You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Karen Feng (Jira)" <ji...@apache.org> on 2021/07/26 19:33:00 UTC

[jira] [Created] (SPARK-36305) Refactor sixteenth set of 20 query execution errors to use error classes

Karen Feng created SPARK-36305:
----------------------------------

             Summary: Refactor sixteenth set of 20 query execution errors to use error classes
                 Key: SPARK-36305
                 URL: https://issues.apache.org/jira/browse/SPARK-36305
             Project: Spark
          Issue Type: Sub-task
          Components: Spark Core, SQL
    Affects Versions: 3.2.0
            Reporter: Karen Feng


Refactor some exceptions in [QueryExecutionErrors|https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala] to use error classes.

There are currently ~350 exceptions in this file; so this PR only focuses on the fifteenth set of 20.
{code:java}
unsupportedOperationExceptionError
nullLiteralsCannotBeCastedError
notUserDefinedTypeError
cannotLoadUserDefinedTypeError
timeZoneIdNotSpecifiedForTimestampTypeError
notPublicClassError
primitiveTypesNotSupportedError
fieldIndexOnRowWithoutSchemaError
valueIsNullError
onlySupportDataSourcesProvidingFileFormatError
failToSetOriginalPermissionBackError
failToSetOriginalACLBackError
multiFailuresInStageMaterializationError
unrecognizedCompressionSchemaTypeIDError
getParentLoggerNotImplementedError
cannotCreateParquetConverterForTypeError
cannotCreateParquetConverterForDecimalTypeError
cannotCreateParquetConverterForDataTypeError
cannotAddMultiPartitionsOnNonatomicPartitionTableError
userSpecifiedSchemaUnsupportedByDataSourceError
{code}
For more detail, see the parent ticket SPARK-36094.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org