我试图在flink中进行pagerank基本示例,稍加修改(仅在读取输入文件时,其他一切都是相同的)我得到错误,因为任务不可序列化,下面是输出错误的一部分
atorg.apache.flink.api.scala.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:179)
at org.apache.flink.api.scala.ClosureCleaner$.clean(ClosureCleaner.scala:171)
以下是我的代码
object hpdb { def main(args: Array[String]) { val env = ExecutionEnvironment.getExecutionEnvironment val maxIterations = 10000 val damPENING_FACTOR: Double = 0.85 val EPSILON: Double = 0.0001 val outpath = "/home/vinoth/bigdata/assign10/pagerank.csv" val links = env.readCsvFile[Tuple2[Long,Long]]("/home/vinoth/bigdata/assign10/ppi.csv",fieldDelimiter = "\t",includedFields = Array(1,4)).as('sourceId,'targetId).toDataSet[Link]//source and target val pages = env.readCsvFile[Tuple1[Long]]("/home/vinoth/bigdata/assign10/ppi.csv",includedFields = Array(1)).as('pageId).toDataSet[Id]//Pageid val noOfPages = pages.count() val pagesWithRanks = pages.map(p => Page(p.pageId,1.0 / noOfPages)) val adjacencyLists = links // initialize lists ._1 is the source id and ._2 is the traget id .map(e => AdjacencyList(e.sourceId,Array(e.targetId))) // concatenate lists .groupBy("sourceId").reduce { (l1,l2) => AdjacencyList(l1.sourceId,l1.targetIds ++ l2.targetIds) } // start iteration val finalRanks = pagesWithRanks.iterateWithTermination(maxIterations) { // **//the output shows error here** currentRanks => val newRanks = currentRanks // distribute ranks to target pages .join(adjacencyLists).where("pageId").equalTo("sourceId") { (page,adjacent,out: Collector[Page]) => for (targetId <- adjacent.targetIds) { out.collect(Page(targetId,page.rank / adjacent.targetIds.length)) } } // collect ranks and sum them up .groupBy("pageId").aggregate(SUM,"rank") // apply dampening factor //**//the output shows error here** .map { p => Page(p.pageId,(p.rank * damPENING_FACTOR) + ((1 - damPENING_FACTOR) / pages.count())) } // terminate if no rank update was significant val termination = currentRanks.join(newRanks).where("pageId").equalTo("pageId") { (current,next,out: Collector[Int]) => // check for significant update if (math.abs(current.rank - next.rank) > EPSILON) out.collect(1) } (newRanks,termination) } val result = finalRanks // emit result result.writeAsCsv(outpath,"\n"," ") env.execute() } }
任何正确方向的帮助都受到高度赞赏?谢谢.