Python程式設計:mongodb的基本增刪改查操作
阿新 • • 發佈:2018-12-24
第一步當然是配置環境,啟動資料庫服務
引入模組
# -*- coding: utf-8 -*-
# @File : pymongo_demo.py
# @Date : 2018-06-02
# @Author : Peng Shiyu
import pymongo
1、建立MongoDB的連線物件
# client = pymongo.MongoClient(host="localhost", port=27017)
client = pymongo.MongoClient('mongodb://localhost:27017/')
2、指定資料庫
# db = client["mydemo"]
db = client.mydemo
3、指定集合Collection物件
# collection = db["students"]
collection = db.students
4、插入資料
# 一條資料
student = {
'id': '20170101',
'name': '小明',
'age': 22,
'gender': '男性'
}
# result = collection.insert(student)
result = collection.insert_one(student)
print(result) # <pymongo.results.InsertOneResult object at 0x1034e08c8>
print(result.inserted_id) # 5b1205b2d7696c4230dd9456
# 多條資料
student1 = {
'id': '20170101',
'name': 'Jordan',
'age': 20,
'gender': 'male'
}
student2 = {
'id': '20170202',
'name': 'Mike',
'age': 21,
'gender': 'male'
}
#
# # result = collection.insert([student1, student2])
result = collection.insert_many([student1, student2])
print(result) # <pymongo.results.InsertManyResult object at 0x1034e0748>
print(result.inserted_ids)
# # [ObjectId('5b1205b2d7696c4230dd9457'), ObjectId('5b1205b2d7696c4230dd9458')]
5、查詢資料庫
# 查詢一條資料
result = collection.find_one({"name": "Mike"})
print(type(result)) # <class 'dict'>
print(result)
# {'_id': ObjectId('5b1204a3d7696c41c083d21e'),
# 'id': '20170202', 'name': 'Mike', 'age': 21, 'gender': 'male'}
# 通過_id屬性來查詢, 不存在則返回None
from bson.objectid import ObjectId
result = collection.find_one({'_id': ObjectId('5b1204a3d7696c41c083d21e')})
print(result)
# {'_id': ObjectId('5b1204a3d7696c41c083d21e'),
# 'id': '20170202', 'name': 'Mike', 'age': 21, 'gender': 'male'}
# 查詢多條資料, 返回一個生成器
results = collection.find({"age": 21})
print(results) # <pymongo.cursor.Cursor object at 0x10133f160>
for result in results:
print(result)
# {'_id': ObjectId('5b12055fd7696c4208deb74a'),
# 'id': '20170202', 'name': 'Mike', 'age': 21, 'gender': 'male'}
# 條件查詢
results = collection.find({"age": {"$gt": 20}})
for result in results:
print(result)
# {'_id': ObjectId('5b1209ccd7696c437c51d5bb'),
# 'id': '20170101', 'name': '小明', 'age': 22, 'gender': '男性'}
# {'_id': ObjectId('5b1209ccd7696c437c51d5bd'),
# 'id': '20170202', 'name': 'Mike', 'age': 21, 'gender': 'male'}
# 正則匹配查詢
results = collection.find({"name": {"$regex": "^M.*"}})
for result in results:
print(result)
# {'_id': ObjectId('5b1209ccd7696c437c51d5bd'),
# 'id': '20170202', 'name': 'Mike', 'age': 21, 'gender': 'male'}
比較符號
符號 | 表示 | 含義 | 示例 |
---|---|---|---|
: | = | 等於 | {“age”: 20} |
$lt | < | 小於 | {“age”: {“$lt”: 20}} |
$gt | > | 大於 | {“age”: {“$gt”: 20}} |
$lte | <= | 小於等於 | {“age”: {“$lte”: 20}} |
$gte | >= | 大於等於 | {“age”: {“$gte”: 20}} |
$ne | != | 不等於 | {“age”: {“$ne”: 20}} |
$in | in | 範圍內 | {“age”: {“$in”: [20, 30]}} |
$nin | not in | 不在範圍內 | {“age”: {“$nin”: [20, 30]}} |
說明:
lt: less than
gt: great than
e: equal
功能符號
符號 | 含義 | 示例 | 示例說明 |
---|---|---|---|
$regex | 匹配正則表示式 | {“name”: {“$regex”: “^M.*”}} | name以M開頭 |
$exists | 屬性是否存在 | {“name”: {“$exists”: True}} | name屬性存在 |
$type | 型別判斷 | {“age”: {“$type”: “int”}} | age的型別為int |
$mod | 數字模操作 | {“age”: {“$mod”: [5, 0]}} | 年齡模5餘0 |
$text | 文字查詢 | {“text”: {“$search”: “Mike”}} | text型別的屬性中包含字串Mike |
$where | 高階條件查詢 | {“name”: {“$where”: “obj.age==obj.count”}} | 自身年齡等於自身數量 |
6、查詢計數
count = collection.find().count()
print(count) # 3
7、資料排序
# 升序pymongo.ASCENDING 降序pymongo.DESCENDING
results = collection.find().sort("name", pymongo.ASCENDING)
print([result["name"] for result in results])
# ['Jordan', 'Mike', '小明']
8、資料的偏移
results = collection.find().sort('name', pymongo.ASCENDING).skip(2)
print([result['name'] for result in results])
# ['小明']
results = collection.find().sort('name', pymongo.ASCENDING).skip(1).limit(1)
print([result['name'] for result in results])
# ['Mike']
# 資料庫數量非常龐大的時候,不要使用大的偏移量
from bson.objectid import ObjectId
results = collection.find({'_id': {'$gt': ObjectId('5b1209ccd7696c437c51d5bb')}})
print([result['name'] for result in results])
9、更新資料庫
condition = {'name': 'Mike'}
student = collection.find_one(condition)
student['age'] = 25
# 全部用student字典替換
# result = collection.update(condition, student)
# 只更新student字典記憶體在的欄位
result = collection.update(condition, {'$set': student})
print(result)
# {'n': 1, 'nModified': 1, 'ok': 1.0, 'updatedExisting': True}
condition = {'name': 'Mike'}
student = collection.find_one(condition)
student['age'] = 26
result = collection.update_one(condition, {'$set': student})
print(result)
# <pymongo.results.UpdateResult object at 0x1034de708>
print(result.matched_count, result.modified_count)
# 1 1
condition = {'age': {'$gt': 20}}
result = collection.update_one(condition, {'$inc': {'age': 1}})
print(result)
# <pymongo.results.UpdateResult object at 0x1034e8588>
print(result.matched_count, result.modified_count)
# 1 1
10、資料刪除
result = collection.remove({'name': 'Jordan'})
print(result)
# 刪除一條
result = collection.delete_one({'name': 'Kevin'})
print(result)
print(result.deleted_count)
result = collection.delete_many({'age': {'$lt': 25}})
print(result.deleted_count)
# 刪除多條
result = collection.delete_many({'name': 'Kevin'})