使用 start-local 脚本在本地运行 Elasticsearch

2024年11月29日   |   by mebius

警告请勿将这些说明用于生产部署

本页上的说明仅适用于本地开发。请勿将此配置用于生产部署,因为它不安全。请参阅部署选项以获取生产部署选项列表。

使用 start-local 脚本在 Docker 中快速设置 Elasticsearch 和 Kibana 以进行本地开发或测试。

此设置附带一个月的试用许可证,其中包括所有 Elastic 功能。试用期过后,许可证将恢复为免费和开放 – Basic。有关更多信息,请参阅 Elastic 订阅

更多阅读:Elasticsearch:如何在 Docker 上运行 Elasticsearch 8.x 进行本地开发

先决条件

  • 如果你尚未安装 Docker,请下载并安装适用于你的操作系统的Docker Desktop
  • 如果你使用的是 Microsoft Windows,请安装适用于 Linux 的 Windows 子系统 (WSL)

运行 start-local

start-local 脚本可以在地址进行下载 GitHub – elastic/start-local: Try Elasticsearch and Kibana locally。要在本地设置 Elasticsearch 和 Kibana,请运行 start-local 脚本。

curl -fsSL https://elastic.co/start-local | sh

此脚本创建一个 elastic-start-local 文件夹,其中包含:

  • docker-compose.yml:Elasticsearch 和 Kibana 的 Docker Compose 配置
  • .env:环境设置,包括 Elasticsearch 密码
  • start.sh 和 stop.sh:用于启动和停止 Elasticsearch 和 Kibana 的脚本
  • uninstall.sh:用于卸载 Elasticsearch 和 Kibana 的脚本
$ pwd
/Users/liuxg/data/start-local
$ curl -fsSL https://elastic.co/start-local | sh

  ______ _           _   _      
 |  ____| |         | | (_)     
 | |__  | | __ _ ___| |_ _  ___ 
 |  __| | |/ _` / __| __| |/ __|
 | |____| | (_| __  |_| | (__ 
 |______|_|__,_|___/__|_|___|
-------------------------------------------------
 Run Elasticsearch and Kibana for local testing
-------------------------------------------------

ℹ️  Do not use this script in a production environment

⌛️ Setting up Elasticsearch and Kibana v8.15.3...

- Generated random passwords
- Created the elastic-start-local folder containing the files:
  - .env, with settings
  - docker-compose.yml, for Docker services
  - start/stop/uninstall commands
- Running docker compose up --wait

[+] Running 24/24
 ✔ kibana 13 layers [⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿]      0B/0B      Pulled                                         62.0s 
   ✔ 23987c61699b Pull complete                                                                     5.6s 
   ✔ 8915ba981ca3 Pull complete                                                                     4.0s 
   ✔ 4c8b24782cfe Pull complete                                                                    33.1s 
   ✔ 807b2cadbcb1 Pull complete                                                                     5.3s 
   ✔ aea2eb4e3b10 Pull complete                                                                     9.4s 
   ✔ ab757075fe94 Pull complete                                                                     7.1s 
   ✔ 4ca545ee6d5d Pull complete                                                                     8.5s 
   ✔ 7e3665e2de31 Pull complete                                                                     9.8s 
   ✔ c3055b6e09f0 Pull complete                                                                    10.9s 
   ✔ ec8a64bd5a5f Pull complete                                                                    11.1s 
   ✔ dfd6d27a36fe Pull complete                                                                    12.5s 
   ✔ 17173b4bfc67 Pull complete                                                                    13.3s 
   ✔ 2b1cd59a6503 Pull complete                                                                    14.1s 
 ✔ kibana_settings 8 layers [⣿⣿⣿⣿⣿⣿⣿⣿]      0B/0B      Pulled                                      66.3s 
   ✔ 4253e52d2237 Pull complete                                                         tgcode           16.8s 
   ✔ e436db77a937 Pull complete                                                                    15.4s 
   ✔ 0f431d485a97 Pull complete                                                                    57.7s 
   ✔ 8673bfa492b1 Pull complete                                                                    18.4s 
   ✔ fab125f6f236 Pull complete                                                                    19.8s 
   ✔ 43ad26ccf7ea Pull complete                                                                    21.8s 
   ✔ fb6208a6757b Pull complete                                                                    23.1s 
   ✔ 500133bff266 Pull complete                                                                    24.9s 
 ✔ elasticsearch Pulled                                                                            66.3s 
[+] Building 0.0s (0/0)                                                             docker:desktop-linux
[+] Running 6/6
 ✔ Network elastic-start-local_default             Created                                          0.0s 
 ✔ Volume "elastic-start-local_dev-elasticsearch"  Created                                          0.0s 
 ✔ Volume "elastic-start-local_dev-kibana"         Cre...                                           0.0s 
 ✔ Container es-local-dev                          Healthy                                          2.1s 
 ✔ Container kibana_settings                       Exited                                           0.1s 
 ✔ Container kibana-local-dev                      Healthy                                          0.0s 

