Apache Flink 1.11 流式写入 S3
创始人
2024-09-04 00:33:39
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 *

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