Drop 'Session' as a promoted, top-level entity in docs. (googleapis#3792

)

docs/spanner/advanced-session-pool-topics.rst

@@ -0,0 +1,98 @@
+Advanced Session Pool Topics
+============================
+
+Custom Session Pool Implementations
+-----------------------------------
+
+You can supply your own pool implementation, which must satisfy the
+contract laid out in
+:class:`~google.cloud.spanner.pool.AbstractSessionPool`:
+
+.. code-block:: python
+
+   from google.cloud.spanner.pool import AbstractSessionPool
+
+   class MyCustomPool(AbstractSessionPool):
+
+        def __init__(self, custom_param):
+            super(MyCustomPool, self).__init__()
+            self.custom_param = custom_param
+
+        def bind(self, database):
+            ...
+
+        def get(self, read_only=False):
+            ...
+
+        def put(self, session, discard_if_full=True):
+            ...
+
+   pool = MyCustomPool(custom_param=42)
+   database = instance.database(DATABASE_NAME, pool=pool)
+
+Lowering latency for read / query operations
+--------------------------------------------
+
+Some applications may need to minimize latency for read operations, including
+particularly the overhead of making an API request to create or refresh a
+session.  :class:`~google.cloud.spanner.pool.PingingPool` is designed for such
+applications, which need to configure a background thread to do the work of
+keeping the sessions fresh.
+
+Create an instance of :class:`~google.cloud.spanner.pool.PingingPool`:
+
+.. code-block:: python
+
+   from google.cloud.spanner import Client
+   from google.cloud.spanner.pool import PingingPool
+
+   client = Client()
+   instance = client.instance(INSTANCE_NAME)
+   pool = PingingPool(size=10, default_timeout=5, ping_interval=300)
+   database = instance.database(DATABASE_NAME, pool=pool)
+
+Set up a background thread to ping the pool's session, keeping them
+from becoming stale:
+
+.. code-block:: python
+
+   import threading
+
+   background = threading.Thread(target=pool.ping, name='ping-pool')
+   background.daemon = True
+   background.start()
+
+Lowering latency for mixed read-write operations
+------------------------------------------------
+
+Some applications may need to minimize latency for read write operations,
+including particularly the overhead of making an API request to create or
+refresh a session or to begin a session's transaction.
+:class:`~google.cloud.spanner.pool.TransactionPingingPool` is designed for
+such applications, which need to configure a background thread to do the work
+of keeping the sessions fresh and starting their transactions after use.
+
+Create an instance of
+:class:`~google.cloud.spanner.pool.TransactionPingingPool`:
+
+.. code-block:: python
+
+   from google.cloud.spanner import Client
+   from google.cloud.spanner.pool import TransactionPingingPool
+
+   client = Client()
+   instance = client.instance(INSTANCE_NAME)
+   pool = TransactionPingingPool(size=10, default_timeout=5, ping_interval=300)
+   database = instance.database(DATABASE_NAME, pool=pool)
+
+Set up a background thread to ping the pool's session, keeping them
+from becoming stale, and ensuring that each session has a new transaction
+started before it is used:
+
+.. code-block:: python
+
+   import threading
+
+   background = threading.Thread(target=pool.ping, name='ping-pool')
+   background.daemon = True
+   background.start()

docs/spanner/database-usage.rst

@@ -117,8 +117,141 @@ method:
     :meth:`~google.cloud.spanner.instance.Operation.finished`
     will result in an :exc`ValueError` being raised.
 
+Non-Admin Database Usage
+========================
 
-Next Step
----------
+Use a Snapshot to Read / Query the Database
+-------------------------------------------
 
-Next, learn about :doc:`session-crud-usage`.
+A snapshot represents a read-only point-in-time view of the database.
+
+Calling :meth:`~google.cloud.spanner.database.Database.snapshot` with
+no arguments creates a snapshot with strong concurrency:
+
+.. code:: python
+
+   with database.snapshot() as snapshot:
+       do_something_with(snapshot)
+
+See :class:`~google.cloud.spanner.snapshot.Snapshot` for the other options
+which can be passed.
+
+.. note::
+
+   :meth:`~google.cloud.spanner.database.Database.snapshot` returns an
+   object intended to be used as a Python context manager (i.e., as the
+   target of a ``with`` statement).  Use the instance, and any result
+   sets returned by its ``read`` or ``execute_sql`` methods, only inside
+   the block created by the ``with`` statement.
+
+See :doc:`snapshot-usage` for more complete examples of snapshot usage.
+
+Use a Batch to Modify Rows in the Database
+------------------------------------------
+
+A batch represents a bundled set of insert/upsert/update/delete operations
+on the rows of tables in the database.
+
+.. code:: python
+
+   with database.batch() as batch:
+        batch.insert_or_update(table, columns, rows)
+        batch.delete(table, keyset_to_delete)
+
+.. note::
+
+   :meth:`~google.cloud.spanner.database.Database.batch` returns an
+   object intended to be used as a Python context manager (i.e., as the
+   target of a ``with`` statement).  It applies any changes made inside
+   the block of its ``with`` statement when exiting the block, unless an
+   exception is raised within the block.  Use the batch only inside
+   the block created by the ``with`` statement.
+
+See :doc:`batch-usage` for more complete examples of batch usage.
+
+Use a Transaction to Query / Modify Rows in the Database
+--------------------------------------------------------
+
+A transaction represents the union of a "strong" snapshot and a batch:
+it allows ``read`` and ``execute_sql`` operations, and accumulates
+insert/upsert/update/delete operations.
+
+Because other applications may be performing concurrent updates which
+would invalidate the reads / queries, the work done by a transaction needs
+to be bundled as a retryable "unit of work" function, which takes the
+transaction as a required argument:
+
+.. code:: python
+
+   def unit_of_work(transaction):
+       result = transaction.execute_sql(QUERY)
+
+       for emp_id, hours, pay in _compute_pay(result):
+           transaction.insert_or_update(
+               table='monthly_hours',
+               columns=['employee_id', 'month', 'hours', 'pay'],
+               values=[emp_id, month_start, hours, pay])
+
+   database.run_in_transaction(unit_of_work)
+
+.. note::
+
+   :meth:`~google.cloud.spanner.database.Database.run_in_transaction`
+   commits the transaction automatically if the "unit of work" function
+   returns without raising an exception.
+
+.. note::
+
+   :meth:`~google.cloud.spanner.database.Database.run_in_transaction`
+   retries the "unit of work" function if the read / query operatoins
+   or the commit are aborted due to concurrent updates
+
+See :doc:`transaction-usage` for more complete examples of transaction usage.
+
+Configuring a session pool for a database
+-----------------------------------------
+
+Under the covers, the ``snapshot``, ``batch``, and ``run_in_transaction``
+methods use a pool of :class:`~google.cloud.spanner.session.Session` objects
+to manage their communication with the back-end.  You can configure
+one of the pools manually to control the number of sessions, timeouts, etc.,
+and then passing it to the :class:`~google.cloud.spanner.database.Database`
+constructor:
+
+.. code-block:: python
+
+   from google.cloud.spanner import Client
+   from google.cloud.spanner import FixedSizePool
+   client = Client()
+   instance = client.instance(INSTANCE_NAME)
+   pool = FixedSizePool(size=10, default_timeout=5)
+   database = instanc.database(DATABASE_NAME, pool=pool)
+
+Note that creating a database with a pool may presume that its database
+already exists, as it may need to pre-create sessions (rather than creating
+them on demand, as the default implementation does).
+
+You can supply your own pool implementation, which must satisfy the
+contract laid out in :class:`~google.cloud.spanner.pool.AbstractSessionPool`:
+
+.. code-block:: python
+
+   from google.cloud.pool import AbstractSessionPool
+
+   class MyCustomPool(AbstractSessionPool):
+
+        def __init__(self, database, custom_param):
+            super(MyCustomPool, self).__init__(database)
+            self.custom_param = custom_param
+
+        def get(self, read_only=False):
+            ...
+
+        def put(self, session, discard_if_full=True):
+            ...
+
+   database = instance.database(DATABASE_NAME, pool=pool)
+   pool = MyCustomPool(database, custom_param=42)
+
+See :doc:`advanced-session-pool-topics` for more advanced coverage of
+session pools.