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- fix loop logic that was leaving out 10K items from

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example suites, fixes #4132

Change-Id: Icf07f33fc99a880d6165d300579ef5d2c366f6f5
(cherry picked from commit 6448903b52)
This commit is contained in:
Mike Bayer
2017-11-09 11:38:22 -05:00
parent 0274d80f83
commit bccfc2181d
1 changed files with 20 additions and 22 deletions
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doc/build/faq/performance.rst
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+20 -22
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@@ -307,21 +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::
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
SQLAlchemy ORM: Total time for 100000 records 6.89754080772 secs
SQLAlchemy ORM pk given: Total time for 100000 records 4.09481811523 secs
SQLAlchemy ORM bulk_save_objects(): Total time for 100000 records 1.65821218491 secs
SQLAlchemy ORM bulk_insert_mappings(): Total time for 100000 records 0.466513156891 secs
SQLAlchemy Core: Total time for 100000 records 0.21024107933 secs
sqlite3: Total time for 100000 records 0.137335062027 sec
We can reduce the time by a factor of three using recent versions of `Pypy <http://pypy.org/>`_::
We can reduce the time by a factor of nearly three using recent versions of `Pypy <http://pypy.org/>`_::
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
SQLAlchemy ORM: Total time for 100000 records 2.39429616928 secs
SQLAlchemy ORM pk given: Total time for 100000 records 1.51412987709 secs
SQLAlchemy ORM bulk_save_objects(): Total time for 100000 records 0.568987131119 secs
SQLAlchemy ORM bulk_insert_mappings(): Total time for 100000 records 0.320806980133 secs
SQLAlchemy Core: Total time for 100000 records 0.206904888153 secs
sqlite3: Total time for 100000 records 0.165791988373 sec
Script::
@@ -371,7 +371,7 @@ Script::
init_sqlalchemy()
t0 = time.time()
for i in xrange(n):
customer = Customer(id=i+1, name="NAME " + str(i))
customer = Customer(id=i + 1, name="NAME " + str(i))
DBSession.add(customer)
if i % 1000 == 0:
DBSession.flush()
@@ -384,13 +384,11 @@ Script::
def test_sqlalchemy_orm_bulk_save_objects(n=100000):
init_sqlalchemy()
t0 = time.time()
n1 = n
while n1 > 0:
n1 = n1 - 10000
for chunk in range(0, n, 10000):
DBSession.bulk_save_objects(
[
Customer(name="NAME " + str(i))
for i in xrange(min(10000, n1))
for i in xrange(chunk, min(chunk + 10000, n))
]
)
DBSession.commit()
@@ -398,17 +396,16 @@ Script::
"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()
n1 = n
while n1 > 0:
n1 = n1 - 10000
for chunk in range(0, n, 10000):
DBSession.bulk_insert_mappings(
Customer,
[
dict(name="NAME " + str(i))
for i in xrange(min(10000, n1))
for i in xrange(chunk, min(chunk + 10000, n))
]
)
DBSession.commit()
@@ -416,6 +413,7 @@ Script::
"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()