UNSUPPORTED_FEATURE error class
The feature is not supported:
This error class has the following derived error classes:
AES_MODE
AES-<mode> with the padding <padding> by the <functionName> function.
CATALOG_OPERATION
Catalog <catalogName> does not support <operation>.
DESC_TABLE_COLUMN_PARTITION
DESC TABLE COLUMN for a specific partition.
DISTRIBUTE_BY
DISTRIBUTE BY clause.
INSERT_PARTITION_SPEC_IF_NOT_EXISTS
INSERT INTO <tableName> IF NOT EXISTS in the PARTITION spec.
JDBC_TRANSACTION
The target JDBC server does not support transactions and can only support ALTER TABLE with a single action.
LATERAL_JOIN_USING
JOIN USING with LATERAL correlation.
LATERAL_NATURAL_JOIN
NATURAL join with LATERAL correlation.
LITERAL_TYPE
Literal for ‘<value>’ of <type>.
NATURAL_CROSS_JOIN
NATURAL CROSS JOIN.
ORC_TYPE_CAST
Unable to convert <orcType> of Orc to data type <toType>.
PANDAS_UDAF_IN_PIVOT
Pandas user defined aggregate function in the PIVOT clause.
PIVOT_AFTER_GROUP_BY
PIVOT clause following a GROUP BY clause.
PIVOT_TYPE
Pivoting by the value ‘<value>’ of the column data type <type>.
PYTHON_UDF_IN_ON_CLAUSE
Python UDF in the ON clause of a <joinType> JOIN.
REPEATED_PIVOT
Repeated PIVOT operation.
SET_NAMESPACE_PROPERTY
<property> is a reserved namespace property, <msg>.
SET_PROPERTIES_AND_DBPROPERTIES
set PROPERTIES and DBPROPERTIES at the same time.
SET_TABLE_PROPERTY
<property> is a reserved table property, <msg>.
TABLE_OPERATION
Table <tableName> does not support <operation>. Please check the current catalog and namespace to make sure the qualified table name is expected, and also check the catalog implementation which is configured by “spark.sql.catalog”.
TOO_MANY_TYPE_ARGUMENTS_FOR_UDF_CLASS
UDF class with <num> type arguments.