/
spanner_client.py
1898 lines (1694 loc) · 85 KB
/
spanner_client.py
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# -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Accesses the google.spanner.v1 Spanner API."""
import functools
import pkg_resources
import warnings
from google.oauth2 import service_account
import google.api_core.client_options
import google.api_core.gapic_v1.client_info
import google.api_core.gapic_v1.config
import google.api_core.gapic_v1.method
import google.api_core.gapic_v1.routing_header
import google.api_core.grpc_helpers
import google.api_core.page_iterator
import google.api_core.path_template
import google.api_core.protobuf_helpers
import grpc
from google.cloud.spanner_v1.gapic import enums
from google.cloud.spanner_v1.gapic import spanner_client_config
from google.cloud.spanner_v1.gapic.transports import spanner_grpc_transport
from google.cloud.spanner_v1.proto import keys_pb2
from google.cloud.spanner_v1.proto import mutation_pb2
from google.cloud.spanner_v1.proto import result_set_pb2
from google.cloud.spanner_v1.proto import spanner_pb2
from google.cloud.spanner_v1.proto import spanner_pb2_grpc
from google.cloud.spanner_v1.proto import transaction_pb2
from google.protobuf import empty_pb2
from google.protobuf import struct_pb2
_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-spanner").version
class SpannerClient(object):
"""
Cloud Spanner API
The Cloud Spanner API can be used to manage sessions and execute
transactions on data stored in Cloud Spanner databases.
"""
SERVICE_ADDRESS = "spanner.googleapis.com:443"
"""The default address of the service."""
# The name of the interface for this client. This is the key used to
# find the method configuration in the client_config dictionary.
_INTERFACE_NAME = "google.spanner.v1.Spanner"
@classmethod
def from_service_account_file(cls, filename, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
SpannerClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_file(filename)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
from_service_account_json = from_service_account_file
@classmethod
def database_path(cls, project, instance, database):
"""Return a fully-qualified database string."""
return google.api_core.path_template.expand(
"projects/{project}/instances/{instance}/databases/{database}",
project=project,
instance=instance,
database=database,
)
@classmethod
def session_path(cls, project, instance, database, session):
"""Return a fully-qualified session string."""
return google.api_core.path_template.expand(
"projects/{project}/instances/{instance}/databases/{database}/sessions/{session}",
project=project,
instance=instance,
database=database,
session=session,
)
def __init__(
self,
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
):
"""Constructor.
Args:
transport (Union[~.SpannerGrpcTransport,
Callable[[~.Credentials, type], ~.SpannerGrpcTransport]): A transport
instance, responsible for actually making the API calls.
The default transport uses the gRPC protocol.
This argument may also be a callable which returns a
transport instance. Callables will be sent the credentials
as the first argument and the default transport class as
the second argument.
channel (grpc.Channel): DEPRECATED. A ``Channel`` instance
through which to make calls. This argument is mutually exclusive
with ``credentials``; providing both will raise an exception.
credentials (google.auth.credentials.Credentials): The
authorization credentials to attach to requests. These
credentials identify this application to the service. If none
are specified, the client will attempt to ascertain the
credentials from the environment.
This argument is mutually exclusive with providing a
transport instance to ``transport``; doing so will raise
an exception.
client_config (dict): DEPRECATED. A dictionary of call options for
each method. If not specified, the default configuration is used.
client_info (google.api_core.gapic_v1.client_info.ClientInfo):
The client info used to send a user-agent string along with
API requests. If ``None``, then default info will be used.
Generally, you only need to set this if you're developing
your own client library.
client_options (Union[dict, google.api_core.client_options.ClientOptions]):
Client options used to set user options on the client. API Endpoint
should be set through client_options.
"""
# Raise deprecation warnings for things we want to go away.
if client_config is not None:
warnings.warn(
"The `client_config` argument is deprecated.",
PendingDeprecationWarning,
stacklevel=2,
)
else:
client_config = spanner_client_config.config
if channel:
warnings.warn(
"The `channel` argument is deprecated; use " "`transport` instead.",
PendingDeprecationWarning,
stacklevel=2,
)
api_endpoint = self.SERVICE_ADDRESS
if client_options:
if type(client_options) == dict:
client_options = google.api_core.client_options.from_dict(
client_options
)
if client_options.api_endpoint:
api_endpoint = client_options.api_endpoint
# Instantiate the transport.
# The transport is responsible for handling serialization and
# deserialization and actually sending data to the service.
if transport:
if callable(transport):
self.transport = transport(
credentials=credentials,
default_class=spanner_grpc_transport.SpannerGrpcTransport,
address=api_endpoint,
)
else:
if credentials:
raise ValueError(
"Received both a transport instance and "
"credentials; these are mutually exclusive."
)
self.transport = transport
else:
self.transport = spanner_grpc_transport.SpannerGrpcTransport(
address=api_endpoint, channel=channel, credentials=credentials
)
if client_info is None:
client_info = google.api_core.gapic_v1.client_info.ClientInfo(
gapic_version=_GAPIC_LIBRARY_VERSION
)
else:
client_info.gapic_version = _GAPIC_LIBRARY_VERSION
self._client_info = client_info
# Parse out the default settings for retry and timeout for each RPC
# from the client configuration.
# (Ordinarily, these are the defaults specified in the `*_config.py`
# file next to this one.)
self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
client_config["interfaces"][self._INTERFACE_NAME]
)
# Save a dictionary of cached API call functions.
# These are the actual callables which invoke the proper
# transport methods, wrapped with `wrap_method` to add retry,
# timeout, and the like.
self._inner_api_calls = {}
# Service calls
def create_session(
self,
database,
session=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a new session. A session can be used to perform transactions
that read and/or modify data in a Cloud Spanner database. Sessions are
meant to be reused for many consecutive transactions.
Sessions can only execute one transaction at a time. To execute multiple
concurrent read-write/write-only transactions, create multiple sessions.
Note that standalone reads and queries use a transaction internally, and
count toward the one transaction limit.
Active sessions use additional server resources, so it is a good idea to
delete idle and unneeded sessions. Aside from explicit deletes, Cloud
Spanner can delete sessions for which no operations are sent for more
than an hour. If a session is deleted, requests to it return
``NOT_FOUND``.
Idle sessions can be kept alive by sending a trivial SQL query
periodically, e.g., ``"SELECT 1"``.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> database = client.database_path('[PROJECT]', '[INSTANCE]', '[DATABASE]')
>>>
>>> response = client.create_session(database)
Args:
database (str): Required. The database in which the new session is created.
session (Union[dict, ~google.cloud.spanner_v1.types.Session]): The session to create.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Session`
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.spanner_v1.types.Session` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "create_session" not in self._inner_api_calls:
self._inner_api_calls[
"create_session"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.create_session,
default_retry=self._method_configs["CreateSession"].retry,
default_timeout=self._method_configs["CreateSession"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.CreateSessionRequest(database=database, session=session)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("database", database)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
return self._inner_api_calls["create_session"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def batch_create_sessions(
self,
database,
session_count,
session_template=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates multiple new sessions.
This API can be used to initialize a session cache on the clients.
See https://goo.gl/TgSFN2 for best practices on session cache management.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> database = client.database_path('[PROJECT]', '[INSTANCE]', '[DATABASE]')
>>>
>>> # TODO: Initialize `session_count`:
>>> session_count = 0
>>>
>>> response = client.batch_create_sessions(database, session_count)
Args:
database (str): Required. The database in which the new sessions are created.
session_count (int): Required. The number of sessions to be created in this batch call. The
API may return fewer than the requested number of sessions. If a
specific number of sessions are desired, the client can make additional
calls to BatchCreateSessions (adjusting ``session_count`` as necessary).
session_template (Union[dict, ~google.cloud.spanner_v1.types.Session]): Parameters to be applied to each created session.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Session`
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.spanner_v1.types.BatchCreateSessionsResponse` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "batch_create_sessions" not in self._inner_api_calls:
self._inner_api_calls[
"batch_create_sessions"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.batch_create_sessions,
default_retry=self._method_configs["BatchCreateSessions"].retry,
default_timeout=self._method_configs["BatchCreateSessions"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.BatchCreateSessionsRequest(
database=database,
session_count=session_count,
session_template=session_template,
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("database", database)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
return self._inner_api_calls["batch_create_sessions"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def get_session(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Gets a session. Returns ``NOT_FOUND`` if the session does not exist.
