Class SpannerClient (3.42.0) 

SpannerClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.spanner_v1.services.spanner.transports.base.SpannerTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = 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
TypeDescription
SpannerTransportThe transport used by the client instance.

Methods

SpannerClient

SpannerClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.spanner_v1.services.spanner.transports.base.SpannerTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = 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
NameDescription
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 Optional[Union[google.api_core.client_options.ClientOptions, dict]]

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf 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: typing.Optional[
        typing.Union[
            google.cloud.spanner_v1.types.spanner.BatchCreateSessionsRequest, dict
        ]
    ] = None,
    *,
    database: typing.Optional[str] = None,
    session_count: typing.Optional[int] = None,
    retry: typing.Union[
        google.api_core.retry.retry_unary.Retry,
        google.api_core.gapic_v1.method._MethodDefault,
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.spanner_v1.types.spanner.BatchCreateSessionsResponse

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.BatchCreateSessionsResponseThe response for BatchCreateSessions][google.spanner.v1.Spanner.BatchCreateSessions].

batch_write

batch_write(
    request: typing.Optional[
        typing.Union[google.cloud.spanner_v1.types.spanner.BatchWriteRequest, dict]
    ] = None,
    *,
    session: typing.Optional[str] = None,
    mutation_groups: typing.Optional[
        typing.MutableSequence[
            google.cloud.spanner_v1.types.spanner.BatchWriteRequest.MutationGroup
        ]
    ] = None,
    retry: typing.Union[
        google.api_core.retry.retry_unary.Retry,
        google.api_core.gapic_v1.method._MethodDefault,
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[google.cloud.spanner_v1.types.spanner.BatchWriteResponse]

Batches the supplied mutation groups in a collection of efficient transactions. All mutations in a group are committed atomically. However, mutations across groups can be committed non-atomically in an unspecified order and thus, they must be independent of each other. Partial failure is possible, i.e., some groups may have been committed successfully, while some may have failed. The results of individual batches are streamed into the response as the batches are applied.

BatchWrite requests are not replay protected, meaning that each mutation group may be applied more than once. Replays of non-idempotent mutations may have undesirable effects. For example, replays of an insert mutation may produce an already exists error or if you use generated or commit timestamp-based keys, it may result in additional rows being added to the mutation's table. We recommend structuring your mutation groups to be idempotent to avoid this issue.

# 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

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

    # Initialize request argument(s)
    mutation_groups = spanner_v1.MutationGroup()
    mutation_groups.mutations.insert.table = "table_value"

    request = spanner_v1.BatchWriteRequest(
        session="session_value",
        mutation_groups=mutation_groups,
    )

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

    # Handle the response
    for response in stream:
        print(response)
Parameters
NameDescription
request Union[google.cloud.spanner_v1.types.BatchWriteRequest, dict]

The request object. The request for BatchWrite][google.spanner.v1.Spanner.BatchWrite].

session str

Required. The session in which the batch request is to be run. This corresponds to the session field on the request instance; if request is provided, this should not be set.

mutation_groups MutableSequence[google.cloud.spanner_v1.types.BatchWriteRequest.MutationGroup]

Required. The groups of mutations to be applied. This corresponds to the mutation_groups 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
TypeDescription
Iterable[google.cloud.spanner_v1.types.BatchWriteResponse]The result of applying a batch of mutations.

begin_transaction

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

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.TransactionA transaction.

commit

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

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.

# 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

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
NameDescription
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 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 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
TypeDescription
google.cloud.spanner_v1.types.CommitResponseThe response for Commit][google.spanner.v1.Spanner.Commit].

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_session

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

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".

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.SessionA session in the Cloud Spanner API.

database_path

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

Returns a fully-qualified database string.

delete_session

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

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

# 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

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

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.ExecuteBatchDmlResponseThe 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: typing.Optional[
        typing.Union[google.cloud.spanner_v1.types.spanner.ExecuteSqlRequest, dict]
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.retry_unary.Retry,
        google.api_core.gapic_v1.method._MethodDefault,
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.spanner_v1.types.result_set.ResultSet

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.ResultSetResults from Read][google.spanner.v1.Spanner.Read] or ExecuteSql][google.spanner.v1.Spanner.ExecuteSql].

execute_streaming_sql

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

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.

# 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

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
NameDescription
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
TypeDescription
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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
SpannerClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
SpannerClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
SpannerClientThe constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.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 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.

Parameter
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_session

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

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

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.SessionA session in the Cloud Spanner API.

list_sessions

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

Lists all sessions in a given database.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.services.spanner.pagers.ListSessionsPagerThe 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) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_database_path

parse_database_path(path: str) -> typing.Dict[str, str]

Parses a database path into its component segments.

parse_session_path

parse_session_path(path: str) -> typing.Dict[str, str]

Parses a session path into its component segments.

partition_query

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

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.PartitionResponseThe response for PartitionQuery][google.spanner.v1.Spanner.PartitionQuery] or PartitionRead][google.spanner.v1.Spanner.PartitionRead]

partition_read

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

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.

# 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

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
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.PartitionResponseThe response for PartitionQuery][google.spanner.v1.Spanner.PartitionQuery] or PartitionRead][google.spanner.v1.Spanner.PartitionRead]

read

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

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.

# 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

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_value1', 'columns_value2'],
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
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
TypeDescription
google.cloud.spanner_v1.types.ResultSetResults from Read][google.spanner.v1.Spanner.Read] or ExecuteSql][google.spanner.v1.Spanner.ExecuteSql].

rollback

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

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.

# 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

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
NameDescription
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) -> str

Returns a fully-qualified session string.

streaming_read

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

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.

# 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

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_value1', 'columns_value2'],
    )

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

    # Handle the response
    for response in stream:
        print(response)
Parameters
NameDescription
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
TypeDescription
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.