UNSUPPORTED_FEATURE error class
The feature is not supported:
This error class has the following derived error classes:
AES-<mode> with the padding <padding> by the <functionName> function.
Catalog <catalogName> does not support <operation>.
DESC TABLE COLUMN for a specific partition.
DISTRIBUTE BY clause.
INSERT INTO <tableName> IF NOT EXISTS in the PARTITION spec.
The target JDBC server does not support transactions and can only support ALTER TABLE with a single action.
JOIN USING with LATERAL correlation.
NATURAL join with LATERAL correlation.
Literal for ‘<value>’ of <type>.
Multiple bucket TRANSFORMs.
NATURAL CROSS JOIN.
Unable to convert <orcType> of Orc to data type <toType>.
Pandas user defined aggregate function in the PIVOT clause.
PIVOT clause following a GROUP BY clause.
Pivoting by the value ‘<value>’ of the column data type <type>.
Python UDF in the ON clause of a <joinType> JOIN.
Repeated PIVOT operation.
<property> is a reserved namespace property, <msg>.
set PROPERTIES and DBPROPERTIES at the same time.
<property> is a reserved table property, <msg>.
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”.
UDF class with <num> type arguments.
TRANSFORM with the DISTINCT/ALL clause.
TRANSFORM with SERDE is only supported in hive mode.