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# -*- encoding: utf8 -*-
from datetime import *
from decimal import Decimal
#from fastdec import mpd as Decimal
from cPickle import dumps, loads
#from sqlalchemy.dialects.postgresql.base import ARRAY
from stresstest import *
# ---
test_types = False
test_methods = True
test_pickle = False
test_orm = False
# ---
verbose = True
def values_results(raw_results):
return [tuple(r.values()) for r in raw_results]
def getitem_str_results(raw_results):
return [
(r['id'],
r['field0'], r['field1'], r['field2'], r['field3'], r['field4'],
r['field5'], r['field6'], r['field7'], r['field8'], r['field9'])
for r in raw_results]
def getitem_fallback_results(raw_results):
return [
(r['ID'],
r['FIELD0'], r['FIELD1'], r['FIELD2'], r['FIELD3'], r['FIELD4'],
r['FIELD5'], r['FIELD6'], r['FIELD7'], r['FIELD8'], r['FIELD9'])
for r in raw_results]
def getitem_int_results(raw_results):
return [
(r[0],
r[1], r[2], r[3], r[4], r[5],
r[6], r[7], r[8], r[9], r[10])
for r in raw_results]
def getitem_long_results(raw_results):
return [
(r[0L],
r[1L], r[2L], r[3L], r[4L], r[5L],
r[6L], r[7L], r[8L], r[9L], r[10L])
for r in raw_results]
def getitem_obj_results(raw_results):
c = test_table.c
fid, f0, f1, f2, f3, f4, f5, f6, f7, f8, f9 = (
c.id, c.field0, c.field1, c.field2, c.field3, c.field4,
c.field5, c.field6, c.field7, c.field8, c.field9)
return [
(r[fid],
r[f0], r[f1], r[f2], r[f3], r[f4],
r[f5], r[f6], r[f7], r[f8], r[f9])
for r in raw_results]
def slice_results(raw_results):
return [row[0:6] + row[6:11] for row in raw_results]
# ---------- #
# Test types #
# ---------- #
# Array
#def genarrayvalue(rnum, fnum):
# return [fnum, fnum + 1, fnum + 2]
#arraytest = (ARRAY(Integer), genarrayvalue,
# dict(num_fields=100, num_records=1000,
# engineurl='postgresql:///test'))
# Boolean
def genbooleanvalue(rnum, fnum):
if rnum % 4:
return bool(fnum % 2)
else:
return None
booleantest = (Boolean, genbooleanvalue, dict(num_records=100000))
# Datetime
def gendatetimevalue(rnum, fnum):
return (rnum % 4) and datetime(2005, 3, 3) or None
datetimetest = (DateTime, gendatetimevalue, dict(num_records=10000))
# Decimal
def gendecimalvalue(rnum, fnum):
if rnum % 4:
return Decimal(str(0.25 * fnum))
else:
return None
decimaltest = (Numeric(10, 2), gendecimalvalue, dict(num_records=10000))
# Interval
# no microseconds because Postgres does not seem to support it
from_epoch = timedelta(14643, 70235)
def genintervalvalue(rnum, fnum):
return from_epoch
intervaltest = (Interval, genintervalvalue,
dict(num_fields=2, num_records=100000))
# PickleType
def genpicklevalue(rnum, fnum):
return (rnum % 4) and {'str': "value%d" % fnum, 'int': rnum} or None
pickletypetest = (PickleType, genpicklevalue,
dict(num_fields=1, num_records=100000))
# TypeDecorator
class MyIntType(TypeDecorator):
impl = Integer
def process_bind_param(self, value, dialect):
return value * 10
def process_result_value(self, value, dialect):
return value / 10
def copy(self):
return MyIntType()
def genmyintvalue(rnum, fnum):
return rnum + fnum
typedecoratortest = (MyIntType, genmyintvalue,
dict(num_records=100000))
# Unicode
def genunicodevalue(rnum, fnum):
return (rnum % 4) and (u"value%d" % fnum) or None
unicodetest = (Unicode(20, assert_unicode=False), genunicodevalue,
dict(num_records=100000))
# dict(engineurl='mysql:///test', freshdata=False))
# do the tests
if test_types:
tests = [booleantest, datetimetest, decimaltest, intervaltest,
pickletypetest, typedecoratortest, unicodetest]
for engineurl in ('postgresql://scott:tiger@localhost/test',
'sqlite://', 'mysql://scott:tiger@localhost/test'):
print "\n%s\n" % engineurl
for datatype, genvalue, kwargs in tests:
print "%s:" % getattr(datatype, '__name__',
datatype.__class__.__name__),
profile_and_time_dbfunc(iter_results, datatype, genvalue,
profile=False, engineurl=engineurl,
verbose=verbose, **kwargs)
# ---------------------- #
# test row proxy methods #
# ---------------------- #
if test_methods:
methods = [iter_results, values_results, getattr_results,
getitem_str_results, getitem_fallback_results,
getitem_int_results, getitem_long_results, getitem_obj_results,
slice_results]
for engineurl in ('postgresql://scott:tiger@localhost/test',
'sqlite://', 'mysql://scott:tiger@localhost/test'):
print "\n%s\n" % engineurl
test_table = prepare(Unicode(20, assert_unicode=False),
genunicodevalue,
num_fields=10, num_records=100000,
verbose=verbose, engineurl=engineurl)
for method in methods:
print "%s:" % method.__name__,
time_dbfunc(test_table, method, genunicodevalue,
num_fields=10, num_records=100000, profile=False,
verbose=verbose)
# --------------------------------
# test pickling Rowproxy instances
# --------------------------------
def pickletofile_results(raw_results):
from cPickle import dump, load
for protocol in (0, 1, 2):
print "dumping protocol %d..." % protocol
f = file('noext.pickle%d' % protocol, 'wb')
dump(raw_results, f, protocol)
f.close()
return raw_results
def pickle_results(raw_results):
return loads(dumps(raw_results, 2))
def pickle_meta(raw_results):
pickled = dumps(raw_results[0]._parent, 2)
metadata = loads(pickled)
return raw_results
def pickle_rows(raw_results):
return [loads(dumps(row, 2)) for row in raw_results]
if test_pickle:
test_table = prepare(Unicode, genunicodevalue,
num_fields=10, num_records=10000)
funcs = [pickle_rows, pickle_results]
for func in funcs:
print "%s:" % func.__name__,
time_dbfunc(test_table, func, genunicodevalue,
num_records=10000, profile=False, verbose=verbose)
# --------------------------------
# test ORM
# --------------------------------
if test_orm:
from sqlalchemy.orm import *
class Test(object):
pass
Session = sessionmaker()
session = Session()
def get_results():
return session.query(Test).all()
print "ORM:",
for engineurl in ('postgresql:///test', 'sqlite://', 'mysql:///test'):
print "\n%s\n" % engineurl
profile_and_time_dbfunc(getattr_results, Unicode(20), genunicodevalue,
class_=Test, getresults_func=get_results,
engineurl=engineurl, #freshdata=False,
num_records=10000, verbose=verbose)
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