905 lines
34 KiB
Python
905 lines
34 KiB
Python
# Copyright 2010 United States Government as represented by the
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# Administrator of the National Aeronautics and Space Administration.
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Session Handling for SQLAlchemy backend.
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Recommended ways to use sessions within this framework:
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* Don't use them explicitly; this is like running with ``AUTOCOMMIT=1``.
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`model_query()` will implicitly use a session when called without one
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supplied. This is the ideal situation because it will allow queries
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to be automatically retried if the database connection is interrupted.
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.. note:: Automatic retry will be enabled in a future patch.
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It is generally fine to issue several queries in a row like this. Even though
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they may be run in separate transactions and/or separate sessions, each one
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will see the data from the prior calls. If needed, undo- or rollback-like
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functionality should be handled at a logical level. For an example, look at
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the code around quotas and `reservation_rollback()`.
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Examples:
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.. code:: python
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def get_foo(context, foo):
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return (model_query(context, models.Foo).
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filter_by(foo=foo).
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first())
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def update_foo(context, id, newfoo):
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(model_query(context, models.Foo).
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filter_by(id=id).
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update({'foo': newfoo}))
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def create_foo(context, values):
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foo_ref = models.Foo()
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foo_ref.update(values)
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foo_ref.save()
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return foo_ref
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* Within the scope of a single method, keep all the reads and writes within
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the context managed by a single session. In this way, the session's
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`__exit__` handler will take care of calling `flush()` and `commit()` for
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you. If using this approach, you should not explicitly call `flush()` or
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`commit()`. Any error within the context of the session will cause the
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session to emit a `ROLLBACK`. Database errors like `IntegrityError` will be
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raised in `session`'s `__exit__` handler, and any try/except within the
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context managed by `session` will not be triggered. And catching other
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non-database errors in the session will not trigger the ROLLBACK, so
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exception handlers should always be outside the session, unless the
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developer wants to do a partial commit on purpose. If the connection is
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dropped before this is possible, the database will implicitly roll back the
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transaction.
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.. note:: Statements in the session scope will not be automatically retried.
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If you create models within the session, they need to be added, but you
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do not need to call `model.save()`:
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.. code:: python
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def create_many_foo(context, foos):
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session = sessionmaker()
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with session.begin():
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for foo in foos:
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foo_ref = models.Foo()
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foo_ref.update(foo)
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session.add(foo_ref)
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def update_bar(context, foo_id, newbar):
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session = sessionmaker()
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with session.begin():
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foo_ref = (model_query(context, models.Foo, session).
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filter_by(id=foo_id).
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first())
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(model_query(context, models.Bar, session).
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filter_by(id=foo_ref['bar_id']).
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update({'bar': newbar}))
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.. note:: `update_bar` is a trivially simple example of using
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``with session.begin``. Whereas `create_many_foo` is a good example of
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when a transaction is needed, it is always best to use as few queries as
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possible.
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The two queries in `update_bar` can be better expressed using a single query
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which avoids the need for an explicit transaction. It can be expressed like
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so:
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.. code:: python
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def update_bar(context, foo_id, newbar):
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subq = (model_query(context, models.Foo.id).
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filter_by(id=foo_id).
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limit(1).
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subquery())
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(model_query(context, models.Bar).
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filter_by(id=subq.as_scalar()).
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update({'bar': newbar}))
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For reference, this emits approximately the following SQL statement:
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.. code:: sql
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UPDATE bar SET bar = ${newbar}
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WHERE id=(SELECT bar_id FROM foo WHERE id = ${foo_id} LIMIT 1);
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.. note:: `create_duplicate_foo` is a trivially simple example of catching an
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exception while using ``with session.begin``. Here create two duplicate
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instances with same primary key, must catch the exception out of context
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managed by a single session:
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.. code:: python
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def create_duplicate_foo(context):
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foo1 = models.Foo()
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foo2 = models.Foo()
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foo1.id = foo2.id = 1
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session = sessionmaker()
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try:
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with session.begin():
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session.add(foo1)
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session.add(foo2)
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except exception.DBDuplicateEntry as e:
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handle_error(e)
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* Passing an active session between methods. Sessions should only be passed
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to private methods. The private method must use a subtransaction; otherwise
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SQLAlchemy will throw an error when you call `session.begin()` on an existing
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transaction. Public methods should not accept a session parameter and should
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not be involved in sessions within the caller's scope.
