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

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

一分钟揭秘!红龙扑克有作假(透... 一分钟揭秘!红龙扑克有作假(透视)原来真的有挂(详细教程)(有挂规律)-哔哩哔哩是由北京得红龙扑克有...
九分钟了解!智星德州菠萝有挂(... 九分钟了解!智星德州菠萝有挂(辅助挂)确实真的有挂(详细教程)(有挂介绍)-哔哩哔哩;智星德州菠萝有...
总算了解!德州之星ai软件(透... 总算了解!德州之星ai软件(透视)其实是真的有挂(详细教程)(有挂技巧)-哔哩哔哩;最新版2024是...
科技通报!gg扑克发牌机制测试... 科技通报!gg扑克发牌机制测试(透视)果真真的有挂(详细教程)(有挂攻略)-哔哩哔哩1、这是跨平台的...
安装程序教程!鱼扑克软件辅助(... 安装程序教程!鱼扑克软件辅助(透视)的确是真的有挂(详细教程)(有挂了解)-哔哩哔哩鱼扑克软件辅助平...
科技通报!cloudpoker... 自定义cloudpoker辅助器系统规律,只需要输入自己想要的开挂功能,一键便可以生成出微扑克专用辅...
终于懂了!xpoker(透视)... 终于懂了!xpoker(透视)原来真的有挂(详细教程)(有挂规律)-哔哩哔哩是一款可以让一直输的玩家...
2024教程!鱼扑克有挂(辅助... 2024教程!鱼扑克有挂(辅助挂)果真真的有挂(详细教程)(有挂详情)-哔哩哔哩;1.鱼扑克有挂 a...
总算明白!pokerrrr2挂... 1、总算明白!pokerrrr2挂(透视)的确真的有挂(详细教程)(有挂透明)-哔哩哔哩;详细教程。...
详细说明!来玩app德州安卓能... 详细说明!来玩app德州安卓能用(透视)竟然真的有挂(详细教程)(有挂了解)-哔哩哔哩;支持2-10...