Open ng-celes opened 8 years ago
Small inserts should also be faster, I measured them (indirectly, via Django ORM) here https://github.com/chtd/psycopg2-benchmarks/blob/master/django_bench/bench.py#L51, and here are the results http://chtd.ru/blog/bystraya-rabota-s-postgres-pod-pypy/?lang=en. But there might be something that is indeed slower.
Hi, I report an weird for me issue. I'm inserting test data into PostgreSQL 9.3 (milions of single, simple rows)
When I'm using bulk_create() method:
_insert_list.append(myModel), every 10000 times myModel.objects.bulk_create(insertlist)
performance raises when switching to PyPy 4.0.1 instead CPython 2.7.6 from 11k inserts/s to 17k inserts/s, which is fine ...
But when I'm using cursor_execute() method:
_querybase = 'INSERT INTO table (id,vg,vn,vb,pt) VALUES ' .... query += '(%i,%i,%i,%i,0)' % (i, 20+i%30, 10+i%20, i%10) .... and every 50000 times cursor.execute(query)
performance significally drops from 35k inserts/s to only ... 8k inserts/s.
Can someone check if this is repeatable issue or anyone has idea why it's happening? The only thing which changes between tests is switching psycopg2 to psycopg2cffi (newest from pip)