无法使用Spark脚本将Spark数据集写入HBase

<dependency>
  <groupId>org.apache.hbase</groupId>
  <artifactId>hbase-client</artifactId>
  <version>${hbase.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.hbase</groupId>
  <artifactId>hbase-common</artifactId>
  <version>${hbase.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.hbase</groupId>
  <artifactId>hbase-server</artifactId>
  <version>${hbase.version}</version>
</dependency>

val conf = HBaseConfiguration.create()
conf.set("hbase.zookeeper.quorum", "zookeeper1,zookeeper2,zookeeper3")
conf.set("hbase.zookeeper.property.clientPort", "2181")

val tableName = "your_table_name"
val hbaseConf = HBaseContext(sc, conf)

val data = Seq(
  (1, "John"),
  (2, "Alice"),
  (3, "Bob")
)

val rdd = spark.sparkContext.parallelize(data)

rdd.foreachPartition { partition =>
  val conf = HBaseConfiguration.create()
  val connection = ConnectionFactory.createConnection(conf)
  val tableName = TableName.valueOf("your_table_name")
  val table = connection.getTable(tableName)

  partition.foreach { case (id, name) =>
    val put = new Put(Bytes.toBytes(id.toString))
    put.addColumn(Bytes.toBytes("cf"), Bytes.toBytes("name"), Bytes.toBytes(name))
    table.put(put)
  }

  table.close()
  connection.close()
}