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Note that this incurs more overhead in SQLAlchemy than the above means
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due to nesting transactions, and it is not possible to implicitly retry
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failed database operations when using this approach.
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This also makes code somewhat more difficult to read and debug, because a
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single database transaction spans more than one method. Error handling
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becomes less clear in this situation. When this is needed for code clarity,
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it should be clearly documented.
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.. code:: python
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def myfunc(foo):
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session = sessionmaker()
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with session.begin():
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# do some database things
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bar = _private_func(foo, session)
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return bar
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def _private_func(foo, session=None):
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if not session:
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session = sessionmaker()
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with session.begin(subtransaction=True):
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# do some other database things
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return bar
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There are some things which it is best to avoid:
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* Don't keep a transaction open any longer than necessary.
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This means that your ``with session.begin()`` block should be as short
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as possible, while still containing all the related calls for that
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transaction.
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* Avoid ``with_lockmode('UPDATE')`` when possible.
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In MySQL/InnoDB, when a ``SELECT ... FOR UPDATE`` query does not match
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any rows, it will take a gap-lock. This is a form of write-lock on the
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"gap" where no rows exist, and prevents any other writes to that space.
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This can effectively prevent any INSERT into a table by locking the gap
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at the end of the index. Similar problems will occur if the SELECT FOR UPDATE
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has an overly broad WHERE clause, or doesn't properly use an index.
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One idea proposed at ODS Fall '12 was to use a normal SELECT to test the
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number of rows matching a query, and if only one row is returned,
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then issue the SELECT FOR UPDATE.
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The better long-term solution is to use
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``INSERT .. ON DUPLICATE KEY UPDATE``.
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However, this can not be done until the "deleted" columns are removed and
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proper UNIQUE constraints are added to the tables.
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Enabling soft deletes:
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* To use/enable soft-deletes, the `SoftDeleteMixin` must be added
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to your model class. For example:
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.. code:: python
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class NovaBase(models.SoftDeleteMixin, models.ModelBase):
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pass
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Efficient use of soft deletes:
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* There are two possible ways to mark a record as deleted:
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`model.soft_delete()` and `query.soft_delete()`.
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The `model.soft_delete()` method works with a single already-fetched entry.
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`query.soft_delete()` makes only one db request for all entries that
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correspond to the query.
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* In almost all cases you should use `query.soft_delete()`. Some examples:
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.. code:: python
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def soft_delete_bar():
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count = model_query(BarModel).find(some_condition).soft_delete()
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if count == 0:
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raise Exception("0 entries were soft deleted")
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def complex_soft_delete_with_synchronization_bar(session=None):
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if session is None:
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session = sessionmaker()
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with session.begin(subtransactions=True):
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count = (model_query(BarModel).
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find(some_condition).
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soft_delete(synchronize_session=True))
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# Here synchronize_session is required, because we
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# don't know what is going on in outer session.
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if count == 0:
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raise Exception("0 entries were soft deleted")
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* There is only one situation where `model.soft_delete()` is appropriate: when
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you fetch a single record, work with it, and mark it as deleted in the same
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transaction.
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.. code:: python
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def soft_delete_bar_model():
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session = sessionmaker()
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with session.begin():
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bar_ref = model_query(BarModel).find(some_condition).first()
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# Work with bar_ref
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bar_ref.soft_delete(session=session)
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However, if you need to work with all entries that correspond to query and
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then soft delete them you should use the `query.soft_delete()` method:
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.. code:: python
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def soft_delete_multi_models():
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session = sessionmaker()
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with session.begin():
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query = (model_query(BarModel, session=session).
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find(some_condition))
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model_refs = query.all()
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# Work with model_refs
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query.soft_delete(synchronize_session=False)
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# synchronize_session=False should be set if there is no outer
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# session and these entries are not used after this.
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When working with many rows, it is very important to use query.soft_delete,
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which issues a single query. Using `model.soft_delete()`, as in the following
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example, is very inefficient.
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.. code:: python
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for bar_ref in bar_refs:
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bar_ref.soft_delete(session=session)
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# This will produce count(bar_refs) db requests.
