using spark to read specific columns data from hbase

I have a table in HBase named as "orders" it has column family 'o' and columns as {id,fname,lname,email} having row key as id. I am trying to get the value of fname and email only from hbase using spark. Currently what 'i am doing is given below ``` override def put(params: scala.collection.Map[String, Any]): Boolean = { var sparkConfig = new SparkConf().setAppName("Connector") var sc: SparkContext = new SparkContext(sparkConfig) var hbaseConfig = HBaseConfiguration.create() hbaseConfig.set("hbase.zookeeper.quorum", ZookeeperQourum) hbaseConfig.set("hbase.zookeeper.property.clientPort", zookeeperPort) hbaseConfig.set(TableInputFormat.INPUT_TABLE, schemdto.tableName); hbaseConfig.set(TableInputFormat.SCAN_COLUMNS, "o:fname,o:email"); var hBaseRDD = sc.newAPIHadoopRDD(hbaseConfig, classOf[TableInputFormat], classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable], classOf[org.apache.hadoop.hbase.client.Result]) try { hBaseRDD.map(tuple => tuple._2).map(result => result.raw()) .map(f => KeyValueToString(f)).saveAsTextFile(sink) true } catch { case _: Exception => false } } def KeyValueToString(keyValues: Array[KeyValue]): String = { var it = keyValues.iterator var res = new StringBuilder while (it.hasNext) { res.append( Bytes.toString(it.next.getValue()) + ",") } res.substring(0, res.length-1); } ``` But nothing is returned and If I try to fetch only one column such as ``` hbaseConfig.set(TableInputFormat.SCAN_COLUMNS, "o:fname"); ``` then it returns all the values of column fname So my question is how to get multiple columns from hbase using spark Any help will be appreciated.