我无法将数据从spark中的dataframe传输到我创建的hbase表。问题似乎是，根据在线示例，这种方法只能处理多个数据集，但我有一个包含信息的数据框架。请帮帮我！
//hbase表

create 'weatherHB', 'STATIONID','OBSERVATIONTS','TEMPERATURE'

def catalog = s"""{
   "table":{"namespace":"default", "name":"weatherHB"},
   "rowkey":"key",
   "columns":{
   "RecordID":{"cf":"RecordID","col":"key","type":"string"},
   "StationID":{"cf":"STATIONID","col":"stationID","type":"string"},
   "ObservationTSMonth":{"cf":"OBSERVATIONTS","col":"observationTSMonth","type":"string"},
   "ObservationTSDay":{"cf":"OBSERVATIONTS","col":"observationTSDay","type":"string"},
   "ObservationTSHour":{"cf":"OBSERVATIONTS","col":"observationTSHour","type":"string"},
   "Temperature":{"cf":"TEMPERATURE","col":"temp","type":"string"}
   }
   }""".stripMargin

   case class TempHeader(
   recordId: String,
   station: String,
   month: String,
   date: String,
   hour: String,
   temperature: Double)

   import spark.implicits._

   val weatherDF = spark.sparkContext.textFile("1902").
   map(
   rec => List (
   rec.substring(1,26).trim(),
   rec.substring(4,10).trim(),
   rec.substring(19,21).trim(),
   rec.substring(21,23).trim(),
   rec.substring(23,25).trim(),
   rec.substring(87,92).trim()
   ) ).
   map( att => TempHeader( att(0), att(1), att(2), att(3), att(4), (att(5).trim.toDouble)/10)).toDF()

   weatherDF.printSchema()

   weatherDF.createOrReplaceTempView("TEMP")

   val query = spark.sql("""SELECT month, max(temperature), min(temperature), avg(temperature) FROM TEMP GROUP BY month ORDER by month""".stripMargin)
   query.show(10)

   import org.apache.spark.sql.execution.datasources.hbase._

   weatherDF.write.options(Map(HBaseTableCatalog.tableCatalog -> catalog, HBaseTableCatalog.newTable -> "6")).format(
   "org.apache.spark.sql.execution.datasources.hbase").save()