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[SPARK-42839][SQL] Convert _LEGACY_ERROR_TEMP_2003 to an internal error #56727

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[SPARK-42839][SQL] Convert _LEGACY_ERROR_TEMP_2003 to an internal error #56727

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5 changes: 0 additions & 5 deletions common/utils/src/main/resources/error/error-conditions.json
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Original file line number Diff line number Diff line change
Expand Up @@ -10113,11 +10113,6 @@
"Sinks cannot request distribution and ordering in continuous execution mode."
]
},
"_LEGACY_ERROR_TEMP_2003" : {
"message" : [
"Unsuccessful try to zip maps with <size> unique keys due to exceeding the array size limit <maxRoundedArrayLength>."
]
},
"_LEGACY_ERROR_TEMP_2017" : {
"message" : [
"not resolved."
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10 changes: 4 additions & 6 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
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Expand Up @@ -342,12 +342,10 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
arithmeticOverflowError("Overflow in function conv()", context = context)
}

def mapSizeExceedArraySizeWhenZipMapError(size: Int): SparkRuntimeException = {
new SparkRuntimeException(
errorClass = "_LEGACY_ERROR_TEMP_2003",
messageParameters = Map(
"size" -> size.toString(),
"maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
def mapSizeExceedArraySizeWhenZipMapError(size: Int): SparkException = {
SparkException.internalError(
s"Unsuccessful try to zip maps with $size unique keys due to exceeding the array size " +
s"limit ${ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH}.")
}

def literalTypeUnsupportedError(v: Any): RuntimeException = {
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