#!/usr/bin/python3

import time
import psycopg2

############
SAMPLES = 10000
############


MICROSECONDS_PER_SECOND = 1000000

db = psycopg2.connect('host=10.108.1.3 user=postgres password=foobar')
c = db.cursor()

def MeanExecutionTime(samples):
    start = time.perf_counter()
    for _ in range(samples):
        c.execute('SELECT 1')
    end = time.perf_counter()

    return (end - start) / samples

print('%dus' % (MeanExecutionTime(SAMPLES) * MICROSECONDS_PER_SECOND))