Yesha Vora created SPARK-19158:
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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}
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