How to read a record from HBase then store into Spark RDD (Resilient Distributed Datasets); and read one RDD record then write into HBase?

Please make use of the basic code in Scala where we are reading the data in HBase using Scala. Similarly you can write a table creation to write the data into HBase

import org.apache.hadoop.hbase.client.{HBaseAdmin, Result}import org.apache.hadoop.hbase.{ HBaseConfiguration, HTableDescriptor }import org.apache.hadoop.hbase.mapreduce.TableInputFormatimport org.apache.hadoop.hbase.io.ImmutableBytesWritableimport org.apache.spark._object HBaseApp {  def main(args: Array[String]) {    val sparkConf = new SparkConf().setAppName("HBaseApp").setMaster("local[2]")    val sc = new SparkContext(sparkConf)    val conf = HBaseConfiguration.create()    val tableName = "table1"    System.setProperty("user.name", "hdfs")    System.setProperty("HADOOP_USER_NAME", "hdfs")    conf.set("hbase.master", "localhost:60000")    conf.setInt("timeout", 100000)    conf.set("hbase.zookeeper.quorum", "localhost")    conf.set("zookeeper.znode.parent", "/hbase-unsecure")    conf.set(TableInputFormat.INPUT_TABLE, tableName)    val admin = new HBaseAdmin(conf)    if (!admin.isTableAvailable(tableName)) {      val tableDesc = new HTableDescriptor(tableName)      admin.createTable(tableDesc)    }    val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat], classOf[ImmutableBytesWritable], classOf[Result])    println("Number of Records found : " + hBaseRDD.count())    sc.stop()  }}