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"""
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import functools
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import logging
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import re
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import time
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import six
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from sqlalchemy import exc as sqla_exc
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from sqlalchemy.interfaces import PoolListener
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import sqlalchemy.orm
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from sqlalchemy.pool import NullPool, StaticPool
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from sqlalchemy.sql.expression import literal_column
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from tacker.openstack.common.db import exception
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from tacker.openstack.common.gettextutils import _LE, _LW
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from tacker.openstack.common import timeutils
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LOG = logging.getLogger(__name__)
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class SqliteForeignKeysListener(PoolListener):
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"""Ensures that the foreign key constraints are enforced in SQLite.
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The foreign key constraints are disabled by default in SQLite,
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so the foreign key constraints will be enabled here for every
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database connection
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"""
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def connect(self, dbapi_con, con_record):
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dbapi_con.execute('pragma foreign_keys=ON')
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# note(boris-42): In current versions of DB backends unique constraint
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# violation messages follow the structure:
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#
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# sqlite:
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# 1 column - (IntegrityError) column c1 is not unique
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# N columns - (IntegrityError) column c1, c2, ..., N are not unique
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#
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# sqlite since 3.7.16:
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# 1 column - (IntegrityError) UNIQUE constraint failed: tbl.k1
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#
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# N columns - (IntegrityError) UNIQUE constraint failed: tbl.k1, tbl.k2
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#
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# postgres:
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# 1 column - (IntegrityError) duplicate key value violates unique
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# constraint "users_c1_key"
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# N columns - (IntegrityError) duplicate key value violates unique
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# constraint "name_of_our_constraint"
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#
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# mysql:
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# 1 column - (IntegrityError) (1062, "Duplicate entry 'value_of_c1' for key
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# 'c1'")
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# N columns - (IntegrityError) (1062, "Duplicate entry 'values joined
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# with -' for key 'name_of_our_constraint'")
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#
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# ibm_db_sa:
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# N columns - (IntegrityError) SQL0803N One or more values in the INSERT
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# statement, UPDATE statement, or foreign key update caused by a
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# DELETE statement are not valid because the primary key, unique
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# constraint or unique index identified by "2" constrains table
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# "NOVA.KEY_PAIRS" from having duplicate values for the index
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# key.
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_DUP_KEY_RE_DB = {
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"sqlite": (re.compile(r"^.*columns?([^)]+)(is|are)\s+not\s+unique$"),
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re.compile(r"^.*UNIQUE\s+constraint\s+failed:\s+(.+)$")),
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"postgresql": (re.compile(r"^.*duplicate\s+key.*\"([^\"]+)\"\s*\n.*$"),),
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"mysql": (re.compile(r"^.*\(1062,.*'([^\']+)'\"\)$"),),
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"ibm_db_sa": (re.compile(r"^.*SQL0803N.*$"),),
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}
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def _raise_if_duplicate_entry_error(integrity_error, engine_name):
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"""Raise exception if two entries are duplicated.
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In this function will be raised DBDuplicateEntry exception if integrity
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error wrap unique constraint violation.
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"""
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def get_columns_from_uniq_cons_or_name(columns):
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# note(vsergeyev): UniqueConstraint name convention: "uniq_t0c10c2"
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# where `t` it is table name and columns `c1`, `c2`
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# are in UniqueConstraint.
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uniqbase = "uniq_"
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if not columns.startswith(uniqbase):
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if engine_name == "postgresql":
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return [columns[columns.index("_") + 1:columns.rindex("_")]]
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return [columns]
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return columns[len(uniqbase):].split("0")[1:]
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if engine_name not in ("ibm_db_sa", "mysql", "sqlite", "postgresql"):
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return
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# FIXME(johannes): The usage of the .message attribute has been
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# deprecated since Python 2.6. However, the exceptions raised by
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# SQLAlchemy can differ when using unicode() and accessing .message.
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# An audit across all three supported engines will be necessary to
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# ensure there are no regressions.
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for pattern in _DUP_KEY_RE_DB[engine_name]:
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match = pattern.match(integrity_error.message)
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if match:
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break
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else:
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return
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# NOTE(mriedem): The ibm_db_sa integrity error message doesn't provide the
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# columns so we have to omit that from the DBDuplicateEntry error.
