TABLES
Applies to: 
Databricks SQL Databricks Runtime 10.4 LTS and above Unity Catalog only
INFORMATION_SCHEMA.TABLES contains the object level meta data for tables and views (relations) within the local catalog or all catalogs if owned by the SYSTEM catalog.
The rows returned are limited to the relations the user is privileged to interact with.
Definition
The TABLES relation contains the following columns:
| Name | Data type | Nullable | Standard | Description |
|---|---|---|---|---|
TABLE_CATALOG |
STRING |
No | Yes | Catalog that contains the relation. |
TABLE_SCHEMA |
STRING |
No | Yes | Schema that contains the relation. |
TABLE_NAME |
STRING |
No | Yes | Name of the relation. |
TABLE_TYPE |
STRING |
No | Yes | One of 'BASE TABLE', 'VIEW'. |
IS_INSERTABLE_INTO |
STRING |
No | Yes | 'YES' if the relation can be inserted into, 'NO' otherwise. |
COMMIT_ACTION |
STRING |
No | Yes | Always 'PRESERVE'. Reserved for future use. |
TABLE_OWNER |
STRING |
No | No | User or group (principal) currently owning the relation. |
COMMENT |
STRING |
Yes | No | An optional comment that describes the relation. |
CREATED |
TIMESTAMP |
No | No | Timestamp when the relation was created. |
CREATED_BY |
STRING |
No | No | Principal which created the relation. |
LAST_ALTERED |
TIMESTAMP |
No | No | Timestamp when the relation definition was last altered in any way. |
LAST_ALTERED_BY |
STRING |
No | No | Principal which last altered the relation. |
DATA_SOURCE_FORMAT |
STRING |
No | No | Format of the data source such as PARQUET, or CSV. |
STORAGE_SUB_DIRECTORY |
STRING |
Yes | No | Discontinued. Always NULL. |
Constraints
The following constraints apply to the TABLES relation:
| Class | Name | Column List | Description |
|---|---|---|---|
| Primary key | TABLES_PK |
TABLE_CATALOG, TABLE_SCHEMA, TABLE_NAME |
Unique identifier for the relation. |
| Foreign key | TABLES_SCHEMATA_FK |
TABLE_CATALOG, TABLE_SCHEMA |
References SCHEMATA. |
Examples
> SELECT table_owner
FROM information_schema.tables
WHERE table_schema = 'information_schema'
AND table_name = 'columns';