遇到问题--spark-scala---Cannot resolve overloaded method ‘udf‘--Defines a Scala closure of 11 arguments

Posted 2022-12-14 张小凡vip

情况

我们在使用spark进行运算时，经常需要使用udf进行自定义函数。

当我们自定义的函数参数个数小于等于10个时，udf能够正常编译运行。

例如

    val makeParams: (String, String, String, String, String, String, String, String, String, String) => TestProperty
    = (orderId: String, barcode: String, deliveryId: String, mailNo: String, expressCode: String, platformCode: String, areaName: String, productId: String, skuId: String, shopName: String String) => 

      val TestEvent: TestProperty = new TestProperty(orderId, barcode, deliveryId, mailNo, expressCode, platformCode, areaName, productId, skuId, shopName)

      TestEvent

    

    val make_params = udf(makeParams)

val result = waitWriteDataFrame
  .withColumn("properties", make_params(\'orderId, \'barcode, \'deliveryId, \'mailNo, \'expressCode, \'platformCode, \'areaName, \'productId, \'skuCode))
  .withColumn("type", lit("track"))
  .withC