python连接mongodb副本集-插入测试数据脚本#!/usr/bin/python
# -*- coding: utf-8 -*-
import pymongo
from pymongo import MongoClient
from pymongo import ReadPreference
import time
import argparse
# 定义执行时长装饰器函数
def warps(*args):
def deco(func):
def _deco(*args, **kwargs):
# 记录开始时间
start = time.clock()
# 回调原函数
func(*args, **kwargs)
# 记录结束时间
end = time.clock()
# 计算执行时长
delat = end - start
# 转换成ms输出
print("delay:%sms" % (int(delat*1000)))
return _deco
return deco
# 连接副本集
def get_mongo_conn_url_replicaset(ip_port_list, user=None, pwd=None, set_name=None):
url = 'mongodb://'
if user is not None:
if pwd is None:
pwd = user
url += '%s:%s@' % (user, pwd)
url += ','.join(ip_port_list)
if set_name is not None:
url += '/?replicaSet=%s' % set_name
return url
ip_port_list = ['172.16.1.250:27017', '172.16.1.251:27017', '172.16.1.252:27017']
conn_url = get_mongo_conn_url_replicaset(ip_port_list, "root", "root123.", "rs0")
conn = MongoClient(conn_url)
# 读写分离
db = conn.get_database('test', read_preference=ReadPreference.SECONDARY_PREFERRED)
# 定义连接的集合
collection = db.student
# 创建插入数据函数
def data_insert(num):
try:
for i in range(1, num):
collection.insert({"name": "student"+str(i), "age": (i % 100), "city": "FuZhou"})
print ("Insert data:",i)
except Exception as e:
print("insert data:", e)
# 创建查询数据函数，引用装饰器函数
@warps()
def data_select(num):
try:
count = collection.find().count()
while count != num - 1:
count = collection.find().count()
except Exception as e:
print("select data:", e)
# 创建删除数据函数
def data_delete():
try:
collection.remove({})
except Exception as e:
print("delete data:", e)
# 创建计算延迟时长函数
def data_delay(num):
data_insert(num)
data_select(num)
if __name__ == '__main__':
# 定义脚本需要传入插入的数据量，默认值为1000，通过-n传入参数
parser = argparse.ArgumentParser(description='insert data to mongodb number')
parser.add_argument('-n', action='store', dest='num', type=int, required=False, default=1000)
given_args = parser.parse_args()
num = given_args.num
data_insert(num) #测试批量插入功能
#data_delete() #测试数据延迟脚本
# data_delay(num) #测试数据延迟脚本
使用方法：
[root@node250 python_scripts]# ./Mongodb_Delay_data_data.py -n 1000
