[ZEPPELIN-3663] R Interpreter does not work in Zeppelin 0.7.3

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Affects Version/s: 0.7.3
• Component/s: r-interpreter
• Assignee: Unassigned
• Reporter: Oludare Famuyiwa
• Created: 25/Jul/18 16:32
• Updated: 14/Aug/18 07:29
• Resolved: 14/Aug/18 07:29

Description

We are unable to use R Interpreter via %spark.r or %r. The zeppelin throws Internal error processing getFormType

org.apache.zeppelin.interpreter.InterpreterException: org.apache.thrift.TApplicationException: Internal error processing getFormType at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getFormType(RemoteInterpreter.java:450) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.getFormType(LazyOpenInterpreter.java:111) at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:387) at org.apache.zeppelin.scheduler.Job.run(Job.java:175) at org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:329) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)

Excerpt of our interpreter.json

"2CBEJNFR7": {
      "id": "2CBEJNFR7",
      "name": "spark",
      "group": "spark",
      "properties": {
        "spark.executor.memory": "4g",
        "args": "",
        "zeppelin.spark.printREPLOutput": "true",
        "spark.cores.max": "3",
        "zeppelin.dep.additionalRemoteRepository": "spark-packages,http://dl.bintray.com/spark-packages/maven,false;",
        "zeppelin.spark.sql.stacktrace": "false",
        "zeppelin.spark.importImplicit": "true",
        "zeppelin.spark.concurrentSQL": "false",
        "zeppelin.spark.useHiveContext": "false",
        "zeppelin.pyspark.python": "python",
        "zeppelin.dep.localrepo": "local-repo",
        "spark.driver.memory": "4g",
        "spark.executor.uri": "/mnt/efs/service/roles/hmheng-cds/spark/libs/spark-2.2.0-bin-hadoop2.7.tgz",
        "zeppelin.interpreter.localRepo": "/opt/zeppelin/local-repo/2CBEJNFR7",
        "SPARK_HOME": "/opt/spark",
        "zeppelin.R.knitr": "true",
        "zeppelin.spark.maxResult": "1000",
        "zeppelin.interpreter.output.limit": "102400",
        "master": "mesos://zk://********/mesos/master",
        "spark.app.name": "zeppelin.notebook.spark",
        "zeppelin.R.image.width": "100%",
        "zeppelin.R.render.options": "out.format \u003d \u0027html\u0027, comment \u003d NA, echo \u003d FALSE, results \u003d \u0027asis\u0027, message \u003d F, warning \u003d F",
        "zeppelin.R.cmd": "R"
      },
      "status": "READY",
      "interpreterGroup": [
        {
          "name": "spark",
          "class": "org.apache.zeppelin.spark.SparkInterpreter",
          "defaultInterpreter": true,
          "editor": {
            "language": "scala"
          }
        },
        {
          "name": "sql",
          "class": "org.apache.zeppelin.spark.SparkSqlInterpreter",
          "defaultInterpreter": false,
          "editor": {
            "language": "sql"
          }
        },
        {
          "name": "dep",
          "class": "org.apache.zeppelin.spark.DepInterpreter",
          "defaultInterpreter": false,
          "editor": {
            "language": "scala"
          }
        },
        {
          "name": "pyspark",
          "class": "org.apache.zeppelin.spark.PySparkInterpreter",
          "defaultInterpreter": false,
          "editor": {
            "language": "python"
          }
        },
        {
          "name": "r",
          "class": "org.apache.zeppelin.spark.SparkRInterpreter",
          "defaultInterpreter": false,
          "editor": {
            "language": "r"
          }
        }
      ],

Thanks