tencent cloud

#!/usr/bin/python
"""
Through simple ways of data reading and writing, the operation of a data volume of 100,000 records is simulated. During data insertion, faults are injected through the Chaotic Fault Generator. Observe the differences before and after fault injection.
This script is for reference only. In real experiments, it is advised that faults be simulated by means of business scenes that are closer to production environments.
"""
import pymongo
import random

# During an experiment, use the MongoDB instance Uri where a fault is injected for replacement. See MongoDB [Instance Details-Network Configuration-Connection Address] for details.
mongodbUri = 'mongodb://mongouser:thepasswordA1@ip:port/admin'
client = pymongo.MongoClient(mongodbUri)
# Database assignment
db = client.somedb
# Data sets deletion
db.user.drop()
# Customize the size of data to be inserted. It is advised that a larger data size be used to allow observation during experiments.
element_num = 3 * 10 ** 6
for id in range(element_num):
    # Insert random documents    
    name = random.choice(['R9', 'caÒt', 'owen', 'lee', 'J'])    
    sex = random.choice(['male', 'female'])    
    try:
        db.user.insert_one({'id': id, 'name': name, 'sex': sex})
    except Exception as e:
        print('error id', id)
# Query full-load documents
content = db.user.find()
for i in content:
    print(i)