org.apache.spark.sql.AnalysisException: invalid cast from array<struct<_c0:int>> to int;

github.com | 9 months ago
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  1. 0

    [SPARK-5817] [SQL] Fix bug of udtf with column names by chenghao-intel · Pull Request #4602 · apache/spark · GitHub

    github.com | 9 months ago
    org.apache.spark.sql.AnalysisException: invalid cast from array<struct<_c0:int>> to int;
  2. 0

    [jira] [Commented] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

    spark-issues | 1 year ago | Jacek Laskowski (JIRA)
    org.apache.spark.sql.AnalysisException: Unable to generate an encoder for inner class `T` without access to the scope that this class was defined in. Try moving this class out of its parent class.;
  3. 0

    [jira] [Issue Comment Deleted] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

    spark-issues | 1 year ago | Jacek Laskowski (JIRA)
    org.apache.spark.sql.AnalysisException: Unable to generate an encoder for inner class `T` without access to the scope that this class was defined in. Try moving this class out of its parent class.;
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  5. 0

    [jira] [Commented] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

    spark-issues | 1 year ago | Jacek Laskowski (JIRA)
    org.apache.spark.sql.AnalysisException: Unable to generate an encoder for inner class `T` without access to the scope that this class was defined in. Try moving this class out of its parent class.;
  6. 0

    [jira] [Reopened] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

    spark-issues | 1 year ago | Jacek Laskowski (JIRA)
    org.apache.spark.sql.AnalysisException: Unable to generate an encoder for inner class `T` without access to the scope that this class was defined in. Try moving this class out of its parent class.;

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    Root Cause Analysis

    1. org.apache.spark.sql.AnalysisException

      invalid cast from array<struct<_c0:int>> to int;

      at org.apache.spark.sql.catalyst.analysis.Analyzer$CheckResolution$.failAnalysis()
    2. Spark Project Catalyst
      TreeNode$$anonfun$5.apply
      1. org.apache.spark.sql.catalyst.analysis.Analyzer$CheckResolution$.failAnalysis(Analyzer.scala:85)
      2. org.apache.spark.sql.catalyst.analysis.Analyzer$CheckResolution$$anonfun$apply$18$$anonfun$apply$2.applyOrElse(Analyzer.scala:98)
      3. org.apache.spark.sql.catalyst.analysis.Analyzer$CheckResolution$$anonfun$apply$18$$anonfun$apply$2.applyOrElse(Analyzer.scala:92)
      4. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250)
      5. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250)
      6. org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:50)
      7. org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:249)
      8. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:263)
      8 frames