spark 写hbase

部分情况下：

saveAsNewAPIHadoopDataset不能用

大坑，

org.apache.hadoop.mapred

和

org.apache.hadoop.mapreduce两个包的混乱

　　

package com.xiaomi.mishell.statusbar

import org.apache.hadoop.hbase.HBaseConfiguration
import org.apache.hadoop.hbase.client.Put
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.mapred.TableOutputFormat
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.mapred.JobConf
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.rdd.RDD.rddToPairRDDFunctions

object SparkWriteHbaseTest {
    def main(args: Array[String]): Unit = {
        val sparkConf = new SparkConf().setAppName("HBaseTest").setMaster("local")
        val sc = new SparkContext(sparkConf)

        val conf = HBaseConfiguration.create()
        conf.set("hbase.zookeeper.quorum", "10.38.161.138")
        conf.set("hbase.zookeeper.property.clientPort", "2181")

        val tablename = "table1"

        //初始化jobconf，TableOutputFormat必须是org.apache.hadoop.hbase.mapred包下的！
        val jobConf = new JobConf(conf)
        jobConf.setOutputFormat(classOf[TableOutputFormat])
        jobConf.set(TableOutputFormat.OUTPUT_TABLE, tablename)

        val indataRDD = sc.makeRDD(Array("1,jack,15", "2,Lily,16", "3,mike,16"))

        val rdd = indataRDD.map(_.split(',')).map { arr => {
            /*一个Put对象就是一行记录，在构造方法中指定主键
             * 所有插入的数据必须用org.apache.hadoop.hbase.util.Bytes.toBytes方法转换
             * Put.add方法接收三个参数：列族，列名，数据
             */
            val put = new Put(Bytes.toBytes(arr(0).toInt))
            put.add(Bytes.toBytes("group1"), Bytes.toBytes("col1"), Bytes.toBytes(arr(1)))

            (new ImmutableBytesWritable, put)
        }
        }

        rdd.saveAsHadoopDataset(jobConf)

        sc.stop()
    }
}