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MongoDB数据库(6)__motor

时间:2019-07-22 18:56:16      阅读:132      评论:0      收藏:0      [点我收藏+]

2019.7.22:

 

motor是异步实现python操作数据库的工具。能减少后端访问数据库的延迟。


Motor 是一个异步实现的 MongoDB 存储库 Motor 与 Pymongo 的配置基本类似。连接对象就由 MongoClient 变为 AsyncIOMotorClient 了。

 

一、连接

# 普通连接
client = motor.motor_asyncio.AsyncIOMotorClient(mongodb://localhost:27017)
# 副本集连接
client = motor.motor_asyncio.AsyncIOMotorClient(mongodb://host1,host2/?replicaSet=my-replicaset-name)
# 密码连接
client = motor.motor_asyncio.AsyncIOMotorClient(‘mongodb://username:password@localhost:27017/dbname‘)
# 获取数据库
db = client.zfdb
# db = client[‘zfdb‘]
# 获取 collection
collection = db.test
# collection = db[‘test‘]

 

二、添加一条记录

async def do_insert():
     document = {name: zone,sex:boy}
     result = await db.test_collection.insert_one(document)
     print(result %s % repr(result.inserted_id))
loop = asyncio.get_event_loop()
loop.run_until_complete(do_insert())

 

三、批量增加记录

async def do_insert():
    result = await db.test_collection.insert_many(
        [{name: i, sex: str(i + 2)} for i in range(20)])
    print(inserted %d docs % (len(result.inserted_ids),))

loop = asyncio.get_event_loop()
loop.run_until_complete(do_insert())

 

四、查找一条记录

async def do_find_one():
    document = await db.test_collection.find_one({name: zone})
    pprint.pprint(document)

loop = asyncio.get_event_loop()
loop.run_until_complete(do_find_one())

 

五、查找多条记录

async def do_find():
    cursor = db.test_collection.find({name: {$lt: 5}}).sort(i)
    for document in await cursor.to_list(length=100):
        pprint.pprint(document)

loop = asyncio.get_event_loop()
loop.run_until_complete(do_find())

# 添加筛选条件,排序、跳过、限制返回结果数
async def do_find():
    cursor = db.test_collection.find({name: {$lt: 4}})
    # Modify the query before iterating
    cursor.sort(‘name‘, -1).skip(1).limit(2)
    async for document in cursor:
        pprint.pprint(document)

loop = asyncio.get_event_loop()
loop.run_until_complete(do_find())

 

六、统计

async def do_count():
    n = await db.test_collection.count_documents({})
    print(%s documents in collection % n)
    n = await db.test_collection.count_documents({‘name‘: {‘$gt‘: 1000}})
    print(%s documents where i > 1000 % n)

loop = asyncio.get_event_loop()
loop.run_until_complete(do_count())

 

七、替换

async def do_replace():
    coll = db.test_collection
    old_document = await coll.find_one({name: zone})
    print(found document: %s % pprint.pformat(old_document))
    _id = old_document[_id]
    result = await coll.replace_one({_id: _id}, {sex: hanson boy})
    print(replaced %s document % result.modified_count)
    new_document = await coll.find_one({_id: _id})
    print(document is now %s % pprint.pformat(new_document))

loop = asyncio.get_event_loop()
loop.run_until_complete(do_replace())

 

八、更新指定字段,不会影响到其他内容

async def do_update():
    coll = db.test_collection
    result = await coll.update_one({name: 0}, {$set: {sex: girl}})
    print(更新条数: %s  % result.modified_count)
    new_document = await coll.find_one({name: 0})
    print(更新结果为: %s % pprint.pformat(new_document))

loop = asyncio.get_event_loop()
loop.run_until_complete(do_update())

 

九、删除置顶记录

async def do_delete_many():
    coll = db.test_collection
    n = await coll.count_documents({})
    print(删除前有 %s 条数据 % n)
    result = await db.test_collection.delete_many({name: {$gte: 10}})
    print(删除后 %s  % (await coll.count_documents({})))

loop = asyncio.get_event_loop()
loop.run_until_complete(do_delete_many())

 

MongoDB数据库(6)__motor

原文:https://www.cnblogs.com/marvintang1001/p/11227620.html

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