org.apache.spark.sql.AnalysisException: Try to map struct<_1:struct<i:int,j:boolean>> to Tuple2, but failed as the number of fields does not line up.;

GitHub | imarios | 6 months ago
tip
Click on the to mark the solution that helps you, Samebug will learn from it.
As a community member, you’ll be rewarded for you help.
  1. 0

    Bug: Runtime error when selecting a composite field (a field that is also a struct())

    GitHub | 6 months ago | imarios
    org.apache.spark.sql.AnalysisException: Try to map struct<_1:struct<i:int,j:boolean>> to Tuple2, but failed as the number of fields does not line up.;
  2. 0

    Bug: Runtime error when selecting a composite field (a field that is also a struct())

    GitHub | 6 months ago | imarios
    org.apache.spark.sql.AnalysisException: Try to map struct<_1:struct<i:int,j:boolean>> to Tuple2, but failed as the number of fields does not line up.;
  3. 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;
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    [SPARK-2264] CachedTableSuite SQL Tests are Failing - ASF JIRA

    apache.org | 2 years ago
    java.lang.RuntimeException: Table Not Found: testData at scala.sys. $.error( .scala:27)
  6. 0

    [SPARK-2264] CachedTableSuite SQL Tests are Failing - ASF JIRA

    apache.org | 2 years ago
    java.lang.RuntimeException: Table Not Found: testData at scala.sys. $.error( .scala:27)
Not finding the right solution?
Take a tour to get the most out of Samebug.

Tired of useless tips?

Automated exception search integrated into your IDE

Root Cause Analysis

  1. org.apache.spark.sql.AnalysisException

    Try to map struct<_1:struct<i:int,j:boolean>> to Tuple2, but failed as the number of fields does not line up.;

    at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveDeserializer$$fail()
  2. Spark Project Catalyst
    RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply
    1. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveDeserializer$$fail(Analyzer.scala:1921)
    2. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveDeserializer$$validateTopLevelTupleFields(Analyzer.scala:1938)
    3. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$$anonfun$apply$32$$anonfun$applyOrElse$12.applyOrElse(Analyzer.scala:1912)
    4. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$$anonfun$apply$32$$anonfun$applyOrElse$12.applyOrElse(Analyzer.scala:1904)
    5. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
    6. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
    7. org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
    8. org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:278)
    9. org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionDown$1(QueryPlan.scala:157)
    10. org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:167)
    11. org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$4.apply(QueryPlan.scala:176)
    12. org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
    13. org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:176)
    14. org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:145)
    15. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$$anonfun$apply$32.applyOrElse(Analyzer.scala:1904)
    16. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$$anonfun$apply$32.applyOrElse(Analyzer.scala:1900)
    17. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
    18. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
    19. org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
    20. org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:60)
    21. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$.apply(Analyzer.scala:1900)
    22. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer$.apply(Analyzer.scala:1899)
    23. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
    24. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
    24 frames
  3. Scala
    List.foldLeft
    1. scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
    2. scala.collection.immutable.List.foldLeft(List.scala:84)
    2 frames
  4. Spark Project Catalyst
    RuleExecutor$$anonfun$execute$1.apply
    1. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
    2. org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
    2 frames
  5. Scala
    List.foreach
    1. scala.collection.immutable.List.foreach(List.scala:381)
    1 frame
  6. Spark Project Catalyst
    RuleExecutor.execute
    1. org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
    1 frame
  7. org.apache.spark
    ExpressionEncoder.resolveAndBind
    1. org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.resolveAndBind(ExpressionEncoder.scala:244)
    1 frame
  8. Spark Project SQL
    Dataset.as
    1. org.apache.spark.sql.Dataset.<init>(Dataset.scala:210)
    2. org.apache.spark.sql.Dataset.<init>(Dataset.scala:167)
    3. org.apache.spark.sql.Dataset$.apply(Dataset.scala:59)
    4. org.apache.spark.sql.Dataset.as(Dataset.scala:359)
    4 frames
  9. frameless
    TypedDataset.select
    1. frameless.TypedDataset.as(TypedDataset.scala:29)
    2. frameless.TypedDataset.select(TypedDataset.scala:284)
    2 frames