Class SpannerClient (3.16.0)

SpannerClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.spanner_v1.services.spanner.transports.base.SpannerTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`SpannerTransport`	The transport used by the client instance.

Methods

SpannerClient

SpannerClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.spanner_v1.services.spanner.transports.base.SpannerTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the spanner client.

Parameters
Name	Description
`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.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

batch_create_sessions

batch_create_sessions(request: Optional[Union[google.cloud.spanner_v1.types.spanner.BatchCreateSessionsRequest, dict]] = None, *, database: Optional[str] = None, session_count: Optional[int] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.BatchCreateSessionsResponse`	The response for `BatchCreateSessions][google.spanner.v1.Spanner.BatchCreateSessions]`.

begin_transaction

begin_transaction(request: Optional[Union[google.cloud.spanner_v1.types.spanner.BeginTransactionRequest, dict]] = None, *, session: Optional[str] = None, options: Optional[google.cloud.spanner_v1.types.transaction.TransactionOptions] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.Transaction`	A transaction.

commit

commit(request: Optional[Union[google.cloud.spanner_v1.types.spanner.CommitRequest, dict]] = None, *, session: Optional[str] = None, transaction_id: Optional[bytes] = None, mutations: Optional[Sequence[google.cloud.spanner_v1.types.mutation.Mutation]] = None, single_use_transaction: Optional[google.cloud.spanner_v1.types.transaction.TransactionOptions] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.CommitResponse`	The response for `Commit][google.spanner.v1.Spanner.Commit]`.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_session

create_session(request: Optional[Union[google.cloud.spanner_v1.types.spanner.CreateSessionRequest, dict]] = None, *, database: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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".

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.Session`	A session in the Cloud Spanner API.

database_path

database_path(project: str, instance: str, database: str)

Returns a fully-qualified database string.

delete_session

delete_session(request: Optional[Union[google.cloud.spanner_v1.types.spanner.DeleteSessionRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Ends a session, releasing server resources associated with it. This will asynchronously trigger cancellation of any operations that are running with this session.

from google.cloud import spanner_v1

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

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

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

Parameters
Name	Description
`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.

execute_batch_dml

execute_batch_dml(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ExecuteBatchDmlRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

    # 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 = client.execute_batch_dml(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`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

Type Description

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.

execute_sql

execute_sql(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ExecuteSqlRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.ResultSet`	Results from `Read][google.spanner.v1.Spanner.Read]` or `ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]`.

execute_streaming_sql

execute_streaming_sql(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ExecuteSqlRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

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

Parameters
Name	Description
`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
Type	Description
`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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`SpannerClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`SpannerClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`SpannerClient`	The constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.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 variabel 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.

Parameter
Name	Description
`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.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

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

get_session

get_session(request: Optional[Union[google.cloud.spanner_v1.types.spanner.GetSessionRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a session. Returns NOT_FOUND if the session does not exist. This is mainly useful for determining whether a session is still alive.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.Session`	A session in the Cloud Spanner API.

list_sessions

list_sessions(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ListSessionsRequest, dict]] = None, *, database: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists all sessions in a given database.

from google.cloud import spanner_v1

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

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

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

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

Parameters
Name	Description
`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
Type	Description
`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.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_database_path

parse_database_path(path: str)

Parses a database path into its component segments.

parse_session_path

parse_session_path(path: str)

Parses a session path into its component segments.

partition_query

partition_query(request: Optional[Union[google.cloud.spanner_v1.types.spanner.PartitionQueryRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.PartitionResponse`	The response for `PartitionQuery][google.spanner.v1.Spanner.PartitionQuery]` or `PartitionRead][google.spanner.v1.Spanner.PartitionRead]`

partition_read

partition_read(request: Optional[Union[google.cloud.spanner_v1.types.spanner.PartitionReadRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.PartitionResponse`	The response for `PartitionQuery][google.spanner.v1.Spanner.PartitionQuery]` or `PartitionRead][google.spanner.v1.Spanner.PartitionRead]`

read

read(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ReadRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

    # Initialize request argument(s)
    request = spanner_v1.ReadRequest(
        session="session_value",
        table="table_value",
        columns=['columns_value_1', 'columns_value_2'],
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`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
Type	Description
`google.cloud.spanner_v1.types.ResultSet`	Results from `Read][google.spanner.v1.Spanner.Read]` or `ExecuteSql][google.spanner.v1.Spanner.ExecuteSql]`.

rollback

rollback(request: Optional[Union[google.cloud.spanner_v1.types.spanner.RollbackRequest, dict]] = None, *, session: Optional[str] = None, transaction_id: Optional[bytes] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

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

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

Parameters
Name	Description
`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.

session_path

session_path(project: str, instance: str, database: str, session: str)

Returns a fully-qualified session string.

streaming_read

streaming_read(request: Optional[Union[google.cloud.spanner_v1.types.spanner.ReadRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import spanner_v1

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

    # Initialize request argument(s)
    request = spanner_v1.ReadRequest(
        session="session_value",
        table="table_value",
        columns=['columns_value_1', 'columns_value_2'],
    )

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

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

Parameters
Name	Description
`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
Type	Description
`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.