Flink数据实时写入HBase

• main

object MyHbaseSinkTest {
  def main(args: Array[String]): Unit = {
    //环境
    val env = StreamExecutionEnvironment.getExecutionEnvironment

    /**
     * 获取基础参数
     */
    val bootstrapserversnew = Contant.BOOTSTRAP_SERVERS_NEW
    import org.apache.flink.api.scala._

    /**
     * 定义kafka-source得到DataStream
     */
    val topics = "vs_merging_middle_topic"
    //将kafka中数据反序列化，
    val valueDeserializer: DeserializationSchema[String] = new SimpleStringSchema()

    val properties = new Properties()
    properties.put("bootstrap.servers", bootstrapserversnew)
    properties.put("group.id", "flink_hbase_sink_consumer2")
    properties.put("auto.offset.reset", Contant.AUTO_OFFSET_RESET_VALUE)

    println(Contant.BOOTSTRAP_SERVERS_NEW)
    val kafkaSinkDStream = env.addSource(new FlinkKafkaConsumer[String](topics, valueDeserializer, properties))

    kafkaSinkDS