自定义方便kubectl中pods的管理

runzhliu

发布于 2020-08-06 09:46:33

6510

发布于 2020-08-06 09:46:33

1 Overview

我猜很多接触 K8S 的同学应该都是运维的同学为主，一般上来说，运维的同学写 Shell 显然是比 Java 程序员专业的，但是当大数据遇到 K8S 的时候，搞大数据的同学还在每条 kubectl 去操作实在是太浪费时间了。在我学习的过程中，我会创建很多临时的 Pods，测试完其实这些 Pods 就没用了，或者说 Status 是 Error 或者 Complete 的 Pods 已经不是我学习的对象，想删掉，所以 kubectl get pods 的时候想显示少一点。简单的办法就是用 Alias 来封装一下各种状态的显示。

2 Examples

以下是我利用 grep 和 awk 封装的两个 alias，可以参考一下。

alias getComplete="kubectl get pods | grep Completed | awk  -F ' '  '{print $1}'"
alias getError="kubectl get pods | grep Error | awk  -F ' '  '{print $1}'"

grep 和 awk 不熟悉的同学请千万不要去百度谷歌，因为这样会造成依赖，每次一用就去搜，用完过几天就忘，我的建议是直接看命令的手册，这里举个 awk 中 -F 的例子。

awk

NAME
       awk - pattern-directed scanning and processing language

请注意 awk 的用法

SYNOPSIS
       awk [ -F fs ] [ -v var=value ] [ 'prog' | -f progfile ] [ file ...  ]

请注意看手册，这里的 -F 的作用是什么，就是做分隔符，并且支持正则表达式

DESCRIPTION
       Awk  scans  each  input  file  for lines that match any of a set of patterns specified literally in prog or in one or more files
       specified as -f progfile.  With each pattern there can be an associated action that will be performed when  a  line  of  a  file
       matches  the pattern.  Each line is matched against the pattern portion of every pattern-action statement; the associated action
       is performed for each matched pattern.  The file name - means the standard input.  Any file of the form var=value is treated  as
       an  assignment, not a filename, and is executed at the time it would have been opened if it were a filename.  The option -v fol-
       lowed by var=value is an assignment to be done before prog is executed; any number of -v options may  be  present.   The  -F  fs
       option defines the input field separator to be the regular expression fs.

有了这两个 alias 之后，我们就可以把他加到 .bash_profile 中，以后调用的时候就只要这个 alias 就好了。

➜  ~ getError
spark-pi-37d1f76b946d7c0f-driver
➜  ~ getComplete
group-by-test-1560763907118-driver
hdfs-test-driver
spark-driver-2.3
spark-hdfs-1561689711995-driver
spark-hdfs-1561689794687-driver
spark-hdfs-1561689834591-driver
spark-hdfs-1561689875798-driver
spark-hdfs-1561690011058-driver
spark-hdfs-1561690211210-driver
spark-hdfs-1561691706756-driver
spark-hdfs-1561700636764-driver
spark-pi-064dbc6e21463c7cb72a82f8b9d0c1ab-driver
spark-pi-1e4bae6b95fe78d9-driver
spark-pi-driver

然后比如说你想删除这些你不需要再研究的某种状态的 Pods。

➜  ~ getError | xargs kubectl delete pods
pod "spark-pi-37d1f76b946d7c0f-driver" deleted
➜  ~ getComplete | xargs kubectl delete pods
pod "group-by-test-1560763907118-driver" deleted
pod "hdfs-test-driver" deleted
pod "spark-driver-2.3" deleted
pod "spark-hdfs-1561689711995-driver" deleted
pod "spark-hdfs-1561689794687-driver" deleted
pod "spark-hdfs-1561689834591-driver" deleted
pod "spark-hdfs-1561689875798-driver" deleted
pod "spark-hdfs-1561690011058-driver" deleted
pod "spark-hdfs-1561690211210-driver" deleted
pod "spark-hdfs-1561691706756-driver" deleted
pod "spark-hdfs-1561700636764-driver" deleted
pod "spark-pi-064dbc6e21463c7cb72a82f8b9d0c1ab-driver" deleted
pod "spark-pi-1e4bae6b95fe78d9-driver" deleted
pod "spark-pi-driver" deleted