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RJ Nowling commented on SPARK-4158: ----------------------------------- I verified that the associated patch fixes this issue on our local cluster running Spark 1.1.0 and Mesos 0.21. > Spark throws exception when Mesos resources are missing > ------------------------------------------------------- > > Key: SPARK-4158 > URL: https://issues.apache.org/jira/browse/SPARK-4158 > Project: Spark > Issue Type: Bug > Components: Mesos > Affects Versions: 1.1.0 > Reporter: Brenden Matthews > > Spark throws an exception when trying to check resources which haven't been > offered by Mesos. This is an error in Spark, and should be corrected as > such. Here's a sample: > {code} > val data Exception in thread "Thread-41" java.lang.IllegalArgumentException: > No resource called cpus in [name: "mem" > type: SCALAR > scalar { > value: 2067.0 > } > role: "*" > , name: "disk" > type: SCALAR > scalar { > value: 900.0 > } > role: "*" > , name: "ports" > type: RANGES > ranges { > range { > begin: 31000 > end: 32000 > } > } > role: "*" > ] > at > org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackend.org$apache$spark$scheduler$cluster$mesos$CoarseMesosSchedulerBackend$$getResource(CoarseMesosSchedulerBackend.scala:236) > at > org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackend$$anonfun$resourceOffers$1.apply(CoarseMesosSchedulerBackend.scala:200) > at > org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackend$$anonfun$resourceOffers$1.apply(CoarseMesosSchedulerBackend.scala:197) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at > org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackend.resourceOffers(CoarseMesosSchedulerBackend.scala:197) > {code} -- 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