 Congrats, Elasticsearch and Kibana are installed and running in Docker!

 Open your browser at http://localhost:5601

   Username: elastic
   Password: wuRd1MYj

 Elasticsearch API endpoint: http://localhost:9200
 API key: MDBQWUpKTUJDMldQM2xRTVlqM1A6N2FyUE9WRVpSSFc4d25QNWZTYThMQQ==


Learn more at https://github.com/elastic/start-local

我们首先查看一下生成的文件:

$ pwd
/Users/liuxg/data/start-local
$ ls
elastic-start-local

它创建了一个叫做 elastic-start-local 的目录。我们进入该目录进行查看:

$ cd elastic-start-local/
$ ls -al
total 40
drwxr-xr-x  7 liuxg  staff   224 Nov 13 17:24 .
drwxr-xr-x  3 liuxg  staff    96 Nov 13 17:24 ..
-rw-r--r--  1 liuxg  staff   419 Nov 13 17:26 .env
-rw-r--r--  1 liuxg  staff  2434 Nov 13 17:24 docker-compose.yml
-rwxr-xr-x  1 liuxg  staff  1450 Nov 13 17:24 start.sh
-rwxr-xr-x  1 liuxg  staff   189 Nov 13 17:24 stop.sh
-rwxr-xr-x  1 liuxg  staff  1099 Nov 13 17:24 uninstall.sh

从上面,我们可以看到所生成的文件。我们来查看一下 .env 的文件:

.env

ES_LOCAL_VERSION=8.15.3
ES_LOCAL_CONTAINER_NAME=es-local-dev
ES_LOCAL_PASSWORD=wuRd1MYj
ES_LOCAL_URL=http://localhost:9200
ES_LOCAL_PORT=9200
ES_LOCAL_HEAP_INIT=128m
ES_LOCAL_HEAP_MAX=2g
KIBANA_LOCAL_CONTAINER_NAME=kibana-local-dev
KIBANA_LOCAL_PORT=5601
KIBANA_LOCAL_PASSWORD=N6IOHrSA
KIBANA_ENCRYPTION_KEY=V2Q2IKYiH5YgXgeXuokzBuuZ1wuB7ygE
ES_LOCAL_API_KEY=MDBQWUpKTUJDMldQM2xRTVlqM1A6N2FyUE9WRVpSSFc4d25QNWZTYThMQQ==

从上面的配置中,我们可以看出来,修改ES_LOCAL_VERSION 可以改变 Elasticsearch 及 Kibana 的版本。在上面,我们也可以看到它配置的密码 ES_LOCAL_PASSWORD。

我们使用如下的命令来进行查看:

$ docker ps
CONTAINER ID   IMAGE                                                  COMMAND                  CREATED         STATUS                   PORTS                                NAMES
4b50f85bddd3   docker.elastic.co/kibana/kibana:8.15.3                 "/bin/tini -- /usr/l…"   7 minutes ago   Up 7 minutes (healthy)   127.0.0.1:5601->5601/tcp             kibana-local-dev
a89056d65008   docker.elastic.co/elasticsearch/elasticsearch:8.15.3   "/bin/tini -- /usr/l…"   7 minutes ago   Up 7 minutes (healthy)   127.0.0.1:9200->9200/tcp, 9300/tcp   es-local-dev

我们可以看到有两个容器正在运行中。

我们在浏览器中打开 http://localhost:9200

%title插图%num

%title插图%num

我们也可以使用如下的命令来进行查看:

