其实对python熟悉的人都可以自己用paramiko来写任务的分发系统,再结合gevent的协程就能实现异步的处理。
如果只想用工具的朋友可以使用一些工具,类似{puppet,saltstack,fabric,ansible,chef}等,其实这些工具的都是很好用的,不过于学习的成本,我建议大家使用ansible,这个模块封装的不错,功能也很齐全。
我们首先先安装ansible把
代码如下:
pip install ansible #其实我建议大家用ubuntu的系统,ubuntu的系统对开源的东西都支持的很好,而且apt的功能要比yum强不少。
代码如下:
mkdir -p /etc/ansible/ #给ansible创建一个配置文件的目录
more hosts [Web] 192.168.6.210:22 ansible_ssh_user=root ansible_ssh_pass=123 [Dubbo+Zookeeper] 192.168.6.212:22 ansible_ssh_user=root ansible_ssh_pass=123 [Mysql] 192.168.6.213:22 ansible_ssh_user=root ansible_ssh_pass=123
如果你的机器没有做无密码访问,那么就在后面加上密码吧,如果你的SSH端口做过改动,那么请在IP后面加上端口号。如果有报错的话,你先安装一下apt-get install sshpass
做完上面这些准备工作,我们的ansible就可以运行了
ansible Boss+Merchant+Web -m shell -a "hostname;ip a" 这里的Boss+Merchant+Web是我在hosts文件中定义的主机组 -m后面是接的模块 -a 就、后面是索要执行的命令 192.168.6.210 | success | rc=0 >> Pay-Boss+Merchant+Web 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast qlen 1000 link/ether 00:0c:29:96:06:4e brd ff:ff:ff:ff:ff:ff inet 192.168.6.210/24 brd 192.168.6.255 scope global eth0
模块的信息可以从官网的教程下仔细查看,反正我一般都用shell。。。
现在来玩玩playbook,其实就是把命令保存到文件中,再执行,也就是一回事,不必非要用这个东西,我们自己也能写代码来封装这些命令
mkdir -p /etc/ansible/playbooks touch boss.yml more boss.yml - hosts : Boss+Merchant+Web hosts 文件中的主机组 remote_user : root tasks : - name : update_boss 任务代号 shell : source /etc/profile;whoami;uptime;cat /etc/issue 模块+命令 # shell : echo "xxxxxxxxxxxxxxxxx"
执行
ansible-playbook boss.yml __________________________ < PLAY [Boss+Merchant+Web] > -------------------------- \ ^__^ \ (oo)\_______ (__)\ )\/\ ||----w | || || _________________ < GATHERING FACTS > ----------------- \ ^__^ \ (oo)\_______ (__)\ )\/\ ||----w | || || ok: [192.168.6.210] ___________________ < TASK: update_boss > ------------------- \ ^__^ \ (oo)\_______ (__)\ )\/\ ||----w | || || changed: [192.168.6.210] ____________ < PLAY RECAP > ------------ \ ^__^ \ (oo)\_______ (__)\ )\/\ ||----w | || || 192.168.6.210 : ok=2 changed=1 unreachable=0 failed=0
这个是结果,不过这个 cowsay是怎么打印出来的,我了个去,这是什么情况?
利用-vvvv来查看具体的执行情况
ansible Boss+Merchant+Web -m shell -a "hostname;ip a" -vvvv <192.168.6.210> ESTABLISH CONNECTION FOR USER: root <192.168.6.210> REMOTE_MODULE command hostname;ip a #USE_SHELL <192.168.6.210> EXEC sshpass -d6 ssh -C -tt -vvv -o ControlMaster=auto -o ControlPersist=60s -o ControlPath="/root/.ansible/cp/ansible-ssh-%h-%p-%r" -o GSSAPIAuthentication=no -o PubkeyAuthentication=no -o ConnectTimeout=10 192.168.6.210 /bin/sh -c 'mkdir -p $HOME/.ansible/tmp/ansible-tmp-1435819148.95-1730630738440 && echo $HOME/.ansible/tmp/ansible-tmp-1435819148.95-1730630738440' <192.168.6.210> PUT /tmp/tmpRfkD3R TO /root/.ansible/tmp/ansible-tmp-1435819148.95-1730630738440/command <192.168.6.210> EXEC sshpass -d6 ssh -C -tt -vvv -o ControlMaster=auto -o ControlPersist=60s -o ControlPath="/root/.ansible/cp/ansible-ssh-%h-%p-%r" -o GSSAPIAuthentication=no -o PubkeyAuthentication=no -o ConnectTimeout=10 192.168.6.210 /bin/sh -c 'LANG=en_US.UTF-8 LC_CTYPE=en_US.UTF-8 /usr/bin/python /root/.ansible/tmp/ansible-tmp-1435819148.95-1730630738440/command; rm -rf /root/.ansible/tmp/ansible-tmp-1435819148.95-1730630738440/ >/dev/null 2>&1' 192.168.6.210 | success | rc=0 >> Pay-Boss+Merchant+Web 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast qlen 1000 link/ether 00:0c:29:96:06:4e brd ff:ff:ff:ff:ff:ff inet 192.168.6.210/24 brd 192.168.6.255 scope global eth0
类似于debug。
以上所述就是本文的全部内容了,希望大家能够喜欢。

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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