Created
November 12, 2015 01:25
-
-
Save randallwhitman/62f2ff80d73e921d178d to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
15/11/11 15:35:16 INFO Version: Elasticsearch Hadoop v2.1.2 [4decc4332a] | |
15/11/11 15:35:17 INFO EsRDDWriter: Writing to [test1447284876390/test1447284876390] | |
15/11/11 15:35:17 INFO ScalaEsRowRDD: Reading from [test1447284876390/test1447284876390] | |
15/11/11 15:35:17 INFO ScalaEsRowRDD: Discovered mapping {test1447284876390=[mappings=[test1447284876390=[rect=GEO_SHAPE]]]} for [test1447284876390/test1447284876390] | |
15/11/11 15:35:17 ERROR Executor: Exception in task 2.0 in stage 2.0 (TID 4) | |
org.elasticsearch.hadoop.EsHadoopIllegalStateException: Field 'rect' not found; typically this occurs with arrays which are not mapped as single value | |
at org.elasticsearch.spark.sql.RowValueReader$class.rowColumns(RowValueReader.scala:33) | |
at org.elasticsearch.spark.sql.ScalaRowValueReader.rowColumns(ScalaEsRowValueReader.scala:13) | |
at org.elasticsearch.spark.sql.ScalaRowValueReader.createMap(ScalaEsRowValueReader.scala:49) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.map(ScrollReader.java:644) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:587) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.map(ScrollReader.java:660) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:587) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.readHitAsMap(ScrollReader.java:382) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.readHit(ScrollReader.java:317) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:212) | |
at org.elasticsearch.hadoop.serialization.ScrollReader.read(ScrollReader.java:186) | |
at org.elasticsearch.hadoop.rest.RestRepository.scroll(RestRepository.java:408) | |
at org.elasticsearch.hadoop.rest.ScrollQuery.hasNext(ScrollQuery.java:86) | |
at org.elasticsearch.spark.rdd.AbstractEsRDDIterator.hasNext(AbstractEsRDDIterator.scala:43) | |
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) | |
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) | |
at scala.collection.Iterator$class.foreach(Iterator.scala:727) | |
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) | |
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) | |
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) | |
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) | |
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) | |
at scala.collection.AbstractIterator.to(Iterator.scala:1157) | |
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) | |
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) | |
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) | |
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) | |
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) | |
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) | |
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) | |
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) | |
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) | |
at org.apache.spark.scheduler.Task.run(Task.scala:70) | |
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) | |
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) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment