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Docs/faq/performance

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Some updates for FAQ/Performance documentation page:

* Fix typo in testing script.
* Populate testing script with one more way to achieve higher performance.

See commit messages for details.

Change-Id: Id6fbf328164b14b3b58ca9616b103a35e72f7b8f
Pull-request: https://github.com/zzzeek/sqlalchemy/pull/345
(cherry picked from commit a4c17c1397)
This commit is contained in:
Ihor Kalnytskyi
2017-03-30 10:07:31 -04:00
committed by Mike Bayer
parent 6d13f0ace3
commit e851bf436b
1 changed files with 31 additions and 13 deletions
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doc/build/faq/performance.rst
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@@ -307,20 +307,21 @@ The example below illustrates time-based tests for several different
methods of inserting rows, going from the most automated to the least.
With cPython 2.7, runtimes observed::
classics-MacBook-Pro:sqlalchemy classic$ python test.py
SQLAlchemy ORM: Total time for 100000 records 12.0471920967 secs
SQLAlchemy ORM pk given: Total time for 100000 records 7.06283402443 secs
SQLAlchemy ORM bulk_save_objects(): Total time for 100000 records 0.856323003769 secs
SQLAlchemy Core: Total time for 100000 records 0.485800027847 secs
sqlite3: Total time for 100000 records 0.487842082977 sec
SQLAlchemy ORM: Total time for 100000 records 7.2070479393 secs
SQLAlchemy ORM pk given: Total time for 100000 records 4.28471207619 secs
SQLAlchemy ORM bulk_save_objects(): Total time for 100000 records 1.58296084404 secs
SQLAlchemy ORM bulk_insert_mappings(): Total time for 100000 records 0.453973054886 secs
SQLAlchemy Core: Total time for 100000 records 0.210998058319 secs
sqlite3: Total time for 100000 records 0.136252880096 sec
We can reduce the time by a factor of three using recent versions of `Pypy <http://pypy.org/>`_::
classics-MacBook-Pro:sqlalchemy classic$ /usr/local/src/pypy-2.1-beta2-osx64/bin/pypy test.py
SQLAlchemy ORM: Total time for 100000 records 5.88369488716 secs
SQLAlchemy ORM pk given: Total time for 100000 records 3.52294301987 secs
SQLAlchemy Core: Total time for 100000 records 0.613556146622 secs
sqlite3: Total time for 100000 records 0.442467927933 sec
SQLAlchemy ORM: Total time for 100000 records 2.192882061 secs
SQLAlchemy ORM pk given: Total time for 100000 records 1.41679310799 secs
SQLAlchemy ORM bulk_save_objects(): Total time for 100000 records 0.494568824768 secs
SQLAlchemy ORM bulk_insert_mappings(): Total time for 100000 records 0.325763940811 secs
SQLAlchemy Core: Total time for 100000 records 0.239127874374 secs
sqlite3: Total time for 100000 records 0.124729156494 sec
Script::
@@ -380,6 +381,23 @@ Script::
" records " + str(time.time() - t0) + " secs")
def test_sqlalchemy_orm_bulk_save_objects(n=100000):
init_sqlalchemy()
t0 = time.time()
n1 = n
while n1 > 0:
n1 = n1 - 10000
DBSession.bulk_save_objects(
[
Customer(name="NAME " + str(i))
for i in xrange(min(10000, n1))
]
)
DBSession.commit()
print(
"SQLAlchemy ORM bulk_save_objects(): Total time for " + str(n) +
" records " + str(time.time() - t0) + " secs")
def test_sqlalchemy_orm_bulk_insert(n=100000):
init_sqlalchemy()
t0 = time.time()
@@ -395,10 +413,9 @@ Script::
)
DBSession.commit()
print(
"SQLAlchemy ORM bulk_save_objects(): Total time for " + str(n) +
"SQLAlchemy ORM bulk_insert_mappings(): Total time for " + str(n) +
" records " + str(time.time() - t0) + " secs")
def test_sqlalchemy_core(n=100000):
init_sqlalchemy()
t0 = time.time()
@@ -437,6 +454,7 @@ Script::
if __name__ == '__main__':
test_sqlalchemy_orm(100000)
test_sqlalchemy_orm_pk_given(100000)
test_sqlalchemy_orm_bulk_save_objects(100000)
test_sqlalchemy_orm_bulk_insert(100000)
test_sqlalchemy_core(100000)
test_sqlite3(100000)