数据库集合中有个字段是短信价格（单价*计费条数），经常会需要修改历史短信价格，由于数据量比较大（百万或者千万级别），for循环一条一条更新则速度非常慢。可使用下面脚本批量更新：

from pymongo import MongoClient, UpdateOne

# ------------------ 配置 MongoDB ------------------
username = "xxxx"
password = "xxxx"
host = "172.16.xxx.xxx"
port = 27017
db_name = "sms"
collection_name = "sms_record"

client = MongoClient(
    host=host,
    port=port,
    username=username,
    password=password,
    authSource=db_name
)

db = client[db_name]
smsRecord = db[collection_name]

# ------------------ 查询条件 ------------------
startPt = "20260101"
endPt = "20260107"
appId = 123456
query = {"pt": {'$gte': startPt, "$lte": endPt}, "appId": appId}

# ------------------ 批量更新设置 ------------------
batch_size = 1000  # 每批处理多少条
operations = []
updated_count = 0
smsPrice = 0.03  # 标准单价

# ------------------ 遍历并准备批量操作 ------------------
for item in smsRecord.find(query, no_cursor_timeout=True):
    sid = item['sid']
    amount = item['amount']
    fee = item['fee']
    
    if float(fee) / float(amount) == smsPrice:
        continue  # 已是标准单价，不需要更新

    print(item)
    new_fee = smsPrice * amount
    operations.append(UpdateOne({'sid': sid}, {'$set': {'fee': new_fee}}))
    updated_count += 1

    # 达到批量大小就提交一次
    if len(operations) >= batch_size:
        smsRecord.bulk_write(operations)
        print(f"已更新 {updated_count} 条记录")
        operations = []

# ------------------ 提交剩余未提交的操作 ------------------
if operations:
    smsRecord.bulk_write(operations)
    print(f"已更新 {updated_count} 条记录")

print(f"批量更新完成，总共更新 {updated_count} 条记录")