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Nicolas Wavrant
ZODB
Commits
f5fa221c
Commit
f5fa221c
authored
Nov 05, 2005
by
Stephan Richter
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38765767
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src/transaction/README.txt
src/transaction/README.txt
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src/transaction/savepoint.txt
src/transaction/savepoint.txt
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src/transaction/README.txt
View file @
f5fa221c
This package is currently a facade of the ZODB.Transaction module.
============
Transactions
============
It exists to support:
This package contains a generic transaction implementation for Python. It is
mainly used by the ZODB, though.
- Application code that uses the ZODB 4 transaction API
- ZODB4-style data managers (transaction.interfaces.IDataManager)
Note that the data manager API, transaction.interfaces.IDataManager,
Note that the data manager API, ``transaction.interfaces.IDataManager``,
is syntactically simple, but semantically complex. The semantics
were not easy to express in the interface. This could probably use
more work. The semantics are presented in detail through examples of
a sample data manager in
transaction.tests.test_SampleDataManager
.
a sample data manager in
``transaction.tests.test_SampleDataManager``
.
src/transaction/savepoint.txt
View file @
f5fa221c
...
...
@@ -12,17 +12,17 @@ a transaction allowing:
Savepoints make it possible to write atomic subroutines that don't
make top-level transaction commitments.
Applications
------------
To demonstrate how savepoints work with transactions, we've provided a
sample data manager implementation that provides savepoint support.
The primary purpose of this data manager is to provide code that can
be read to understand how savepoints work. The secondary purpose is to
provide support for demonstrating the correct operation of savepoint
support within the transaction system. This data manager is very
simple. It provides flat storage of named immutable values, like strings
and numbers.
To demonstrate how savepoints work with transactions, we've provided a sample
data manager implementation that provides savepoint support. The primary
purpose of this data manager is to provide code that can be read to understand
how savepoints work. The secondary purpose is to provide support for
demonstrating the correct operation of savepoint support within the
transaction system. This data manager is very simple. It provides flat
storage of named immutable values, like strings and numbers.
>>> import transaction.tests.savepointsample
>>> dm = transaction.tests.savepointsample.SampleSavepointDataManager()
...
...
@@ -43,13 +43,13 @@ and abort changes:
>>> dm['name']
'bob'
Now, let's look at an application that manages funds for people.
It allows deposits and debits to be entered for multiple people.
It accepts a sequence of entries and generates a sequence of status
messages. For each entry, it applies the change and then validate
s
the user's account. If the user's account is invalid, we roll back
the change for that entry. The success or failure of an entry is
indicated in the output status. First we'll initialize
some accounts:
Now, let's look at an application that manages funds for people.
It allows
deposits and debits to be entered for multiple people. It accepts a sequence
of entries and generates a sequence of status messages. For each entry, it
applies the change and then validates the user's account. If the user'
s
account is invalid, we roll back the change for that entry. The success or
failure of an entry is indicated in the output status. First we'll initialize
some accounts:
>>> dm['bob-balance'] = 0.0
>>> dm['bob-credit'] = 0.0
...
...
@@ -63,8 +63,8 @@ Now, we'll define a validation function to validate an account:
... if dm[name+'-balance'] + dm[name+'-credit'] < 0:
... raise ValueError('Overdrawn', name)
And a function to apply entries. If the function fails in some
unexpected
way, it rolls back all of its changes and prints the error:
And a function to apply entries. If the function fails in some
unexpected
way, it rolls back all of its changes and prints the error:
>>> def apply_entries(entries):
... savepoint = transaction.savepoint()
...
...
@@ -118,9 +118,9 @@ If we provide entries that cause an unexpected error:
Updated sally
Unexpected exception unsupported operand type(s) for +=: 'float' and 'str'
Because the apply_entries used a savepoint for the entire function,
it was able to rollback the partial changes without rolling back
changes made in the previous call to apply_entries
:
Because the apply_entries used a savepoint for the entire function,
it was
able to rollback the partial changes without rolling back changes made in the
previous call to ``apply_entries``
:
>>> dm['bob-balance']
30.0
...
...
@@ -195,11 +195,12 @@ However, using a savepoint invalidates any savepoints that come after it:
>>> transaction.abort()
Databases without savepoint support
-----------------------------------
Normally it's an error to use savepoints with databases that don't
s
upport s
avepoints:
Normally it's an error to use savepoints with databases that don't
support
savepoints:
>>> dm_no_sp = transaction.tests.savepointsample.SampleDataManager()
>>> dm_no_sp['name'] = 'bob'
...
...
@@ -212,10 +213,10 @@ support savepoints:
>>> transaction.abort()
However, a flag can be passed to the transaction savepoint method to
indicate that databases without savepoint support should be tolerated
until a savepoint is rolled back. This allows transactions to proceed
if there are no reasons
to roll back:
However, a flag can be passed to the transaction savepoint method to
indicate
that databases without savepoint support should be tolerated until a savepoint
is rolled back. This allows transactions to proceed if there are no reasons
to roll back:
>>> dm_no_sp['name'] = 'sally'
>>> savepoint = transaction.savepoint(1)
...
...
@@ -231,13 +232,14 @@ if there are no reasons to roll back:
...
TypeError: ('Savepoints unsupported', {'name': 'sam'})
Failures
--------
If a failure occurs when creating or rolling back a savepoint, the
transaction state will be uncertain and the transaction will become
uncommitable. From that point on, most transaction operations,
including commit, will fail until
the transaction is aborted.
If a failure occurs when creating or rolling back a savepoint, the
transaction
state will be uncertain and the transaction will become uncommitable. From
that point on, most transaction operations, including commit, will fail until
the transaction is aborted.
In the previous example, we got an error when we tried to rollback the
savepoint. If we try to commit the transaction, the commit will fail:
...
...
@@ -254,8 +256,8 @@ We have to abort it to make any progress:
>>> transaction.abort()
Similarly, in our earlier example, where we tried to take a savepoint
with a
data manager that didn't support savepoints:
Similarly, in our earlier example, where we tried to take a savepoint
with a
data manager that didn't support savepoints:
>>> dm_no_sp['name'] = 'sally'
>>> dm['name'] = 'sally'
...
...
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