This is mainly useful for determining whether a session is still alive.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> name = client.session_path('[PROJECT]', '[INSTANCE]', '[DATABASE]', '[SESSION]')
>>>
>>> response = client.get_session(name)
Args:
name (str): Required. The name of the session to retrieve.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.spanner_v1.types.Session` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "get_session" not in self._inner_api_calls:
self._inner_api_calls[
"get_session"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.get_session,
default_retry=self._method_configs["GetSession"].retry,
default_timeout=self._method_configs["GetSession"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.GetSessionRequest(name=name)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("name", name)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
return self._inner_api_calls["get_session"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def list_sessions(
self,
database,
page_size=None,
filter_=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Lists all sessions in a given database.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> database = client.database_path('[PROJECT]', '[INSTANCE]', '[DATABASE]')
>>>
>>> # Iterate over all results
>>> for element in client.list_sessions(database):
... # process element
... pass
>>>
>>>
>>> # Alternatively:
>>>
>>> # Iterate over results one page at a time
>>> for page in client.list_sessions(database).pages:
... for element in page:
... # process element
... pass
Args:
database (str): Required. The database in which to list sessions.
page_size (int): The maximum number of resources contained in the
underlying API response. If page streaming is performed per-
resource, this parameter does not affect the return value. If page
streaming is performed per-page, this determines the maximum number
of resources in a page.
filter_ (str): An expression for filtering the results of the request. Filter rules are
case insensitive. The fields eligible for filtering are:
- ``labels.key`` where key is the name of a label
Some examples of using filters are:
- ``labels.env:*`` --> The session has the label "env".
- ``labels.env:dev`` --> The session has the label "env" and the value
of the label contains the string "dev".
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.api_core.page_iterator.PageIterator` instance.
An iterable of :class:`~google.cloud.spanner_v1.types.Session` instances.
You can also iterate over the pages of the response
using its `pages` property.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "list_sessions" not in self._inner_api_calls:
self._inner_api_calls[
"list_sessions"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.list_sessions,
default_retry=self._method_configs["ListSessions"].retry,
default_timeout=self._method_configs["ListSessions"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.ListSessionsRequest(
database=database, page_size=page_size, filter=filter_
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("database", database)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
iterator = google.api_core.page_iterator.GRPCIterator(
client=None,
method=functools.partial(
self._inner_api_calls["list_sessions"],
retry=retry,
timeout=timeout,
metadata=metadata,
),
request=request,
items_field="sessions",
request_token_field="page_token",
response_token_field="next_page_token",
)
return iterator
def delete_session(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Ends a session, releasing server resources associated with it. This will
asynchronously trigger cancellation of any operations that are running with
this session.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> name = client.session_path('[PROJECT]', '[INSTANCE]', '[DATABASE]', '[SESSION]')
>>>
>>> client.delete_session(name)
Args:
name (str): Required. The name of the session to delete.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "delete_session" not in self._inner_api_calls:
self._inner_api_calls[
"delete_session"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.delete_session,
default_retry=self._method_configs["DeleteSession"].retry,
default_timeout=self._method_configs["DeleteSession"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.DeleteSessionRequest(name=name)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("name", name)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
self._inner_api_calls["delete_session"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def execute_sql(
self,
session,
sql,
transaction=None,
params=None,
param_types=None,
resume_token=None,
query_mode=None,
partition_token=None,
seqno=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Executes an SQL statement, returning all results in a single reply. This
method cannot be used to return a result set larger than 10 MiB; if the
query yields more data than that, the query fails with a
``FAILED_PRECONDITION`` error.
Operations inside read-write transactions might return ``ABORTED``. If
this occurs, the application should restart the transaction from the
beginning. See ``Transaction`` for more details.
