Flink 自定义Sink端_flink addsink

Sink介绍

在Fink官网中sink端只是给出了常规的write api.在我们实际开发场景中需要将flink处理的数据写入kafka,hbase kudu等外部系统。

UML关系

自定义Sink需要实现父类的接口和继承抽象类。

上面是Sink的继承关系

Flink addSink

// 方法需要SinkFunction的对象
public DataStreamSink<T> addSink(SinkFunction<T> sinkFunction) {

		// read the output type of the input Transform to coax out errors about MissingTypeInfo
		transformation.getOutputType();

		// configure the type if needed
		if (sinkFunction instanceof InputTypeConfigurable) {
			((InputTypeConfigurable) sinkFunction).setInputType(getType(), getExecutionConfig());
		}

		StreamSink<T> sinkOperator = new StreamSink<>(clean(sinkFunction));

		DataStreamSink<T> sink = new DataStreamSink<>(this, sinkOperator);

		getExecutionEnvironment().addOperator(sink.getTransformation());
		return sink;
	}
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SinkFunction

// SinkFunction是一个接口
public interface SinkFunction<IN> extends Function, Serializable {
   //公共方法
	default void invoke(IN value, Context context) throws Exception {
		invoke(value);
	}
}
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RichSinkFunction

@Public
public abstract class RichSinkFunction<IN> extends AbstractRichFunction implements SinkFunction<IN> {

	private static final long serialVersionUID = 1L;
}
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其他继承接口SinkFunction的类：

案例

自定义HbaseSink

public class HbaseSink extends RichSinkFunction<Tuple2<Integer, String>> {
    Logger logger = LoggerFactory.getLogger(HbaseSink.class);
    org.apache.hadoop.conf.Configuration configuration;
    Connection connection;
    @Override
    public void open(Configuration parameters) throws Exception {
        super.open(parameters);
        //获取hbase 的链接信息
        configuration = HBaseConfiguration.create();
        configuration.set("hbase.zookeeper.quorum", "hadoop101,hadoop102,hadoop103");
        //创建conn
        connection = ConnectionFactory.createConnection(configuration);
        logger.info("创建链接成功");
    }

    @Override
    public void invoke(Tuple2<Integer, String> value, Context context) throws Exception {
        //往habse 里面插入数据
        SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        Table table = connection.getTable(TableName.valueOf("torder_count"));
        Put put = new Put(value.f1.getBytes(StandardCharsets.UTF_8));
        put.addColumn("info".getBytes(), // 列族
                "order_total".getBytes(StandardCharsets.UTF_8), //特征字段
                value.f0.toString().getBytes()); //属性值
        put.addColumn("info".getBytes(), "insert_time".getBytes(), format.format(new Date(System.currentTimeMillis())).getBytes());
        table.put(put);
        table.close();
        logger.info("=====一条数据写入成功======,时间："+value.f1+", 值："+value.f0);
    }
    @Override
    public void close() throws Exception {
        super.close();
        connection.close();
    }
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通过以上案例我们熟悉了addSink函数的操作。