.IOException;

/**
 * A State Backend defines how the state of a streaming application is stored and
 * checkpointed. 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 {@link org.apache.flink.runtime.state.memory.MemoryStateBackend memory state backend} * keeps working state in the memory of the TaskManager and stores checkpoints in the memory of the * JobManager. The backend is lightweight and without additional dependencies, but not highly available * and supports only small state. * *

The {@link org.apache.flink.runtime.state.filesystem.FsStateBackend file system state backend} * keeps working state in the memory of the TaskManager and stores state checkpoints in a filesystem * (typically a replicated highly-available filesystem, like HDFS, * Ceph, S3, * GCS, etc). * *

The {@code RocksDBStateBackend} stores working state in RocksDB, * and checkpoints the state by default to a filesystem (similar to the {@code FsStateBackend}). * *

Raw Bytes Storage and Backends

* * The {@code StateBackend} creates services for raw bytes storage and for keyed state * and operator state. * *

The raw bytes storage (through the {@link CheckpointStreamFactory}) is the fundamental * service that simply stores bytes in a fault tolerant fashion. This service is used by the JobManager * to store checkpoint and recovery metadata and is typically also used by the keyed- and operator state * backends to store checkpointed state. * *

The {@link AbstractKeyedStateBackend} and {@link 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 {@code 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 {@link java.io.Serializable serializable}, because they distributed * across parallel processes (for distributed execution) together with the streaming application code. * *

Because of that, {@code StateBackend} implementations (typically subclasses * of {@link 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 * streams and keyed-/operator state backends concurrently. */ @PublicEvolving public interface StateBackend extends java.io.Serializable { // ------------------------------------------------------------------------ // Persistent Bytes Storage // ------------------------------------------------------------------------ /** * Creates a {@link CheckpointStreamFactory} that can be used to create streams * that should end up in a checkpoint. * * @param jobId The {@link JobID} of the job for which we are creating checkpoint streams. * @param operatorIdentifier An identifier of the operator for which we create streams. */ CheckpointStreamFactory createStreamFactory(JobID jobId, String operatorIdentifier) throws IOException; /** * Creates a {@link CheckpointStreamFactory} that can be used to create streams * that should end up in a savepoint. * *

This is only called if the triggered checkpoint is a savepoint. Commonly * this will return the same factory as for regular checkpoints, but maybe * slightly adjusted. * * @param jobId The {@link JobID} of the job for which we are creating checkpoint streams. * @param operatorIdentifier An identifier of the operator for which we create streams. * @param targetLocation An optional custom location for the savepoint stream. * * @return The stream factory for savepoints. * * @throws IOException Failures during stream creation are forwarded. */ CheckpointStreamFactory createSavepointStreamFactory( JobID jobId, String operatorIdentifier, @Nullable String targetLocation) throws IOException; // ------------------------------------------------------------------------ // Structure Backends // ------------------------------------------------------------------------ /** * Creates a new {@link AbstractKeyedStateBackend} that is responsible for holding keyed state * and checkpointing it. * *

Keyed State is state where each value is bound to a key. * * @param env * @param jobID * @param operatorIdentifier * @param keySerializer * @param numberOfKeyGroups * @param keyGroupRange * @param kvStateRegistry * * @param The type of the keys by which the state is organized. * * @return 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. */ AbstractKeyedStateBackend createKeyedStateBackend( Environment env, JobID jobID, String operatorIdentifier, TypeSerializer keySerializer, int numberOfKeyGroups, KeyGroupRange keyGroupRange, TaskKvStateRegistry kvStateRegistry) throws Exception; /** * Creates a new {@link 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. * * @param env The runtime environment of the executing task. * @param operatorIdentifier The identifier of the operator whose state should be stored. * * @return 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. */ OperatorStateBackend createOperatorStateBackend(Environment env, String operatorIdentifier) throws Exception; }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy