【Spark】DStream轉DataFrame

1. 使用split(",")分割數據，前提是你的數據是以逗號分隔的；
2. 分隔後得到Array，根據索引獲取對應的值，且== 一定要轉換爲數據表對應字段的數據類型==；
3. toDF()，裏面填寫表的字段名
4. saveToPhoenix() 這個是通過Phoenix保存到HBase的操作

val stream = context("heatData")
val sqlContext = sparkSession.sqlContext
import org.apache.phoenix.spark._
import sqlContext.implicits._
stream.foreachRDD(rdd => {
 rdd.map(_.value().split(","))
   .map(item => (
     item(0).toInt,
     item(1).toInt,
     item(2).toDouble,
     item(3).toDouble,
     item(4).toDouble,
     item(5).toLong) )
   .toDF("ID", "CONSUMERID", "TEMPERATURE", "PRESSURE", "FLOW", "CREATEDATE")
   .saveToPhoenix(Map("table" -> "heatData", "zkUrl" -> "hbase:2181"))