Home Backend Development Python Tutorial 举例简单讲解Python中的数据存储模块shelve的用法

举例简单讲解Python中的数据存储模块shelve的用法

Jun 10, 2016 pm 03:05 PM
python

shelve类似于一个key-value数据库,可以很方便的用来保存Python的内存对象,其内部使用pickle来序列化数据,简单来说,使用者可以将一个列表、字典、或者用户自定义的类实例保存到shelve中,下次需要用的时候直接取出来,就是一个Python内存对象,不需要像传统数据库一样,先取出数据,然后用这些数据重新构造一遍所需要的对象。下面是简单示例:

import shelve


def test_shelve():
  # open 返回一个Shelf类的实例
  #
  # 参数flag的取值范围:
  # 'r':只读打开
  # 'w':读写访问
  # 'c':读写访问,如果不存在则创建
  # 'n':读写访问,总是创建新的、空的数据库文件
  #
  # protocol:与pickle库一致
  # writeback:为True时,当数据发生变化会回写,不过会导致内存开销比较大
  d = shelve.open('shelve.db', flag='c', protocol=2, writeback=False)
  assert isinstance(d, shelve.Shelf)

  # 在数据库中插入一条记录
  d['abc'] = {'name': ['a', 'b']}
  d.sync()

  print d['abc']

  # writeback是False,因此对value进行修改是不起作用的
  d['abc']['x'] = 'x'
  print d['abc'] # 还是打印 {'name': ['a', 'b']}

  # 当然,直接替换key的value还是起作用的
  d['abc'] = 'xxx'
  print d['abc']

  # 还原abc的内容,为下面的测试代码做准备
  d['abc'] = {'name': ['a', 'b']}
  d.close()

  # writeback 为 True 时,对字段内容的修改会writeback到数据库中。
  d = shelve.open('shelve.db', writeback=True)

  # 上面我们已经保存了abc的内容为{'name': ['a', 'b']},打印一下看看对不对
  print d['abc']

  # 修改abc的value的部分内容
  d['abc']['xx'] = 'xxx'
  print d['abc']
  d.close()

  # 重新打开数据库,看看abc的内容是否正确writeback
  d = shelve.open('shelve.db')
  print d['abc']
  d.close()

Copy after login

这个有一个潜在的小问题,如下:

>>> import shelve 
>>> s = shelve.open('test.dat') 
>>> s['x'] = ['a', 'b', 'c'] 
>>> s['x'].append('d') 
>>> s['x'] 
['a', 'b', 'c'] 
Copy after login

存储的d到哪里去了呢?其实很简单,d没有写回,你把['a', 'b', 'c']存到了x,当你再次读取s['x']的时候,s['x']只是一个拷贝,而你没有将拷贝写回,所以当你再次读取s['x']的时候,它又从源中读取了一个拷贝,所以,你新修改的内容并不会出现在拷贝中,解决的办法就是,第一个是利用一个缓存的变量,如下所示

>>> temp = s['x'] 
>>> temp.append('d') 
>>> s['x'] = temp 
>>> s['x'] 
['a', 'b', 'c', 'd'] 
Copy after login

在python2.4以后有了另外的方法,就是把open方法的writeback参数的值赋为True,这样的话,你open后所有的内容都将在cache中,当你close的时候,将全部一次性写到硬盘里面。如果数据量不是很大的时候,建议这么做。

下面是一个基于shelve的简单数据库的代码

#database.py 
import sys, shelve 
 
def store_person(db): 
  """ 
  Query user for data and store it in the shelf object 
  """ 
  pid = raw_input('Enter unique ID number: ') 
  person = {} 
  person['name'] = raw_input('Enter name: ') 
  person['age'] = raw_input('Enter age: ') 
  person['phone'] = raw_input('Enter phone number: ') 
  db[pid] = person 
 
def lookup_person(db): 
  """ 
  Query user for ID and desired field, and fetch the corresponding data from 
  the shelf object 
  """ 
  pid = raw_input('Enter ID number: ') 
  field = raw_input('What would you like to know? (name, age, phone) ') 
  field = field.strip().lower() 
  print field.capitalize() + ':', \ 
    db[pid][field] 
 
def print_help(): 
  print 'The available commons are: ' 
  print 'store :Stores information about a person' 
  print 'lookup :Looks up a person from ID number' 
  print 'quit  :Save changes and exit' 
  print '?   :Print this message' 
 
def enter_command(): 
  cmd = raw_input('Enter command (? for help): ') 
  cmd = cmd.strip().lower() 
  return cmd 
 
def main(): 
  database = shelve.open('database.dat') 
  try:  
    while True: 
      cmd = enter_command() 
      if cmd == 'store': 
        store_person(database) 
      elif cmd == 'lookup': 
        lookup_person(database) 
      elif cmd == '?': 
        print_help() 
      elif cmd == 'quit': 
        return  
  finally: 
    database.close() 
if __name__ == '__main__': main() 
Copy after login

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Can vs code run in Windows 8 Can vs code run in Windows 8 Apr 15, 2025 pm 07:24 PM

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

Is the vscode extension malicious? Is the vscode extension malicious? Apr 15, 2025 pm 07:57 PM

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

See all articles