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columns = ''
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if engine_name != 'ibm_db_sa':
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columns = match.group(1)
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if engine_name == "sqlite":
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columns = [c.split('.')[-1] for c in columns.strip().split(", ")]
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else:
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columns = get_columns_from_uniq_cons_or_name(columns)
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raise exception.DBDuplicateEntry(columns, integrity_error)
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# NOTE(comstud): In current versions of DB backends, Deadlock violation
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# messages follow the structure:
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#
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# mysql:
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# (OperationalError) (1213, 'Deadlock found when trying to get lock; try '
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# 'restarting transaction') <query_str> <query_args>
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_DEADLOCK_RE_DB = {
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"mysql": re.compile(r"^.*\(1213, 'Deadlock.*")
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}
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def _raise_if_deadlock_error(operational_error, engine_name):
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"""Raise exception on deadlock condition.
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Raise DBDeadlock exception if OperationalError contains a Deadlock
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condition.
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"""
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re = _DEADLOCK_RE_DB.get(engine_name)
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if re is None:
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return
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# FIXME(johannes): The usage of the .message attribute has been
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# deprecated since Python 2.6. However, the exceptions raised by
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# SQLAlchemy can differ when using unicode() and accessing .message.
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# An audit across all three supported engines will be necessary to
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# ensure there are no regressions.
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m = re.match(operational_error.message)
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if not m:
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return
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raise exception.DBDeadlock(operational_error)
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def _wrap_db_error(f):
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@functools.wraps(f)
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def _wrap(self, *args, **kwargs):
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try:
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assert issubclass(
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self.__class__, sqlalchemy.orm.session.Session
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), ('_wrap_db_error() can only be applied to methods of '
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'subclasses of sqlalchemy.orm.session.Session.')
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return f(self, *args, **kwargs)
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except UnicodeEncodeError:
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raise exception.DBInvalidUnicodeParameter()
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except sqla_exc.OperationalError as e:
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_raise_if_db_connection_lost(e, self.bind)
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_raise_if_deadlock_error(e, self.bind.dialect.name)
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# NOTE(comstud): A lot of code is checking for OperationalError
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# so let's not wrap it for now.
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raise
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# note(boris-42): We should catch unique constraint violation and
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# wrap it by our own DBDuplicateEntry exception. Unique constraint
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# violation is wrapped by IntegrityError.
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except sqla_exc.IntegrityError as e:
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# note(boris-42): SqlAlchemy doesn't unify errors from different
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# DBs so we must do this. Also in some tables (for example
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# instance_types) there are more than one unique constraint. This
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# means we should get names of columns, which values violate
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# unique constraint, from error message.
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_raise_if_duplicate_entry_error(e, self.bind.dialect.name)
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raise exception.DBError(e)
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except Exception as e:
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LOG.exception(_LE('DB exception wrapped.'))
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raise exception.DBError(e)
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return _wrap
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def _synchronous_switch_listener(dbapi_conn, connection_rec):
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"""Switch sqlite connections to non-synchronous mode."""
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dbapi_conn.execute("PRAGMA synchronous = OFF")
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def _add_regexp_listener(dbapi_con, con_record):
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"""Add REGEXP function to sqlite connections."""
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def regexp(expr, item):
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reg = re.compile(expr)
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return reg.search(six.text_type(item)) is not None
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dbapi_con.create_function('regexp', 2, regexp)
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def _thread_yield(dbapi_con, con_record):
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"""Ensure other greenthreads get a chance to be executed.
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If we use eventlet.monkey_patch(), eventlet.greenthread.sleep(0) will
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execute instead of time.sleep(0).
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Force a context switch. With common database backends (eg MySQLdb and
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sqlite), there is no implicit yield caused by network I/O since they are
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implemented by C libraries that eventlet cannot monkey patch.
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"""
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time.sleep(0)
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def _ping_listener(engine, dbapi_conn, connection_rec, connection_proxy):
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"""Ensures that MySQL, PostgreSQL or DB2 connections are alive.
