case5

hbaseContext.bulkPut[Row](rddFromSql.rdd,
      tableName,
      (putRecord) => {
        val put = new Put(Bytes.toBytes(putRecord.getString(0)))
        put.add(Bytes.toBytes(columnFamily1),Bytes.toBytes("receiver"),Bytes.toBytes(putRecord.getString(1)))
        put.add(Bytes.toBytes(columnFamily1),Bytes.toBytes("count"),Bytes.toBytes(putRecord.getLong(2)))
        put
      },
      true);

sc.textfile("/dir/*.txt")

df.first
res1: org.apache.spark.sql.Row = [blah1,blah2]
df.map { _.toSeq.map {_.toString}.toArray }.first
res2: Array[String] = Array(blah1, blah2)

Simplistic Java 8 code might look like this:

Files.write(
     Paths.get("some_file.txt"), 
     model.clusterCenters()
       .stream().map(a -> Arrays.toString(a.toArray()))
       .collect(Collectors.toList())
 );
Non Java 8 looked like this:

List<String> lines = new ArrayList<>();
for (Vector center : model.clusterCenters()) {       
   lines.add(Arrays.toString(center.toArray()));
}

Files.write(Paths.get("some_file.txt"), lines, Charset.defaultCharset());