Larger result sets can be fetched in streaming fashion by calling
``ExecuteStreamingSql`` instead.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> session = client.session_path('[PROJECT]', '[INSTANCE]', '[DATABASE]', '[SESSION]')
>>>
>>> # TODO: Initialize `sql`:
>>> sql = ''
>>>
>>> response = client.execute_sql(session, sql)
Args:
session (str): Required. The session in which the SQL query should be performed.
sql (str): Required. The SQL string.
transaction (Union[dict, ~google.cloud.spanner_v1.types.TransactionSelector]): The transaction to use.
For queries, if none is provided, the default is a temporary read-only
transaction with strong concurrency.
Standard DML statements require a read-write transaction. To protect
against replays, single-use transactions are not supported. The caller
must either supply an existing transaction ID or begin a new transaction.
Partitioned DML requires an existing Partitioned DML transaction ID.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.TransactionSelector`
params (Union[dict, ~google.cloud.spanner_v1.types.Struct]): Parameter names and values that bind to placeholders in the SQL string.
A parameter placeholder consists of the ``@`` character followed by the
parameter name (for example, ``@firstName``). Parameter names can
contain letters, numbers, and underscores.
Parameters can appear anywhere that a literal value is expected. The
same parameter name can be used more than once, for example:
``"WHERE id > @msg_id AND id < @msg_id + 100"``
It is an error to execute a SQL statement with unbound parameters.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Struct`
param_types (dict[str -> Union[dict, ~google.cloud.spanner_v1.types.Type]]): It is not always possible for Cloud Spanner to infer the right SQL type
from a JSON value. For example, values of type ``BYTES`` and values of
type ``STRING`` both appear in ``params`` as JSON strings.
In these cases, ``param_types`` can be used to specify the exact SQL
type for some or all of the SQL statement parameters. See the definition
of ``Type`` for more information about SQL types.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Type`
resume_token (bytes): If this request is resuming a previously interrupted SQL statement
execution, ``resume_token`` should be copied from the last
``PartialResultSet`` yielded before the interruption. Doing this enables
the new SQL statement execution to resume where the last one left off.
The rest of the request parameters must exactly match the request that
yielded this token.
query_mode (~google.cloud.spanner_v1.types.QueryMode): Used to control the amount of debugging information returned in
``ResultSetStats``. If ``partition_token`` is set, ``query_mode`` can
only be set to ``QueryMode.NORMAL``.
partition_token (bytes): If present, results will be restricted to the specified partition
previously created using PartitionQuery(). There must be an exact match
for the values of fields common to this message and the
PartitionQueryRequest message used to create this partition\_token.
seqno (long): A per-transaction sequence number used to identify this request. This field
makes each request idempotent such that if the request is received multiple
times, at most one will succeed.
The sequence number must be monotonically increasing within the
transaction. If a request arrives for the first time with an out-of-order
sequence number, the transaction may be aborted. Replays of previously
handled requests will yield the same response as the first execution.
Required for DML statements. Ignored for queries.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.spanner_v1.types.ResultSet` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "execute_sql" not in self._inner_api_calls:
self._inner_api_calls[
"execute_sql"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.execute_sql,
default_retry=self._method_configs["ExecuteSql"].retry,
default_timeout=self._method_configs["ExecuteSql"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.ExecuteSqlRequest(
session=session,
sql=sql,
transaction=transaction,
params=params,
param_types=param_types,
resume_token=resume_token,
query_mode=query_mode,
partition_token=partition_token,
seqno=seqno,
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("session", session)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
return self._inner_api_calls["execute_sql"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def execute_streaming_sql(
self,
session,
sql,
transaction=None,
params=None,
param_types=None,
resume_token=None,
query_mode=None,
partition_token=None,
seqno=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Like ``ExecuteSql``, except returns the result set as a stream. Unlike
``ExecuteSql``, there is no limit on the size of the returned result
set. However, no individual row in the result set can exceed 100 MiB,
and no column value can exceed 10 MiB.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> session = client.session_path('[PROJECT]', '[INSTANCE]', '[DATABASE]', '[SESSION]')
>>>
>>> # TODO: Initialize `sql`:
>>> sql = ''
>>>
>>> for element in client.execute_streaming_sql(session, sql):
... # process element
... pass
Args:
session (str): Required. The session in which the SQL query should be performed.
sql (str): Required. The SQL string.
transaction (Union[dict, ~google.cloud.spanner_v1.types.TransactionSelector]): The transaction to use.