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Borrowed from:
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http://groups.google.com/group/sqlalchemy/msg/a4ce563d802c929f
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"""
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cursor = dbapi_conn.cursor()
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try:
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ping_sql = 'select 1'
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if engine.name == 'ibm_db_sa':
|
|
# DB2 requires a table expression
|
|
ping_sql = 'select 1 from (values (1)) AS t1'
|
|
cursor.execute(ping_sql)
|
|
except Exception as ex:
|
|
if engine.dialect.is_disconnect(ex, dbapi_conn, cursor):
|
|
msg = _LW('Database server has gone away: %s') % ex
|
|
LOG.warning(msg)
|
|
|
|
# if the database server has gone away, all connections in the pool
|
|
# have become invalid and we can safely close all of them here,
|
|
# rather than waste time on checking of every single connection
|
|
engine.dispose()
|
|
|
|
# this will be handled by SQLAlchemy and will force it to create
|
|
# a new connection and retry the original action
|
|
raise sqla_exc.DisconnectionError(msg)
|
|
else:
|
|
raise
|
|
|
|
|
|
def _set_session_sql_mode(dbapi_con, connection_rec, sql_mode=None):
|
|
"""Set the sql_mode session variable.
|
|
|
|
MySQL supports several server modes. The default is None, but sessions
|
|
may choose to enable server modes like TRADITIONAL, ANSI,
|
|
several STRICT_* modes and others.
|
|
|
|
Note: passing in '' (empty string) for sql_mode clears
|
|
the SQL mode for the session, overriding a potentially set
|
|
server default.
|
|
"""
|
|
|
|
cursor = dbapi_con.cursor()
|
|
cursor.execute("SET SESSION sql_mode = %s", [sql_mode])
|
|
|
|
|
|
def _mysql_get_effective_sql_mode(engine):
|
|
"""Returns the effective SQL mode for connections from the engine pool.
|
|
|
|
Returns ``None`` if the mode isn't available, otherwise returns the mode.
|
|
|
|
"""
|
|
# Get the real effective SQL mode. Even when unset by
|
|
# our own config, the server may still be operating in a specific
|
|
# SQL mode as set by the server configuration.
|
|
# Also note that the checkout listener will be called on execute to
|
|
# set the mode if it's registered.
|
|
row = engine.execute("SHOW VARIABLES LIKE 'sql_mode'").fetchone()
|
|
if row is None:
|
|
return
|
|
return row[1]
|
|
|
|
|
|
def _mysql_check_effective_sql_mode(engine):
|
|
"""Logs a message based on the effective SQL mode for MySQL connections."""
|
|
realmode = _mysql_get_effective_sql_mode(engine)
|
|
|
|
if realmode is None:
|
|
LOG.warning(_LW('Unable to detect effective SQL mode'))
|
|
return
|
|
|
|
LOG.debug('MySQL server mode set to %s', realmode)
|
|
# 'TRADITIONAL' mode enables several other modes, so
|
|
# we need a substring match here
|
|
if not ('TRADITIONAL' in realmode.upper() or
|
|
'STRICT_ALL_TABLES' in realmode.upper()):
|
|
LOG.warning(_LW("MySQL SQL mode is '%s', "
|
|
"consider enabling TRADITIONAL or STRICT_ALL_TABLES"),
|
|
realmode)
|
|
|
|
|
|
def _mysql_set_mode_callback(engine, sql_mode):
|
|
if sql_mode is not None:
|
|
mode_callback = functools.partial(_set_session_sql_mode,
|
|
sql_mode=sql_mode)
|
|
sqlalchemy.event.listen(engine, 'connect', mode_callback)
|
|
_mysql_check_effective_sql_mode(engine)
|
|
|
|
|
|
def _is_db_connection_error(args):
|
|
"""Return True if error in connecting to db."""
|
|
# NOTE(adam_g): This is currently MySQL specific and needs to be extended
|
|
# to support Postgres and others.
|
|
# For the db2, the error code is -30081 since the db2 is still not ready
|
|
conn_err_codes = ('2002', '2003', '2006', '2013', '-30081')
|
|
for err_code in conn_err_codes:
|
|
if args.find(err_code) != -1:
|
|
return True
|
|
return False
|
|
|
|
|
|
def _raise_if_db_connection_lost(error, engine):
|
|
# NOTE(vsergeyev): Function is_disconnect(e, connection, cursor)
|
|
# requires connection and cursor in incoming parameters,
|
|
# but we have no possibility to create connection if DB
|
|
# is not available, so in such case reconnect fails.
|
|
# But is_disconnect() ignores these parameters, so it
|
|
# makes sense to pass to function None as placeholder
|
|
# instead of connection and cursor.
|
|
if engine.dialect.is_disconnect(error, None, None):
|
|
raise exception.DBConnectionError(error)
|
|
|
|
|
|
def create_engine(sql_connection, sqlite_fk=False, mysql_sql_mode=None,
|
|
idle_timeout=3600,
|
|
connection_debug=0, max_pool_size=None, max_overflow=None,
|
|
pool_timeout=None, sqlite_synchronous=True,
|
|
connection_trace=False, max_retries=10, retry_interval=10):
|
|
"""Return a new SQLAlchemy engine."""
