:29: error: overloaded method value join with alternatives:(right: org.apache.spark.sql.Dataset[_],joinExprs: org.apache.spark.sql.Column)org.apache.spark.sql.DataFrame

在scala中執行如下代碼，報 join 錯誤！！

scala> val data = itemTotalTime.join(totalTime, "userId")

　　錯誤日志如下：

<console>:29: error: overloaded method value join with alternatives:
  
  (right: org.apache.spark.sql.Dataset[_],usingColumns: Seq[String])org.apache.spark.sql.DataFrame <and>
  (right: org.apache.spark.sql.Dataset[_],usingColumn: String)org.apache.spark.sql.DataFrame
 cannot be applied to (Unit, String)
           val data = itemTotalTime.join(totalTime, "userId")
                                    ^

　　

 

 

分析：應該是join的一邊是DataFram 一邊是Dataset 的原因，我把這兩個 itemTotalTime、totalTime 都  .toDF 了一下就好了

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