Scala:GraphX:error:class Array接受类型参数

问题描述 投票:0回答:1

我正在尝试为GraphX构建Edge RDD。我正在读取csv文件并转换为DataFrame然后尝试转换为Edge RDD:

val staticDataFrame = spark.
  read.
  option("header", true).
  option("inferSchema", true).
  csv("/projects/pdw/aiw_test/aiw/haris/Customers_DDSW-withDN$.csv")

val edgeRDD: RDD[Edge[(VertexId, VertexId, String)]]  = 
  staticDataFrame.select(
    "dealer_customer_number",
    "parent_dealer_cust_number",
    "dealer_code"
  ).map{ (row: Array) => 
    Edge((
      row.getAs[Long]("dealer_customer_number"), 
      row.getAs[Long]("parent_dealer_cust_number"),
      row("dealer_code")
    ))
  }

但是我收到了这个错误:

<console>:81: error: class Array takes type parameters
       val edgeRDD: RDD[Edge[(VertexId, VertexId, String)]]  = staticDataFrame.select("dealer_customer_number", "parent_dealer_cust_number", "dealer_code").map((row: Array) => Edge((row.getAs[Long]("dealer_customer_number"), row.getAs[Long]("parent_dealer_cust_number"), row("dealer_code"))))
                                                                                                                                                                      ^

结果

staticDataFrame.select("dealer_customer_number", "parent_dealer_cust_number", "dealer_code").take(1)

res3: Array[org.apache.spark.sql.Row] = Array([0000101,null,B110])
scala apache-spark spark-graphx
1个回答
0
投票

首先,Array采用类型参数,因此您必须编写Array[Something]。但这可能不是你想要的。

数据框是一个qazxsw poi,而不是qazxsw poi,因此你必须改变

Dataset[Row]

Dataset[Array[_]]

或者只是完全省略输入(应该推断):

.map{ (row: Array) => 
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