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>.

MULTIPLE_BUCKET_TRANSFORMS

Multiple bucket TRANSFORMs.

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.

TRANSFORM_DISTINCT_ALL

TRANSFORM with the DISTINCT/ALL clause.

TRANSFORM_NON_HIVE

TRANSFORM with SERDE is only supported in hive mode.