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 <[email protected]>
收件人：[email protected]
抄送人：亘谷 <[email protected]>
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 <[email protected]> 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, <[email protected]> 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
