# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc

from google.cloud.spanner_v1.proto import (
    result_set_pb2 as google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2,
)
from google.cloud.spanner_v1.proto import (
    spanner_pb2 as google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2,
)
from google.cloud.spanner_v1.proto import (
    transaction_pb2 as google_dot_cloud_dot_spanner__v1_dot_proto_dot_transaction__pb2,
)
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2


class SpannerStub(object):
    """Cloud Spanner API

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

    def __init__(self, channel):
        """Constructor.

    Args:
      channel: A grpc.Channel.
    """
        self.CreateSession = channel.unary_unary(
            "/google.spanner.v1.Spanner/CreateSession",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CreateSessionRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.Session.FromString,
        )
        self.GetSession = channel.unary_unary(
            "/google.spanner.v1.Spanner/GetSession",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.GetSessionRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.Session.FromString,
        )
        self.ListSessions = channel.unary_unary(
            "/google.spanner.v1.Spanner/ListSessions",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ListSessionsRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ListSessionsResponse.FromString,
        )
        self.DeleteSession = channel.unary_unary(
            "/google.spanner.v1.Spanner/DeleteSession",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.DeleteSessionRequest.SerializeToString,
            response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
        )
        self.ExecuteSql = channel.unary_unary(
            "/google.spanner.v1.Spanner/ExecuteSql",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteSqlRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.ResultSet.FromString,
        )
        self.ExecuteStreamingSql = channel.unary_stream(
            "/google.spanner.v1.Spanner/ExecuteStreamingSql",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteSqlRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.PartialResultSet.FromString,
        )
        self.ExecuteBatchDml = channel.unary_unary(
            "/google.spanner.v1.Spanner/ExecuteBatchDml",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteBatchDmlRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteBatchDmlResponse.FromString,
        )
        self.Read = channel.unary_unary(
            "/google.spanner.v1.Spanner/Read",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ReadRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.ResultSet.FromString,
        )
        self.StreamingRead = channel.unary_stream(
            "/google.spanner.v1.Spanner/StreamingRead",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ReadRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.PartialResultSet.FromString,
        )
        self.BeginTransaction = channel.unary_unary(
            "/google.spanner.v1.Spanner/BeginTransaction",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.BeginTransactionRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_transaction__pb2.Transaction.FromString,
        )
        self.Commit = channel.unary_unary(
            "/google.spanner.v1.Spanner/Commit",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CommitRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CommitResponse.FromString,
        )
        self.Rollback = channel.unary_unary(
            "/google.spanner.v1.Spanner/Rollback",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.RollbackRequest.SerializeToString,
            response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
        )
        self.PartitionQuery = channel.unary_unary(
            "/google.spanner.v1.Spanner/PartitionQuery",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionQueryRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionResponse.FromString,
        )
        self.PartitionRead = channel.unary_unary(
            "/google.spanner.v1.Spanner/PartitionRead",
            request_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionReadRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionResponse.FromString,
        )


class SpannerServicer(object):
    """Cloud Spanner API

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

    def CreateSession(self, request, context):
        """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.

    Cloud Spanner limits the number of sessions that can exist at any given
    time; thus, it is a good idea to delete idle and/or unneeded sessions.
    Aside from explicit deletes, Cloud Spanner can delete sessions for which no
    operations are sent for more than an hour. If a session is deleted,
    requests to it return `NOT_FOUND`.

    Idle sessions can be kept alive by sending a trivial SQL query
    periodically, e.g., `"SELECT 1"`.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def GetSession(self, request, context):
        """Gets a session. Returns `NOT_FOUND` if the session does not exist.
    This is mainly useful for determining whether a session is still
    alive.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def ListSessions(self, request, context):
        """Lists all sessions in a given database.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def DeleteSession(self, request, context):
        """Ends a session, releasing server resources associated with it. This will
    asynchronously trigger cancellation of any operations that are running with
    this session.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def ExecuteSql(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def ExecuteStreamingSql(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def ExecuteBatchDml(self, request, context):
        """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 order, sequentially.
    [ExecuteBatchDmlResponse][Spanner.ExecuteBatchDmlResponse] will contain a
    [ResultSet][google.spanner.v1.ResultSet] for each DML statement that has successfully executed. If a
    statement fails, its error status will be returned as part of the
    [ExecuteBatchDmlResponse][Spanner.ExecuteBatchDmlResponse]. Execution will
    stop at the first failed statement; the remaining statements will not run.

    ExecuteBatchDml is expected to return an OK status with a response even if
    there was an error while processing one of the DML statements. Clients must
    inspect response.status to determine if there were any errors while
    processing the request.

    See more details in
    [ExecuteBatchDmlRequest][Spanner.ExecuteBatchDmlRequest] and
    [ExecuteBatchDmlResponse][Spanner.ExecuteBatchDmlResponse].
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def Read(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def StreamingRead(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def BeginTransaction(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def Commit(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def Rollback(self, request, context):
        """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`.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def PartitionQuery(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def PartitionRead(self, request, context):
        """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.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")


def add_SpannerServicer_to_server(servicer, server):
    rpc_method_handlers = {
        "CreateSession": grpc.unary_unary_rpc_method_handler(
            servicer.CreateSession,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CreateSessionRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.Session.SerializeToString,
        ),
        "GetSession": grpc.unary_unary_rpc_method_handler(
            servicer.GetSession,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.GetSessionRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.Session.SerializeToString,
        ),
        "ListSessions": grpc.unary_unary_rpc_method_handler(
            servicer.ListSessions,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ListSessionsRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ListSessionsResponse.SerializeToString,
        ),
        "DeleteSession": grpc.unary_unary_rpc_method_handler(
            servicer.DeleteSession,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.DeleteSessionRequest.FromString,
            response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
        ),
        "ExecuteSql": grpc.unary_unary_rpc_method_handler(
            servicer.ExecuteSql,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteSqlRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.ResultSet.SerializeToString,
        ),
        "ExecuteStreamingSql": grpc.unary_stream_rpc_method_handler(
            servicer.ExecuteStreamingSql,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteSqlRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.PartialResultSet.SerializeToString,
        ),
        "ExecuteBatchDml": grpc.unary_unary_rpc_method_handler(
            servicer.ExecuteBatchDml,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteBatchDmlRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ExecuteBatchDmlResponse.SerializeToString,
        ),
        "Read": grpc.unary_unary_rpc_method_handler(
            servicer.Read,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ReadRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.ResultSet.SerializeToString,
        ),
        "StreamingRead": grpc.unary_stream_rpc_method_handler(
            servicer.StreamingRead,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.ReadRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_result__set__pb2.PartialResultSet.SerializeToString,
        ),
        "BeginTransaction": grpc.unary_unary_rpc_method_handler(
            servicer.BeginTransaction,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.BeginTransactionRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_transaction__pb2.Transaction.SerializeToString,
        ),
        "Commit": grpc.unary_unary_rpc_method_handler(
            servicer.Commit,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CommitRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.CommitResponse.SerializeToString,
        ),
        "Rollback": grpc.unary_unary_rpc_method_handler(
            servicer.Rollback,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.RollbackRequest.FromString,
            response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
        ),
        "PartitionQuery": grpc.unary_unary_rpc_method_handler(
            servicer.PartitionQuery,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionQueryRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionResponse.SerializeToString,
        ),
        "PartitionRead": grpc.unary_unary_rpc_method_handler(
            servicer.PartitionRead,
            request_deserializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionReadRequest.FromString,
            response_serializer=google_dot_cloud_dot_spanner__v1_dot_proto_dot_spanner__pb2.PartitionResponse.SerializeToString,
        ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
        "google.spanner.v1.Spanner", rpc_method_handlers
    )
    server.add_generic_rpc_handlers((generic_handler,))
