Hi, Can you provide more logs to help us understand whats going on?
One note regarding your application: You are calling .collect() and send the collection with the map() call to the cluster again. This is pretty inefficient and can potentially break your application (in particular the RPC system of Flink). I would recommend to use broadcast variables to send the dataset to the map operator: https://cwiki.apache.org/confluence/display/FLINK/Variables+Closures+vs.+Broadcast+Variables On Thu, Mar 23, 2017 at 3:11 PM, <rimin...@sina.cn> wrote: > Hi ,alll, > i have a 36000 documents,and the document all transfer a vector , one doc > is a vector,and dimension is the same,so have DataSet > ------------------------ > val data :DataSet[(String,SparseVector)]= ....//36000 record > val toData = data.collect() > val docSims = data.map{x=> > val fromId=x._1 > val docsims = toData.filter{y=>y._1!=fromId}.map{y=> > val score =1- cosDisticnce(x._2,y._2) > (y._1,score) > }.toList.sortWith{(a,b)=>a._2>b._2}.take(20) > (fromId,docsims) > } > docSims.writeAsText(file) > ..... > when run the job on yarn,it will get error ,the message is following: > java.lang.InterruptedException at java.util.concurrent.locks. > AbstractQueuedSynchronizer$ConditionObject.reportInterruptAfterWait( > AbstractQueuedSynchronizer.java:2017) > at java.util.concurrent.locks.AbstractQueuedSynchronizer$ > ConditionObject.await(AbstractQueuedSynchronizer.java:2052) > at java.util.concurrent.LinkedBlockingQueue.take( > LinkedBlockingQueue.java:442) > at org.apache.hadoop.yarn.client.api.async.impl. > AMRMClientAsyncImpl$CallbackHandlerThread.run( > AMRMClientAsyncImpl.java:274) > > > someone can tell me ?thank you
