sparkstreaming實時寫入Hbase(saveAsNewAPIHadoopDataset方法)

之前的博客中也寫過sparkstreaming批量寫入hbase,今天主要介紹一下用新的API寫入Hbase,直接看代碼吧:

package hbase

import kafka.PropertiesScalaUtils
import net.sf.json.JSONObject
import org.apache.hadoop.hbase.client.{Put, Result}
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.mapreduce.Job
import org.apache.spark.SparkConf
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.streaming.{Seconds, StreamingContext}
import org.apache.spark.streaming.kafka010.{ConsumerStrategies, KafkaUtils, LocationStrategies}
import spark.wordcount.kafkaStreams

/**
  * sparkstreaming寫入hbase新的API;
  */
object sparkToHbase {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("Hbase Test")
    val scc = new S