docker安装elasticsearch、kibana、ik

我会带着你远行 2023-01-01 10:53 277阅读 0赞

# 1、安装ElasticSearch、kibana #

官方安装地址：

[https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html][https_www.elastic.co_guide_en_elasticsearch_reference_current_docker.html]

[https://www.elastic.co/guide/en/kibana/current/docker.html][https_www.elastic.co_guide_en_kibana_current_docker.html]

## 1.1 拉取镜像 ##

>docker pull docker.elastic.co/elasticsearch/elasticsearch:7.10.1
    >docker pull docker.elastic.co/kibana/kibana:7.10.1

## 1.2 开发模式，快速启动 ##

### 1.2.1 安装elasticsearch ###

>sudo mkdir -p /mydata/elasticsearch/config
    >sudo mkdir -p /mydata/elasticsearch/data
    >sudo echo "http.host: 0.0.0.0" >> /mydata/elasticsearch/config/elasticsearch.yml #可以远程访问
    >chmod -R 777 /mydata/elasticsearch
    >sudo docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
     -d \
     -e "discovery.type=single-node" \
     -e ES_JAVA_OPTS="-Xms64m -Xmx128m" \
     -v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
     -v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
     -v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
     docker.elastic.co/elasticsearch/elasticsearch:7.10.1

### 1.2.2 安装IK ###

ik地址：[https://github.com/medcl/elasticsearch-analysis-ik/releases][https_github.com_medcl_elasticsearch-analysis-ik_releases]

下载

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70][]

>wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.10.1/elasticsearch-analysis-ik-7.10.1.zip
    > unzip elasticsearch-analysis-ik-7.10.1.zip -d ik/
    >mv ik/ /mydata/elasticsearch/plugins/
    >docker restart elasticsearch #重启elasticsearch

### 1.2.3 安装kibana ###

docker run --link YOUR_ELASTICSEARCH_CONTAINER_NAME_OR_ID:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:7.10.1

YOUR\_ELASTICSEARCH\_CONTAINER\_NAME\_OR\_ID：elasticsearch的docker的name或id。

>docker run -d --name kibana --link elasticsearch:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:7.10.1

找到Kibana配置文件所在：`config/kibana.ym`

重启即可。

>docker exec -it kibana /bin/bash #进入容器

找到配置：`i18n.locale: "en"` 并将`en`修改为`zh-CN`(简体中文)。

## 1.3 访问 ##

验证elasticsearch

配置9200是通过HTTP连接的端口，9300是TCP连接的端口

访问地址：[http://localhost:9200/][http_localhost_9200]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 1][]

验证kibana

访问地址：[http://8.136.103.242:5601/][http_8.136.103.242_5601]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 2][]

## 1.4 命令 ##

>docker start elasticsearch  #启动
    >docker stop elasticsearch  #停止
    >docker restart elasticsearch  #重启
    >docker exec -it elasticsearch  /bin/bash #进入容器

## 1.5 验证中文分词 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 3][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 4][]

POST /docs/news
    {"content":"美国留给伊拉克的是个烂摊子吗"}
    
    POST /index/_create/1
    {"content":"美国留给伊拉克的是个烂摊子吗"}
    
    POST /index/_create/2
    {"content":"公安部：各地校车将享最高路权"}
    
    POST /index/_create/3
    {"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}
    
    POST /index/_create/4
    {"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
    
    POST /index/_search
    {
        "query" : { "match" : { "content" : "中国" }},
        "highlight" : {
            "pre_tags" : ["<tag1>", "<tag2>"],
            "post_tags" : ["</tag1>", "</tag2>"],
            "fields" : {
                "content" : {}
            }
        }
    }

返回结果

{
      "took" : 3,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 3,
          "relation" : "eq"
        },
        "max_score" : 1.2257079,
        "hits" : [
          {
            "_index" : "index",
            "_type" : "_doc",
            "_id" : "3",
            "_score" : 1.2257079,
            "_source" : {
              "content" : "中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"
            },
            "highlight" : {
              "content" : [
                "<tag1>中</tag1>韩渔警冲突调查：韩警平均每天扣1艘<tag1>中</tag1><tag1>国</tag1>渔船"
              ]
            }
          },
          {
            "_index" : "index",
            "_type" : "_doc",
            "_id" : "4",
            "_score" : 0.9640833,
            "_source" : {
              "content" : "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
            },
            "highlight" : {
              "content" : [
                "<tag1>中</tag1><tag1>国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
              ]
            }
          },
          {
            "_index" : "index",
            "_type" : "_doc",
            "_id" : "1",
            "_score" : 0.3864615,
            "_source" : {
              "content" : "美国留给伊拉克的是个烂摊子吗"
            },
            "highlight" : {
              "content" : [
                "美<tag1>国</tag1>留给伊拉克的是个烂摊子吗"
              ]
            }
          }
        ]
      }
    }

## 1.6 插入测试数据 ##

测试数据地址：[https://github.com/elastic/elasticsearch/blob/master/docs/src/test/resources/accounts.json][https_github.com_elastic_elasticsearch_blob_master_docs_src_test_resources_accounts.json]

批量添加添加

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 5][]

# 2、geo #

## 2.1 创建索引字段 ##

PUT /show
    {
      "mappings": {
        "properties": {
          "id": {
    				"type": "integer"
    			},
    			"name": {
    				"type": "text",
    				"analyzer": "standard"
    			},
    			"type": {
    				"type": "integer"
    			},
    			"position": {
    				"properties": {
    					"location": {
    						"type": "geo_point"
    					}
    				}
    			}
        }
      }
    }

