org.elasticsearch.hadoop.EsHadoopIllegalStateException: Position for 'e.f.g' not found in row; typically this is caused by a mapping inconsistency

GitHub | jimmyjones2 | 2 months ago
  1. 0

    Dots in field names exception

    GitHub | 2 months ago | jimmyjones2
    org.elasticsearch.hadoop.EsHadoopIllegalStateException: Position for 'e.f.g' not found in row; typically this is caused by a mapping inconsistency
  2. 0

    Position for 'field' not found in row; typically this is caused by a mapping inconsistency

    GitHub | 11 months ago | zlosim
    org.elasticsearch.hadoop.EsHadoopIllegalStateException: Position for 'static.region' not found in row; typically this is caused by a mapping inconsistency
  3. 0

    GitHub comment 607#175312965

    GitHub | 10 months ago | randallwhitman
    org.elasticsearch.hadoop.EsHadoopIllegalStateException: Position for 'rect.crs' not found in row; typically this is caused by a mapping inconsistency
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  5. 0

    select from dataframe fails when array element contains a nested object

    GitHub | 8 months ago | nimiby
    org.elasticsearch.hadoop.EsHadoopIllegalStateException: Position for 'arr_key.obj_key.key_2' not found in row; typically this is caused by a mapping inconsistency
  6. 0

    Spark-sql does not seem to read from a nested schema - Hadoop and Elasticsearch - Discuss Elasticsearch, Logstash and Kibana | Elastic

    elastic.co | 1 year ago
    org.elasticsearch.hadoop.EsHadoopIllegalStateException: Field 'name' not found; typically this occurs with arrays which are not mapped as single value

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    Root Cause Analysis

    1. org.elasticsearch.hadoop.EsHadoopIllegalStateException

      Position for 'e.f.g' not found in row; typically this is caused by a mapping inconsistency

      at org.elasticsearch.spark.sql.RowValueReader$class.addToBuffer()
    2. Elasticsearch Spark
      ScalaRowValueReader.addToMap
      1. org.elasticsearch.spark.sql.RowValueReader$class.addToBuffer(RowValueReader.scala:45)
      2. org.elasticsearch.spark.sql.ScalaRowValueReader.addToBuffer(ScalaEsRowValueReader.scala:14)
      3. org.elasticsearch.spark.sql.ScalaRowValueReader.addToMap(ScalaEsRowValueReader.scala:94)
      3 frames
    3. Elasticsearch Hadoop
      ScrollQuery.hasNext
      1. org.elasticsearch.hadoop.serialization.ScrollReader.map(ScrollReader.java:806)
      2. org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:696)
      3. org.elasticsearch.hadoop.serialization.ScrollReader.map(ScrollReader.java:806)
      4. org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:696)
      5. org.elasticsearch.hadoop.serialization.ScrollReader.readHitAsMap(ScrollReader.java:466)
      6. org.elasticsearch.hadoop.serialization.ScrollReader.readHit(ScrollReader.java:391)
      7. org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:286)
      8. org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:259)
      9. org.elasticsearch.hadoop.rest.RestRepository.scroll(RestRepository.java:365)
      10. org.elasticsearch.hadoop.rest.ScrollQuery.hasNext(ScrollQuery.java:92)
      10 frames
    4. Elasticsearch Spark
      AbstractEsRDDIterator.hasNext
      1. org.elasticsearch.spark.rdd.AbstractEsRDDIterator.hasNext(AbstractEsRDDIterator.scala:43)
      1 frame
    5. Scala
      AbstractIterator.toArray
      1. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      2. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      3. scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
      4. scala.collection.Iterator$class.foreach(Iterator.scala:727)
      5. scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
      6. scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
      7. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
      8. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
      9. scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
      10. scala.collection.AbstractIterator.to(Iterator.scala:1157)
      11. scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
      12. scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
      13. scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
      14. scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
      14 frames
    6. Spark Project SQL
      SparkPlan$$anonfun$5.apply
      1. org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:212)
      2. org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:212)
      2 frames
    7. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
      2. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
      3. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      4. org.apache.spark.scheduler.Task.run(Task.scala:89)
      5. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
      5 frames
    8. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames