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From <rimin...@sina.cn>
Subject 回复:Re: flink Broadcast
Date Fri, 24 Mar 2017 09:59:52 GMT
yes,it is YARN single job,use the commend:
flink-1.1.1/bin/flink run -m yarn-cluster \-yn 2 \-ys 2 \-yjm 2048 \-ytm 2048 \--class statics.ComputeDocSim
\--classpath file:///opt/cloudera/parcels/CDH/lib/hbase/hbase-client.jar \--classpath file:///opt/cloudera/parcels/CDH/lib/hbase/hbase-protocol.jar
\--classpath file:///opt/cloudera/parcels/CDH/lib/hbase/hbase-common.jar \--classpath file:///opt/cloudera/parcels/CDH/jars/htrace-core-3.1.0-incubating.jar
\--classpath file:///opt/cloudera/parcels/CDH/lib/hbase/lib/guava-12.0.1.jar \text-assembly-0.1.0.jar
hdfs:///user/hadoop/tf-idf-ex hdfs:///user/hadoop/tf-idf-ex-sims
and code is: val to = //DataSet[(String, Vector)] val to = from.collect() val cosDistince
= CosineDistanceMetric.apply() val res = from.map{x=>          val fromId = x._1      
   val docSims = to.filter(_._1!=fromId).map{y=>            val toId = y._1           
          val score = 1-cosDistince.distance(x._2, y._2)            (toId,score)         
}.toList.sortWith((x,y)=>x._2>y._2).take(20)         (fromId,docSims)       }res.writeAsText(..)
----- 原始邮件 -----
发件人:Stephan Ewen <sewen@apache.org>
收件人:user@flink.apache.org
抄送人:亘谷 <rimin515@sina.cn>
主题:Re: flink Broadcast
日期:2017年03月24日 17点40分

The program consists of two executions - one that only collects() back to the client, one
that executes the map function.
Are you running this as a "YARN single job" execution? IN that case, there may be an issue
that this incorrectly tries to submit to a stopping YARN cluster.


On Fri, Mar 24, 2017 at 10:32 AM, Robert Metzger <rmetzger@apache.org> wrote:
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,  <rimin515@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




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