|
|
|
|
connection_dict = sqlalchemy.engine.url.make_url(sql_connection)
|
|
|
|
engine_args = {
|
|
"pool_recycle": idle_timeout,
|
|
'convert_unicode': True,
|
|
}
|
|
|
|
logger = logging.getLogger('sqlalchemy.engine')
|
|
|
|
# Map SQL debug level to Python log level
|
|
if connection_debug >= 100:
|
|
logger.setLevel(logging.DEBUG)
|
|
elif connection_debug >= 50:
|
|
logger.setLevel(logging.INFO)
|
|
else:
|
|
logger.setLevel(logging.WARNING)
|
|
|
|
if "sqlite" in connection_dict.drivername:
|
|
if sqlite_fk:
|
|
engine_args["listeners"] = [SqliteForeignKeysListener()]
|
|
engine_args["poolclass"] = NullPool
|
|
|
|
if sql_connection == "sqlite://":
|
|
engine_args["poolclass"] = StaticPool
|
|
engine_args["connect_args"] = {'check_same_thread': False}
|
|
else:
|
|
if max_pool_size is not None:
|
|
engine_args['pool_size'] = max_pool_size
|
|
if max_overflow is not None:
|
|
engine_args['max_overflow'] = max_overflow
|
|
if pool_timeout is not None:
|
|
engine_args['pool_timeout'] = pool_timeout
|
|
|
|
engine = sqlalchemy.create_engine(sql_connection, **engine_args)
|
|
|
|
sqlalchemy.event.listen(engine, 'checkin', _thread_yield)
|
|
|
|
if engine.name in ('ibm_db_sa', 'mysql', 'postgresql'):
|
|
ping_callback = functools.partial(_ping_listener, engine)
|
|
sqlalchemy.event.listen(engine, 'checkout', ping_callback)
|
|
if engine.name == 'mysql':
|
|
if mysql_sql_mode:
|
|
_mysql_set_mode_callback(engine, mysql_sql_mode)
|
|
elif 'sqlite' in connection_dict.drivername:
|
|
if not sqlite_synchronous:
|
|
sqlalchemy.event.listen(engine, 'connect',
|
|
_synchronous_switch_listener)
|
|
sqlalchemy.event.listen(engine, 'connect', _add_regexp_listener)
|
|
|
|
if connection_trace and engine.dialect.dbapi.__name__ == 'MySQLdb':
|
|
_patch_mysqldb_with_stacktrace_comments()
|
|
|
|
try:
|
|
engine.connect()
|
|
except sqla_exc.OperationalError as e:
|
|
if not _is_db_connection_error(e.args[0]):
|
|
raise
|
|
|
|
remaining = max_retries
|
|
if remaining == -1:
|
|
remaining = 'infinite'
|
|
while True:
|
|
msg = _LW('SQL connection failed. %s attempts left.')
|
|
LOG.warning(msg % remaining)
|
|
if remaining != 'infinite':
|
|
remaining -= 1
|
|
time.sleep(retry_interval)
|
|
try:
|
|
engine.connect()
|
|
break
|
|
except sqla_exc.OperationalError as e:
|
|
if (remaining != 'infinite' and remaining == 0) or \
|
|
not _is_db_connection_error(e.args[0]):
|
|
raise
|
|
return engine
|
|
|
|
|
|
class Query(sqlalchemy.orm.query.Query):
|
|
"""Subclass of sqlalchemy.query with soft_delete() method."""
|
|
def soft_delete(self, synchronize_session='evaluate'):
|
|
return self.update({'deleted': literal_column('id'),
|
|
'updated_at': literal_column('updated_at'),
|
|
'deleted_at': timeutils.utcnow()},
|
|
synchronize_session=synchronize_session)
|
|
|
|
|
|
class Session(sqlalchemy.orm.session.Session):
|
|
"""Custom Session class to avoid SqlAlchemy Session monkey patching."""