For queries, if none is provided, the default is a temporary read-only
transaction with strong concurrency.
Standard DML statements require a read-write transaction. To protect
against replays, single-use transactions are not supported. The caller
must either supply an existing transaction ID or begin a new transaction.
Partitioned DML requires an existing Partitioned DML transaction ID.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.TransactionSelector`
params (Union[dict, ~google.cloud.spanner_v1.types.Struct]): Parameter names and values that bind to placeholders in the SQL string.
A parameter placeholder consists of the ``@`` character followed by the
parameter name (for example, ``@firstName``). Parameter names can
contain letters, numbers, and underscores.
Parameters can appear anywhere that a literal value is expected. The
same parameter name can be used more than once, for example:
``"WHERE id > @msg_id AND id < @msg_id + 100"``
It is an error to execute a SQL statement with unbound parameters.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Struct`
param_types (dict[str -> Union[dict, ~google.cloud.spanner_v1.types.Type]]): It is not always possible for Cloud Spanner to infer the right SQL type
from a JSON value. For example, values of type ``BYTES`` and values of
type ``STRING`` both appear in ``params`` as JSON strings.
In these cases, ``param_types`` can be used to specify the exact SQL
type for some or all of the SQL statement parameters. See the definition
of ``Type`` for more information about SQL types.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.spanner_v1.types.Type`
resume_token (bytes): If this request is resuming a previously interrupted SQL statement
execution, ``resume_token`` should be copied from the last
``PartialResultSet`` yielded before the interruption. Doing this enables
the new SQL statement execution to resume where the last one left off.
The rest of the request parameters must exactly match the request that
yielded this token.
query_mode (~google.cloud.spanner_v1.types.QueryMode): Used to control the amount of debugging information returned in
``ResultSetStats``. If ``partition_token`` is set, ``query_mode`` can
only be set to ``QueryMode.NORMAL``.
partition_token (bytes): If present, results will be restricted to the specified partition
previously created using PartitionQuery(). There must be an exact match
for the values of fields common to this message and the
PartitionQueryRequest message used to create this partition\_token.
seqno (long): A per-transaction sequence number used to identify this request. This field
makes each request idempotent such that if the request is received multiple
times, at most one will succeed.
The sequence number must be monotonically increasing within the
transaction. If a request arrives for the first time with an out-of-order
sequence number, the transaction may be aborted. Replays of previously
handled requests will yield the same response as the first execution.
Required for DML statements. Ignored for queries.
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
Iterable[~google.cloud.spanner_v1.types.PartialResultSet].
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "execute_streaming_sql" not in self._inner_api_calls:
self._inner_api_calls[
"execute_streaming_sql"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.execute_streaming_sql,
default_retry=self._method_configs["ExecuteStreamingSql"].retry,
default_timeout=self._method_configs["ExecuteStreamingSql"].timeout,
client_info=self._client_info,
)
request = spanner_pb2.ExecuteSqlRequest(
session=session,
sql=sql,
transaction=transaction,
params=params,
param_types=param_types,
resume_token=resume_token,
query_mode=query_mode,
partition_token=partition_token,
seqno=seqno,
)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("session", session)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header
)
metadata.append(routing_metadata)
return self._inner_api_calls["execute_streaming_sql"](
request, retry=retry, timeout=timeout, metadata=metadata
)
def execute_batch_dml(
self,
session,
transaction,
statements,
seqno,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Executes a batch of SQL DML statements. This method allows many
statements to be run with lower latency than submitting them
sequentially with ``ExecuteSql``.
Statements are executed in sequential order. A request can succeed even
if a statement fails. The ``ExecuteBatchDmlResponse.status`` field in
the response provides information about the statement that failed.
Clients must inspect this field to determine whether an error occurred.
Execution stops after the first failed statement; the remaining
statements are not executed.
Example:
>>> from google.cloud import spanner_v1
>>>
>>> client = spanner_v1.SpannerClient()
>>>
>>> session = client.session_path('[PROJECT]', '[INSTANCE]', '[DATABASE]', '[SESSION]')
>>>
>>> # TODO: Initialize `transaction`: