As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Source code for google.cloud.spanner_v1.services.spanner.client

# -*- coding: utf-8 -*-
# Copyright 2020 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
#
#     http://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.
#
from collections import OrderedDict
import os
import re
from typing import Dict, Optional, Iterable, Sequence, Tuple, Type, Union
import pkg_resources

from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials  # type: ignore
from google.auth.transport import mtls  # type: ignore
from google.auth.transport.grpc import SslCredentials  # type: ignore
from google.auth.exceptions import MutualTLSChannelError  # type: ignore
from google.oauth2 import service_account  # type: ignore

try:
    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.Retry, object]  # type: ignore

from google.cloud.spanner_v1.services.spanner import pagers
from google.cloud.spanner_v1.types import commit_response
from google.cloud.spanner_v1.types import mutation
from google.cloud.spanner_v1.types import result_set
from google.cloud.spanner_v1.types import spanner
from google.cloud.spanner_v1.types import transaction
from google.protobuf import struct_pb2  # type: ignore
from google.protobuf import timestamp_pb2  # type: ignore
from google.rpc import status_pb2  # type: ignore
from .transports.base import SpannerTransport, DEFAULT_CLIENT_INFO
from .transports.grpc import SpannerGrpcTransport
from .transports.grpc_asyncio import SpannerGrpcAsyncIOTransport


class SpannerClientMeta(type):
    """Metaclass for the Spanner client.

    This provides class-level methods for building and retrieving
    support objects (e.g. transport) without polluting the client instance
    objects.
    """

    _transport_registry = OrderedDict()  # type: Dict[str, Type[SpannerTransport]]
    _transport_registry["grpc"] = SpannerGrpcTransport
    _transport_registry["grpc_asyncio"] = SpannerGrpcAsyncIOTransport

    def get_transport_class(cls, label: str = None,) -> Type[SpannerTransport]:
        """Returns an appropriate transport class.

        Args:
            label: The name of the desired transport. If none is
                provided, then the first transport in the registry is used.

        Returns:
            The transport class to use.
        """
        # If a specific transport is requested, return that one.
        if label:
            return cls._transport_registry[label]

        # No transport is requested; return the default (that is, the first one
        # in the dictionary).
        return next(iter(cls._transport_registry.values()))


