星火斯卡拉 - 由VertexID

2017-04-04 102 views -1 likes

-1

scala> cPV.take(5) 
res18: Array[(org.apache.spark.graphx.VertexId, String)] = Array((-496366541,7804412), (183389035,11517829), (1300761459,36164965), (978932066,32135154), (370291237,40355685)) 

scala> fC.take(5) 
res19: Array[(org.apache.spark.graphx.VertexId, Int)] = Array((386253628,1), (-1141923433,1), (1871855296,7), (1938255756,1), (-749015657,5))

我需要加入他们进入的格式 - Array[(org.apache.spark.graphx.VertexId, Int, String)]

我都试过。加入（），但它抛出以下错误

val mVP = fC.join(cPV) 
<console>:64: error: value join is not a member of Array[(org.apache.spark.graphx.VertexId, Int)] 
     val mVP = fC.join(cPV)

我也试过this，它没有工作。

来源

2017-04-04 Nagesh

回答

我尝试了以下内容和它的工作

val fCRDD = sc.parallelize(fC) 
scala> val mVP = fCRDD.join(cPV) 
mVP: org.apache.spark.rdd.RDD[(org.apache.spark.graphx.VertexId, (Int, String))] = MapPartitionsRDD[106] at join at <console>:67 

scala> mVP.take(5) 
res21: Array[(org.apache.spark.graphx.VertexId, (Int, String))] = Array((-891966589,(4,D)), (166544732,(74,V)), (1871855296,(7,LG)), (1416009424,(6,Dck)), (-241988197,(4,L)))

对不起，这里菜鸟 - 我应该在这里张贴问题之前已经试过这一点。

来源

2017-04-04 05:26:08 Nagesh

星火斯卡拉 - 由VertexID

回答

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