Hippo heap table is organized as a Log-Structured Merge-Tree (“LSM-Tree”). When performing large amount of delete or update operations, users can use below command to compact heap table manually to improve performance.
result = self._hc.analyze_database(table_name = self._table_name, database_name = self._database_name)
Result:
This method returns True if it succeeds. Otherwise, “ValueError” exception will be raised.
Parameter description:
| Parameters | Description | Required |
|---|---|---|
| table_name (str) | Table name | Yes |
| is_update (bool) | Whether to rebuild index information | Yes, defaults to False |
| column_names (list) | Column list to check statistics information | Yes, defaults to empty; only takes effect when is_update is set to False |
| database_name (str) | Database where the table is located | No, defaults to "default" database |
| wait_for_completion (bool) | Whether to wait until this job is done | No, defaults to True |
| timeout (str) | Operation timeout, in seconds | No, defaults to "10m" |