如何在idea上使用flink消费kafka中的数据并存储在Redis中
【以下回答由 GPT 生成】
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import java.util.Properties;
public class KafkaConsumerExample {
public static void main(String[] args) throws Exception {
// 设置Flink StreamExecutionEnvironment
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// 配置Kafka Consumer的属性
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", "localhost:9092");
properties.setProperty("group.id", "flink-consumer-group");
// 从Kafka消费数据
FlinkKafkaConsumer<String> consumer = new FlinkKafkaConsumer<>("your-topic", new SimpleStringSchema(), properties);
DataStreamSource<String> kafkaDataStream = env.addSource(consumer);
// 将数据存储到Redis中
kafkaDataStream.addSink(new RedisSink());
// 执行Flink程序
env.execute("Kafka Consumer Example");
}
}
redis.clients:jedis:3.6.0
。import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.exceptions.JedisConnectionException;
public class RedisSink extends RichSinkFunction<String> {
private Jedis jedis;
@Override
public void open(Configuration parameters) throws Exception {
// 在这里初始化Redis连接
jedis = new Jedis("localhost", 6379);
}
@Override
public void invoke(String value, Context context) throws Exception {
try {
jedis.set("my-key", value);
} catch (JedisConnectionException e) {
// 处理连接异常
}
}
@Override
public void close() throws Exception {
// 关闭Redis连接
jedis.close();
}
}
your-topic
替换为实际的Kafka主题名称。my-key
替换为实际的Redis键名。这样,你就成功地使用Flink和Redis将Kafka中的数据消费并存储到Redis中了。
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