mongodb安装到使用(二)

4.python mongodb

连接数据库,关闭连接:

import pymongo

def connection_db():
    connection = pymongo.MongoClient("127.0.0.1", 27017)      # 连接本地mongodb库
    tdb = connection["ticket"]                                                                   # 连接ticket库 也可写为 tdb = connection.ticket
    return connection, tdb

def close_connection(connection):
    connection.close()                                                                                 # 关闭连接

插入数据

def insert_one_data(tdb, collection, mongodb_data):
    insert_x = tdb[collection].insert_one(mongodb_data)       # 插入一条数据
    return insert_x

def insert_many_data(tdb, collection, mongodb_data):
    insert_x = tdb[collection].insert_many(mongodb_data)     # 插入多条数据
    return insert_x

if "__name__" == "main":
    conn, tdb = connection_db()
    res = insert_many_data(tdb, "ticket_info", data)   
    print(res._InsertManyResult__inserted_ids)
    print( res.acknowledged)

    close_connection(conn)

输出结果:

[ObjectId('5e6f45309057eba36a8b2471'), ObjectId('5e6f45309057eba36a8b2472'), ObjectId('5e6f45309057eba36a8b2473'), ObjectId('5e6f45309057eba36a8b2474'), ObjectId('5e6f45309057eba36a8b2475')]
True

查询数据:

from bson.objectid import ObjectId

## 若要查询mongodb自动生成的 _id 为查询条件 需要上面的ObjectId包

def select_one_data(tdb, collection, filters):
    info = tdb[collection].find_one(filters)  # 查询单条数据
    return info

def select_all_data(tdb, collection, filters):  #  查询多条数据,返回可迭代对象
    info = tdb[collection].find(filters)
    return info

if "__name__" == "main":
    conn, tdb = connection_db()
    filter = {"_id": ObjectId("5e6f45309057eba36a8b2471")}
    res = select_all_data(tdb, "ticket_info", filter)
    for item in res:   
        print(item)

    close_connection()

输出结果:

{'_id': ObjectId('5e6f45309057eba36a8b2471'), 'item': 'journal', 'qty': 25, 'tags': ['blank', 'red'], 'dim_cm': [14, 21]}

查询条件:

需求条件 转化后示例 备注
page=1, size=10 tdb.ticket_info.find(filter).limit(size).skip( size * (page - 1) )
qty > 40 filter = {"qty": {"$gt": 40}}
qty = 25 filter = {"qty": 25} 或 filter = {"qty": {"$ne": 25}}
qty < 40 filter = {"qty": {"$lt": 40}}
qty >= 40 filter = {"qty": {"$gte": 40}}
qty <= 40 filter = {"qty": {"$lte": 40}}
qty in [25, 45] filter = {"qty": {"$in": [25, 45]}}
qty berween 10 and 100 filter = {"qty": {"$gte": 10, "$lte": 100}}
item like "%p%" filter = {"item": {"$regex": "p"}} 若是以p开头,"^p"; 若是以p结尾,"p$"
若遇到{"name": 'z3', "child":[{"name": "zq", "age": 10}, {"name": "zw", "age": 11} ]}这样的数据类型,想要搜索列表中的数据 filter = {"name.name": "zq"}
排序,倒叙为-1,正序为1,以上面数据类型为例 query_result.sort("name", 1).sort( "name.age", -1) 有多少个排序字段,加多少个sort方法
计算结果条数 query_result.count() query_result为find方法等等执行完成的对象
若想仅展示某些字段,或不返回某些字段 find(filter, {"_id": 0, "qty": 1}) find()的第一个参数是dict类型的检索条件,第二个参数为定义哪些字段展和禁止返回的,例子的信息是 "_id"字段不返回,"qty": 字段返回

注意:

skip(), limilt(), sort()三个放在一起执行的时候,执行的顺序是先 sort(), 然后是 skip(),最后是显示的 limit()。

更新数据:

def update_one_data(tdb, collection, my_query, new_values):   # 更新一条数据
    tdb[collection].update_one(my_query, new_values)

def update_many_data(tdb, collection, my_query, new_values):    # 更新多条数据
    tdb[collection].update_many(my_query, new_values)

删除数据:

def delete_one_data(tdb, collection, filters):
    tdb[collection].delete_one(filters)

def delete_many_data(tdb, collection, filters):
    tdb[collection].delete_many(filters)

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转载自blog.51cto.com/14612701/2479266