ICEBERG_SNAPSHOTS table function
The SYSHADOOP.ICEBERG_SNAPSHOTS (SYSHADOOP schema) table function is used to retrieve information about the snapshots of a Datalake Iceberg table. The snapshot information can be queried and used for snapshot management, such as rolling back to a particular snapshot. The ICEBERG_SNAPSHOTS table function can be called by any user.
Syntax
Description
- schema
- The Datalake Iceberg schema name.
- table name
- The name of the Iceberg table to retrieve snapshot info from.
Output
The function returns a table with one row per snapshot containing information about the snapshot. Each row contains the following columns:
| Column name | Data type | Description |
|---|---|---|
| SCHEMANAME | VARCHAR(128) | The schema name of the Datalake Iceberg table. |
| TABLENAME | VARCHAR(128) | The table name of the Datalake Iceberg table. |
| SEQNUM | BIGINT | The sequence number of the snapshot indicating the order that the snapshots were created. |
| CREATE_TS | TIMESTAMP | The timestamp of when the snapshot was created. |
| ROLLBACK_TS | TIMESTAMP | This is the timestamp to use if intending to rollback to the snapshot by timestamp. This column’s value is the creation timestamp incremented by one millisecond, since rolling back to a timestamp rolls back to the latest snapshot after the given timestamp, this column is provided for convenience. |
| SNAPSHOT_ID | BIGINT | The ID of the snapshot. |
| PARENT_ID | BIGINT | The snapshot ID of the parent snapshot. If there is no parent then this is NULL. |
| SCHEMA_ID | INT | The ID of the schema that is used for the snapshot. |
| OPERATION | VARCHAR(16) | The operation done by the snapshot. Possible values are “append”, “replace”, “overwrite”, or “delete”. |
| IS_CURRENT | CHAR(1) | Specifies if the snapshot is the current snapshot for the table. The value is either ‘Y’ or ‘N’. |
Example
SELECT * FROM TABLE(SYSHADOOP.ICEBERG_SNAPSHOTS(‘EXAMPLE’, ‘TEST_TABLE’));
SCHEMANAME TABLENAME SEQNUM CREATE_TS ROLLBACK_TS SNAPSHOT_ID PARENT_ID SCHEMA_ID OPERATION IS_CURRENT
------------------------------------------------- -------------------------------------------------------------------------------------------------------------------------------- -------------------- -------------------------- -------------------------- -------------------- -------------------- ----------- ---------------- ----------
EXAMPLE TEST_TABLE 1 2023-09-12-11.23.11.336000 2023-09-12-11.23.11.337000 6082606189141553394 - 0 append N
EXAMPLE TEST_TABLE 2 2023-09-12-11.24.47.019000 2023-09-12-11.24.47.020000 2837479794443339597 6082606189141553394 1 append N
EXAMPLE TEST_TABLE 3 2023-09-12-11.26.09.415000 2023-09-12-11.26.09.416000 1844248813417128083 6082606189141553394 0 append Y
EXAMPLE