[docs]class SpannerClient(metaclass=SpannerClientMeta): """Cloud Spanner API The Cloud Spanner API can be used to manage sessions and execute transactions on data stored in Cloud Spanner databases. """ @staticmethod def _get_default_mtls_endpoint(api_endpoint): """Converts api endpoint to mTLS endpoint. Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. Args: api_endpoint (Optional[str]): the api endpoint to convert. Returns: str: converted mTLS api endpoint. """ if not api_endpoint: return api_endpoint mtls_endpoint_re = re.compile( r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?" ) m = mtls_endpoint_re.match(api_endpoint) name, mtls, sandbox, googledomain = m.groups() if mtls or not googledomain: return api_endpoint if sandbox: return api_endpoint.replace( "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" ) return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") DEFAULT_ENDPOINT = "spanner.googleapis.com" DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore DEFAULT_ENDPOINT )
[docs] @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. 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_info(info) kwargs["credentials"] = credentials return cls(*args, **kwargs)
[docs] @classmethod def from_service_account_file(cls, filename: str, *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 @property def transport(self) -> SpannerTransport: """Returns the transport used by the client instance. Returns: SpannerTransport: The transport used by the client instance. """ return self._transport
[docs] @staticmethod def database_path(project: str, instance: str, database: str,) -> str: """Returns a fully-qualified database string.""" return "projects/{project}/instances/{instance}/databases/{database}".format( project=project, instance=instance, database=database, )
[docs] @staticmethod def parse_database_path(path: str) -> Dict[str, str]: """Parses a database path into its component segments.""" m = re.match( r"^projects/(?P<project>.+?)/instances/(?P<instance>.+?)/databases/(?P<database>.+?)$", path, ) return m.groupdict() if m else {}
[docs] @staticmethod def session_path(project: str, instance: str, database: str, session: str,) -> str: """Returns a fully-qualified session string.""" return "projects/{project}/instances/{instance}/databases/{database}/sessions/{session}".format( project=project, instance=instance, database=database, session=session, )
[docs] @staticmethod def parse_session_path(path: str) -> Dict[str, str]: """Parses a session path into its component segments.""" m = re.match( r"^projects/(?P<project>.+?)/instances/(?P<instance>.+?)/databases/(?P<database>.+?)/sessions/(?P<session>.+?)$", path, ) return m.groupdict() if m else {}
[docs] @staticmethod def common_billing_account_path(billing_account: str,) -> str: """Returns a fully-qualified billing_account string.""" return "billingAccounts/{billing_account}".format( billing_account=billing_account, )
[docs] @staticmethod def parse_common_billing_account_path(path: str) -> Dict[str, str]: """Parse a billing_account path into its component segments.""" m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_folder_path(folder: str,) -> str: """Returns a fully-qualified folder string.""" return "folders/{folder}".format(folder=folder,)
[docs] @staticmethod def parse_common_folder_path(path: str) -> Dict[str, str]: """Parse a folder path into its component segments.""" m = re.match(r"^folders/(?P<folder>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_organization_path(organization: str,) -> str: """Returns a fully-qualified organization string.""" return "organizations/{organization}".format(organization=organization,)
[docs] @staticmethod def parse_common_organization_path(path: str) -> Dict[str, str]: """Parse a organization path into its component segments.""" m = re.match(r"^organizations/(?P<organization>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_project_path(project: str,) -> str: """Returns a fully-qualified project string.""" return "projects/{project}".format(project=project,)
[docs] @staticmethod def parse_common_project_path(path: str) -> Dict[str, str]: """Parse a project path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)$", path) return m.groupdict() if m else {}
[docs] @staticmethod def common_location_path(project: str, location: str,) -> str: """Returns a fully-qualified location string.""" return "projects/{project}/locations/{location}".format( project=project, location=location, )
[docs] @staticmethod def parse_common_location_path(path: str) -> Dict[str, str]: """Parse a location path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path) return m.groupdict() if m else {}
def __init__( self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Union[str, SpannerTransport, None] = None, client_options: Optional[client_options_lib.ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the spanner client. Args: credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. transport (Union[str, SpannerTransport]): The transport to use. If set to None, a transport is chosen automatically. client_options (google.api_core.client_options.ClientOptions): Custom options for the client. It won't take effect if a ``transport`` instance is provided. (1) The ``api_endpoint`` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the ``api_endpoint`` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be 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. Raises: google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport creation failed for any reason. """ if isinstance(client_options, dict): client_options = client_options_lib.from_dict(client_options) if client_options is None: client_options = client_options_lib.ClientOptions() # Create SSL credentials for mutual TLS if needed. if os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") not in ( "true", "false", ): raise ValueError( "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" ) use_client_cert = ( os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") == "true" ) client_cert_source_func = None is_mtls = False if use_client_cert: if client_options.client_cert_source: is_mtls = True client_cert_source_func = client_options.client_cert_source else: is_mtls = mtls.has_default_client_cert_source() if is_mtls: client_cert_source_func = mtls.default_client_cert_source() else: client_cert_source_func = None # Figure out which api endpoint to use. if client_options.api_endpoint is not None: api_endpoint = client_options.api_endpoint else: use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") if use_mtls_env == "never": api_endpoint = self.DEFAULT_ENDPOINT elif use_mtls_env == "always": api_endpoint = self.DEFAULT_MTLS_ENDPOINT elif use_mtls_env == "auto": if is_mtls: api_endpoint = self.DEFAULT_MTLS_ENDPOINT else: api_endpoint = self.DEFAULT_ENDPOINT else: raise MutualTLSChannelError( "Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted " "values: never, auto, always" ) # Save or instantiate the transport. # Ordinarily, we provide the transport, but allowing a custom transport # instance provides an extensibility point for unusual situations. if isinstance(transport, SpannerTransport): # transport is a SpannerTransport instance. if credentials or client_options.credentials_file: raise ValueError( "When providing a transport instance, " "provide its credentials directly." ) if client_options.scopes: raise ValueError( "When providing a transport instance, provide its scopes " "directly." ) self._transport = transport else: Transport = type(self).get_transport_class(transport) self._transport = Transport( credentials=credentials, credentials_file=client_options.credentials_file, host=api_endpoint, scopes=client_options.scopes, client_cert_source_for_mtls=client_cert_source_func, quota_project_id=client_options.quota_project_id, client_info=client_info, always_use_jwt_access=True, )
[docs] def create_session( self, request: Union[spanner.CreateSessionRequest, dict] = None, *, database: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.Session: r"""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 may 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"``. Args: request (Union[google.cloud.spanner_v1.types.CreateSessionRequest, dict]): The request object. The request for [CreateSession][google.spanner.v1.Spanner.CreateSession]. database (str): Required. The database in which the new session is created. This corresponds to the ``database`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.Session: A session in the Cloud Spanner API. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([database]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.CreateSessionRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.CreateSessionRequest): request = spanner.CreateSessionRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if database is not None: request.database = database # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.create_session] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("database", request.database),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def batch_create_sessions( self, request: Union[spanner.BatchCreateSessionsRequest, dict] = None, *, database: str = None, session_count: int = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.BatchCreateSessionsResponse: r"""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. Args: request (Union[google.cloud.spanner_v1.types.BatchCreateSessionsRequest, dict]): The request object. The request for [BatchCreateSessions][google.spanner.v1.Spanner.BatchCreateSessions]. database (str): Required. The database in which the new sessions are created. This corresponds to the ``database`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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][google.spanner.v1.BatchCreateSessionsRequest.session_count] as necessary). This corresponds to the ``session_count`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.BatchCreateSessionsResponse: The response for [BatchCreateSessions][google.spanner.v1.Spanner.BatchCreateSessions]. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([database, session_count]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.BatchCreateSessionsRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.BatchCreateSessionsRequest): request = spanner.BatchCreateSessionsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if database is not None: request.database = database if session_count is not None: request.session_count = session_count # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.batch_create_sessions] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("database", request.database),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def get_session( self, request: Union[spanner.GetSessionRequest, dict] = None, *, name: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.Session: r"""Gets a session. Returns ``NOT_FOUND`` if the session does not exist. This is mainly useful for determining whether a session is still alive. Args: request (Union[google.cloud.spanner_v1.types.GetSessionRequest, dict]): The request object. The request for [GetSession][google.spanner.v1.Spanner.GetSession]. name (str): Required. The name of the session to retrieve. This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.Session: A session in the Cloud Spanner API. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.GetSessionRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.GetSessionRequest): request = spanner.GetSessionRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_session] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def list_sessions( self, request: Union[spanner.ListSessionsRequest, dict] = None, *, database: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListSessionsPager: r"""Lists all sessions in a given database. Args: request (Union[google.cloud.spanner_v1.types.ListSessionsRequest, dict]): The request object. The request for [ListSessions][google.spanner.v1.Spanner.ListSessions]. database (str): Required. The database in which to list sessions. This corresponds to the ``database`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.services.spanner.pagers.ListSessionsPager: The response for [ListSessions][google.spanner.v1.Spanner.ListSessions]. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([database]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.ListSessionsRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ListSessionsRequest): request = spanner.ListSessionsRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if database is not None: request.database = database # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.list_sessions] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("database", request.database),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.ListSessionsPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response
