feat: add databoost enabled property for batch transactions

google/cloud/spanner_v1/database.py

@@ -1101,6 +1101,7 @@ def generate_read_batches(
         index="",
         partition_size_bytes=None,
         max_partitions=None,
+        data_boost_enabled=False,
         *,
         retry=gapic_v1.method.DEFAULT,
         timeout=gapic_v1.method.DEFAULT,
@@ -1135,6 +1136,11 @@ def generate_read_batches(
             service uses this as a hint, the actual number of partitions may
             differ.
 
+        :type data_boost_enabled:
+        :param data_boost_enabled:
+                (Optional) If this is for a partitioned read and this field is
+                set ``true``, the request will be executed via offline access.
+
         :type retry: :class:`~google.api_core.retry.Retry`
         :param retry: (Optional) The retry settings for this request.
 
@@ -1162,6 +1168,7 @@ def generate_read_batches(
             "columns": columns,
             "keyset": keyset._to_dict(),
             "index": index,
+            "data_boost_enabled": data_boost_enabled,
         }
         for partition in partitions:
             yield {"partition": partition, "read": read_info.copy()}
@@ -1205,6 +1212,7 @@ def generate_query_batches(
         partition_size_bytes=None,
         max_partitions=None,
         query_options=None,
+        data_boost_enabled=False,
         *,
         retry=gapic_v1.method.DEFAULT,
         timeout=gapic_v1.method.DEFAULT,
@@ -1251,6 +1259,11 @@ def generate_query_batches(
                 If a dict is provided, it must be of the same form as the protobuf
                 message :class:`~google.cloud.spanner_v1.types.QueryOptions`
 
+        :type data_boost_enabled:
+        :param data_boost_enabled:
+                (Optional) If this is for a partitioned query and this field is
+                set ``true``, the request will be executed via offline access.
+
         :type retry: :class:`~google.api_core.retry.Retry`
         :param retry: (Optional) The retry settings for this request.
 
@@ -1272,7 +1285,10 @@ def generate_query_batches(
             timeout=timeout,
         )
 
-        query_info = {"sql": sql}
+        query_info = {
+            "sql": sql,
+            "data_boost_enabled": data_boost_enabled,
+        }
         if params:
             query_info["params"] = params
             query_info["param_types"] = param_types

google/cloud/spanner_v1/snapshot.py

@@ -167,6 +167,7 @@ def read(
         limit=0,
         partition=None,
         request_options=None,
+        data_boost_enabled=False,
         *,
         retry=gapic_v1.method.DEFAULT,
         timeout=gapic_v1.method.DEFAULT,
@@ -210,6 +211,14 @@ def read(
         :type timeout: float
         :param timeout: (Optional) The timeout for this request.
 
+        :type data_boost_enabled:
+        :param data_boost_enabled:
+                (Optional) If this is for a partitioned read and this field is
+                set ``true``, the request will be executed via offline access.
+                If the field is set to ``true`` but the request does not set
+                ``partition_token``, the API will return an
+                ``INVALID_ARGUMENT`` error.
+
         :rtype: :class:`~google.cloud.spanner_v1.streamed.StreamedResultSet`
         :returns: a result set instance which can be used to consume rows.
 
@@ -247,6 +256,7 @@ def read(
             limit=limit,
             partition_token=partition,
             request_options=request_options,
+            data_boost_enabled=data_boost_enabled,
         )
         restart = functools.partial(
             api.streaming_read,
@@ -302,6 +312,7 @@ def execute_sql(
         partition=None,
         retry=gapic_v1.method.DEFAULT,
         timeout=gapic_v1.method.DEFAULT,
+        data_boost_enabled=False,
     ):
         """Perform an ``ExecuteStreamingSql`` API request.
 
@@ -351,6 +362,14 @@ def execute_sql(
         :type timeout: float
         :param timeout: (Optional) The timeout for this request.
 
