jdimatteo

import sqlalchemy
import sqlalchemy.ext.declarative
import sqlalchemy_bigquery
import os

Base = sqlalchemy.ext.declarative.declarative_base()

class Foo2(Base):
    __tablename__ = 'foo2'

jdimatteo

(venv) jdimatteo@dimo:~/dev/great_expectations_fork_2$ py.test-benchmark compare --name long tests/performance/results/*.json --columns min

----------------------------------------------------------- benchmark: 144 tests -----------------------------------------------------------
Name (time in s)                                                                                                               Min          
--------------------------------------------------------------------------------------------------------------------------------------------
tests/performance/test_bigquery_benchmarks.py::test_taxi_trips_benchmark[1-True-V3] (initial_baseline_run_3)                3.2818 (1.0)    
tests/performance/test_bigquery_benchmarks.py::test_taxi_trips_benchmark[1-False-V3] (initial_baseline_run_2)               3.3227 (1.01)   
tests/performance/test_bigquery_benchmarks.py::test_taxi_trips_benchmark[1-True-V3] (initial_baseline_run_2)                3.5200 (1.07)   
tests/performance/test_bigquery_bench

jdimatteo

"""
	Pickle vs JSON by Konstantin Kovshenin
	Feel free to use this code as you wish
	
	Discussions: http://kovshenin.com/archives/pickle-vs-json-which-is-faster/
	Author: Konstantin Kovshenin -- http://kovshenin.com
	Written in December 2010 for Python 2.6
"""

import json as simplejson # json is faster than simplejson