|
|
@_wrap_db_error
|
|
def query(self, *args, **kwargs):
|
|
return super(Session, self).query(*args, **kwargs)
|
|
|
|
@_wrap_db_error
|
|
def flush(self, *args, **kwargs):
|
|
return super(Session, self).flush(*args, **kwargs)
|
|
|
|
@_wrap_db_error
|
|
def execute(self, *args, **kwargs):
|
|
return super(Session, self).execute(*args, **kwargs)
|
|
|
|
|
|
def get_maker(engine, autocommit=True, expire_on_commit=False):
|
|
"""Return a SQLAlchemy sessionmaker using the given engine."""
|
|
return sqlalchemy.orm.sessionmaker(bind=engine,
|
|
class_=Session,
|
|
autocommit=autocommit,
|
|
expire_on_commit=expire_on_commit,
|
|
query_cls=Query)
|
|
|
|
|
|
def _patch_mysqldb_with_stacktrace_comments():
|
|
"""Adds current stack trace as a comment in queries.
|
|
|
|
Patches MySQLdb.cursors.BaseCursor._do_query.
|
|
"""
|
|
import MySQLdb.cursors
|
|
import traceback
|
|
|
|
old_mysql_do_query = MySQLdb.cursors.BaseCursor._do_query
|
|
|
|
def _do_query(self, q):
|
|
stack = ''
|
|
for filename, line, method, function in traceback.extract_stack():
|
|
# exclude various common things from trace
|
|
if filename.endswith('session.py') and method == '_do_query':
|
|
continue
|
|
if filename.endswith('api.py') and method == 'wrapper':
|
|
continue
|
|
if filename.endswith('utils.py') and method == '_inner':
|
|
continue
|
|
if filename.endswith('exception.py') and method == '_wrap':
|
|
continue
|
|
# db/api is just a wrapper around db/sqlalchemy/api
|
|
if filename.endswith('db/api.py'):
|
|
continue
|
|
# only trace inside tacker
|
|
index = filename.rfind('tacker')
|
|
if index == -1:
|
|
continue
|
|
stack += "File:%s:%s Method:%s() Line:%s | " \
|
|
% (filename[index:], line, method, function)
|
|
|
|
# strip trailing " | " from stack
|
|
if stack:
|
|
stack = stack[:-3]
|
|
qq = "%s /* %s */" % (q, stack)
|
|
else:
|
|
qq = q
|
|
old_mysql_do_query(self, qq)
|
|
|
|
setattr(MySQLdb.cursors.BaseCursor, '_do_query', _do_query)
|
|
|
|
|
|
class EngineFacade(object):
|
|
"""A helper class for removing of global engine instances from tacker.db.
|
|
|
|
As a library, tacker.db can't decide where to store/when to create engine
|
|
and sessionmaker instances, so this must be left for a target application.
|
|
|
|
On the other hand, in order to simplify the adoption of tacker.db changes,
|
|
we'll provide a helper class, which creates engine and sessionmaker
|
|
on its instantiation and provides get_engine()/get_session() methods
|
|
that are compatible with corresponding utility functions that currently
|
|
exist in target projects, e.g. in Nova.
|
|
|
|
engine/sessionmaker instances will still be global (and they are meant to
|
|
be global), but they will be stored in the app context, rather that in the
|
|
tacker.db context.
|
|
|
|
Note: using of this helper is completely optional and you are encouraged to
|
|
integrate engine/sessionmaker instances into your apps any way you like
|
|
(e.g. one might want to bind a session to a request context). Two important
|
|
things to remember:
|
|
|
|
1. An Engine instance is effectively a pool of DB connections, so it's
|
|
meant to be shared (and it's thread-safe).
|
|
2. A Session instance is not meant to be shared and represents a DB
|
|
transactional context (i.e. it's not thread-safe). sessionmaker is
|
|
a factory of sessions.
|
|
|
|
"""
|
|
|
|
def __init__(self, sql_connection,
|
|
sqlite_fk=False, autocommit=True,
|
|
expire_on_commit=False, **kwargs):
|
|
"""Initialize engine and sessionmaker instances.
|
|
|
|
:param sqlite_fk: enable foreign keys in SQLite
|
|
:type sqlite_fk: bool
|
|
|
|
:param autocommit: use autocommit mode for created Session instances
|
|
:type autocommit: bool
|
|
|
|
:param expire_on_commit: expire session objects on commit
|
|
:type expire_on_commit: bool
|
|
|
|
Keyword arguments:
|
|
|
|
:keyword mysql_sql_mode: the SQL mode to be used for MySQL sessions.
