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elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码

1.准备linux服务器,ip地址为192.168.137.116

2.安装docker-ce

yum -y install docker-ce

配置docker镜像

vim /etc/docker/daemon.json

{
    "registry-mirrors": ["https://harbor:443", "https://985ecq8w.mirror.aliyuncs.com",
    "https://docker.registry.cyou",
"https://docker-cf.registry.cyou",
"https://docker.jsdelivr.fyi",
"https://dockercf.jsdelivr.fyi",
"https://dockertest.jsdelivr.fyi",
"https://dockerpull.com",
"https://dockerproxy.cn",
"https://hub.uuuadc.top",
"https://docker.1panel.live",
"https://docker.anyhub.us.kg",
"https://docker.chenby.cn",
"https://dockerhub.jobcher.com",
"https://dockerhub.icu",
"https://docker.ckyl.me",
"https://docker.awsl9527.cn",
"https://docker.hpcloud.cloud",
"https://docker.m.daocloud.io"
    ],
    "insecure-registries":["harbor:443"],
    "exec-opts": ["native.cgroupdriver=systemd"]
}

harbor安装什么的就不赘述了,docker pull能够正常使用就行

vim /etc/hosts
::1             localhost localhost.localdomain localhost6 localhost6.localdomain6
127.0.0.1       localhost localhost.localdomain localhost4 localhost4.localdomain4
192.168.137.30  harbor
192.168.137.116 ELK

启动docker

systemctl enable --now docker

3.docker pull镜像

docker pull docker.elastic.co/elasticsearch/elasticsearch:7.3.0
dcoker pull containerize/elastichd

推送到harbor

#登录及推送镜像到harbor
docker login harbor:443
docker tag docker.elastic.co/elasticsearch/elasticsearch:7.3.0 harbor:443/library/elasticsearch:7.3.0
docker push harbor:443/library/elasticsearch:7.3.0
docker tag containerize/elastichd:latest harbor:443/library/containerize/elastichd:latest
docker push harbor:443/library/containerize/elastichd:latest

[root@ELK ~]# docker images
REPOSITORY                                      TAG       IMAGE ID       CREATED       SIZE
docker.elastic.co/elasticsearch/elasticsearch   7.3.0     bdaab402b220   5 years ago   806MB
harbor:443/library/elasticsearch                7.3.0     bdaab402b220   5 years ago   806MB
containerize/elastichd                          latest    c2202f76db37   7 years ago   28.1MB
harbor:443/library/containerize/elastichd       latest    c2202f76db37   7 years ago   28.1MB

4.创建一个网络

docker network create esnet

5.启动elasticsearch容器

docker run --name es -p 9200:9200 -p 9300:9300 --network esnet -e "discovery.type=single-node" bdaab402b220

验证是否成功启动

[root@ELK ~]# curl -X GET "http://localhost:9300/"
This is not ancurl -X GET "http://localhost:9200/"
{
  "name" : "dbda370d76cd",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "pN-AU14rTSudsqG1yU4TkA",
  "version" : {
    "number" : "7.3.0",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "de777fa",
    "build_date" : "2019-07-24T18:30:11.767338Z",
    "build_snapshot" : false,
    "lucene_version" : "8.1.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

6.启动可视化容器ElasticHD

docker run -p 9800:9800  -d --link es:demo --network esnet -e "discovery.type=single-node" containerize/elastichd

7.浏览器打开ElasticHD

elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码-LMLPHP

8.使用goland开发go查询elasticsearch示例

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"log"
	"strings"

	"github.com/elastic/go-elasticsearch/v7"
	"github.com/elastic/go-elasticsearch/v7/esapi"
)

func main() {
	// 创建 Elasticsearch 客户端
	_, err := elasticsearch.NewDefaultClient()
	if err != nil {
		log.Fatalf("Error creating the client: %s", err)
	}

