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In order to continue with the application, conn. NOTE : Using with conn. This essentially means all transactions can be wrapped in a try block, if they conclude successfully they can be committed, however if they raise an exception, they must be rolled back. A basic decorator that does this is as follows:. This decorator wraps the specified function, returning an inner function that injects a new connection as the first argument to the decorated function.
If the decorated function raises an exception, the transaction is rolled back and the error is logged. The decorator method is nice but the connection injection can be a bit weird. An alternative is a context manager that ensures the connection is committed or rolled back in a similar fashion:. The context manager allows you to easily compose two transactions inside a single function — of course this may be against the point.
However, it is no problem to combine both the decorator and the context manager methods into two steps more on this in isolation levels. Each of these operations has several steps:. If any of them fails, then the database should remain completely unchanged. Failure in this case is that an exception is raised, which is potentially the easiest thing to do when you have a stack of functions calling other functions.
This function simply calls other functions, passing the transaction context in this case a connection as well as input details to other functions which may or may not raise exceptions. Here are the two authenticate methods:. By raising an exception at any point in the stack, the transaction will proceed no further, protecting us from harm later in the transaction.
Note also that neither of these functions have an transaction decorator, this is because it is expected that they are called from within another transaction. They are independent operations, but they can be called independently in a transaction with the context manager. This is the first place that we modify the state of the database by inserting a ledger record. This will ensure that the ledger record is not accidentally stored on disk. Finally we update the account balance:.
In order to complete the example, here is the withdraw transaction:. This is similar but modifies the inputs to the various operations to decrease the amount of the account by a debit ledger record. We can run:. This should set a baseline for creating simple and easy to use transactions in Python. However, if you remember your databases class as an undergraduate, things get more interesting when two transactions are occurring at the same time.
The simplest way to do this is to use the threading library to execute transactions simultaneously. How do you achieve thread safety when accessing the database? Back to the docs:. Connection objects are thread-safe: many threads can access the same database either using separate sessions and creating a connection per thread or using the same connection and creating separate cursors. This means that every thread must have its own conn object which explore in the connection pool section.
Any cursor created from the same connection object will be in the same transaction no matter the thread. We can simulate this with threads as follows:. Depending on the timing, one of two things can happen. There are three transactions happening, two withdraw transactions and a deposit. No matter what, the database will be left in the same state. However, for performance reasons, you may want to modify the isolation level for a particular transaction.
Possible levels are as follows:. Note that as the isolation level increases, the number of locks being maintained also increases, which severely impacts performance if there is lock contention or deadlocks. It is possible to set the isolation level on a per-transaction basis in order to improve performance of all transactions happening concurrently.
To do this we must modify the session parameters on the connection, which modify the behavior of the transaction or statements that follow in that particular session. Additionally we can set the session to readonly , which does not allow writes to temporary tables for performance and security or to deferrable. Deferrability is very interesting in a transaction, because it modifies how database constraints are checked. Non-deferrable transactions immediately check the constraint after a statement is executed.
Deferrable transactions however wait until the transaction is concluded before checking the constraints. This allows you to write multiple overlapping operations that may put the database into a correct state by the end of the transaction, but potentially not during the transaction this also overlaps with the performance of various isolation levels.
NOTE : There cannot be an ongoing transaction when the session is set therefore it is more common for me to set the isolation level, readonly, and deferrable inside of the transaction decorator, rather than using two separate context managers as shown above. Frankly, it is also common to set these properties on a per-process basis rather than on a per-transaction basis, therefore the session is set in connect.
Connections cannot be shared across threads. In the threading example above, if we remove the transaction decorator and pass the same connection into both operations as follows:. StatusCode which throw exceptions if the headers have been written will succeed. Resizing in Windows Forms controls. This feature has been expanded. This can be done within the same app domain, and doesn't require any extra unmanaged code to interact with MSDTC to perform the promotion. The new method can be called only when there's an outstanding call from System.
Transactions to the IPromotableSinglePhaseNotification Promote method that's implemented by the promotable enlistment. Profiling improvements. The new profiling APIs require dependent assemblies that are injected by the profiler to be loadable immediately, instead of being loaded after the app is fully initialized.
Debugging improvements. The following new unmanaged debugging APIs provide better integration with a profiler. You can now access metadata inserted by the profiler as well as local variables and code produced by compiler ReJIT requests when dump debugging. Event tracing changes.
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