[ https://issues.apache.org/jira/browse/SPARK-32315?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32315: ------------------------------------ Assignee: Apache Spark > Provide an explanation error message when calling require > --------------------------------------------------------- > > Key: SPARK-32315 > URL: https://issues.apache.org/jira/browse/SPARK-32315 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 3.0.0 > Reporter: dzlabs > Assignee: Apache Spark > Priority: Minor > > When requirement checks inside `MLibUtils.fastSquaredDistance` are not met a > non useful exception is thrown > ``` > Caused by: java.lang.IllegalArgumentException: requirement failedCaused by: > java.lang.IllegalArgumentException: requirement failed at > scala.Predef$.require(Predef.scala:212) at > org.apache.spark.mllib.util.MLUtils$.fastSquaredDistance(MLUtils.scala:508) > at > org.apache.spark.mllib.clustering.EuclideanDistanceMeasure$.fastSquaredDistance(DistanceMeasure.scala:232) > at > org.apache.spark.mllib.clustering.EuclideanDistanceMeasure.isCenterConverged(DistanceMeasure.scala:190) > at > org.apache.spark.mllib.clustering.KMeans$$anonfun$runAlgorithm$4.apply(KMeans.scala:336) > at > org.apache.spark.mllib.clustering.KMeans$$anonfun$runAlgorithm$4.apply(KMeans.scala:334) > at > scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245) > at > scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245) > at > scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) > at > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130) > at > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130) > at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236) > at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40) at > scala.collection.mutable.HashMap.foreach(HashMap.scala:130) at > scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) > at scala.collection.MapLike$MappedValues.foreach(MapLike.scala:245) at > org.apache.spark.mllib.clustering.KMeans.runAlgorithm(KMeans.scala:334) at > org.apache.spark.mllib.clustering.KMeans.run(KMeans.scala:251) at > org.apache.spark.mllib.clustering.KMeans.run(KMeans.scala:233) > ``` > This is happening in the following lines. Please add more useful information > to the error message when the requirements are not met > [https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala#L537-L538] > > Example: > ``` > require(v2.size == n, s"Both vectors should have same length, found v1 is $n > while v2 is ${v2.size}") > require(norm1 >= 0.0 && norm2 >= 0.0, "Both norms should be greater or equal > to 0.0, found norm1=${norm1}, norm2=${norm2}") > ``` -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org