解决MongoDB技术开发中遇到的稳定性问题的方法研究

from pymongo import MongoClient

def connect_mongodb():
    client = MongoClient("mongodb://localhost:27017")
    # 设置最大连接数为100，最小连接数为10，连接超时时间为5秒
    client.max_pool_size = 100
    client.min_pool_size = 10
    client.server_selection_timeout = 5000
    return client

from pymongo import MongoClient
from pymongo.pool import Pool

class MyConnectionPool(Pool):
    def __init__(self, max_connections=100, *args, **kwargs):
        super().__init__(max_connections, *args, **kwargs)
        self.connections = []

    def create_connection(self):
        client = MongoClient("mongodb://localhost:27017")
        # 设置连接的超时时间
        client.server_selection_timeout = 5000
        self.connections.append(client)
        return client

    def get_connection(self):
        if self.connections:
            return self.connections.pop()
        return self.create_connection()

    def release_connection(self, connection):
        self.connections.append(connection)

    def close(self):
        for connection in self.connections:
            connection.close()
        self.connections = []

pool = MyConnectionPool(max_connections=10)

from pymongo import MongoClient

def write_to_mongodb():
    client = MongoClient("mongodb://localhost:27017")
    # 设置写入关注级别为 majority
    client.write_concern = {'w': 'majority'}
    db = client['mydb']
    collection = db['mycollection']
    collection.insert_one({'name': 'Alice'})

from pymongo import MongoClient

def bulk_write_to_mongodb():
    client = MongoClient("mongodb://localhost:27017")
    db = client['mydb']
    collection = db['mycollection']
    # 批量写入数据
    requests = [InsertOne({'name': 'Alice'}), InsertOne({'name': 'Bob'})]
    collection.bulk_write(requests)