Apache Flink 1.11 流式写入 S3
创始人
2024-09-04 00:32:50
0次

在Apache Flink 1.11中,可以使用S3FileSystem作为输出源将数据流写入Amazon S3。下面是一个示例代码:

import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.core.fs.FileSystem;
import org.apache.flink.core.fs.Path;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.fs.bucketing.BucketingSink;
import org.apache.flink.streaming.connectors.fs.bucketing.DateTimeBucketer;
import org.apache.flink.streaming.connectors.fs.bucketing.StringWriter;
import org.apache.flink.streaming.connectors.fs.bucketing.bucketassigners.DateTimeBucketAssigner;
import org.apache.flink.streaming.connectors.fs.bucketing.bucketassigners.SimpleVersionedStringSerializer;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.BucketingFileWriter;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.DateTimeBucketer;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.Writer;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.buckets.Bucket;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.buckets.BucketFactory;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.CheckpointRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.DefaultRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.RollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.BasePathPartitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.BucketPartitions;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.Partitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.PathPartitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.PrefixPartitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.SubtaskIndexPartitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.TaskIdPartitioner;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.field.FieldExtractor;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.field.TimestampExtractor;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.field.ValueExtractor;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.partitioner.field.VelocityExtractor;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.OnCheckpointRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.OnProcessingTimeRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.RollingPolicyTrigger;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.RollingPolicyTriggers;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.OnCheckpointRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.OnProcessingTimeRollingPolicy;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.RollingPolicyTrigger;
import org.apache.flink.streaming.connectors.fs.bucketing.writer.rollingpolicies.trigger.RollingPolicyTriggers;

import java.util.HashMap;
import java.util.Map;

public class S3WriterExample {

    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        
        // 设置S3文件系统
        Configuration config = new Configuration();
        config.setString("s3.access.key", "YOUR_ACCESS_KEY");
        config.setString("s3.secret.key", "YOUR_SECRET_KEY");
        config.setString("s3.endpoint", "YOUR_ENDPOINT");
        config.setString("s3.path.style.access", "true");
        config.setString("s3.signer.type", "S3SignerType");
        config.setBoolean("s3.use.experimental.fallback.signer.config", true);
        config.setString("s3.region", "us-west-2");

        FileSystem.initialize(config);

        // 创建一个数据流
        DataStream stream = env.fromElements("data1", "data2", "data3");

        // 创建一个BucketingSink将数据流写入S3
        BucketingSink bucketingSink = new BucketingSink<>("s3://your-bucket/path");
        bucketingSink.setBucketer(new DateTimeBucketer<>("yyyy-MM-dd--HHmm"));
        bucketingSink.setWriter(new StringWriter<>());
        bucketingSink.setBatchSize(1024 *

相关内容

热门资讯

重大通报透视器!娱家麻将透视器... 重大通报透视器!娱家麻将透视器AI脚本,娱家麻将多功能切实真的是有透视器脚本1、娱家麻将辅助软件下载...
重大消息开挂!家乡大贰开挂AI... 重大消息开挂!家乡大贰开挂AI插件,家乡大贰多功能果然有开挂插件家乡大贰脚本下载中分为三种模型:家乡...
玩家必看科普外挂!河洛杠次外挂... 玩家必看科普外挂!河洛杠次外挂AI工具,河洛杠次多功能一直是真的有外挂工具亲,关键说明,河洛杠次透视...
重大来袭开挂!广西老友玩开挂A... 重大来袭开挂!广西老友玩开挂AIapp,广西老友玩多功能竟然有开挂app1、每一步都需要思考,不同水...
科技揭秘透视挂!嘟咪互动麻将透... 科技揭秘透视挂!嘟咪互动麻将透视挂AI插件,嘟咪互动麻将多功能竟然是有透视挂插件1、玩家可以在嘟咪互...
盘点几款辅助器!微乐河北麻将辅... 盘点几款辅助器!微乐河北麻将辅助器AI工具,微乐河北麻将多功能竟然存在有辅助器工具盘点几款辅助器!微...
盘点一款透视挂!星际互联透视挂... 盘点一款透视挂!星际互联透视挂AI方法,星际互联多功能竟然是有透视挂方法1、星际互联破解器简单,星际...
推荐十款开挂!MG棋牌开挂AI... 推荐十款开挂!MG棋牌开挂AI教程,MG棋牌多功能一直是真的有开挂教程1、每一步都需要思考,不同水平...
记者揭秘辅助器!大圣天辅助器A... 记者揭秘辅助器!大圣天辅助器AI教程,大圣天多功能切实真的有辅助器教程1)大圣天免费钻石:进一步探索...
技术分享作弊器!赣牌圈打炸作弊... 技术分享作弊器!赣牌圈打炸作弊器AI插件,赣牌圈打炸多功能确实是有作弊器插件1、起透看视 赣牌圈打炸...