Maxim Gekk created SPARK-33134:
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Summary: Incorrect nested complex JSON fields raise an exception
Key: SPARK-33134
URL: https://issues.apache.org/jira/browse/SPARK-33134
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.0.2, 3.1.0
Reporter: Maxim Gekk
The code below:
{code:scala}
val pokerhand_raw = Seq("""[{"cards": [11], "playerId":
583651}]""").toDF("events")
val event = new StructType()
.add("playerId", LongType)
.add("cards", ArrayType(
new StructType()
.add("id", LongType)
.add("rank", StringType)))
val pokerhand_events = pokerhand_raw
.select(explode(from_json($"events", ArrayType(event))).as("event"))
pokerhand_events.show
{code}
throw the exception in the PERMISSIVE mode (default):
{code:java}
Caused by: java.lang.ClassCastException: java.lang.Long cannot be cast to
org.apache.spark.sql.catalyst.util.ArrayData
at
org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray(rows.scala:48)
at
org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getArray$(rows.scala:48)
at
org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getArray(rows.scala:195)
at
org.apache.spark.sql.catalyst.expressions.JsonToStructs.$anonfun$converter$2(jsonExpressions.scala:560)
at
org.apache.spark.sql.catalyst.expressions.JsonToStructs.nullSafeEval(jsonExpressions.scala:597)
at
org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:461)
at
org.apache.spark.sql.catalyst.expressions.ExplodeBase.eval(generators.scala:313)
at
org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$8(GenerateExec.scala:108)
{code}
The same works in Spark 2.4:
{code:scala}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.4.6
/_/
Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 1.8.0_265)
...
scala> pokerhand_events.show()
+-----+
|event|
+-----+
+-----+
{code}
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