flink消费kafka 数据

最新推荐文章于 2025-06-04 13:52:38 发布

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最新推荐文章于 2025-06-04 13:52:38 发布 · 926 阅读

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本文详细介绍了如何使用 Apache Flink 连接并消费 Kafka 数据源，包括配置 Flink-Kafka 连接器、设置消费者组、处理数据流以及实现容错机制等关键步骤，帮助读者掌握实时数据处理的流程。

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import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09;
import org.apache.flink.util.Collector;

import java.util.Properties;

public class ReadingToKafka {

    public static void main(String[] args) throws Exception {
        String outPath = "/user/storm/test";
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //env.getConfig().enableSysoutLogging();
        env.enableCheckpointing(1000);
        Properties properties = new Properties();
        properties.setProperty("bootstrap.servers"