Sunday Blog

人生是一场刻意练习

Kubernetes EFK日志收集

Kubernetes Es Logging

上传镜像（可选） export tag=7.17.3 images=( docker.elastic.co/elasticsearch/elasticsearch:${tag} docker.elastic.co/kibana/kibana:${tag} docker.elastic.co/beats/filebeat:${tag} ) # 上传至harhar export https_proxy="192.168.10.250:7890" # 代理 for image in ${images[@]}; do skopeo copy docker://${image} docker://registry.sundayhk.com/elastic/${image#*/}; done 部署Elasticsearch helm及添加storageC

Posted by BlueFat on Wednesday, November 23, 2022

RocketMQ deleteSubscriptionGroup 不删除 consumer offset 解决

Rocketmq Delete Consumer Group

https://github.com/apache/rocketmq/issues/3660 使用下面命令，删除订阅组成功但在rocketmq-dashboard 还能看到订阅组信息，只不过会显示1970-01-01 08:00:00，

Posted by BlueFat on Tuesday, November 22, 2022

SSH 一次执行多个命令

Ssh Multiple Commands

分号 ssh User@Host 'source /etc/profile; date' 写EOF ssh User@Host /bin/bash << EOF date ls -la uptime EOF 使用脚本 echo 'date' > 1.sh ssh User@Host bash -s < 1.sh

Posted by BlueFat on Monday, November 21, 2022

Kubernetes Note

Kubernetes Note

微服务的容器服务都应该使用 StatefulSet 而不是 Deployment 使用 preStop 和 readinessProbe 保证服务平滑更新不中断 通常对于常规分布式微服务业务系统来说，StatefulSet 的顺序性保证

Posted by BlueFat on Wednesday, November 16, 2022

Kubernetes 常用命令

Kubernetes Command

# 缩容 kubectl scale -n kube-system deployment coredns --replicas=1 # 设置污点 kubectl taint node master node-role.kubernetes.io/master="":NoSchedule # 取消污点 kubectl taint node master1 node-role.kubernetes.io/master- deployment daemonset 回滚 kubectl rollout history daemonset -n kube-system fluentd-elasticsearch kubectl rollout undo --to-revision=1 daemonset -n kube-system fluentd-elasticsearch

Posted by BlueFat on Wednesday, November 16, 2022

Python多线程join( )使用

python Multithreading Join

Python多线程与多进程中join()方法的效果是相同的。 join()：在子线程完成运行之前，这个子线程的父线程将一直被阻塞。 Daemon

Posted by BlueFat on Saturday, September 3, 2022

Python中的描述器、反射

Python Descriptor

描述器 什么是描述器？ 一个类中定义了如下一个或多个魔术方法，这个类的实例就是描述器： __get__，__set__，__delete__ 通常需

Posted by BlueFat on Saturday, August 27, 2022

Python 装饰式和偏函数

Python Decorator and Partial

装饰器 要讲清楚装饰器，首先要知道一些前置概念。下文涉及到这些概念的地方，会展开讲述。 什么是装饰器？ 装饰器是一种AOP（面向切面编程）的设计模

Posted by BlueFat on Saturday, August 27, 2022

Python 装饰器

Python Decorator

无参装饰器 import datetime import time import functools def logger(fn): @functools.wraps(fn) #wrap解决文档、名称问题 def wrapper(*args,**kwargs): """+++Wrapper Function+++""" start=datetime.datetime.now() ret = fn(*args,**kwargs) #add delta=(datetime.datetime.now()-start).total_seconds() print(fn.__name__,delta) return ret return wrapper @logger # add=logger(add) === add=wrapper def add(x,y): """Add Function""" time.sleep(1) return x+y print(add(4,5)) print(add.__name__,add.__doc__) add 1.004984 9 add Add Function 带参装饰器

Posted by BlueFat on Saturday, August 20, 2022

Python shutil模块

Python Shutil

文件拷贝:使用打开2个文件对象，源文件读取内容,写入目标文件中来完成拷贝过程。但是这样丢失stat数据信息、权限等) Python提供了一个方

Posted by BlueFat on Friday, August 19, 2022

正则表达式

Regex

基本语法 代码 说明 . 匹配除换行符外任意一个字符 [abc] 字符集合,匹配集合中包含的任意一个字符 [^abc] 字符集合,匹配非集合内的任意一个字符 [a-z] 字符集合范围,匹

Posted by BlueFat on Thursday, August 18, 2022

Python Path 路径

Python Path

os.path from os import path # 拼接路径 p=path.join('/etc','sysconfig','network') # 路径是否存在 print(path.exists(p)) # 分割 (元组: dirname和basename) print(path.split(p)) # 路径和基名 print(path.dirname(p),path.basename(p)) # 当前路径 print(path.abspath(""),path.abspath('.')) # windows print(path.splitdrive('o:/tmp/test')) #windows 文件根目录 p1=path.abspath(__file__) #父文

Posted by BlueFat on Thursday, August 18, 2022

Python列表解析式和lambda

List Comprehensions And Lambda

列表解析式 [ ] >>> print([i for i in range(10)]) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> print([i for i in range(10) if i%2]) [1, 3, 5, 7, 9] >>> print([i for i in range(10) if i%2 == 1]) [1, 3, 5, 7, 9] >>> print([i for i in range(1,10,2)]) [1, 3, 5, 7, 9] >>> print([i for i in range(20) if i%2==0

Posted by BlueFat on Sunday, August 14, 2022

Python dict 字典

Python Dict

Dict即Dictionary,也称为mapping. Python中，字典由任意个元素构成的集合，每-个元素称为Item, 也称为Entry。

Posted by BlueFat on Sunday, August 14, 2022

Python 阶乘

Factorial

0!=1 1!=1 2!=1*2 3!=1*2*3 4!=1*2*3*4 ... for def factorial(n): p=1 for i in range(1,n): p*=i return p print(factorial(5)) 120 for递归 def factorial(n,p=1): if n==1: return p p*=n return factorial(n-1,p) print(factorial(6)) 720 def factorial(n,p=1): return p if n<2 else factorial(n-1,p*n) print(factorial(5)) 公式法 def factorial(n): if n< 2: return n return n*factorial(n-1) print(factorial(5)) 120

Posted by BlueFat on Sunday, August 14, 2022

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