在Flink 1.7中,要将checkpoint持久化到阿里云OSS,需要进行以下步骤:
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1、引入相关依赖
在项目的pom.xml文件中添加Flink OSS Connector的依赖:
<dependency> <groupId>com.alibaba.ververica</groupId> <artifactId>flinkconnectoross_2.11</artifactId> <version>1.0.0</version> </dependency>
2、配置OSS参数
在Flink的配置文件(如flinkconf.yaml)中添加以下OSS相关参数:
OSS Access Key ID flink.oss.accesskeyid: <your_access_key_id> OSS Access Key Secret flink.oss.accesskeysecret: <your_access_key_secret> OSS Endpoint flink.oss.endpoint: <your_endpoint> OSS Bucket flink.oss.bucket: <your_bucket> OSS Path Prefix flink.oss.pathprefix: <your_path_prefix> OSS File System Type flink.oss.filesystemtype: <your_filesystem_type>
3、设置Checkpoint配置
在Flink程序中设置Checkpoint配置,将Checkpoint存储到OSS:
import org.apache.flink.contrib.streaming.state.RocksDBStateBackend; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.checkpoint.CheckpointConfig; import org.apache.flink.streaming.api.checkpoint.CheckpointingMode; import org.apache.flink.streaming.api.checkpoint.CheckpointStorageLocation; import org.apache.flink.streaming.api.checkpoint.CheckpointWriter; public class FlinkCDCJob { public static void main(String[] args) throws Exception { // 创建执行环境 StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); // 设置Checkpoint配置 CheckpointConfig config = env.getCheckpointConfig(); config.setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE); config.setCheckpointInterval(60000); // 检查点间隔为1分钟 config.setMaxConcurrentCheckpoints(1); // 最多同时进行一个检查点 config.setMinPauseBetweenCheckpoints(30000); // 检查点之间的最小暂停时间为30秒 config.setCheckpointTimeout(10000); // 检查点超时时间为10秒 config.enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION); // 设置Checkpoint存储位置 CheckpointStorageLocation storageLocation = new CheckpointStorageLocation("hdfs://localhost:9000/flink/checkpoints"); storageLocation.setDefaultFilesystemType("oss"); storageLocation.setFilesystemURI("oss://your_bucket/your_path_prefix"); // 设置Checkpoint写入器 env.setStateBackend(new RocksDBStateBackend(storageLocation)); env.setCheckpointWriterFactory(new CheckpointWriterFactory<>(storageLocation)); // 启动作业 env.execute("Flink CDC Job"); } }
通过以上步骤,可以将Flink 1.7的checkpoint持久化到阿里云OSS。
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