|
|
(defaults to TRADITIONAL)
|
|
:keyword idle_timeout: timeout before idle sql connections are reaped
|
|
(defaults to 3600)
|
|
:keyword connection_debug: verbosity of SQL debugging information.
|
|
0=None, 100=Everything (defaults to 0)
|
|
:keyword max_pool_size: maximum number of SQL connections to keep open
|
|
in a pool (defaults to SQLAlchemy settings)
|
|
:keyword max_overflow: if set, use this value for max_overflow with
|
|
sqlalchemy (defaults to SQLAlchemy settings)
|
|
:keyword pool_timeout: if set, use this value for pool_timeout with
|
|
sqlalchemy (defaults to SQLAlchemy settings)
|
|
:keyword sqlite_synchronous: if True, SQLite uses synchronous mode
|
|
(defaults to True)
|
|
:keyword connection_trace: add python stack traces to SQL as comment
|
|
strings (defaults to False)
|
|
:keyword max_retries: maximum db connection retries during startup.
|
|
(setting -1 implies an infinite retry count)
|
|
(defaults to 10)
|
|
:keyword retry_interval: interval between retries of opening a sql
|
|
connection (defaults to 10)
|
|
|
|
"""
|
|
|
|
super(EngineFacade, self).__init__()
|
|
|
|
self._engine = create_engine(
|
|
sql_connection=sql_connection,
|
|
sqlite_fk=sqlite_fk,
|
|
mysql_sql_mode=kwargs.get('mysql_sql_mode', 'TRADITIONAL'),
|
|
idle_timeout=kwargs.get('idle_timeout', 3600),
|
|
connection_debug=kwargs.get('connection_debug', 0),
|
|
max_pool_size=kwargs.get('max_pool_size'),
|
|
max_overflow=kwargs.get('max_overflow'),
|
|
pool_timeout=kwargs.get('pool_timeout'),
|
|
sqlite_synchronous=kwargs.get('sqlite_synchronous', True),
|
|
connection_trace=kwargs.get('connection_trace', False),
|
|
max_retries=kwargs.get('max_retries', 10),
|
|
retry_interval=kwargs.get('retry_interval', 10))
|
|
self._session_maker = get_maker(
|
|
engine=self._engine,
|
|
autocommit=autocommit,
|
|
expire_on_commit=expire_on_commit)
|
|
|
|
def get_engine(self):
|
|
"""Get the engine instance (note, that it's shared)."""
|
|
|
|
return self._engine
|
|
|
|
def get_session(self, **kwargs):
|
|
"""Get a Session instance.
|
|
|
|
If passed, keyword arguments values override the ones used when the
|
|
sessionmaker instance was created.
|
|
|
|
:keyword autocommit: use autocommit mode for created Session instances
|
|
:type autocommit: bool
|
|
|
|
:keyword expire_on_commit: expire session objects on commit
|
|
:type expire_on_commit: bool
|
|
|
|
"""
|
|
|
|
for arg in kwargs:
|
|
if arg not in ('autocommit', 'expire_on_commit'):
|
|
del kwargs[arg]
|
|
|
|
return self._session_maker(**kwargs)
|
|
|
|
@classmethod
|
|
def from_config(cls, connection_string, conf,
|
|
sqlite_fk=False, autocommit=True, expire_on_commit=False):
|
|
"""Initialize EngineFacade using oslo_config config instance options.
|
|
|
|
:param connection_string: SQLAlchemy connection string
|
|
:type connection_string: string
|
|
|
|
:param conf: oslo_config config instance
|
|
:type conf: oslo_config.cfg.ConfigOpts
|
|
|
|
:param sqlite_fk: enable foreign keys in SQLite
|
|
:type sqlite_fk: bool
|
|
|
|
:param autocommit: use autocommit mode for created Session instances
|
|
:type autocommit: bool
|
|
|
|
:param expire_on_commit: expire session objects on commit
|
|
:type expire_on_commit: bool
|
|
|
|
"""
|
|
|
|
return cls(sql_connection=connection_string,
|
|
sqlite_fk=sqlite_fk,
|
|
autocommit=autocommit,
|
|
expire_on_commit=expire_on_commit,
|
|
**dict(conf.database.items()))
|