java.io.IOException: org.apache.accumulo.core.client.AccumuloException: Table is online geomesa(e) cannot scan table in offline mode

locationtech.org | 4 weeks ago
  1. 0

    Re: [geomesa-users] Problem with spark example

    locationtech.org | 4 weeks ago
    java.io.IOException: org.apache.accumulo.core.client.AccumuloException: Table is online geomesa(e) cannot scan table in offline mode
  2. 0

    GitHub comment 28#49364590

    GitHub | 2 years ago | mikelieberman
    org.apache.accumulo.core.client.AccumuloException: org.apache.thrift.TApplicationException: Invalid method name: 'authenticate'
  3. 0

    org.apache.thrift: Invalid method name: 'authenticate'

    Stack Overflow | 3 years ago | bdparrish
    org.apache.accumulo.core.client.AccumuloException: org.apache.thrift.TApplicationException: Invalid method name: 'authenticate'
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    Root Cause Analysis

    1. org.apache.accumulo.core.client.AccumuloException

      Table is online geomesa(e) cannot scan table in offline mode

      at org.apache.accumulo.core.client.mapreduce.InputFormatBase.binOfflineTable()
    2. Core
      InputFormatBase.getSplits
      1. org.apache.accumulo.core.client.mapreduce.InputFormatBase.binOfflineTable(InputFormatBase.java:712)
      2. org.apache.accumulo.core.client.mapreduce.InputFormatBase.getSplits(InputFormatBase.java:841)
      2 frames
    3. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:90)
      2. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
      3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
      3 frames
    4. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    5. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
      2. org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
      3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
      4. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
      4 frames
    6. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    7. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
      2. org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
      3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
      4. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
      4 frames
    8. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    9. Spark
      RDD.count
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
      2. org.apache.spark.SparkContext.runJob(SparkContext.scala:1094)
      3. org.apache.spark.rdd.RDD.count(RDD.scala:847)
      3 frames
    10. com.apex
      CEngine$class.run
      1. com.apex.CEngine$class.run(CEngine.scala:49)
      1 frame
    11. runnables
      GeomesaInputRunnable.run
      1. runnables.GeomesaInputRunnable.run(GeomesaInputRunnable.scala:36)
      1 frame
    12. com.apex
      CRun.main
      1. com.apex.CRun$.runJob(CRun.scala:120)
      2. com.apex.CRun$.run(CRun.scala:105)
      3. com.apex.CRun$.main(CRun.scala:49)
      4. com.apex.CRun.main(CRun.scala)
      4 frames
    13. Java RT
      Method.invoke
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      4. java.lang.reflect.Method.invoke(Method.java:606)
      4 frames
    14. Spark
      SparkSubmit.main
      1. org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:292)
      2. org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
      3. org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
      3 frames