org.apache.spark.sql.AnalysisException: no such table ratings_perm; line 1 pos 33

github.com | 4 months ago
  1. 0

    Merge pull request #14 from fluxcapacitor/nlp · fluxcapacitor/pipeline@b6c4fd6 · GitHub

    github.com | 4 months ago
    org.apache.spark.sql.AnalysisException: no such table ratings_perm; line 1 pos 33
  2. 0

    Sunil's Notes

    blogspot.com | 4 months ago
    org.apache.spark.sql.AnalysisException: no such table sample_08; line 1 pos 14
  3. 0

    ERROR server.TThreadPoolServer: Error occurred during processing of message

    Stack Overflow | 11 months ago | Techie
    org.apache.spark.sql.AnalysisException: no such table service; line 1 pos 14
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  5. 0

    ERROR server.TThreadPoolServer: Error occurred during processing of message

    spark-user | 11 months ago | Dasun Hegoda
    org.apache.spark.sql.AnalysisException: no such table service; line 1 pos 14
  6. 0

    ERROR server.TThreadPoolServer: Error occurred during processing of message

    spark-user | 11 months ago | Dasun Hegoda
    org.apache.spark.sql.AnalysisException: no such table service; line 1 pos 14

  1. harshg 1 times, last 8 months ago
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Root Cause Analysis

  1. org.apache.spark.sql.AnalysisException

    no such table ratings_perm; line 1 pos 33

    at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis()
  2. Spark Project Catalyst
    TreeNode$$anonfun$4.apply
    1. org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
    2. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:260)
    3. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$7.applyOrElse(Analyzer.scala:268)
    4. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$7.applyOrElse(Analyzer.scala:264)
    5. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
    6. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
    7. org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
    8. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)
    9. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$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:249)
    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$$anonfun$apply$1.apply
    1. org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:279)
    2. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:54)
    3. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:264)
    4. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:254)
    5. org.apache.spark.sql.catalyst.rules.RuleExecutor$$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$1.apply(RuleExecutor.scala:72)
    2 frames
  7. Scala
    List.foreach
    1. scala.collection.immutable.List.foreach(List.scala:318)
    1 frame
  8. Spark Project Catalyst
    RuleExecutor.execute
    1. org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72)
    1 frame
  9. Spark Project SQL
    SQLContext$QueryExecution.assertAnalyzed
    1. org.apache.spark.sql.SQLContext$QueryExecution.analyzed$lzycompute(SQLContext.scala:916)
    2. org.apache.spark.sql.SQLContext$QueryExecution.analyzed(SQLContext.scala:916)
    3. org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:914)
    3 frames