ansible 批量按用户名创建kerberos主体,并分发到远程主机

可以批量生产票据并分发目标主机

TypeScript 复制代码
- name: Configure Kerberos for Hadoop Users
  hosts: hadoop_servers
  become: no
  gather_facts: no
  vars:
    kerberos_server: hadoop01.xuexi.com
    keytab_dir: /home/hadoop/hxy
    keytab_local_dir: ./keytabs
    principals:
      - hxy
      - stars

  tasks:

    - name: Ensure key directory exists
      ansible.builtin.file:
        path: "{
  
  { keytab_dir }}"
        state: directory
        mode: '0755'

    - name: Create Kerberos principals and generate keytab files
      block:
        - name: Create a Kerberos principal
          ansible.builtin.command: >
            kadmin.local -q "addprinc -randkey {
  
  { item }}/{
  
  { inventory_hostname }}@XUEXI.COM"
          register: addprinc_results
          delegate_to: "{
  
  { kerberos_server }}"
          ignore_errors: yes
          loop: "{
  
  { principals }}"

        - name: Set facts for successfully created principals
          set_fact:
            created_principals: "{
  
  { created_principals | default([]) + [item.item] }}"
          when: item.rc == 0
          loop: "{
  
  { addprinc_results.results }}"

        - name: Report failed principal creation attempts
          ansible.builtin.debug:
            msg: "Failed to create principal for {
  
  { item.item }}/{
  
  { inventory_hostname }}@XUEXI.ICOM: {
  
  { item.stderr }}"
          when: "'Principal already exists' not in item.stderr and item.rc != 0"
          loop: "{
  
  { addprinc_results.results }}"

        - name: Generate keytab file for each principal
          ansible.builtin.command: >
            kadmin.local -q "xst -k {
  
  { keytab_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab -norandkey {
  
  { item }}/{
  
  { inventory_hostname }}@XUEXI.COM"
          register: xst_results
          delegate_to: "{
  
  { kerberos_server }}"
          loop: "{
  
  { created_principals }}"

        - name: Fetch the keytab files to the control machine
          ansible.builtin.fetch:
            src: "{
  
  { keytab_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
            dest: "{
  
  { keytab_local_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
            flat: yes
          delegate_to: "{
  
  { kerberos_server }}"
          when: item is defined and (lookup('file', keytab_dir + '/' + item + '-' + inventory_hostname + '.keytab') is not none)
          loop: "{
  
  { created_principals }}"

    - name: Distribute keytab files to each target host
      ansible.builtin.copy:
        src: "{
  
  { keytab_local_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
        dest: "/data1/tmp/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
      when: item is defined and (lookup('file', keytab_local_dir + '/' + item + '-' + inventory_hostname + '.keytab') is not none)
      loop: "{
  
  { created_principals }}"
      delegate_to: "{
  
  { inventory_hostname }}"

    - name: Clean up keytab files on Kerberos server
      ansible.builtin.file:
        path: "{
  
  { keytab_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
        state: absent
      when: item is defined
      delegate_to: "{
  
  { kerberos_server }}"
      loop: "{
  
  { created_principals }}"

    - name: Clean up local keytab files on control machine
      ansible.builtin.file:
        path: "{
  
  { keytab_local_dir }}/{
  
  { item }}-{
  
  { inventory_hostname }}.keytab"
        state: absent
      when: item is defined
      loop: "{
  
  { created_principals }}"
      run_once: yes
相关推荐
苏生Susheng几秒前
【软件实施】Linux企业运维常用命令手册
java·linux·运维·服务器·springboot·springcloud·软件实施
! 冰封雪莲 !8 分钟前
执法监管能力提升VR学练考系统解决方案
大数据·vr·环保
切糕师学AI9 分钟前
如何查看已合并到 master 分支的所有分支?Git 分支清理指南
大数据·git·elasticsearch
FII工业富联科技服务12 分钟前
从 Vera Rubin NVL72 拆解高密度 AI 液冷:GPU 的热到底怎么被带走?
大数据·人工智能
西索斯coding13 分钟前
doubao-seed-2.1-turbo 调用一直 401 怎么办?pro 版同样的 Key 却正常——5 分钟排查定位指南
java·服务器·数据库·ai
suaizai_25 分钟前
从1210条报错到全自动修复:AI闭环运维实战
大数据·elasticsearch·搜索引擎
147API34 分钟前
蒸馏模型量化上线前,先查精度退化和算子兼容
大数据·人工智能·深度学习·机器学习·蒸馏
myy-learn1 小时前
31-TCP并发
服务器·网络·tcp/ip
橙时数据 FineInsight1 小时前
AI 能回答数据问题,但能解释业务原因吗?
大数据·人工智能·数据分析·指标平台·fineinsight
lolijiaqi151 小时前
一线观察:长期体验后发现的医疗器械 CDMO 底层现象
大数据·python