Please check out my new post over at Code as Craft, MongoDB at Etsy.
There will be at least two more installments in this series, one by John Allspaw and another one by myself.
Please check out my new post over at Code as Craft, MongoDB at Etsy.
There will be at least two more installments in this series, one by John Allspaw and another one by myself.
I've released a package that I've been using for well over a year now for the purpose of writing functional test suites against applications using Postgres. The executive summary is that PGProxy allows you to write tests that are transactionally isolated from one another, without doing anything special in your application code.
This project is aimed more at functional tests of a website (using something like Selenium) than it is for unit tests of a single class or module. In those cases, using mock objects or other strategies is more viable. But, you could certainly use PGProxy in those scenarios as well.
You can get it on github here: http://github.com/mcfunley/pgproxy.
PGProxy is written in Python using Twisted, and has its own extensive set of unit and functional tests.
If you have a sufficiently large set of functional tests written by a sufficiently large team, eventually naively-written tests will begin to interfere with one another. A really simple example of two tests that would interfere with one another would be:
Clearly, if we don't take any special precautions in our test suite, Test A will never succeed if it is run after Test B. And if we require that Test A always runs before Test B, then we're forced to recreate our fixture database in between test runs. And this is just two tests–when you're talking about thousands, the potential interactions can be huge. Not to mention that depending on big your fixture databases are, creation at the start of every run can be a pain.
So eventually you will probably decide it would be better to restore the fixture data to a known state in between test cases. There are a few different ways to try to accomplish this:
There are problems with all of these approaches. 1) is very slow. 2) is very tedious for developers and error prone. 3) is similarly tedious and can be slow, depending on how much logic creating your entities entails. 4) is really just moving the goalposts, because tests are still going to interfere with each other. 5) works to the extent that you can have all of your database access code share a connection and to the extent that your code does not try to use its own transactions.
But! I am writing this to tell you about an exciting new option, namely, "do something crazy." PGProxy is that crazy thing, and it works pretty well.
As mentioned above, your test case can only work inside of a transaction if you are able to use a single connection per database per test case. If your test case is making calls to multiple processes that all want to use your fixture database, that is a pretty difficult thing to do.
PGProxy solves the problem by, you guessed, it, proxying all of your database connections. So if you have a PHP site running in Apache and a scala service running in Jetty, they can now share database connections in your tests. And consequently, they can share a transaction.

The other issue that comes up in using transactions to make test cases is that it's pretty common for the code that you're testing to want to use its own transactions. PGProxy solves this by rewriting transaction usage within the test case into SAVEPOINT usage. In other words, if you have a test that runs this SQL:
BEGIN; update users set username='chuck' where username='steve'; COMMIT; BEGIN; update users set password='foo' where username='chuck'; ROLLBACK;
PGProxy will rewrite that to this:
BEGIN; -- my test case SAVEPOINT x; update users set username='chuck' where username='steve'; RELEASE SAVEPOINT x; SAVEPOINT y; update users set password='foo' where username='chuck'; ROLLBACK TO SAVEPOINT y; ROLLBACK; -- my test case
There are a few ways to run the proxy. If you are writing your test suite using python (ie, using unittest), you can set up your test runner like this:
from __future__ import with_statement
import pgproxy
this_dir = os.path.realpath(os.path.dirname(__file__))
pidfile = os.path.join(this_dir, 'pgproxy.pid')
logfile = os.path.join(this_dir, 'pgproxy.log')
def run():
# this will shut down the proxy when the tests complete.
with pgproxy.run(pidfile=pidfile, logfile=logfile):
run_test_suite()
def run_test_suite():
# this should actually run your tests
pass
if __name__ == '__main__':
run()
Or you can use something like this script to start a standalone pgproxy process:
#! /usr/bin/env python
import pgproxy
import os
this_dir = os.path.realpath(os.path.dirname(__file__))
pidfile = os.path.join(this_dir, 'pgproxy.pid')
logfile = os.path.join(this_dir, 'pgproxy.log')
pgproxy.run(listenPort=5433, serverAddr=('localhost', 5432),
pidfile=pidfile, logfile=logfile)
In both of these cases, PGProxy is configured to accept connections on port 5433, and to connect to the Postgres server running on port 5432. In these examples you would tell your application to connect to port 5433.
In order to run PGProxy, you need Twisted version 8.1.0 or later.
PGProxy accepts two special queries that signal the start and the end of tests. Your test suite will need to invoke these in setUp and tearDown (or whatever the equivalents are in the language / framework that you're using). Here's a unittest example:
class TestCase(unittest.TestCase):
def setUp(self):
self.query("BEGIN TEST '%s'" % self._testMethodName)
def tearDown(self):
self.query("ROLLBACK TEST '%s'" % self._testMethodName)
def test_something(self):
# now this has a transaction and can't do any serious damage
# to the fixture data.
pass
As you may have noticed above, the BEGIN/ROLLBACKS are sent to postgres with comments stating which test is running, which can be pretty handy if you find yourself needing to look at the postgres logs to debug something. Here you would see:
BEGIN; -- test_something ROLLBACK; -- test_something
Since setUp and tearDown are frequently overridden by developers for other purposes, I generally like to use a metaclass to wrap test cases in transactions instead. This way if a developer forgets to call the base test case's setUp method, it's no big deal for the rest of the suite. I'll leave that as an exercise. You get the idea.
Lord knows I have a complicated opinion of all things Twisted, and maybe someday I will write something about that. And by "someday" I mean I am almost certainly never going to, because I have enough trouble staying out of nerd fights on the internet.
