2024年最新docker-compse安装es(包括IK分词器扩展)、kibana、libreoffice，大数据开发studio基础教程

本文链接：https://blog.youkuaiyun.com/2401_84591984/article/details/138471925

既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上大数据知识点，真正体系化！

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

Release v6.4.3 · infinilabs/analysis-ik · GitHub

1.3 kibana下载

Kibana 官方网址：https://www.elastic.co/cn/products/kibana
Kibana 官方下载地址：https://www.elastic.co/cn/downloads/kibana
官方 docker 镜像地址：https://www.docker.elastic.co/

1.4 libreOffice下载（预览pdf）

Index of /libreoffice/old

单机版：

compose-prq-es.yml文件

本章以

elasticsearch:7.9.0、

kibana:7.9.0、 (es界面）

elasticsearch-analysis-ik-7.9.0.zip （分词器）

libreoffice/online:latest为例 (pdf预览)

注意kibana的版本要和es一致

# yaml 配置
version: '3'
services:
  elasticsearch:
    image: "elasticsearch:7.9.0"
    container_name: "elasticsearch"
    restart: always
    privileged: true
    environment:
      - "discovery.type=single-node" # 单机模式
      - "ES_JAVA_OPTS=-Xms512m -Xmx1024m"  #表示elasticsearch的内存占用大小从512mb~1024mb
        #      - bootstrap.memory_lock=true
    volumes:
      - "/home/docker/volumes/prq_data/_data/elasticsearch_data/plugins:/usr/share/elasticsearch/plugins"
      - "/home/docker/volumes/prq_data/_data/elasticsearch_data/data:/usr/share/elasticsearch/data"
      - "/home/docker/volumes/prq_data/_data/elasticsearch_data/logs:/usr/share/elasticsearch/logs"
      - "/etc/localtime:/etc/localtime"
      - "/etc/timezone:/etc/timezone"
    ports:
      - 9200:9200
      - 9300:9300

  kibana:
    image: "kibana:7.9.0"
    container_name: "kibana"
    restart: always
    depends_on:
      - elasticsearch
    environment:
      ELASTICSEARCH_HOSTS: http://10.194.17.106:9200
      I18N_LOCALE: zh-CN
    ports:
      - 5601:5601

  libreoffice:
    image: "libreoffice/online:latest"
    container_name: "libreoffice"
    ports:
      - "9980:9980"
    restart: always
    privileged: true
    volumes:
      - "/etc/localtime:/etc/localtime"
      - "/etc/timezone:/etc/timezone"
      - "/home/docker/volumes/prq_data/_data/libreoffice_data/loolwsd.xml:/etc/loolwsd/loolwsd.xml"
    environment:
      - domian=domain.com
      - username=admin
      - password=123456
    cap_add:
      - MKNOD

install.sh脚本

#!/bin/bash

echo "current shell execute direcoty:`pwd`"
updatedb
path=`dirname $variable_path`
echo "swich direcoty to prq shell directory:${path}"
cd ${path}
pwd


image_home="./images"
image_kibana="kibana-7.9.0.tar.gz"
image_libreoffice="libreoffice-online.tar.gz"
image_es="elasticsearch-7.9.0.tar.gz"

# prq文件映射路径 prq_data_path
prq_data_path="/home/docker/volumes/prq_data/_data"



echo "Loading docker images ..."
docker load -i ${image_home}/${image_es}
docker load -i ${image_home}/${image_libreoffice}
docker load -i ${image_home}/${image_kibana}

echo "Creating volumes ..."
docker volume create prq_data


echo "preparing for envrionment ..."

mkdir -vp ${prq_data_path}/elasticsearch_data/plugins/ik ${prq_data_path}/elasticsearch_data/data ${prq_data_path}/elasticsearch_data/logs ${prq_data_path}/elasticsearch_data/config

cp ${image_home}/elasticsearch-analysis-ik-7.9.0.zip  ${prq_data_path}/elasticsearch_data/plugins/ik

cd ${prq_data_path}/elasticsearch_data/plugins/ik

unzip elasticsearch-analysis-ik-7.9.0.zip
cd ${path}
mkdir -vp ${prq_data_path}/libreoffice_data/
chmod -R 777 ${prq_data_path}/libreoffice_data




echo ">>> copy config file to destination location start <<<"


cp conf/loolwsd.xml ${prq_data_path}/libreoffice_data/

echo ">>> config file copy finished <<<"

echo "grant permisssion ..."
chmod 777 -R ${prq_data_path}

sysctl vm.overcommit_memory=1

echo "=============Starting containers...========== "

echo "=============creating other containers ...==================="


![img](https://img-blog.csdnimg.cn/img_convert/a778507c9537c3db48a1c668235ad10a.png)
![img](https://img-blog.csdnimg.cn/img_convert/b7ec9589385f83e0ea3cee50eb8f1b9e.png)
![img](https://img-blog.csdnimg.cn/img_convert/cfb8af135f00e54f8ca0f7747e7b1f91.png)

**既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上大数据知识点，真正体系化！**

**由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新**

**[需要这份系统化资料的朋友，可以戳这里获取](https://bbs.youkuaiyun.com/topics/618545628)**

以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上大数据知识点，真正体系化！**

**由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新**

**[需要这份系统化资料的朋友，可以戳这里获取](https://bbs.youkuaiyun.com/topics/618545628)**