scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$)

github.com | 3 months ago
  1. 0

    eco-release-metadata/RELEASENOTES.1.2.0.md at master · aw-was-here/eco-release-metadata · GitHub

    github.com | 3 months ago
    scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$)
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    Apache Spark User List - spark sql: timestamp in json - fails

    nabble.com | 4 months ago
    scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$)
  3. 0

    Apache Spark User List - spark sql: timestamp in json - fails

    nabble.com | 4 months ago
    scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$) at org.apache.spark.sql.json.JsonRDD$.enforceCorrectType(JsonRDD.scala:348) at org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1$$anonfun$apply$12.apply(JsonRDD.scala:381)
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  5. 0

    GitHub comment 2#132493746

    GitHub | 1 year ago | d6y
    scala.MatchError: 0 (of class java.lang.Integer)
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    Facing "scala.MatchError: 1201 (of class java.lang.Integer)" while creating Data frame

    Stack Overflow | 6 months ago | Priyaranjan Swain
    scala.MatchError: 1201 (of class java.lang.Integer)

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    Root Cause Analysis

    1. scala.MatchError

      TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$)

      at org.apache.spark.sql.catalyst.expressions.Cast.castToTimestamp()
    2. Spark Project Catalyst
      TreeNode$$anonfun$4$$anonfun$apply$2.apply
      1. org.apache.spark.sql.catalyst.expressions.Cast.castToTimestamp(Cast.scala:77)
      2. org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:251)
      3. org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:247)
      4. org.apache.spark.sql.catalyst.expressions.Cast.eval(Cast.scala:263)
      5. org.apache.spark.sql.catalyst.optimizer.ConstantFolding$$anonfun$apply$5$$anonfun$applyOrElse$2.applyOrElse(Optimizer.scala:217)
      6. org.apache.spark.sql.catalyst.optimizer.ConstantFolding$$anonfun$apply$5$$anonfun$applyOrElse$2.applyOrElse(Optimizer.scala:210)
      7. org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144)
      8. org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$2.apply(TreeNode.scala:180)
      8 frames
    3. Scala
      TraversableLike$$anonfun$map$1.apply
      1. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
      2. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
      2 frames