flink读取kafka数据

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flink相比于spark，还是比较好用的。话不多说上代码

 //定义流处理环境

final StreamExecutionEnvironment env = StreamExecutionEnvironment
                .getExecutionEnvironment();

		// 非常关键，一定要设置启动检查点！！
		env.enableCheckpointing(5000);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
//配置kafka信息
Properties props = new Properties();
		props.setProperty("bootstrap.servers",
				"hadoop01:9092,hadoop02:9092");
		props.setProperty("zookeeper.connect",
				"hadoop01:2181,hadoop02:2181");
		props.setProperty("group.id", "kafka_to_hdfs");
//读取数据
		FlinkKafkaConsumer010<String> consumer = new FlinkKafkaConsumer010<>(
				"test1", new SimpleStringSchema(), props);
//设置只读取最新数据
		consumer.setStartFromLatest();
//添加kafka为数据源
		DataStream<String> stream = env.addSource(consumer);
//定义输出sink
		BucketingSink<String> hdfs_sink = new BucketingSink<String>(
				"hdfs:///data/flink/fromKafka");
		hdfs_sink.setBatchSize(1024 * 1024 * 400);
		hdfs_sink.setBucketer(new DateTimeBucketer<String>("yyyy-MM-dd"));
		hdfs_sink.setBatchRolloverInterval(3600000);
		//存到hdfs
		stream.addSink(hdfs_sink);
		env.execute("Kafka-to-HDFS");