def execute_partitioned_dml(self, dml, params=None, param_types=None):
"""Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
the names used in ``dml``.
:type param_types: dict[str -> Union[dict, .types.Type]]
:param param_types:
(Optional) maps explicit types for one or more param values;
required if parameters are passed.
:rtype: int
:returns: Count of rows affected by the DML statement.
"""
if params is not None:
if param_types is None:
raise ValueError(
"Specify 'param_types' when passing 'params'.")
params_pb = Struct(fields={
key: _make_value_pb(value)
for key, value in params.items()
})
else:
params_pb = None
api = self.spanner_api
txn_options = TransactionOptions(
partitioned_dml=TransactionOptions.PartitionedDml())
metadata = _metadata_with_prefix(self.name)
with SessionCheckout(self._pool) as session:
txn = api.begin_transaction(session.name,
txn_options,
metadata=metadata)
txn_selector = TransactionSelector(id=txn.id)
restart = functools.partial(
api.execute_streaming_sql,
session.name,
dml,
transaction=txn_selector,
params=params_pb,
param_types=param_types,
metadata=metadata,
)
iterator = _restart_on_unavailable(restart)
result_set = StreamedResultSet(iterator)
list(result_set) # consume all partials
return result_set.stats.row_count_lower_bound
def execute_pdml():
with SessionCheckout(self._pool) as session:
txn = api.begin_transaction(session.name,
txn_options,
metadata=metadata)
txn_selector = TransactionSelector(id=txn.id)
restart = functools.partial(
api.execute_streaming_sql,
session.name,
dml,
transaction=txn_selector,
params=params_pb,
param_types=param_types,
query_options=query_options,
metadata=metadata,
)
iterator = _restart_on_unavailable(restart)
result_set = StreamedResultSet(iterator)
list(result_set) # consume all partials
return result_set.stats.row_count_lower_bound
def execute_partitioned_dml(self, dml, params=None, param_types=None):
"""Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
the names used in ``dml``.
:type param_types: dict[str -> Union[dict, .types.Type]]
:param param_types:
(Optional) maps explicit types for one or more param values;
required if parameters are passed.
:rtype: int
:returns: Count of rows affected by the DML statement.
"""
if params is not None:
if param_types is None:
raise ValueError("Specify 'param_types' when passing 'params'.")
params_pb = Struct(
fields={key: _make_value_pb(value) for key, value in params.items()}
)
else:
params_pb = None
api = self.spanner_api
txn_options = TransactionOptions(
partitioned_dml=TransactionOptions.PartitionedDml()
)
metadata = _metadata_with_prefix(self.name)
with SessionCheckout(self._pool) as session:
txn = api.begin_transaction(session.name, txn_options, metadata=metadata)
txn_selector = TransactionSelector(id=txn.id)
restart = functools.partial(
api.execute_streaming_sql,
session.name,
dml,
transaction=txn_selector,
params=params_pb,
param_types=param_types,
metadata=metadata,
)
iterator = _restart_on_unavailable(restart)
result_set = StreamedResultSet(iterator)
list(result_set) # consume all partials
return result_set.stats.row_count_lower_bound
def _call_fut(self, restart):
from google.cloud.spanner_v1.snapshot import _restart_on_unavailable
return _restart_on_unavailable(restart)
def execute_partitioned_dml(self,
dml,
params=None,
param_types=None,
query_options=None):
"""Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
the names used in ``dml``.
:type param_types: dict[str -> Union[dict, .types.Type]]
:param param_types:
(Optional) maps explicit types for one or more param values;
required if parameters are passed.
:type query_options:
:class:`~google.cloud.spanner_v1.proto.ExecuteSqlRequest.QueryOptions`
or :class:`dict`
:param query_options:
(Optional) Query optimizer configuration to use for the given query.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.QueryOptions`
:rtype: int
:returns: Count of rows affected by the DML statement.
"""
query_options = _merge_query_options(
self._instance._client._query_options, query_options)
if params is not None:
if param_types is None:
raise ValueError(
"Specify 'param_types' when passing 'params'.")
params_pb = Struct(fields={
key: _make_value_pb(value)
for key, value in params.items()
})
else:
params_pb = None
api = self.spanner_api
txn_options = TransactionOptions(
partitioned_dml=TransactionOptions.PartitionedDml())
metadata = _metadata_with_prefix(self.name)
with SessionCheckout(self._pool) as session:
txn = api.begin_transaction(session.name,
txn_options,
metadata=metadata)
txn_selector = TransactionSelector(id=txn.id)
restart = functools.partial(
api.execute_streaming_sql,
session.name,
dml,
transaction=txn_selector,
params=params_pb,
param_types=param_types,
query_options=query_options,
metadata=metadata,
)
iterator = _restart_on_unavailable(restart)
result_set = StreamedResultSet(iterator)
list(result_set) # consume all partials
return result_set.stats.row_count_lower_bound
def _call_fut(self, restart, span_name=None, session=None, attributes=None):
from google.cloud.spanner_v1.snapshot import _restart_on_unavailable
return _restart_on_unavailable(restart, span_name, session, attributes)
def _call_fut(self, restart):
from google.cloud.spanner_v1.snapshot import _restart_on_unavailable
return _restart_on_unavailable(restart)