## 2.2 创建索引文档 ##

PUT /show/_doc/2
    { 
        "id" : 1, 
        "name" :  "建升大厦", 
        "type" :  1,
        "position":{
            "location" : {
                "lat" : 22.6482057076,
                "lon" : 114.1250142233
            }
        }
    }
    
    PUT /show/_doc/1
    { 
        "id" : 2, 
        "name" :  "深圳市第三人民医院", 
        "type" :  1,
        "position":{
            "location" : {
                "lat" : 22.6352587415,
                "lon" : 114.1289020619
            }
        }
    }
    
    PUT /show/_doc/3
    { 
        "id" : 3, 
        "name" :  "深圳百合医院", 
        "type" :  1,
        "position":{
            "location" : {
                "lat" : 22.6164455768,
                "lon" : 114.1395956293
            }
        }
    }

## 2.3 查询 ##

### 2.3.1 查询所有 ###

POST /show/_search
    {
    	"query": {
    		"bool": {
    			"must": {
    				"match_all": {
    
    				}
    			},
    			"filter": {
    				"geo_distance": {
    					"distance": "10km",
    					"position.location": {
    						"lat": 22.6497899384,
    						"lon": 114.1258725301
    					}
    				}
    			}
    		}
    	},
    	"sort": [{
    		"_geo_distance": {
    			"position.location": {
    				"lat": 22.6497899384,
    				"lon": 114.1258725301
    			},
    			"order": "asc",
    			"unit": "km",
    			"mode": "min"
    		}
    	}]
    }

查询结果

{
      "took" : 4,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 3,
          "relation" : "eq"
        },
        "max_score" : null,
        "hits" : [
          {
            "_index" : "show",
            "_type" : "_doc",
            "_id" : "2",
            "_score" : null,
            "_source" : {
              "id" : 1,
              "name" : "建升大厦",
              "type" : 1,
              "position" : {
                "location" : {
                  "lat" : 22.6482057076,
                  "lon" : 114.1250142233
                }
              }
            },
            "sort" : [
              0.19695848610299513
            ]
          },
          {
            "_index" : "show",
            "_type" : "_doc",
            "_id" : "1",
            "_score" : null,
            "_source" : {
              "id" : 2,
              "name" : "深圳市第三人民医院",
              "type" : 1,
              "position" : {
                "location" : {
                  "lat" : 22.6352587415,
                  "lon" : 114.1289020619
                }
              }
            },
            "sort" : [
              1.6454376027134134
            ]
          },
          {
            "_index" : "show",
            "_type" : "_doc",
            "_id" : "3",
            "_score" : null,
            "_source" : {
              "id" : 3,
              "name" : "深圳百合医院",
              "type" : 1,
              "position" : {
                "location" : {
                  "lat" : 22.6164455768,
                  "lon" : 114.1395956293
                }
              }
            },
            "sort" : [
              3.9662223889048036
            ]
          }
        ]
      }
    }

### 2.3.2 分词查询 ###

POST /show/_search
    {
    	"query": {
    		"bool": {
    			"must": {
    				"match": {
    					"name": "深圳"
    				}
    			},
    			"filter": {
    				"geo_distance": {
    					"distance": "100km",
    					"position.location": {
    						"lat": 22.649928,
    						"lon": 114.125646
    					}
    				}
    			}
    		}
    	},
    	"sort": [{
    		"_geo_distance": {
    			"position.location": {
    				"lat": 22.6497899384,
    				"lon": 114.1258725301
    			},
    			"order": "asc",
    			"unit": "km",
    			"mode": "min"
    		}
    	}]
    }

查询结果

{
      "took" : 1,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 2,
          "relation" : "eq"
        },
        "max_score" : null,
        "hits" : [
          {
            "_index" : "show",
            "_type" : "_doc",
            "_id" : "1",
            "_score" : null,
            "_source" : {
              "id" : 2,
              "name" : "深圳市第三人民医院",
              "type" : 1,
              "position" : {
                "location" : {
                  "lat" : 22.6352587415,
                  "lon" : 114.1289020619
                }
              }
            },
            "sort" : [
              1.6454376027134134
            ]
          },
          {
            "_index" : "show",
            "_type" : "_doc",
            "_id" : "3",
            "_score" : null,
            "_source" : {
              "id" : 3,
              "name" : "深圳百合医院",
              "type" : 1,
              "position" : {
                "location" : {
                  "lat" : 22.6164455768,
                  "lon" : 114.1395956293
                }
              }
            },
            "sort" : [
              3.9662223889048036
            ]
          }
        ]
      }
    }

[https_www.elastic.co_guide_en_elasticsearch_reference_current_docker.html]: https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
[https_www.elastic.co_guide_en_kibana_current_docker.html]: https://www.elastic.co/guide/en/kibana/current/docker.html
[https_github.com_medcl_elasticsearch-analysis-ik_releases]: https://github.com/medcl/elasticsearch-analysis-ik/releases
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70]: /images/20221120/00ccf2b767b3465cad0dfce7d744236e.png
[http_localhost_9200]: http://47.254.94.139:9200/
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 1]: /images/20221120/ed27fd211fcb48bfb9942a82a47ddf21.png
[http_8.136.103.242_5601]: http://8.136.103.242:5601/
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 2]: /images/20221120/aa1db1b9a56048f0b6bed8fa8f086363.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 3]: /images/20221120/70477300a67544fa851ce1bffbe599a3.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 4]: /images/20221120/66467387bc304d3d9f6c330844cde036.png
[https_github.com_elastic_elasticsearch_blob_master_docs_src_test_resources_accounts.json]: https://github.com/elastic/elasticsearch/blob/master/docs/src/test/resources/accounts.json
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpeGluZ3poZTI_size_16_color_FFFFFF_t_70 5]: /images/20221120/f6ffb0ab07bf4348ace13a4cf9b397c2.png