itholic commented on code in PR #38123:
URL: https://github.com/apache/spark/pull/38123#discussion_r1015123703
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala:
##########
@@ -1156,114 +1156,180 @@ private[sql] object QueryExecutionErrors extends
QueryErrorsBase {
cause = null)
}
- def notSupportNonPrimitiveTypeError(): Throwable = {
- new RuntimeException("Not support non-primitive type now")
+ def notSupportNonPrimitiveTypeError(): SparkRuntimeException = {
+ new SparkRuntimeException(
+ errorClass = "_LEGACY_ERROR_TEMP_2101",
+ messageParameters = Map.empty)
}
def unsupportedTypeError(dataType: DataType): Throwable = {
- new Exception(s"Unsupported type: ${dataType.catalogString}")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2102",
+ messageParameters = Map("catalogString" -> dataType.catalogString),
+ cause = null)
}
def useDictionaryEncodingWhenDictionaryOverflowError(): Throwable = {
- new IllegalStateException(
- "Dictionary encoding should not be used because of dictionary overflow.")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2103",
+ messageParameters = Map.empty,
+ cause = null)
}
def endOfIteratorError(): Throwable = {
- new NoSuchElementException("End of the iterator")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2104",
+ messageParameters = Map.empty,
+ cause = null)
}
def cannotAllocateMemoryToGrowBytesToBytesMapError(): Throwable = {
- new IOException("Could not allocate memory to grow BytesToBytesMap")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2105",
+ messageParameters = Map.empty,
+ cause = null)
}
def cannotAcquireMemoryToBuildLongHashedRelationError(size: Long, got:
Long): Throwable = {
- new SparkException(s"Can't acquire $size bytes memory to build hash
relation, " +
- s"got $got bytes")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2106",
+ messageParameters = Map("size" -> size.toString(), "got" ->
got.toString()),
+ cause = null)
}
def cannotAcquireMemoryToBuildUnsafeHashedRelationError(): Throwable = {
- new SparkOutOfMemoryError("There is not enough memory to build hash map")
+ new SparkOutOfMemoryError(
+ "_LEGACY_ERROR_TEMP_2107")
}
- def rowLargerThan256MUnsupportedError(): Throwable = {
- new UnsupportedOperationException("Does not support row that is larger
than 256M")
+ def rowLargerThan256MUnsupportedError(): SparkUnsupportedOperationException
= {
+ new SparkUnsupportedOperationException(
+ errorClass = "_LEGACY_ERROR_TEMP_2108",
+ messageParameters = Map.empty)
}
- def cannotBuildHashedRelationWithUniqueKeysExceededError(): Throwable = {
- new UnsupportedOperationException(
- "Cannot build HashedRelation with more than 1/3 billions unique keys")
+ def cannotBuildHashedRelationWithUniqueKeysExceededError():
SparkUnsupportedOperationException = {
+ new SparkUnsupportedOperationException(
+ errorClass = "_LEGACY_ERROR_TEMP_2109",
+ messageParameters = Map.empty)
}
- def cannotBuildHashedRelationLargerThan8GError(): Throwable = {
- new UnsupportedOperationException(
- "Can not build a HashedRelation that is larger than 8G")
+ def cannotBuildHashedRelationLargerThan8GError():
SparkUnsupportedOperationException = {
+ new SparkUnsupportedOperationException(
+ errorClass = "_LEGACY_ERROR_TEMP_2110",
+ messageParameters = Map.empty)
}
def failedToPushRowIntoRowQueueError(rowQueue: String): Throwable = {
- new SparkException(s"failed to push a row into $rowQueue")
+ new SparkException(
+ errorClass = "_LEGACY_ERROR_TEMP_2111",
+ messageParameters = Map("rowQueue" -> rowQueue),
+ cause = null)
}
- def unexpectedWindowFunctionFrameError(frame: String): Throwable = {
- new RuntimeException(s"Unexpected window function frame $frame.")
+ def unexpectedWindowFunctionFrameError(frame: String): SparkRuntimeException
= {
+ new SparkRuntimeException(
+ errorClass = "_LEGACY_ERROR_TEMP_2112",
+ messageParameters = Map("frame" -> frame))
}
def cannotParseStatisticAsPercentileError(
- stats: String, e: NumberFormatException): Throwable = {
- new IllegalArgumentException(s"Unable to parse $stats as a percentile", e)
+ stats: String, e: NumberFormatException): SparkIllegalArgumentException
= {
Review Comment:
Thanks for pointing out.
Let me address it with
https://github.com/apache/spark/pull/38104#discussion_r1014645923.
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