But I have to say that for this project, with the precise set of requirements that it had, and taking as a given my pre-existing wealth of experience with Twisted, things worked out great. This was a from-scratch rewrite of my first version, which was written using asyncore. The asyncore version was riddled with obscure race conditions, and it turned out to be much easier to just rewrite the damned thing using an event-driven framework than it ever was to debug the original. There was not a better choice of Python framework for this project, though I did toy with the idea of using scala. Anyway, I hope this praise for Twisted doesn't come across as excessively faint.
Enjoy! Don't hesitate to drop me a line if you find this useful or have bug reports.
DBAPI2 is all well and good. To a point. But if you have the usual website scaling problem, namely the one where you have a master database that worked fine when you were tiny and–dear god–not so well right now, the idea of interchangeable database libraries is basically a crock.
Before I am inundated with hate mail let me dial back my rhetoric a little bit. The existence of an API that works with altogether different databases is a wonderful thing and without it, things like Django or SQLAlchemy would not be possible. So rest assured I am not a complete maniac. I am not even really here to talk about dbapi2. I am just saying that 1) no two libraries are the same, 2) given sufficient scale this will matter to you, 3) the devil is in the details, and 4) the devil likes screwing things with white hot pokers.
Database client drivers intended for the same database can do drastically different things. By Python standards, the Postgres driver situation is completely schizo. There are a lot of them available - there are five dedicated Postgres drivers listed on the wiki, as opposed to just one for MySQL. People might choose different drivers for licensing reasons, for religious reasons, randomly (because they never did any analysis like I am about to do), or for completely inscrutable reasons because they are just plain out of their minds. You really would not believe how much blood I have seen spilled over Postgres client drivers.
Here, let me show you what I am talking about. Examine the following python program, which runs an identical operation on a pyPgSQL connection and a psycopg2 connection.
#! /usr/bin/env python
from __future__ import with_statement
from contextlib import closing
from pyPgSQL import PgSQL as pypgsql
import psycopg2
test_dsn = 'host=127.0.0.1 port=5432 user=dan dbname=postgres'
def test_select(c):
with closing(c.cursor()) as cr:
cr.execute('select 1')
print cr.fetchall()
def test():
with closing(pypgsql.connect(test_dsn)) as c:
test_select(c)
with closing(psycopg2.connect(test_dsn)) as c:
test_select(c)
if __name__ == '__main__':
test()
Here's what happens when pyPgSQL runs that select.
select version() BEGIN WORK DECLARE "PgSQL_0062AF80" CURSOR FOR select 1 FETCH 1 FROM "PgSQL_0062AF80" SELECT typname, -1 , typelem FROM pg_type WHERE oid = 23 FETCH ALL FROM "PgSQL_0062AF80" CLOSE "PgSQL_0062AF80" ROLLBACK WORK
First note that pyPgSQL issues a SELECT VERSION() command for every new connection. Why's it do that? Well since I've already dug through the source I can tell you that it does this to see if it has to do something wacky for PostgreSQL 7.1 and below. There's no way to disable this without patching the library.
This is not an enormous problem if the connection is pooled and reused, but it immediately becomes one if you want to use an out-of-process pool like PgBouncer. Every pyPgSQL connection that you make to pgbouncer will run this query, and in that scenario you are probably making zillions.
We get a transaction, even though I don't remember having asked for one. Since we never commit, it's rolled back. As default behavior this bites–more on this in a bit.
Finally, get a load of this:
SELECT typname, -1 , typelem FROM pg_type WHERE oid = 23;
That is pyPgSQL asking postgres what the name of the type associated with OID 23 is. I can tell you what it is without looking, it's an int4. The OID's of built-in types are hardcoded (see catalog/pg_types.h in the postgres source), so this is worse than pointless.
Well that was a shitshow. Now, what does psycopg2 do?
SET DATESTYLE TO 'ISO' SHOW client_encoding SHOW default_transaction_isolation BEGIN; SET TRANSACTION ISOLATION LEVEL READ COMMITTED select 1 ROLLBACK
This is marginally more acceptable. Which, to my point, means it's radically different. Right off the bat it is obvious that psycopg2 does not really support cursors. Apparently you can argue either side of this, but regardless it's a significant difference between the two libraries.
It would be better if there were a way to tell psycopg2 what the client encoding and default transaction isolation levels are, rather than have it query this with each connection. Again, this is fine unless you want to use an external connection pool. Note that READ COMMITTED is the default, which makes the SET unecessary, but it is issued anyway. (And since Postgres only really supports two isolation levels, it would be likewise pointless if the server setting were READ UNCOMMITTED).
As with pyPgSQL, the transaction-as-default-behavior thing is thoroughly brutal. As far as I can tell, this is not something the DBAPI2 PEP demands. There are many reasons why I think this is a bad idea, but they all boil down to the fact that transactions are not free. If you're executing a stored procedure, or just reading data, this boilerplate is superfluous. And if you want to get the most out of your database, you will have to turn this off. The syntax for disabling it is, of course, totally different and underdocumented in both libraries.
Note that PDO does nothing like this. PDO expects you to know what a transaction is. It gives you a prepared statement that you might not want, but that's a different problem.
If you've read this far, maybe you'd like to know what my advice is. Well, first of all, do not take the choice of driver lightly, and understand what you're getting into. You almost definitely want to use psycopg2, because on balance it is the least evil option*. If it comes to it, you can always patch out the unnecessary SHOW statements (although honestly, I'm not sure this will ever become an issue like pyPgSQL's stupid selects). However, you should take care to manage your use of transactions from the start of your project. That is the kind of thing that will be really painful to change after you have hundreds of queries implicitly relying on the default behavior.
* Also note that the pyPgSQL source mixes tabs and spaces. FML.