分析hbase

package com.bnls.test.parse

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.streaming.{Seconds, StreamingContext}

object ParseHbase {
  def main(args: Array[String]): Unit = {

    val sparkConf = new SparkConf().setMaster("local[2]").setAppName("parsehabse")
      .set("spark.serilizer", "org.apache.spark.serializer.KryoSerializer")
      .set("spark.rdd.compress", "true")
    val sc = new SparkContext(sparkConf)

   // val v = 1.to(10,2)
    for (v <- 1.to(10,2)){
      println(v)
    }
    /*val hiveContext = new HiveContext(sc)
    val ssc = new StreamingContext(sc, Seconds(60))
    val sql  = "select *  from  ods_hbase_salesdb.ec_sales_pay_detail"
    val resultDataFram = hiveContext.sql(sql)
    //resultDataFram.show()
    resultDataFram.rdd.foreach(row=>{
      val a = row.getString(1)
      println(a)
    })
    ssc.start()
    ssc.awaitTermination()*/
  }
}