	// 设置 Elasticsearch URL
	cfg := elasticsearch.Config{
		Addresses: []string{"http://192.168.137.116:9200"},
	}
	esClient, err := elasticsearch.NewClient(cfg)
	if err != nil {
		log.Fatalf("Error creating the client with custom config: %s", err)
	}

	// 创建索引
	indexName := "new_index"
	if err := createIndex(esClient, indexName); err != nil {
		log.Fatalf("Error creating index: %s", err)
	}

	// 插入一些数据
	if err := insertData(esClient, indexName); err != nil {
		log.Fatalf("Error inserting data: %s", err)
	}

	// 执行一个简单的搜索请求
	res, err := search(esClient, indexName)
	if err != nil {
		log.Fatalf("Error getting response: %s", err)
	}
	defer res.Body.Close()

	// 检查响应状态
	if res.IsError() {
		var e map[string]interface{}
		if err := json.NewDecoder(res.Body).Decode(&e); err != nil {
			log.Fatalf("Error parsing the response body: %s", err)
		} else {
			// Print the response status and error information.
			log.Fatalf("[%s] %s: %s",
				res.Status(),
				e["error"].(map[string]interface{})["type"],
				e["error"].(map[string]interface{})["reason"],
			)
		}
	}

	// 解析并打印搜索结果
	var result map[string]interface{}
	if err := json.NewDecoder(res.Body).Decode(&result); err != nil {
		log.Fatalf("Error parsing the response body: %s", err)
	}
	fmt.Printf("%s\n", result)
}

// createIndex 函数创建索引
func createIndex(client *elasticsearch.Client, indexName string) error {
	// 构建创建索引的请求
	req := esapi.IndicesCreateRequest{
		Index: indexName,
		Body: strings.NewReader(`
		{
		  "settings": {
			"number_of_shards": 1,
			"number_of_replicas": 0
		  },
		  "mappings": {
			"properties": {
			  "title": {
				"type": "text"
			  },
			  "content": {
				"type": "text"
			  }
			}
		  }
		}`),
		Pretty: true,
	}

	// 执行请求
	res, err := req.Do(context.Background(), client)
	if err != nil {
		return err
	}
	defer res.Body.Close()

	if res.IsError() {
		var e map[string]interface{}
		if err := json.NewDecoder(res.Body).Decode(&e); err != nil {
			return err
		} else {
			// Print the response status and error information.
			return fmt.Errorf("[%s] %s: %s",
				res.Status(),
				e["error"].(map[string]interface{})["type"],
				e["error"].(map[string]interface{})["reason"],
			)
		}
	}

	return nil
}

// insertData 函数插入数据
func insertData(client *elasticsearch.Client, indexName string) error {
	// 构建插入数据的请求
	req := esapi.IndexRequest{
		Index:      indexName,
		DocumentID: "1",
		Body:       strings.NewReader(`{"title": "Example Title", "content": "Example Content"}`),
		Refresh:    "true",
	}

	// 执行请求
	res, err := req.Do(context.Background(), client)
	if err != nil {
		return err
	}
	defer res.Body.Close()

	if res.IsError() {
		var e map[string]interface{}
		if err := json.NewDecoder(res.Body).Decode(&e); err != nil {
			return err
		} else {
			// Print the response status and error information.
			return fmt.Errorf("[%s] %s: %s",
				res.Status(),
				e["error"].(map[string]interface{})["type"],
				e["error"].(map[string]interface{})["reason"],
			)
		}
	}

	return nil
}

// search 函数执行搜索请求
func search(client *elasticsearch.Client, indexName string) (*esapi.Response, error) {
	// 构建搜索请求
	q := `
	{
		"query": {
			"match_all": {}
		}
	}`

	// 发送搜索请求
	req := esapi.SearchRequest{
		Index:  []string{indexName},
		Body:   strings.NewReader(q),
		Pretty: true,
	}

