- Python 数据访问教程
- Python 数据访问 - 首页
- Python MySQL
- Python MySQL - 简介
- Python MySQL - 数据库连接
- Python MySQL - 创建数据库
- Python MySQL - 创建表
- Python MySQL - 插入数据
- Python MySQL - 选择数据
- Python MySQL - Where 子句
- Python MySQL - Order By
- Python MySQL - 更新表
- Python MySQL - 删除数据
- Python MySQL - 删除表
- Python MySQL - Limit
- Python MySQL - Join
- Python MySQL - 游标对象
- Python PostgreSQL
- Python PostgreSQL - 简介
- Python PostgreSQL - 数据库连接
- Python PostgreSQL - 创建数据库
- Python PostgreSQL - 创建表
- Python PostgreSQL - 插入数据
- Python PostgreSQL - 选择数据
- Python PostgreSQL - Where 子句
- Python PostgreSQL - Order By
- Python PostgreSQL - 更新表
- Python PostgreSQL - 删除数据
- Python PostgreSQL - 删除表
- Python PostgreSQL - Limit
- Python PostgreSQL - Join
- Python PostgreSQL - 游标对象
- Python SQLite
- Python SQLite - 简介
- Python SQLite - 建立连接
- Python SQLite - 创建表
- Python SQLite - 插入数据
- Python SQLite - 选择数据
- Python SQLite - Where 子句
- Python SQLite - Order By
- Python SQLite - 更新表
- Python SQLite - 删除数据
- Python SQLite - 删除表
- Python SQLite - Limit
- Python SQLite - Join
- Python SQLite - 游标对象
- Python MongoDB
- Python MongoDB - 简介
- Python MongoDB - 创建数据库
- Python MongoDB - 创建集合
- Python MongoDB - 插入文档
- Python MongoDB - 查找
- Python MongoDB - 查询
- Python MongoDB - 排序
- Python MongoDB - 删除文档
- Python MongoDB - 删除集合
- Python MongoDB - 更新
- Python MongoDB - Limit
- Python 数据访问资源
- Python 数据访问 - 快速指南
- Python 数据访问 - 有用资源
- Python 数据访问 - 讨论
Python MongoDB - 更新
您可以使用update() 方法或save() 方法更新现有文档的内容。
update 方法修改现有文档,而 save 方法用新文档替换现有文档。
语法
以下是 MangoDB 的 update() 和 save() 方法的语法:
>db.COLLECTION_NAME.update(SELECTION_CRITERIA, UPDATED_DATA)
Or,
db.COLLECTION_NAME.save({_id:ObjectId(),NEW_DATA})
示例
假设我们在数据库中创建了一个集合,并在其中插入了 3 条记录,如下所示:
> use testdatabase
switched to db testdatabase
> data = [
... {"_id": "1001", "name": "Ram", "age": "26", "city": "Hyderabad"},
... {"_id": "1002", "name" : "Rahim", "age" : 27, "city" : "Bangalore" },
... {"_id": "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
]
[
{
"_id" : "1001",
"name" : "Ram",
"age" : "26",
"city" : "Hyderabad"
},
{
"_id" : "1002",
"name" : "Rahim",
"age" : 27,
"city" : "Bangalore"
},
{
"_id" : "1003",
"name" : "Robert",
"age" : 28,
"city" : "Mumbai"
}
]
> db.createCollection("sample")
{ "ok" : 1 }
> db.sample.insert(data)
以下方法更新了 id 为 1002 的文档的城市值。
> db.sample.update({"_id":"1002"},{"$set":{"city":"Visakhapatnam"}})
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.sample.find()
{ "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Hyderabad" }
{ "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" }
{ "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
类似地,您可以使用 save() 方法保存具有相同 id 的新数据来替换文档。
> db.sample.save(
{ "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" }
)
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.sample.find()
{ "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" }
{ "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" }
{ "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
使用 python 更新文档
类似于检索单个文档的 find_one() 方法,pymongo 的 update_one() 方法更新单个文档。
此方法接受一个查询,指定要更新的文档和更新操作。
示例
以下 python 示例更新集合中文档的位置值。
from pymongo import MongoClient
#Creating a pymongo client
client = MongoClient('localhost', 27017)
#Getting the database instance
db = client['myDB']
#Creating a collection
coll = db['example']
#Inserting document into a collection
data = [
{"_id": "101", "name": "Ram", "age": "26", "city": "Hyderabad"},
{"_id": "102", "name": "Rahim", "age": "27", "city": "Bangalore"},
{"_id": "103", "name": "Robert", "age": "28", "city": "Mumbai"}
]
res = coll.insert_many(data)
print("Data inserted ......")
#Retrieving all the records using the find() method
print("Documents in the collection: ")
for doc1 in coll.find():
print(doc1)
coll.update_one({"_id":"102"},{"$set":{"city":"Visakhapatnam"}})
#Retrieving all the records using the find() method
print("Documents in the collection after update operation: ")
for doc2 in coll.find():
print(doc2)
输出
Data inserted ......
Documents in the collection:
{'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'}
{'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Bangalore'}
{'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'}
Documents in the collection after update operation:
{'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'}
{'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Visakhapatnam'}
{'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'}
类似地,pymongo 的update_many() 方法更新满足指定条件的所有文档。
示例
以下示例更新集合中所有文档(空条件)的位置值:
from pymongo import MongoClient
#Creating a pymongo client
client = MongoClient('localhost', 27017)
#Getting the database instance
db = client['myDB']
#Creating a collection
coll = db['example']
#Inserting document into a collection
data = [
{"_id": "101", "name": "Ram", "age": "26", "city": "Hyderabad"},
{"_id": "102", "name": "Rahim", "age": "27", "city": "Bangalore"},
{"_id": "103", "name": "Robert", "age": "28", "city": "Mumbai"}
]
res = coll.insert_many(data)
print("Data inserted ......")
#Retrieving all the records using the find() method
print("Documents in the collection: ")
for doc1 in coll.find():
print(doc1)
coll.update_many({},{"$set":{"city":"Visakhapatnam"}})
#Retrieving all the records using the find() method
print("Documents in the collection after update operation: ")
for doc2 in coll.find():
print(doc2)
输出
Data inserted ......
Documents in the collection:
{'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'}
{'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Bangalore'}
{'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'}
Documents in the collection after update operation:
{'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Visakhapatnam'}
{'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Visakhapatnam'}
{'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Visakhapatnam'}
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