using spark to read specific columns data from hbase

Question

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.

Answer 1

List of columns to scan needs to be space-delimited, according to the documentation.

hbaseConfig.set(TableInputFormat.SCAN_COLUMNS, "o:fname o:email");