[{"_1":2,"_218":-5,"_219":-5},"loaderData",{"_3":4,"_13":14,"_16":17,"_214":215},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5},"username","routes/_layout.r.$namespace.$reponame",{"_18":19,"_20":-5,"_21":11,"_22":11,"_23":24,"_25":26,"_27":-5,"_28":11,"_29":30,"_81":-5,"_82":83,"_213":11},"canonicalUrl","https://hub.docker.com/r/foxiswho/elk/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","foxiswho","reponame","elk","cloudBuildSource","isAutobuildsAvailable","repo",{"_31":32,"_33":34,"_36":37,"_38":39,"_40":11,"_41":42,"_43":44,"_45":46,"_48":26,"_23":24,"_49":50,"_51":35,"_52":53,"_54":55,"_56":57,"_58":-5,"_59":60,"_61":62,"_63":11,"_64":24,"_65":66,"_71":72,"_73":74,"_78":24,"_79":80},"categories",[],"content_types",[35],"image","date_registered","2018-12-07T08:34:02.467323Z","description","elasticsearch logstash kibana","is_private","last_updated","2021-05-20T05:19:27.80674Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[47],"application/vnd.docker.container.image.v1+json","name","pull_count",12408,"repository_type","star_count",2,"status",1,"status_description","active","source","collaborator_count",0,"full_description","# 拉取docker 所需文件\n可以执行命令，也可以直接使用下载压缩包\n```shell\ngit clone https://github.com/foxiswho/docker-elk.git\n\ncd docker-elk\n```\n\n# elasticsearch logstash kibana\n\n官方DOCKER地址\n\nhttps://www.docker.elastic.co/\n\n\n使用说明，可以`配合`其他容器使用，也可以`独立使用`\n# 基本配置\n## 注意.端口\n\n在安装组件之前需要确保以下端口没有被占用:5601 (Kibana), 9200 (Elasticsearch), and 5044 (Logstash).\n\n同时需要确保内核参数 vm_max_map_count 至少设置为262144:\n```SHELL\nsudo sysctl -w vm.max_map_count=262144\n```\n\n## 先下载词库，如果你不需要词库请PASS\n\n>注意：词库 7.1.1 默认安装了，不需要安装了\n\nhttps://github.com/medcl/elasticsearch-analysis-ik/releases\n```SHELL\nwget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.1.1/elasticsearch-analysis-ik-7.1.1.zip\n```\n解压缩到 `elasticsearch/plugins`目录中，并将文件名改为`analysis-ik`\n\n配置 `analysis-ik/config` 目录下`IKAnalyzer.cfg.xml`文件\n```XML\n\n\n\n\tIK Analyzer 扩展配置\n\t\n\tmain.dic;extra_main.dic;\n\t \n\t\n\t\n\t\n\t\n\t\n\n```\n最后修改配置文件 `docker-xxxx.yml` 选择你的配置文件，把如下一行前面的`#`号删除\n```angular2html\n#- ./elasticsearch/plugins/analysis-ik:/usr/share/elasticsearch/plugins/analysis-ik\n```\n\n## logstash 配置\n`logstash/pipeline` 目录下有默认案例，请自行设置。\n\n真正执行的时候，请删除案例，否则报错\n\n## 容器内相关目录文件位置\n### elasticsearch 容器内目录，文件位置\n```bash\n#配置文件\n/usr/share/elasticsearch/config/elasticsearch.yml\n/usr/share/elasticsearch/config/synonyms.txt\n\n#词库配置文件\n/usr/share/elasticsearch/plugins/analysis-ik/config/IKAnalyzer.cfg.xml\n\n#日志目录\n/usr/share/elasticsearch/logs\n\n#数据目录\n/usr/share/elasticsearch/data\n```\n\n### logstash 容器内目录，文件位置\n```bash\n#配置文件\n/usr/share/logstash/config/logstash.yml\n#日志目录\n/usr/share/logstash/logs\n\n#多任务配置目录\n/usr/share/logstash/pipeline\n\n```\n\n### kibana 容器内目录，文件位置\n```bash\n#配置文件\n/usr/share/kibana/config/kibana.yml\n```\n\n## 对外目录映射权限\n\n建立数据存储目录,并目录设置 `777` 权限，否则启动不成功\n\n```YML\nchmod -R 777 ./elasticsearch/data\nchmod -R 777 ./elasticsearch/logs\nchmod -R 777 ./logstash/pipeline\nchmod -R 777 ./logstash/logs\n```\n\n\n# 独立使用 elasticsearch logstash kibana 容器\n```bash\ncd dc\n./start.sh\n```\n\n# 合作使用，配合其他容器\n\n例如：有个已经建立好的容器，他的网络是 `other`\n\n```bash\ndocker-compose up -f docker-compose-cooperation.yml\n```\n\n\n# 合作案例, 链接已经建立好的容器\n例如：有个已经建立好的容器组 [ https://github.com/foxiswho/docker-compose-nginx-php-mysql ]，\n它网络是 `swoole` (查看所有网络命令:`docker network ls`)，\n\n```bash\ndocker-compose up -f docker-compose-cooperation-swoole.yml\n```\n\n说明：主要在配置文件`docker-compose-cooperation-swoole.yml`中有以下参数\n```YML\n swoole:\n external: true\n```\n\n# 合作案例, 创建自定义网络 my-lnmp\n```SHELL\ndocker network create my-lnmp\n```\n## 创建容器 mariadb\n### 第一种\n接在创建容器时，直接加入网络`my-lnmp` (`--net=my-lnmp --net-alias mariadb`), 并设置该容器在网络内的别名是`mariadb`\n```SHELL\ndocker run --name mariadb -p 3306:3306 --net=my-lnmp --net-alias mariadb -e MYSQL_ROOT_PASSWORD=root -d mariadb:10.3.5\n```\n### 第二种\n对已经建立好的容器，加入到新的网络`my-lnmp`中\n```SHELL\ndocker network connect my-lnmp mariadb\n```\n\n\n断开网络\n```SHELL\ndocker network disconnect my-lnmp mariadb\n```\n\n## 如你使用的本案例 mariadb 容器\n那么请在 `docker-compose.yml` 文件中，按如下修改(去掉前面的#号)\n```yml\n# my-lnmp:\n# aliases:\n# - logstash\n```\n修改为：\n```YML\n my-lnmp:\n aliases:\n - logstash\n```\n\n## 导入测试数据库文件\n`example/test.sql`\n\n具体操作略\n\n## 给数据库创建用户和密码，并赋值全部权限\n用户名:`test`\n\n密码：`test_password`\n\n具体操作略\n\n## 最后在当前目录下\n`README.md` 同级目录执行\n```console\n$ docker-compose up -f docker-compose-my-lnmp.yml\n```\n根据拉取镜像的时间不同，创建的时间也不同。\n如果 logstash 这个容器启动不成功，可以先执行下一步，然后再执行\n```SHELL\ndocker start docker_elk_1\n```\n\n>docker_elk_1 是你建立`logstash`容器的名字\n\n## 镜像创建成功后执行\n新终端中，打开到本根目录执行\n```SHELL\nchmod -R +x logstash/sbin/*\n\nlogstash/sbin/goods_create.sh\n```\n\n## 浏览器查看\n```SHELL\nhttp://localhost:9200/goods/_doc/_search\n```\n\n# 其他 \n### mysql jar下载，（已经包含，无需下载）\n```HTML\nhttps://dev.mysql.com/get/Downloads/Connector-J/mysql-connector-java-5.1.45.tar.gz\n或\nhttps://cdn.mysql.com//Downloads/Connector-J/mysql-connector-java-5.1.45.tar.gz\n```\n下载并解压缩后，进入解压缩后目录把 `mysql-connector-java-5.1.45-bin.jar` 文件复制到`logstash/pipeline`目录下\n\n\n# A & Q\n\n如果 `mysql` 容器的网络是默认的 `bridge` (`docker network ls` 可以查看所有网络,`docker inspect xxxxx` 可以查看`xxxxx`容器的配置信息),无法使用 docker-compose 的 `networks` 把指定的容器，直接加入`xxxxx`容器的网络网桥中链接起来，必须 `extra_hosts`ip地址映射加入。\n```HTML\nhttp://yukinami.github.io/2017/03/24/Docker-compose%E4%BD%BF%E7%94%A8%E9%BB%98%E8%AE%A4%E7%9A%84bridge%E7%BD%91%E7%BB%9C/\n```\n\n如果 `mysql` 容器的网络是是自定义的网桥，那么可以通过容器的 `networks` 配置后直接访问\n\n\n\n# 其他\n原始容器来自 https://github.com/deviantony/docker-elk.git\n\n# Elastic stack (ELK) on Docker\n\n[![Join the chat at https://gitter.im/deviantony/docker-elk](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deviantony/docker-elk?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n[![Elastic Stack version](https://img.shields.io/badge/ELK-6.4.2-blue.svg?style=flat)](https://github.com/deviantony/docker-elk/issues/332)\n[![Build Status](https://api.travis-ci.org/deviantony/docker-elk.svg?branch=master)](https://travis-ci.org/deviantony/docker-elk)\n\nRun the latest version of the [Elastic stack](https://www.elastic.co/elk-stack) with Docker and Docker Compose.\n\nIt will give you the ability to analyze any data set by using the searching/aggregation capabilities of Elasticsearch\nand the visualization power of Kibana.\n\nBased on the official Docker images from Elastic:\n\n* [elasticsearch](https://github.com/elastic/elasticsearch-docker)\n* [logstash](https://github.com/elastic/logstash-docker)\n* 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