1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410
|
from __future__ import unicode_literals
"""Benchmark for SQLAlchemy.
An adaptation of Robert Brewers' ZooMark speed tests. """
import datetime
from sqlalchemy import Table, Column, Integer, Unicode, Date, \
DateTime, Time, Float, Sequence, ForeignKey, \
select, join, and_, outerjoin, func
from sqlalchemy.testing import replay_fixture
ITERATIONS = 1
class ZooMarkTest(replay_fixture.ReplayFixtureTest):
"""Runs the ZooMark and squawks if method counts vary from the norm."""
__requires__ = 'cpython',
__only_on__ = 'postgresql+psycopg2'
def _run_steps(self, ctx):
with ctx():
self._baseline_1a_populate()
with ctx():
self._baseline_2_insert()
with ctx():
self._baseline_3_properties()
with ctx():
self._baseline_4_expressions()
with ctx():
self._baseline_5_aggregates()
with ctx():
self._baseline_6_editing()
with ctx():
self._baseline_7_multiview()
def setup_engine(self):
self._baseline_1_create_tables()
def teardown_engine(self):
self._baseline_8_drop()
def _baseline_1_create_tables(self):
Table(
'Zoo',
self.metadata,
Column('ID', Integer, Sequence('zoo_id_seq'),
primary_key=True, index=True),
Column('Name', Unicode(255)),
Column('Founded', Date),
Column('Opens', Time),
Column('LastEscape', DateTime),
Column('Admission', Float),
)
Table(
'Animal',
self.metadata,
Column('ID', Integer, Sequence('animal_id_seq'),
primary_key=True),
Column('ZooID', Integer, ForeignKey('Zoo.ID'), index=True),
Column('Name', Unicode(100)),
Column('Species', Unicode(100)),
Column('Legs', Integer, default=4),
Column('LastEscape', DateTime),
Column('Lifespan', Float(4)),
Column('MotherID', Integer, ForeignKey('Animal.ID')),
Column('PreferredFoodID', Integer),
Column('AlternateFoodID', Integer),
)
self.metadata.create_all()
def _baseline_1a_populate(self):
Zoo = self.metadata.tables['Zoo']
Animal = self.metadata.tables['Animal']
engine = self.metadata.bind
wap = engine.execute(Zoo.insert(), Name='Wild Animal Park',
Founded=datetime.date(2000, 1, 1),
Opens=datetime.time(8, 15, 59),
LastEscape=datetime.datetime(
2004, 7, 29, 5, 6, 7),
Admission=4.95).inserted_primary_key[0]
sdz = engine.execute(Zoo.insert(), Name='San Diego Zoo',
Founded=datetime.date(1935, 9, 13),
Opens=datetime.time(9, 0, 0),
Admission=0).inserted_primary_key[0]
engine.execute(Zoo.insert(inline=True), Name='Montr\xe9al Biod\xf4me',
Founded=datetime.date(1992, 6, 19),
Opens=datetime.time(9, 0, 0), Admission=11.75)
seaworld = engine.execute(Zoo.insert(), Name='Sea_World',
Admission=60).inserted_primary_key[0]
# Let's add a crazy futuristic Zoo to test large date values.
engine.execute(
Zoo.insert(), Name='Luna Park',
Founded=datetime.date(2072, 7, 17),
Opens=datetime.time(0, 0, 0),
Admission=134.95).inserted_primary_key[0]
# Animals
leopardid = engine.execute(Animal.insert(), Species='Leopard',
Lifespan=73.5).inserted_primary_key[0]
engine.execute(Animal.update(Animal.c.ID == leopardid), ZooID=wap,
LastEscape=datetime.datetime(
2004, 12, 21, 8, 15, 0, 999907,)
)
engine.execute(
Animal.insert(),
Species='Lion', ZooID=wap).inserted_primary_key[0]
engine.execute(Animal.insert(), Species='Slug', Legs=1, Lifespan=.75)
engine.execute(Animal.insert(), Species='Tiger',
ZooID=sdz).inserted_primary_key[0]
# Override Legs.default with itself just to make sure it works.
engine.execute(Animal.insert(inline=True), Species='Bear', Legs=4)
engine.execute(Animal.insert(inline=True), Species='Ostrich', Legs=2,
Lifespan=103.2)
engine.execute(Animal.insert(inline=True), Species='Centipede',
Legs=100)
engine.execute(Animal.insert(), Species='Emperor Penguin',
Legs=2, ZooID=seaworld).inserted_primary_key[0]
engine.execute(Animal.insert(), Species='Adelie Penguin',
Legs=2, ZooID=seaworld).inserted_primary_key[0]
engine.execute(Animal.insert(inline=True), Species='Millipede',
Legs=1000000, ZooID=sdz)
# Add a mother and child to test relationships
bai_yun = engine.execute(
Animal.insert(),
Species='Ape',
Name='Bai Yun',
Legs=2).inserted_primary_key[0]
engine.execute(Animal.insert(inline=True), Species='Ape',
Name='Hua Mei', Legs=2, MotherID=bai_yun)
def _baseline_2_insert(self):
Animal = self.metadata.tables['Animal']
i = Animal.insert(inline=True)
for x in range(ITERATIONS):
i.execute(Species='Tick', Name='Tick %d' % x, Legs=8)
def _baseline_3_properties(self):
Zoo = self.metadata.tables['Zoo']
Animal = self.metadata.tables['Animal']
engine = self.metadata.bind
def fullobject(select):
"""Iterate over the full result row."""
return list(engine.execute(select).first())
for x in range(ITERATIONS):
# Zoos
fullobject(Zoo.select(Zoo.c.Name == 'Wild Animal Park'))
fullobject(Zoo.select(Zoo.c.Founded ==
datetime.date(1935, 9, 13)))
fullobject(Zoo.select(Zoo.c.Name ==
'Montr\xe9al Biod\xf4me'))
fullobject(Zoo.select(Zoo.c.Admission == float(60)))
# Animals
fullobject(Animal.select(Animal.c.Species == 'Leopard'))
fullobject(Animal.select(Animal.c.Species == 'Ostrich'))
fullobject(Animal.select(Animal.c.Legs == 1000000))
fullobject(Animal.select(Animal.c.Species == 'Tick'))
def _baseline_4_expressions(self):
Zoo = self.metadata.tables['Zoo']
Animal = self.metadata.tables['Animal']
engine = self.metadata.bind
def fulltable(select):
"""Iterate over the full result table."""
return [list(row) for row in engine.execute(select).fetchall()]
for x in range(ITERATIONS):
assert len(fulltable(Zoo.select())) == 5
assert len(fulltable(Animal.select())) == ITERATIONS + 12
assert len(fulltable(Animal.select(Animal.c.Legs == 4))) \
== 4
assert len(fulltable(Animal.select(Animal.c.Legs == 2))) \
== 5
assert len(
fulltable(
Animal.select(
and_(
Animal.c.Legs >= 2,
Animal.c.Legs < 20)))) == ITERATIONS + 9
assert len(fulltable(Animal.select(Animal.c.Legs > 10))) \
== 2
assert len(fulltable(Animal.select(Animal.c.Lifespan
> 70))) == 2
assert len(fulltable(Animal.select(Animal.c.Species.
startswith('L')))) == 2
assert len(fulltable(Animal.select(Animal.c.Species.
endswith('pede')))) == 2
assert len(fulltable(Animal.select(Animal.c.LastEscape
!= None))) == 1
assert len(
fulltable(
Animal.select(
None == Animal.c.LastEscape))) == ITERATIONS + 11
# In operator (containedby)
assert len(fulltable(Animal.select(Animal.c.Species.like('%pede%'
)))) == 2
assert len(
fulltable(
Animal.select(
Animal.c.Species.in_(
['Lion', 'Tiger', 'Bear'])))) == 3
# Try In with cell references
class thing(object):
pass
pet, pet2 = thing(), thing()
pet.Name, pet2.Name = 'Slug', 'Ostrich'
assert len(
fulltable(
Animal.select(
Animal.c.Species.in_([pet.Name, pet2.Name])))) == 2
# logic and other functions
assert len(fulltable(Animal.select(Animal.c.Species.like('Slug'
)))) == 1
assert len(fulltable(Animal.select(Animal.c.Species.like('%pede%'
)))) == 2
name = 'Lion'
assert len(
fulltable(
Animal.select(
func.length(
Animal.c.Species) == len(name)))) == ITERATIONS + 3
assert len(
fulltable(
Animal.select(
Animal.c.Species.like('%i%')))) == ITERATIONS + 7
# Test now(), today(), year(), month(), day()
assert len(
fulltable(
Zoo.select(
and_(
Zoo.c.Founded != None,
Zoo.c.Founded < func.current_timestamp(
_type=Date))))) == 3
assert len(
fulltable(
Animal.select(
Animal.c.LastEscape == func.current_timestamp(
_type=Date)))) == 0
assert len(
fulltable(
Animal.select(
func.date_part(
'year',
Animal.c.LastEscape) == 2004))) == 1
assert len(
fulltable(
Animal.select(
func.date_part(
'month',
Animal.c.LastEscape) == 12))) == 1
assert len(
fulltable(
Animal.select(
func.date_part(
'day',
Animal.c.LastEscape) == 21))) == 1
def _baseline_5_aggregates(self):
Animal = self.metadata.tables['Animal']
Zoo = self.metadata.tables['Zoo']
engine = self.metadata.bind
for x in range(ITERATIONS):
# views
view = engine.execute(select([Animal.c.Legs])).fetchall()
legs = sorted([x[0] for x in view])
expected = {
'Leopard': 73.5,
'Slug': .75,
'Tiger': None,
'Lion': None,
'Bear': None,
'Ostrich': 103.2,
'Centipede': None,
'Emperor Penguin': None,
'Adelie Penguin': None,
'Millipede': None,
'Ape': None,
'Tick': None,
}
for species, lifespan in engine.execute(
select([Animal.c.Species, Animal.c.Lifespan])).fetchall():
assert lifespan == expected[species]
expected = ['Montr\xe9al Biod\xf4me', 'Wild Animal Park']
e = select([Zoo.c.Name],
and_(Zoo.c.Founded != None,
Zoo.c.Founded <= func.current_timestamp(),
Zoo.c.Founded >= datetime.date(1990,
1,
1)))
values = [val[0] for val in engine.execute(e).fetchall()]
assert set(values) == set(expected)
# distinct
legs = [
x[0]
for x in engine.execute(
select([Animal.c.Legs],
distinct=True)).fetchall()]
legs.sort()
def _baseline_6_editing(self):
Zoo = self.metadata.tables['Zoo']
engine = self.metadata.bind
for x in range(ITERATIONS):
# Edit
SDZ = engine.execute(Zoo.select(Zoo.c.Name == 'San Diego Zoo'
)).first()
engine.execute(
Zoo.update(
Zoo.c.ID == SDZ['ID']),
Name='The San Diego Zoo',
Founded=datetime.date(1900, 1, 1),
Opens=datetime.time(7, 30, 0), Admission='35.00')
# Test edits
SDZ = engine.execute(Zoo.select(Zoo.c.Name == 'The San Diego Zoo'
)).first()
assert SDZ['Founded'] == datetime.date(1900, 1, 1), \
SDZ['Founded']
# Change it back
engine.execute(Zoo.update(Zoo.c.ID == SDZ['ID'
]), Name='San Diego Zoo',
Founded=datetime.date(1935, 9, 13),
Opens=datetime.time(9, 0, 0),
Admission='0')
# Test re-edits
SDZ = engine.execute(Zoo.select(Zoo.c.Name == 'San Diego Zoo'
)).first()
assert SDZ['Founded'] == datetime.date(1935, 9, 13)
def _baseline_7_multiview(self):
Zoo = self.metadata.tables['Zoo']
Animal = self.metadata.tables['Animal']
engine = self.metadata.bind
def fulltable(select):
"""Iterate over the full result table."""
return [list(row) for row in engine.execute(select).fetchall()]
for x in range(ITERATIONS):
fulltable(
select(
[Zoo.c.ID] + list(Animal.c),
Zoo.c.Name == 'San Diego Zoo',
from_obj=[join(Zoo, Animal)]))
Zoo.select(Zoo.c.Name == 'San Diego Zoo')
fulltable(
select(
[Zoo.c.ID, Animal.c.ID],
and_(
Zoo.c.Name == 'San Diego Zoo',
Animal.c.Species == 'Leopard'
),
from_obj=[join(Zoo, Animal)])
)
# Now try the same query with INNER, LEFT, and RIGHT JOINs.
fulltable(select([
Zoo.c.Name, Animal.c.Species],
from_obj=[join(Zoo, Animal)]))
fulltable(select([
Zoo.c.Name, Animal.c.Species],
from_obj=[outerjoin(Zoo, Animal)]))
fulltable(select([
Zoo.c.Name, Animal.c.Species],
from_obj=[outerjoin(Animal, Zoo)]))
def _baseline_8_drop(self):
self.metadata.drop_all()
|