[docs] def delete_session( self, request: Union[spanner.DeleteSessionRequest, dict] = None, *, name: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Ends a session, releasing server resources associated with it. This will asynchronously trigger cancellation of any operations that are running with this session. Args: request (Union[google.cloud.spanner_v1.types.DeleteSessionRequest, dict]): The request object. The request for [DeleteSession][google.spanner.v1.Spanner.DeleteSession]. name (str): Required. The name of the session to delete. This corresponds to the ``name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([name]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.DeleteSessionRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.DeleteSessionRequest): request = spanner.DeleteSessionRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.delete_session] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] def execute_sql( self, request: Union[spanner.ExecuteSqlRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> result_set.ResultSet: r"""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][google.spanner.v1.Transaction] for more details. Larger result sets can be fetched in streaming fashion by calling [ExecuteStreamingSql][google.spanner.v1.Spanner.ExecuteStreamingSql] instead. Args: request (Union[google.cloud.spanner_v1.types.ExecuteSqlRequest, dict]): The request object. The request for [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql] and [ExecuteStreamingSql][google.spanner.v1.Spanner.ExecuteStreamingSql]. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.ResultSet: Results from [Read][google.spanner.v1.Spanner.Read] or [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.ExecuteSqlRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ExecuteSqlRequest): request = spanner.ExecuteSqlRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.execute_sql] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def execute_streaming_sql( self, request: Union[spanner.ExecuteSqlRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> Iterable[result_set.PartialResultSet]: r"""Like [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql], except returns the result set as a stream. Unlike [ExecuteSql][google.spanner.v1.Spanner.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. Args: request (Union[google.cloud.spanner_v1.types.ExecuteSqlRequest, dict]): The request object. The request for [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql] and [ExecuteStreamingSql][google.spanner.v1.Spanner.ExecuteStreamingSql]. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: Iterable[google.cloud.spanner_v1.types.PartialResultSet]: Partial results from a streaming read or SQL query. Streaming reads and SQL queries better tolerate large result sets, large rows, and large values, but are a little trickier to consume. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.ExecuteSqlRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ExecuteSqlRequest): request = spanner.ExecuteSqlRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.execute_streaming_sql] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def execute_batch_dml( self, request: Union[spanner.ExecuteBatchDmlRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.ExecuteBatchDmlResponse: r"""Executes a batch of SQL DML statements. This method allows many statements to be run with lower latency than submitting them sequentially with [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]. Statements are executed in sequential order. A request can succeed even if a statement fails. The [ExecuteBatchDmlResponse.status][google.spanner.v1.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. Args: request (Union[google.cloud.spanner_v1.types.ExecuteBatchDmlRequest, dict]): The request object. The request for [ExecuteBatchDml][google.spanner.v1.Spanner.ExecuteBatchDml]. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.ExecuteBatchDmlResponse: The response for [ExecuteBatchDml][google.spanner.v1.Spanner.ExecuteBatchDml]. Contains a list of [ResultSet][google.spanner.v1.ResultSet] messages, one for each DML statement that has successfully executed, in the same order as the statements in the request. If a statement fails, the status in the response body identifies the cause of the failure. To check for DML statements that failed, use the following approach: 1. Check the status in the response message. The [google.rpc.Code][google.rpc.Code] enum value OK indicates that all statements were executed successfully. 2. If the status was not OK, check the number of result sets in the response. If the response contains N [ResultSet][google.spanner.v1.ResultSet] messages, then statement N+1 in the request failed. Example 1: - Request: 5 DML statements, all executed successfully. - Response: 5 [ResultSet][google.spanner.v1.ResultSet] messages, with the status OK. Example 2: - Request: 5 DML statements. The third statement has a syntax error. - Response: 2 [ResultSet][google.spanner.v1.ResultSet] messages, and a syntax error (INVALID_ARGUMENT) status. The number of [ResultSet][google.spanner.v1.ResultSet] messages indicates that the third statement failed, and the fourth and fifth statements were not executed. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.ExecuteBatchDmlRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ExecuteBatchDmlRequest): request = spanner.ExecuteBatchDmlRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.execute_batch_dml] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def read( self, request: Union[spanner.ReadRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> result_set.ResultSet: r"""Reads rows from the database using key lookups and scans, as a simple key/value style alternative to [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]. This method cannot be used to return a result set larger than 10 MiB; if the read matches more data than that, the read fails with a ``FAILED_PRECONDITION`` error. Reads inside read-write transactions might return ``ABORTED``. If this occurs, the application should restart the transaction from the beginning. See [Transaction][google.spanner.v1.Transaction] for more details. Larger result sets can be yielded in streaming fashion by calling [StreamingRead][google.spanner.v1.Spanner.StreamingRead] instead. Args: request (Union[google.cloud.spanner_v1.types.ReadRequest, dict]): The request object. The request for [Read][google.spanner.v1.Spanner.Read] and [StreamingRead][google.spanner.v1.Spanner.StreamingRead]. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.ResultSet: Results from [Read][google.spanner.v1.Spanner.Read] or [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.ReadRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ReadRequest): request = spanner.ReadRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.read] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def streaming_read( self, request: Union[spanner.ReadRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> Iterable[result_set.PartialResultSet]: r"""Like [Read][google.spanner.v1.Spanner.Read], except returns the result set as a stream. Unlike [Read][google.spanner.v1.Spanner.Read], 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. Args: request (Union[google.cloud.spanner_v1.types.ReadRequest, dict]): The request object. The request for [Read][google.spanner.v1.Spanner.Read] and [StreamingRead][google.spanner.v1.Spanner.StreamingRead]. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: Iterable[google.cloud.spanner_v1.types.PartialResultSet]: Partial results from a streaming read or SQL query. Streaming reads and SQL queries better tolerate large result sets, large rows, and large values, but are a little trickier to consume. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.ReadRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.ReadRequest): request = spanner.ReadRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.streaming_read] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def begin_transaction( self, request: Union[spanner.BeginTransactionRequest, dict] = None, *, session: str = None, options: transaction.TransactionOptions = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> transaction.Transaction: r"""Begins a new transaction. This step can often be skipped: [Read][google.spanner.v1.Spanner.Read], [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql] and [Commit][google.spanner.v1.Spanner.Commit] can begin a new transaction as a side-effect. Args: request (Union[google.cloud.spanner_v1.types.BeginTransactionRequest, dict]): The request object. The request for [BeginTransaction][google.spanner.v1.Spanner.BeginTransaction]. session (str): Required. The session in which the transaction runs. This corresponds to the ``session`` field on the ``request`` instance; if ``request`` is provided, this should not be set. options (google.cloud.spanner_v1.types.TransactionOptions): Required. Options for the new transaction. This corresponds to the ``options`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.Transaction: A transaction. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([session, options]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.BeginTransactionRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.BeginTransactionRequest): request = spanner.BeginTransactionRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if session is not None: request.session = session if options is not None: request.options = options # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.begin_transaction] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def commit( self, request: Union[spanner.CommitRequest, dict] = None, *, session: str = None, transaction_id: bytes = None, mutations: Sequence[mutation.Mutation] = None, single_use_transaction: transaction.TransactionOptions = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> commit_response.CommitResponse: r"""Commits a transaction. The request includes the mutations to be applied to rows in the database. ``Commit`` might return an ``ABORTED`` error. This can occur at any time; commonly, the cause is conflicts with concurrent transactions. However, it can also happen for a variety of other reasons. If ``Commit`` returns ``ABORTED``, the caller should re-attempt the transaction from the beginning, re-using the same session. On very rare occasions, ``Commit`` might return ``UNKNOWN``. This can happen, for example, if the client job experiences a 1+ hour networking failure. At that point, Cloud Spanner has lost track of the transaction outcome and we recommend that you perform another read from the database to see the state of things as they are now. Args: request (Union[google.cloud.spanner_v1.types.CommitRequest, dict]): The request object. The request for [Commit][google.spanner.v1.Spanner.Commit]. session (str): Required. The session in which the transaction to be committed is running. This corresponds to the ``session`` field on the ``request`` instance; if ``request`` is provided, this should not be set. transaction_id (bytes): Commit a previously-started transaction. This corresponds to the ``transaction_id`` field on the ``request`` instance; if ``request`` is provided, this should not be set. mutations (Sequence[google.cloud.spanner_v1.types.Mutation]): The mutations to be executed when this transaction commits. All mutations are applied atomically, in the order they appear in this list. This corresponds to the ``mutations`` field on the ``request`` instance; if ``request`` is provided, this should not be set. single_use_transaction (google.cloud.spanner_v1.types.TransactionOptions): Execute mutations in a temporary transaction. Note that unlike commit of a previously-started transaction, commit with a temporary transaction is non-idempotent. That is, if the ``CommitRequest`` is sent to Cloud Spanner more than once (for instance, due to retries in the application, or in the transport library), it is possible that the mutations are executed more than once. If this is undesirable, use [BeginTransaction][google.spanner.v1.Spanner.BeginTransaction] and [Commit][google.spanner.v1.Spanner.Commit] instead. This corresponds to the ``single_use_transaction`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.CommitResponse: The response for [Commit][google.spanner.v1.Spanner.Commit]. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any( [session, transaction_id, mutations, single_use_transaction] ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.CommitRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.CommitRequest): request = spanner.CommitRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if session is not None: request.session = session if transaction_id is not None: request.transaction_id = transaction_id if mutations is not None: request.mutations = mutations if single_use_transaction is not None: request.single_use_transaction = single_use_transaction # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.commit] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def rollback( self, request: Union[spanner.RollbackRequest, dict] = None, *, session: str = None, transaction_id: bytes = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Rolls back a transaction, releasing any locks it holds. It is a good idea to call this for any transaction that includes one or more [Read][google.spanner.v1.Spanner.Read] or [ExecuteSql][google.spanner.v1.Spanner.ExecuteSql] requests and ultimately decides not to commit. ``Rollback`` returns ``OK`` if it successfully aborts the transaction, the transaction was already aborted, or the transaction is not found. ``Rollback`` never returns ``ABORTED``. Args: request (Union[google.cloud.spanner_v1.types.RollbackRequest, dict]): The request object. The request for [Rollback][google.spanner.v1.Spanner.Rollback]. session (str): Required. The session in which the transaction to roll back is running. This corresponds to the ``session`` field on the ``request`` instance; if ``request`` is provided, this should not be set. transaction_id (bytes): Required. The transaction to roll back. This corresponds to the ``transaction_id`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([session, transaction_id]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a spanner.RollbackRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.RollbackRequest): request = spanner.RollbackRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if session is not None: request.session = session if transaction_id is not None: request.transaction_id = transaction_id # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.rollback] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] def partition_query( self, request: Union[spanner.PartitionQueryRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.PartitionResponse: r"""Creates a set of partition tokens that can be used to execute a query operation in parallel. Each of the returned partition tokens can be used by [ExecuteStreamingSql][google.spanner.v1.Spanner.ExecuteStreamingSql] to specify a subset of the query result to read. The same session and read-only transaction must be used by the PartitionQueryRequest used to create the partition tokens and the ExecuteSqlRequests that use the partition tokens. Partition tokens become invalid when the session used to create them is deleted, is idle for too long, begins a new transaction, or becomes too old. When any of these happen, it is not possible to resume the query, and the whole operation must be restarted from the beginning. Args: request (Union[google.cloud.spanner_v1.types.PartitionQueryRequest, dict]): The request object. The request for [PartitionQuery][google.spanner.v1.Spanner.PartitionQuery] retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.PartitionResponse: The response for [PartitionQuery][google.spanner.v1.Spanner.PartitionQuery] or [PartitionRead][google.spanner.v1.Spanner.PartitionRead] """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.PartitionQueryRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.PartitionQueryRequest): request = spanner.PartitionQueryRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.partition_query] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
[docs] def partition_read( self, request: Union[spanner.PartitionReadRequest, dict] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> spanner.PartitionResponse: r"""Creates a set of partition tokens that can be used to execute a read operation in parallel. Each of the returned partition tokens can be used by [StreamingRead][google.spanner.v1.Spanner.StreamingRead] to specify a subset of the read result to read. The same session and read-only transaction must be used by the PartitionReadRequest used to create the partition tokens and the ReadRequests that use the partition tokens. There are no ordering guarantees on rows returned among the returned partition tokens, or even within each individual StreamingRead call issued with a partition_token. Partition tokens become invalid when the session used to create them is deleted, is idle for too long, begins a new transaction, or becomes too old. When any of these happen, it is not possible to resume the read, and the whole operation must be restarted from the beginning. Args: request (Union[google.cloud.spanner_v1.types.PartitionReadRequest, dict]): The request object. The request for [PartitionRead][google.spanner.v1.Spanner.PartitionRead] retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.spanner_v1.types.PartitionResponse: The response for [PartitionQuery][google.spanner.v1.Spanner.PartitionQuery] or [PartitionRead][google.spanner.v1.Spanner.PartitionRead] """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a spanner.PartitionReadRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, spanner.PartitionReadRequest): request = spanner.PartitionReadRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.partition_read] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("session", request.session),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
def __enter__(self): return self
[docs] def __exit__(self, type, value, traceback): """Releases underlying transport's resources. .. warning:: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients! """ self.transport.close()
try: DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=pkg_resources.get_distribution("google-cloud-spanner",).version, ) except pkg_resources.DistributionNotFound: DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() __all__ = ("SpannerClient",)