+        :type data_boost_enabled:
+        :param data_boost_enabled:
+                (Optional) If this is for a partitioned query and this field is
+                set ``true``, the request will be executed via offline access.
+                If the field is set to ``true`` but the request does not set
+                ``partition_token``, the API will return an
+                ``INVALID_ARGUMENT`` error.
+
         :raises ValueError:
             for reuse of single-use snapshots, or if a transaction ID is
             already pending for multiple-use snapshots.
@@ -400,6 +419,7 @@ def execute_sql(
             seqno=self._execute_sql_count,
             query_options=query_options,
             request_options=request_options,
+            data_boost_enabled=data_boost_enabled,
         )
         restart = functools.partial(
             api.execute_streaming_sql,

samples/samples/batch_sample.py

@@ -47,6 +47,10 @@ def run_batch_query(instance_id, database_id):
         table="Singers",
         columns=("SingerId", "FirstName", "LastName"),
         keyset=spanner.KeySet(all_=True),
+        # A Partition object is serializable and can be used from a different process.
+        # DataBoost option is an optional parameter which can also be used for partition read
+        # and query to execute the request via spanner independent compute resources.
+        data_boost_enabled=True,
     )
 
     # Create a pool of workers for the tasks
@@ -87,4 +91,5 @@ def process(snapshot, partition):
 
     args = parser.parse_args()
 
-    run_batch_query(args.instance_id, args.database_id)
+    if args.command == "run_batch_query":
+        run_batch_query(args.instance_id, args.database_id)

tests/system/test_session_api.py

@@ -1875,7 +1875,7 @@ def test_read_with_range_keys_and_index_open_open(sessions_database):
         assert rows == expected
 
 
-def test_partition_read_w_index(sessions_database):
+def test_partition_read_w_index(sessions_database, not_emulator):
     sd = _sample_data
     row_count = 10
     columns = sd.COLUMNS[1], sd.COLUMNS[2]
@@ -1886,7 +1886,11 @@ def test_partition_read_w_index(sessions_database):
 
     batch_txn = sessions_database.batch_snapshot(read_timestamp=committed)
     batches = batch_txn.generate_read_batches(
-        sd.TABLE, columns, spanner_v1.KeySet(all_=True), index="name"
+        sd.TABLE,
+        columns,
+        spanner_v1.KeySet(all_=True),
+        index="name",
+        data_boost_enabled=True,
     )
     for batch in batches:
         p_results_iter = batch_txn.process(batch)
@@ -2494,7 +2498,7 @@ def test_execute_sql_returning_transfinite_floats(sessions_database, not_postgre
         assert math.isnan(float_array[2])
 
 
-def test_partition_query(sessions_database):
+def test_partition_query(sessions_database, not_emulator):
     row_count = 40
     sql = f"SELECT * FROM {_sample_data.TABLE}"
     committed = _set_up_table(sessions_database, row_count)
@@ -2503,7 +2507,7 @@ def test_partition_query(sessions_database):
     all_data_rows = set(_row_data(row_count))
     union = set()
     batch_txn = sessions_database.batch_snapshot(read_timestamp=committed)
-    for batch in batch_txn.generate_query_batches(sql):
+    for batch in batch_txn.generate_query_batches(sql, data_boost_enabled=True):
         p_results_iter = batch_txn.process(batch)
         # Lists aren't hashable so the results need to be converted
         rows = [tuple(result) for result in p_results_iter]

tests/unit/test_database.py

@@ -2114,6 +2114,7 @@ def test_generate_read_batches_w_max_partitions(self):
             "columns": self.COLUMNS,
             "keyset": {"all": True},
             "index": "",
+            "data_boost_enabled": False,
         }
         self.assertEqual(len(batches), len(self.TOKENS))
         for batch, token in zip(batches, self.TOKENS):
@@ -2155,6 +2156,7 @@ def test_generate_read_batches_w_retry_and_timeout_params(self):
             "columns": self.COLUMNS,
             "keyset": {"all": True},
             "index": "",
+            "data_boost_enabled": False,
         }
         self.assertEqual(len(batches), len(self.TOKENS))
         for batch, token in zip(batches, self.TOKENS):
@@ -2195,6 +2197,7 @@ def test_generate_read_batches_w_index_w_partition_size_bytes(self):
             "columns": self.COLUMNS,
             "keyset": {"all": True},
             "index": self.INDEX,
+            "data_boost_enabled": False,
         }
         self.assertEqual(len(batches), len(self.TOKENS))
         for batch, token in zip(batches, self.TOKENS):
@@ -2212,6 +2215,47 @@ def test_generate_read_batches_w_index_w_partition_size_bytes(self):
             timeout=gapic_v1.method.DEFAULT,
         )
 
