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Qi Dai commented on SPARK-13289: -------------------------------- I'm trying to test it with the current master branch and nightly build with yarn, but spark always fail to start with the java.lang.ClassNotFoundException: org.apache.spark.deploy.yarn.history.YarnHistoryService issue. Does anyone have any idea about this? Looks like no one is reporting this issue. Should I raise another new issue about this? The stack is like this: java.lang.ClassNotFoundException: org.apache.spark.deploy.yarn.history.YarnHistoryService at scala.reflect.internal.util.AbstractFileClassLoader.findClass(AbstractFileClassLoader.scala:62) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:348) at org.apache.spark.util.Utils$.classForName(Utils.scala:177) at org.apache.spark.scheduler.cluster.SchedulerExtensionServices$$anonfun$start$5.apply(SchedulerExtensionService.scala:109) at org.apache.spark.scheduler.cluster.SchedulerExtensionServices$$anonfun$start$5.apply(SchedulerExtensionService.scala:108) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:74) at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.scheduler.cluster.SchedulerExtensionServices.start(SchedulerExtensionService.scala:108) at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.start(YarnSchedulerBackend.scala:81) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144) at org.apache.spark.SparkContext.<init>(SparkContext.scala:501) at org.apache.spark.repl.Main$.createSparkContext(Main.scala:89) ... 48 elided java.lang.NullPointerException at org.apache.spark.sql.SQLContext$.createListenerAndUI(SQLContext.scala:1036) at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:91) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:422) at org.apache.spark.repl.Main$.createSQLContext(Main.scala:99) ... 48 elided <console>:13: error: not found: value sqlContext import sqlContext.implicits._ ^ <console>:13: error: not found: value sqlContext import sqlContext.sql ^ > Word2Vec generate infinite distances when numIterations>5 > --------------------------------------------------------- > > Key: SPARK-13289 > URL: https://issues.apache.org/jira/browse/SPARK-13289 > Project: Spark > Issue Type: Bug > Components: MLlib > Affects Versions: 1.6.0 > Environment: Linux, Scala > Reporter: Qi Dai > Labels: features > > I recently ran some word2vec experiments on a cluster with 50 executors on > some large text dataset but find out that when number of iterations is larger > than 5 the distance between words will be all infinite. My code looks like > this: > val text = sc.textFile("/project/NLP/1_biliion_words/train").map(_.split(" > ").toSeq) > import org.apache.spark.mllib.feature.{Word2Vec, Word2VecModel} > val word2vec = new > Word2Vec().setMinCount(25).setVectorSize(96).setNumPartitions(99).setNumIterations(10).setWindowSize(5) > val model = word2vec.fit(text) > val synonyms = model.findSynonyms("who", 40) > for((synonym, cosineSimilarity) <- synonyms) { > println(s"$synonym $cosineSimilarity") > } > The results are: > to Infinity > and Infinity > that Infinity > with Infinity > said Infinity > it Infinity > by Infinity > be Infinity > have Infinity > he Infinity > has Infinity > his Infinity > an Infinity > ) Infinity > not Infinity > who Infinity > I Infinity > had Infinity > their Infinity > were Infinity > they Infinity > but Infinity > been Infinity > I tried many different datasets and different words for finding synonyms. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org