MongoDB pymongo模塊 查詢

 

查詢

mongo_db 相似於 服務器命令行的db 

咱們能夠db.user.find() 查詢

 

find() 

須要加上列表

 

import pymongo

mongo_client = pymongo.MongoClient(
    host='192.168.0.112',
    port=27017,
    username="admin",
    password="123456"
)

mongo_db = mongo_client["db1"]
# 查詢
res = mongo_db.user.find()
res = list(res)
print(res)

返回結果，和服務器同樣的

[
    {'_id': ObjectId('5ca7a4b0219efd687462f965'), 'id': 1.0, 'name': 'jack', 'age': 73.0}, 
    {'_id': ObjectId('5ca7a4b7219efd687462f966'), 'id': 2.0, 'name': 'mike', 'age': 84.0, 'gender': '男'}, 
    {'_id': ObjectId('5ca7a4c4219efd687462f967'), 'id': 3.0, 'name': 'peter', 'age': 21.0}, 
    {'_id': ObjectId('5ca7a4c4219efd687462f968'), 'id': 4.0, 'name': 'xiaogang', 'age': 34.0, 'hobby': ['籃球']}, 
    {'_id': ObjectId('5ca7a4c4219efd687462f969'), 'id': 5.0, 'name': 'ben', 'age': 24.0}, 
    {'_id': ObjectId('5ca7a505219efd687462f96a'), 'id': 6.0, 'name': 'Mary', 'age': 84.0, 'gender': '男'}
]

 

find_one()方法：

import pymongo

# 生成pymongo對象,傳入鏈接服務器相關參數 ip 端口
mongo_client = pymongo.MongoClient(
    host='192.168.0.112',
    port=27017,
    username="admin",
    password="123456"
)

# 選擇鏈接的數據庫
mongo_db = mongo_client["db1"]
# 查詢
res = mongo_db.user.find_one()
print(res)

和findOne效果同樣，返回第一條數據

{'_id': ObjectId('5ca7a4b0219efd687462f965'), 'id': 1.0, 'name': 'jack', 'age': 73.0}

 

 是一個字典能夠取

import pymongo

# 生成pymongo對象,傳入鏈接服務器相關參數 ip 端口
mongo_client = pymongo.MongoClient(
    host='192.168.0.112',
    port=27017,
    username="admin",
    password="123456"
)

# 選擇鏈接的數據庫
mongo_db = mongo_client["db1"]
# 查詢
res = mongo_db.user.find_one()
print(res.get("_id"))

# 5ca7a4b0219efd687462f965

 

循環對象，循環比加list好，由於res是生成器，效率高

import pymongo

mongo_client = pymongo.MongoClient(
    host='192.168.0.112',
    port=27017,
    username="admin",
    password="123456"
)

mongo_db = mongo_client["db1"]
# 查詢
res = mongo_db.user.find()
print(res)

for i in res:
    print(i)

是一個生成器，

<pymongo.cursor.Cursor object at 0x0000000002EC2DA0>

 

{'_id': ObjectId('5ca7a4b0219efd687462f965'), 'id': 1.0, 'name': 'jack', 'age': 73.0}
{'_id': ObjectId('5ca7a4b7219efd687462f966'), 'id': 2.0, 'name': 'mike', 'age': 84.0, 'gender': '男'}
{'_id': ObjectId('5ca7a4c4219efd687462f967'), 'id': 3.0, 'name': 'peter', 'age': 21.0}
{'_id': ObjectId('5ca7a4c4219efd687462f968'), 'id': 4.0, 'name': 'xiaogang', 'age': 34.0, 'hobby': ['籃球']}
{'_id': ObjectId('5ca7a4c4219efd687462f969'), 'id': 5.0, 'name': 'ben', 'age': 24.0}
{'_id': ObjectId('5ca7a505219efd687462f96a'), 'id': 6.0, 'name': 'Mary', 'age': 84.0, 'gender': '男'}

 

 

條件查詢

import pymongo

mongo_client = pymongo.MongoClient(
    host='192.168.0.112',
    port=27017,
    username="admin",
    password="123456"
)

mongo_db = mongo_client["db1"]
# 條件查詢
res = mongo_db.user.find_one({"age":34})
print(res)

# {'_id': ObjectId('5ca7a4c4219efd687462f968'), 'id': 4.0, 'name': 'xiaogang', 'age': 34.0, 'hobby': ['籃球']}