Spark读写Hbase中的数据

def main(args: Array[String])  {
    val sparkConf = new SparkConf().setMaster("local").setAppName("cocapp").set("spark.kryo.registrator", classOf[HBaseConfiguration].getName)
      .set("spark.executor.memory", "4g")
    val sc: SparkContext = new SparkContext(sparkConf)
    val sqlContext = new HiveContext(sc)
    val mySQLUrl = "jdbc:mysql://localhost:3306/yangsy?user=root&password=yangsiyi"
    val rows = sqlContext.jdbc(mySQLUrl, "person")
    val tableName = "spark"
    val columnFamily = "cf" //rows.first().getString(1)
    val configuration = HBaseConfiguration.create();
    configuration.set(TableInputFormat.INPUT_TABLE, "test");
    val admin = new HBaseAdmin(configuration)
    val hBaseRDD = sc.newAPIHadoopRDD(configuration, classOf[TableInputFormat],
        classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
    classOf[org.apache.hadoop.hbase.client.Result])
      hBaseRDD.count()

def toHbase(rows: DataFrame,tableName : String,columnFamily: String)   {
    val configuration = HBaseConfiguration.create();
    val admin = new HBaseAdmin(configuration)
    if (admin.tableExists(tableName)) {
      print("table Exists")
      admin.disableTable(tableName);
      admin.deleteTable(tableName);
    }
    configuration.addResource("hbase-site.xml")
    val tableDesc = new HTableDescriptor(tableName)
    tableDesc.addFamily(new HColumnDescriptor(columnFamily))
    admin.createTable(tableDesc)
    rows.foreachPartition { row =>
      val table = new HTable(configuration, tableName)

      row.foreach { a =>
        val put = new Put(Bytes.toBytes("row1"))
        put.add(Bytes.toBytes(columnFamily), Bytes.toBytes("coulumn1"), Bytes.toBytes(a.getString(0)))
        table.put(put)
        println("insert into success")
      }
    }