MongoDB数据库（6）__motor

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。

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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())