async_client.py

# -*- coding: utf-8 -*-
# Copyright 2022 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 functools
import re
from typing import (
    Dict,
    Mapping,
    MutableMapping,
    MutableSequence,
    Optional,
    AsyncIterable,
    Awaitable,
    Sequence,
    Tuple,
    Type,
    Union,
)

from google.cloud.spanner_v1 import gapic_version as package_version

from google.api_core.client_options import ClientOptions
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.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_asyncio import SpannerGrpcAsyncIOTransport
from .client import SpannerClient


class SpannerAsyncClient:
    """Cloud Spanner API
    The Cloud Spanner API can be used to manage sessions and execute
    transactions on data stored in Cloud Spanner databases.
    """

    _client: SpannerClient

    DEFAULT_ENDPOINT = SpannerClient.DEFAULT_ENDPOINT
    DEFAULT_MTLS_ENDPOINT = SpannerClient.DEFAULT_MTLS_ENDPOINT

    database_path = staticmethod(SpannerClient.database_path)
    parse_database_path = staticmethod(SpannerClient.parse_database_path)
    session_path = staticmethod(SpannerClient.session_path)
    parse_session_path = staticmethod(SpannerClient.parse_session_path)
    common_billing_account_path = staticmethod(
        SpannerClient.common_billing_account_path
    )
    parse_common_billing_account_path = staticmethod(
        SpannerClient.parse_common_billing_account_path
    )
    common_folder_path = staticmethod(SpannerClient.common_folder_path)
    parse_common_folder_path = staticmethod(SpannerClient.parse_common_folder_path)
    common_organization_path = staticmethod(SpannerClient.common_organization_path)
    parse_common_organization_path = staticmethod(
        SpannerClient.parse_common_organization_path
    )
    common_project_path = staticmethod(SpannerClient.common_project_path)
    parse_common_project_path = staticmethod(SpannerClient.parse_common_project_path)
    common_location_path = staticmethod(SpannerClient.common_location_path)
    parse_common_location_path = staticmethod(SpannerClient.parse_common_location_path)

    @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:
            SpannerAsyncClient: The constructed client.
        """
        return SpannerClient.from_service_account_info.__func__(SpannerAsyncClient, info, *args, **kwargs)  # type: ignore

    @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:
            SpannerAsyncClient: The constructed client.
        """
        return SpannerClient.from_service_account_file.__func__(SpannerAsyncClient, filename, *args, **kwargs)  # type: ignore

    from_service_account_json = from_service_account_file

    @classmethod
    def get_mtls_endpoint_and_cert_source(
        cls, client_options: Optional[ClientOptions] = None
    ):
        """Return the API endpoint and client cert source for mutual TLS.

        The client cert source is determined in the following order:
        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
        client cert source is None.
        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
        default client cert source exists, use the default one; otherwise the client cert
        source is None.

        The API endpoint is determined in the following order:
        (1) if `client_options.api_endpoint` if provided, use the provided one.
        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
        default mTLS endpoint; if the environment variable is "never", use the default API
        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
        use the default API endpoint.

        More details can be found at https://google.aip.dev/auth/4114.

        Args:
            client_options (google.api_core.client_options.ClientOptions): Custom options for the
                client. Only the `api_endpoint` and `client_cert_source` properties may be used
                in this method.

        Returns:
            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
                client cert source to use.

        Raises:
            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
        """
        return SpannerClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore

    @property
    def transport(self) -> SpannerTransport:
        """Returns the transport used by the client instance.

        Returns:
            SpannerTransport: The transport used by the client instance.
        """
        return self._client.transport

    get_transport_class = functools.partial(
        type(SpannerClient).get_transport_class, type(SpannerClient)
    )

    def __init__(
        self,
        *,
        credentials: Optional[ga_credentials.Credentials] = None,
        transport: Union[str, SpannerTransport] = "grpc_asyncio",
        client_options: Optional[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 (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.