	// 执行请求
	res, err := req.Do(context.Background(), client)
	if err != nil {
		return nil, err
	}

	return res, nil
}

9.浏览器查看数据是否改变

elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码-LMLPHP

10.创建elasticsearch集群

注意: 先删除之前创建的容器,以免端口冲突

(1)相同的ip,不同的端口

192.168.137.116服务器

es1.yml,es2.yml,es3.yml文件见压缩包资源

原理和下面的(2)逻辑差不多,只要区分不同的服务就行,ip或者端口不同只是区分的条件

不过因为是在一个服务器里面执行,为了端口不冲突,就要映射不同的端口,更加麻烦罢了

在/root目录下执行

cat >> /etc/sysctl.conf << EOF
vm.max_map_count=262144
EOF
sysctl -p
mkdir data1
chmod 777 data1
mkdir data2
chmod 777 data2
mkdir data3
chmod 777 data3

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9200:9200 \
-p 9300:9300 \
-v ./es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data1:/usr/share/elasticsearch/data \
--name ES01 \
harbor:443/library/elasticsearch:7.3.0

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9201:9201 \
-p 9301:9301 \
-v ./es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data2:/usr/share/elasticsearch/data \
--name ES02 \
harbor:443/library/elasticsearch:7.3.0

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9202:9202 \
-p 9302:9302 \
-v ./es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data3:/usr/share/elasticsearch/data \
--name ES03 \
harbor:443/library/elasticsearch:7.3.0

安装elasticsearch-head进行集群可视化查看

docker pull mobz/elasticsearch-head:5
docker run -it --name="es-admin" -p 9100:9100 mobz/elasticsearch-head

elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码-LMLPHP

(2)不同的ip,相同的端口

192.168.137.21服务器

es1.yml文件

cluster.name: es-cluster
node.name: es-0001
network.bind_host: 0.0.0.0
network.publish_host: 192.168.137.21
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["192.168.137.21:9300","192.168.137.22:9300","192.168.137.23:9300"]
discovery.zen.minimum_master_nodes: 2
cluster.initial_master_nodes: ["es-0001","es-0002","es-0003"]

在/root目录下执行

cat >> /etc/sysctl.conf << EOF
vm.max_map_count=262144
EOF
sysctl -p
mkdir data1
chmod 777 data1

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9200:9200 \
-p 9300:9300 \
-v ./es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data1:/usr/share/elasticsearch/data \
--name ES01 \
harbor:443/library/elasticsearch:7.3.0

192.168.137.22服务器

cluster.name: es-cluster
node.name: es-0002
network.bind_host: 0.0.0.0
network.publish_host: 192.168.137.22
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["192.168.137.21:9300","192.168.137.22:9300","192.168.137.23:9300"]
discovery.zen.minimum_master_nodes: 2
cluster.initial_master_nodes: ["es-0001","es-0002","es-0003"]

在/root目录下执行

cat >> /etc/sysctl.conf << EOF
vm.max_map_count=262144
EOF
sysctl -p
mkdir data1
chmod 777 data1

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9200:9200 \
-p 9300:9300 \
-v ./es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data1:/usr/share/elasticsearch/data \
--name ES01 \
harbor:443/library/elasticsearch:7.3.0

192.168.137.23服务器

cluster.name: es-cluster
node.name: es-0003
network.bind_host: 0.0.0.0
network.publish_host: 192.168.137.23
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["192.168.137.21:9300","192.168.137.22:9300","192.168.137.23:9300"]
discovery.zen.minimum_master_nodes: 2
cluster.initial_master_nodes: ["es-0001","es-0002","es-0003"]

 在/root目录下执行

cat >> /etc/sysctl.conf << EOF
vm.max_map_count=262144
EOF
sysctl -p
mkdir data1
chmod 777 data1

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d \
-p 9200:9200 \
-p 9300:9300 \
-v ./es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v ./data1:/usr/share/elasticsearch/data \
--name ES01 \
harbor:443/library/elasticsearch:7.3.0

使用浏览器查看

elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码-LMLPHP

elasticsearch的docker方式安装及golang1.22版本使用elasticsearch7的示例代码-LMLPHP

 
08-31 07:43
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