$ curl -u elastic:wuRd1MYj http://localhost:9200
{
  "name" : "a89056d65008",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "T4kEFaxvTkC8R9j4wW4A3w",
  "version" : {
    "number" : "8.15.3",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "f97532e680b555c3a05e73a74c28afb666923018",
    "build_date" : "2024-10-09T22:08:00.328917561Z",
    "build_snapshot" : false,
    "lucene_version" : "9.11.1",
    "minimum_wire_compatibility_version" : "7.17.0",
    "minimum_index_compatibility_version" : "7.0.0"
  },
  "tagline" : "You Know, for Search"
}

我们也可以在浏览器中打入地址 http://localhost:5601

%title插图%num

%title插图%num

我们成功地进入到 Kibana 的界面了。

警告:HTTPS 已禁用,并且对 Elasticsearch 使用基本身份验证。此配置仅用于本地测试。出于安全考虑,Elasticsearch 和 Kibana 只能通过 localhost 访问。

API keys

生成 Elasticsearch 的 API 密钥并将其作为 ES_LOCAL_API_KEY 存储在 .env 文件中。使用此密钥通过 Elastic SDKREST API 连接到 Elasticsearch。

在 elastic-start-local 文件夹中使用 curl 检查与 Elasticsearch 的连接:

source .env
curl $ES_LOCAL_URL -H "Authorization: ApiKey ${ES_LOCAL_API_KEY}"
$ source .env
$ curl $ES_LOCAL_URL -H "Authorization: ApiKey ${ES_LOCAL_API_KEY}"
{
  "name" : "a89056d65008",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "T4kEFaxvTkC8R9j4wW4A3w",
  "version" : {
    "number" : "8.15.3",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "f97532e680b555c3a05e73a74c28afb666923018",
    "build_date" : "2024-10-09T22:08:00.328917561Z",
    "build_snapshot" : false,
    "lucene_version" : "9.11.1",
    "minimum_wire_compatibility_version" : "7.17.0",
    "minimum_index_compatibility_version" : "7.0.0"
  },
  "tagline" : "You Know, for Search"
}

启动及停止服务

你可以使用 elastic-start-local 文件夹中提供的 start 和 stop 命令。

要停止 Elasticsearch 和 Kibana Docker 服务,请使用 stop命令:

cd elastic-start-local
./stop.sh
$ pwd
/Users/liuxg/data/start-local/elastic-start-local
$ ls
docker-compose.yml start.sh           stop.sh            uninstall.sh
$ ./stop.sh 
[+] Stopping 3/3
 tgcode✔ Container kibana-local-dev  Stopped                                                              0.2s 
 ✔ Container kibana_settings   Stopped                                                              0.0s 
 ✔ Container es-local-dev      Stopped                                                              2.6s 
$ docker ps
CONTAINER ID   IMAGE     COMMAND   CREATED   STATUS    PORTS     NAMES

要启动 Elasticsearch 和 Kibana Docker 服务,请使用 start 命令:

cd elastic-start-local
./start.sh
$ pwd
/Users/liuxg/data/start-local/elastic-start-local
$ ls
docker-compose.yml start.sh           stop.sh            uninstall.sh
$ ./start.sh
[+] Building 0.0s (0/0)                                                             docker:desktop-linux
[+] Running 3/3
 ✔ Container es-local-dev      Healthy                                                              0.0s 
 ✔ Container kibana_settings   Exited                                                               0.0s 
 ✔ Container kibana-local-dev  Healthy                                                              0.0s 
$ docker ps
CONTAINER ID   IMAGE                                                  COMMAND                  CREATED          STATUS                    PORTS                                NAMES
4b50f85bddd3   docker.elastic.co/kibana/kibana:8.15.3                 "/bin/tini -- /usr/l…"   19 minutes ago   Up 23 seconds (healthy)   127.0.0.1:5601->5601/tcp             kibana-local-dev
a89056d65008   docker.elastic.co/elasticsearch/elasticsearch:8.15.3   "/bin/tini -- /usr/l…"   19 minutes ago   Up 34 seconds (healthy)   127.0.0.1:9200tgcode->9200/tcp, 9300/tcp   es-local-dev

从上面,我们可以看到容器已经被成功运行。

如果你需要配置 HTTPS,你需要阅读文章 “如何在 Linux,MacOS 及 Windows 上进行安装 Elasticsearch”。

文章来源于互联网:使用 start-local 脚本在本地运行 Elasticsearch

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