        Raises:
            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
                creation failed for any reason.
        """
        self._client = SpannerClient(
            credentials=credentials,
            transport=transport,
            client_options=client_options,
            client_info=client_info,
        )

    async def create_session(
        self,
        request: Optional[Union[spanner.CreateSessionRequest, dict]] = None,
        *,
        database: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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"``.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_create_session():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.CreateSessionRequest(
                    database="database_value",
                )

                # Make the request
                response = await client.create_session(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.CreateSessionRequest, dict]]):
                The request object. The request for
                [CreateSession][google.spanner.v1.Spanner.CreateSession].
            database (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.create_session,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def batch_create_sessions(
        self,
        request: Optional[Union[spanner.BatchCreateSessionsRequest, dict]] = None,
        *,
        database: Optional[str] = None,
        session_count: Optional[int] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_batch_create_sessions():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.BatchCreateSessionsRequest(
                    database="database_value",
                    session_count=1420,
                )

                # Make the request
                response = await client.batch_create_sessions(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.BatchCreateSessionsRequest, dict]]):
                The request object. The request for
                [BatchCreateSessions][google.spanner.v1.Spanner.BatchCreateSessions].
            database (:class:`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 (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.batch_create_sessions,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=60.0,
            ),
            default_timeout=60.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def get_session(
        self,
        request: Optional[Union[spanner.GetSessionRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_get_session():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.GetSessionRequest(
                    name="name_value",
                )

                # Make the request
                response = await client.get_session(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.GetSessionRequest, dict]]):
                The request object. The request for
                [GetSession][google.spanner.v1.Spanner.GetSession].
            name (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.get_session,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def list_sessions(
        self,
        request: Optional[Union[spanner.ListSessionsRequest, dict]] = None,
        *,
        database: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> pagers.ListSessionsAsyncPager:
        r"""Lists all sessions in a given database.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_list_sessions():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.ListSessionsRequest(
                    database="database_value",
                )

                # Make the request
                page_result = client.list_sessions(request=request)

                # Handle the response
                async for response in page_result:
                    print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.ListSessionsRequest, dict]]):
                The request object. The request for
                [ListSessions][google.spanner.v1.Spanner.ListSessions].
            database (:class:`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.ListSessionsAsyncPager:
                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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.list_sessions,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=3600.0,
            ),
            default_timeout=3600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # This method is paged; wrap the response in a pager, which provides
        # an `__aiter__` convenience method.
        response = pagers.ListSessionsAsyncPager(
            method=rpc,
            request=request,
            response=response,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def delete_session(
        self,
        request: Optional[Union[spanner.DeleteSessionRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_delete_session():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.DeleteSessionRequest(
                    name="name_value",
                )

                # Make the request
                await client.delete_session(request=request)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.DeleteSessionRequest, dict]]):
                The request object. The request for
                [DeleteSession][google.spanner.v1.Spanner.DeleteSession].
            name (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.delete_session,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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.
        await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    async def execute_sql(
        self,
        request: Optional[Union[spanner.ExecuteSqlRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_execute_sql():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.ExecuteSqlRequest(
                    session="session_value",
                    sql="sql_value",
                )

                # Make the request
                response = await client.execute_sql(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[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.
        request = spanner.ExecuteSqlRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.execute_sql,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def execute_streaming_sql(
        self,
        request: Optional[Union[spanner.ExecuteSqlRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> Awaitable[AsyncIterable[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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_execute_streaming_sql():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.ExecuteSqlRequest(
                    session="session_value",
                    sql="sql_value",
                )

                # Make the request
                stream = await client.execute_streaming_sql(request=request)

                # Handle the response
                async for response in stream:
                    print(response)

        Args:
            request (Optional[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:
            AsyncIterable[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.
        request = spanner.ExecuteSqlRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.execute_streaming_sql,
            default_timeout=3600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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

    async def execute_batch_dml(
        self,
        request: Optional[Union[spanner.ExecuteBatchDmlRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_execute_batch_dml():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                statements = spanner_v1.Statement()
                statements.sql = "sql_value"

                request = spanner_v1.ExecuteBatchDmlRequest(
                    session="session_value",
                    statements=statements,
                    seqno=550,
                )

                # Make the request
                response = await client.execute_batch_dml(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[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.
        request = spanner.ExecuteBatchDmlRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.execute_batch_dml,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def read(
        self,
        request: Optional[Union[spanner.ReadRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_read():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.ReadRequest(
                    session="session_value",
                    table="table_value",
                    columns=['columns_value1', 'columns_value2'],
                )

