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  • Hello, I'm unable to find similar issues what I'm experiencing. I'm using CDH5.0.1 and Spark in Cloudera Manager 5.0.1. I compiled SparkR with SPARK_HADOOP_VERSION=2.3.0-mr1-cdh5.0.1 ./install-dev.sh OS is Red Hat 6.3. I have 4 hosts and installed R on all of them. SparkR is only installed on 1 of them. Full Error: Loading required package: SparkR Loading required package: methods Loading required package: rJava [SparkR] Initializing with classpath /usr/local/lib64/R/library/SparkR/sparkr-assembly-0.1.jar 14/06/25 20:11:06 INFO Slf4jLogger: Slf4jLogger started 14/06/25 20:11:07 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 14/06/25 20:11:09 INFO FileInputFormat: Total input paths to process : 1 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 0 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Loss was due to java.io.IOException java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) at edu.berkeley.cs.amplab.sparkr.RRDD.compute(RRDD.scala:105) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109) at org.apache.spark.scheduler.Task.run(Task.scala:53) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) at org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) 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:722) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 1 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 2 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 3 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 4 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 5 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 6 (task 0.0:0) 14/06/25 20:11:11 ERROR TaskSetManager: Task 0.0:0 failed 4 times; aborting job Error in .jcall(getJRDD(rdd), "Ljava/util/List;", "collect") : org.apache.spark.SparkException: Job aborted: Task 0.0:0 failed 4 times (most recent failure: Exception failure: java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory) Calls: count ... collect -> collect -> .local -> .jcall -> .jcheck -> .Call Execution halted My test R scripts is below: require(SparkR) Sys.setenv(MASTER="<HOST>:7077") Sys.setenv(SPARK_HOME="/hadoop/cloudera/parcels/CDH-5.0.1-1.cdh5.0.1.p0.47/lib/spark/") Sys.setenv(SCALA_HOME="/hadoop/cloudera/parcels/CDH-5.0.1-1.cdh5.0.1.p0.47/lib/spark/lib") sc <- sparkR.init(Sys.getenv("MASTER")) lines <- textFile(sc, "hdfs://mike-flume1.amers1b.ciscloud/user/hdfs/data.txt") count(lines) wordsPerLine <- lapply(lines, function(line) { length(unlist(strsplit(line, " "))) }) collect(wordsPerLine) Any help would be appreciated.
    via by May,
  • Hello, I'm unable to find similar issues what I'm experiencing. I'm using CDH5.0.1 and Spark in Cloudera Manager 5.0.1. I compiled SparkR with SPARK_HADOOP_VERSION=2.3.0-mr1-cdh5.0.1 ./install-dev.sh OS is Red Hat 6.3. I have 4 hosts and installed R on all of them. SparkR is only installed on 1 of them. Full Error: Loading required package: SparkR Loading required package: methods Loading required package: rJava [SparkR] Initializing with classpath /usr/local/lib64/R/library/SparkR/sparkr-assembly-0.1.jar 14/06/25 20:11:06 INFO Slf4jLogger: Slf4jLogger started 14/06/25 20:11:07 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 14/06/25 20:11:09 INFO FileInputFormat: Total input paths to process : 1 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 0 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Loss was due to java.io.IOException java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) at edu.berkeley.cs.amplab.sparkr.RRDD.compute(RRDD.scala:105) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109) at org.apache.spark.scheduler.Task.run(Task.scala:53) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) at org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) 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:722) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 1 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 2 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 3 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 4 (task 0.0:0) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 5 (task 0.0:1) 14/06/25 20:11:11 WARN TaskSetManager: Lost TID 6 (task 0.0:0) 14/06/25 20:11:11 ERROR TaskSetManager: Task 0.0:0 failed 4 times; aborting job Error in .jcall(getJRDD(rdd), "Ljava/util/List;", "collect") : org.apache.spark.SparkException: Job aborted: Task 0.0:0 failed 4 times (most recent failure: Exception failure: java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory) Calls: count ... collect -> collect -> .local -> .jcall -> .jcheck -> .Call Execution halted My test R scripts is below: require(SparkR) Sys.setenv(MASTER="<HOST>:7077") Sys.setenv(SPARK_HOME="/hadoop/cloudera/parcels/CDH-5.0.1-1.cdh5.0.1.p0.47/lib/spark/") Sys.setenv(SCALA_HOME="/hadoop/cloudera/parcels/CDH-5.0.1-1.cdh5.0.1.p0.47/lib/spark/lib") sc <- sparkR.init(Sys.getenv("MASTER")) lines <- textFile(sc, "hdfs://mike-flume1.amers1b.ciscloud/user/hdfs/data.txt") count(lines) wordsPerLine <- lapply(lines, function(line) { length(unlist(strsplit(line, " "))) }) collect(wordsPerLine) Any help would be appreciated.
    via by May,
  • RE: Cannot run program "Rscript" using SparkR
    via by Unknown author,
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  • Getting Below Warns When Am Migrating To Jboss 7?
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    • java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) at edu.berkeley.cs.amplab.sparkr.RRDD.compute(RRDD.scala:105) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109) at org.apache.spark.scheduler.Task.run(Task.scala:53) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) at org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) 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:722)

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