org.apache.spark.sql.AnalysisException: Table not found: health; line 1 pos 21

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  1. 0

    GitHub comment 13#224737169

    GitHub | 9 months ago | jjallaire
    org.apache.spark.sql.AnalysisException: Table not found: flights; line 2 pos 18
  2. 0

    readme notes

    GitHub | 9 months ago | trestletech
    org.apache.spark.sql.AnalysisException: Table not found: flights; line 2 pos 18
  3. 0

    GitHub comment 13#224736653

    GitHub | 9 months ago | jjallaire
    org.apache.spark.sql.AnalysisException: Table not found: flights; line 2 pos 18
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  5. 0

    Table registered using registerTempTable not found in HiveContext

    Stack Overflow | 11 months ago | gst
    java.lang.RuntimeException: Table Not Found: xid_ingress_delta
  6. 0

    Re: ERROR server.TThreadPoolServer: Error occurred during processing of message

    spark-user | 1 year ago | Dasun Hegoda
    org.apache.spark.sql.AnalysisException: no such table service; line 1 pos 14

  1. harshg 1 times, last 11 months ago
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Root Cause Analysis

  1. org.apache.spark.sql.AnalysisException

    Table not found: health; line 1 pos 21

    at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis()
  2. Spark Project Catalyst
    TreeNode$$anonfun$4.apply
    1. org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
    2. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:306)
    3. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:315)
    4. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:310)
    5. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
    6. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
    7. org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
    8. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)
    9. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)
    10. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)
    11. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265)
    11 frames
  3. Scala
    AbstractIterator.toArray
    1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
    2. scala.collection.Iterator$class.foreach(Iterator.scala:727)
    3. scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
    4. scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
    5. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
    6. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
    7. scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
    8. scala.collection.AbstractIterator.to(Iterator.scala:1157)
    9. scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
    10. scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
    11. scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
    12. scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
    12 frames
  4. Spark Project Catalyst
    RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply
    1. org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305)
    2. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:54)
    3. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:310)
    4. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:300)
    5. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83)
    6. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80)
    6 frames
  5. Scala
    List.foldLeft
    1. scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)
    2. scala.collection.immutable.List.foldLeft(List.scala:84)
    2 frames
  6. Spark Project Catalyst
    RuleExecutor$$anonfun$execute$1.apply
    1. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80)
    2. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72)
    2 frames
  7. Scala
    List.foreach
    1. scala.collection.immutable.List.foreach(List.scala:318)
    1 frame
  8. Spark Project Catalyst
    RuleExecutor.execute
    1. org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72)
    1 frame
  9. Spark Project SQL
    SQLContext.sql
    1. org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:36)
    2. org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:36)
    3. org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
    4. org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
    5. org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
    6. org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
    6 frames
  10. sparkhive.hive
    queryhive.main
    1. sparkhive.hive.queryhive.main(queryhive.java:31)
    1 frame