                # Make the request
                response = await client.read(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[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.
        request = spanner.ReadRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.read,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def streaming_read(
        self,
        request: Optional[Union[spanner.ReadRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> Awaitable[AsyncIterable[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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_streaming_read():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.ReadRequest(
                    session="session_value",
                    table="table_value",
                    columns=['columns_value1', 'columns_value2'],
                )

                # Make the request
                stream = await client.streaming_read(request=request)

                # Handle the response
                async for response in stream:
                    print(response)

        Args:
            request (Optional[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:
            AsyncIterable[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.
        request = spanner.ReadRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.streaming_read,
            default_timeout=3600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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

    async def begin_transaction(
        self,
        request: Optional[Union[spanner.BeginTransactionRequest, dict]] = None,
        *,
        session: Optional[str] = None,
        options: Optional[transaction.TransactionOptions] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_begin_transaction():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.BeginTransactionRequest(
                    session="session_value",
                )

                # Make the request
                response = await client.begin_transaction(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.BeginTransactionRequest, dict]]):
                The request object. The request for
                [BeginTransaction][google.spanner.v1.Spanner.BeginTransaction].
            session (:class:`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 (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.begin_transaction,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def commit(
        self,
        request: Optional[Union[spanner.CommitRequest, dict]] = None,
        *,
        session: Optional[str] = None,
        transaction_id: Optional[bytes] = None,
        mutations: Optional[MutableSequence[mutation.Mutation]] = None,
        single_use_transaction: Optional[transaction.TransactionOptions] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_commit():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.CommitRequest(
                    transaction_id=b'transaction_id_blob',
                    session="session_value",
                )

                # Make the request
                response = await client.commit(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.CommitRequest, dict]]):
                The request object. The request for
                [Commit][google.spanner.v1.Spanner.Commit].
            session (:class:`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 (:class:`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 (:class:`MutableSequence[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 (:class:`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.
        # Quick 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."
            )

        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 single_use_transaction is not None:
            request.single_use_transaction = single_use_transaction
        if mutations:
            request.mutations.extend(mutations)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.commit,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=3600.0,
            ),
            default_timeout=3600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def rollback(
        self,
        request: Optional[Union[spanner.RollbackRequest, dict]] = None,
        *,
        session: Optional[str] = None,
        transaction_id: Optional[bytes] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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``.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_rollback():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.RollbackRequest(
                    session="session_value",
                    transaction_id=b'transaction_id_blob',
                )

                # Make the request
                await client.rollback(request=request)

        Args:
            request (Optional[Union[google.cloud.spanner_v1.types.RollbackRequest, dict]]):
                The request object. The request for
                [Rollback][google.spanner.v1.Spanner.Rollback].
            session (:class:`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 (:class:`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.
        # Quick 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."
            )

        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 = gapic_v1.method_async.wrap_method(
            self._client._transport.rollback,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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.
        await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    async def partition_query(
        self,
        request: Optional[Union[spanner.PartitionQueryRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_partition_query():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.PartitionQueryRequest(
                    session="session_value",
                    sql="sql_value",
                )

                # Make the request
                response = await client.partition_query(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[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.
        request = spanner.PartitionQueryRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.partition_query,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def partition_read(
        self,
        request: Optional[Union[spanner.PartitionReadRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        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.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import spanner_v1

            async def sample_partition_read():
                # Create a client
                client = spanner_v1.SpannerAsyncClient()

                # Initialize request argument(s)
                request = spanner_v1.PartitionReadRequest(
                    session="session_value",
                    table="table_value",
                )

                # Make the request
                response = await client.partition_read(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[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.
        request = spanner.PartitionReadRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.partition_read,
            default_retry=retries.Retry(
                initial=0.25,
                maximum=32.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=30.0,
            ),
            default_timeout=30.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def __aenter__(self) -> "SpannerAsyncClient":
        return self

    async def __aexit__(self, exc_type, exc, tb):
        await self.transport.close()


DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
    gapic_version=package_version.__version__
)


__all__ = ("SpannerAsyncClient",)