Yesha Vora created SPARK-19158: ---------------------------------- Summary: ml.R example fails in yarn-cluster mode due to lacks of e1071 package Key: SPARK-19158 URL: https://issues.apache.org/jira/browse/SPARK-19158 Project: Spark Issue Type: Bug Components: Examples Reporter: Yesha Vora
ml.R application fails in spark2 with yarn-cluster mode. {code} spark-submit --master yarn-cluster examples/src/main/r/ml/ml.R {code} {code:title=application log} 17/01/03 04:35:30 INFO MemoryStore: Block broadcast_88 stored as values in memory (estimated size 6.8 KB, free 407.6 MB) 17/01/03 04:35:30 INFO BufferedStreamThread: Error : requireNamespace("e1071", quietly = TRUE) is not TRUE 17/01/03 04:35:30 ERROR Executor: Exception in task 0.0 in stage 65.0 (TID 65) org.apache.spark.SparkException: R computation failed with Error : requireNamespace("e1071", quietly = TRUE) is not TRUE at org.apache.spark.api.r.RRunner.compute(RRunner.scala:108) at org.apache.spark.api.r.BaseRRDD.compute(RRDD.scala:50) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 17/01/03 04:35:30 INFO CoarseGrainedExecutorBackend: Got assigned task 68 17/01/03 04:35:30 INFO Executor: Running task 3.0 in stage 65.0 (TID 68) 17/01/03 04:35:30 INFO BufferedStreamThread: Error : requireNamespace("e1071", quietly = TRUE) is not TRUE 17/01/03 04:35:30 ERROR Executor: Exception in task 3.0 in stage 65.0 (TID 68) org.apache.spark.SparkException: R computation failed with Error : requireNamespace("e1071", quietly = TRUE) is not TRUE Error : requireNamespace("e1071", quietly = TRUE) is not TRUE at org.apache.spark.api.r.RRunner.compute(RRunner.scala:108) at org.apache.spark.api.r.BaseRRDD.compute(RRDD.scala:50) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 17/01/03 04:35:30 INFO CoarseGrainedExecutorBackend: Got assigned task 70 {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