+    def test_generate_read_batches_w_data_boost_enabled(self):
+        data_boost_enabled = True
+        keyset = self._make_keyset()
+        database = self._make_database()
+        batch_txn = self._make_one(database)
+        snapshot = batch_txn._snapshot = self._make_snapshot()
+        snapshot.partition_read.return_value = self.TOKENS
+
+        batches = list(
+            batch_txn.generate_read_batches(
+                self.TABLE,
+                self.COLUMNS,
+                keyset,
+                index=self.INDEX,
+                data_boost_enabled=data_boost_enabled,
+            )
+        )
+
+        expected_read = {
+            "table": self.TABLE,
+            "columns": self.COLUMNS,
+            "keyset": {"all": True},
+            "index": self.INDEX,
+            "data_boost_enabled": True,
+        }
+        self.assertEqual(len(batches), len(self.TOKENS))
+        for batch, token in zip(batches, self.TOKENS):
+            self.assertEqual(batch["partition"], token)
+            self.assertEqual(batch["read"], expected_read)
+
+        snapshot.partition_read.assert_called_once_with(
+            table=self.TABLE,
+            columns=self.COLUMNS,
+            keyset=keyset,
+            index=self.INDEX,
+            partition_size_bytes=None,
+            max_partitions=None,
+            retry=gapic_v1.method.DEFAULT,
+            timeout=gapic_v1.method.DEFAULT,
+        )
+
     def test_process_read_batch(self):
         keyset = self._make_keyset()
         token = b"TOKEN"
@@ -2288,7 +2332,11 @@ def test_generate_query_batches_w_max_partitions(self):
             batch_txn.generate_query_batches(sql, max_partitions=max_partitions)
         )
 
-        expected_query = {"sql": sql, "query_options": client._query_options}
+        expected_query = {
+            "sql": sql,
+            "data_boost_enabled": False,
+            "query_options": client._query_options,
+        }
         self.assertEqual(len(batches), len(self.TOKENS))
         for batch, token in zip(batches, self.TOKENS):
             self.assertEqual(batch["partition"], token)
@@ -2326,6 +2374,7 @@ def test_generate_query_batches_w_params_w_partition_size_bytes(self):
 
         expected_query = {
             "sql": sql,
+            "data_boost_enabled": False,
             "params": params,
             "param_types": param_types,
             "query_options": client._query_options,
@@ -2372,6 +2421,7 @@ def test_generate_query_batches_w_retry_and_timeout_params(self):
 
         expected_query = {
             "sql": sql,
+            "data_boost_enabled": False,
             "params": params,
             "param_types": param_types,
             "query_options": client._query_options,
@@ -2391,6 +2441,37 @@ def test_generate_query_batches_w_retry_and_timeout_params(self):
             timeout=2.0,
         )
 
+    def test_generate_query_batches_w_data_boost_enabled(self):
+        sql = "SELECT COUNT(*) FROM table_name"
+        client = _Client(self.PROJECT_ID)
+        instance = _Instance(self.INSTANCE_NAME, client=client)
+        database = _Database(self.DATABASE_NAME, instance=instance)
+        batch_txn = self._make_one(database)
+        snapshot = batch_txn._snapshot = self._make_snapshot()
+        snapshot.partition_query.return_value = self.TOKENS
+
+        batches = list(batch_txn.generate_query_batches(sql, data_boost_enabled=True))
+
+        expected_query = {
+            "sql": sql,
+            "data_boost_enabled": True,
+            "query_options": client._query_options,
+        }
+        self.assertEqual(len(batches), len(self.TOKENS))
+        for batch, token in zip(batches, self.TOKENS):
+            self.assertEqual(batch["partition"], token)
+            self.assertEqual(batch["query"], expected_query)
+
+        snapshot.partition_query.assert_called_once_with(
+            sql=sql,
+            params=None,
+            param_types=None,
+            partition_size_bytes=None,
+            max_partitions=None,
+            retry=gapic_v1.method.DEFAULT,
+            timeout=gapic_v1.method.DEFAULT,
+        )
+
     def test_process_query_batch(self):
         sql = (
             "SELECT first_name, last_name, email FROM citizens " "WHERE age <= @max_age"