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feat(spanner): add DataBoost and auto_partition_mode support to DBAPI driver
Add support for Cloud Spanner DataBoost and `auto_partition_mode` in the Python DBAPI (PEP 249) driver (`google.cloud.spanner_dbapi`).
Key updates:
* Add `data_boost_enabled: bool = False` and `auto_partition_mode: bool = False` arguments to `spanner_dbapi.connect()` and `Connection.__init__()`.
* Add `@property def data_boost_enabled(self)` and `@property def auto_partition_mode(self)` getters and setters on `Connection`.
* Add client-side statement parsing and execution for:
- `SET DATA_BOOST_ENABLED = TRUE|FALSE`
- `SHOW VARIABLE DATA_BOOST_ENABLED` (returns column `DATA_BOOST_ENABLED` with `BOOL` type)
- `SET AUTO_PARTITION_MODE = TRUE|FALSE`
- `SHOW VARIABLE AUTO_PARTITION_MODE` (returns column `AUTO_PARTITION_MODE` with `BOOL` type)
* Add automatic query partitioning in `Cursor._execute()` when `auto_partition_mode=True`, routing queries to `run_partitioned_query` and forwarding `data_boost_enabled`.
* Forward `data_boost_enabled` in `Connection.partition_query()` and `Connection.run_partitioned_query()`.
* Add comprehensive unit and gRPC mock server test coverage across DBAPI connection, cursor, parser, statement executor, and mock server test suites.
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