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目錄: https://github.com/dolyw/ProjectStudy/tree/master/Elasticsearch

DockerStudy

dolyw：https://note.dolyw.com/docker/03-Elasticsearch.html

項(xiàng)目地址

Github：https://github.com/dolyw/ProjectStudy/tree/master/Elasticsearch/02-SpringBoot-ES-Docker
Gitee(碼云)：https://gitee.com/dolyw/ProjectStudy/tree/master/Elasticsearch/02-SpringBoot-ES-Docker

Docker下Elasticsearch的使用

當(dāng)然首先啟動(dòng)Docker，可以去Docker Hub: https://hub.docker.com/_/elasticsearch?tab=tags查詢下Tag版本

可以先docker search elasticsearch查詢一下，看下連接有沒有問題

然后直接使用命令docker pull elasticsearch下載最新版本，可以加上冒號(hào)版本號(hào)下載對(duì)應(yīng)版本docker pull elasticsearch:7.3.0，這里我們使用7.3.0版本

PS C:\> docker search elasticsearch
NAME                                 DESCRIPTION                                     STARS               OFFICIAL            AUTOMATED
elasticsearch                        Elasticsearch is a powerful open source sear…   3801                [OK]
nshou/elasticsearch-kibana           Elasticsearch-7.1.1 Kibana-7.1.1                104                                     [OK]
itzg/elasticsearch                   Provides an easily configurable Elasticsearc…   67                                      [OK]
mobz/elasticsearch-head              elasticsearch-head front-end and standalone …   47
elastichq/elasticsearch-hq           Official Docker image for ElasticHQ: Elastic…   36                                      [OK]
...
PS C:\> docker pull elasticsearch:7.3.0
7.3.0: Pulling from library/elasticsearch
8ba884070f61: Pull complete
854c9f9b1064: Pull complete
44d43a907bb5: Pull complete
9311c5f24d75: Pull complete
91363c70bdb7: Pull complete
38b4cb8c47ad: Pull complete
c22bd5067efd: Pull complete
Digest: sha256:ba2ef018238cc05e9e44d72228002b4fabe202801951caaa265ce080deb97133
Status: Downloaded newer image for elasticsearch:7.3.0
docker.io/library/elasticsearch:7.3.0
PS C:\>

這樣就下載完成了，先使用命令docker images查詢Elasticsearch鏡像ID

PS C:\> docker images
REPOSITORY          TAG                               IMAGE ID            CREATED             SIZE
tomcat              8.5.43-jdk8-adoptopenjdk-openj9   689bdcef64fe        22 hours ago        339MB
elasticsearch       7.3.0                             bdaab402b220        3 weeks ago         806MB

在啟動(dòng)前我們先在自己主機(jī)建立ES的配置文件elasticsearch.yml和一個(gè)data空目錄

# 設(shè)置支持Elasticsearch-Head
http.cors.enabled: true
http.cors.allow-origin: "*"
# 設(shè)置集群Master配置信息
cluster.name: myEsCluster
# 節(jié)點(diǎn)的名字，一般為Master或者Slave
node.name: master
# 節(jié)點(diǎn)是否為Master，設(shè)置為true的話，說明此節(jié)點(diǎn)為Master節(jié)點(diǎn)
node.master: true
# 設(shè)置網(wǎng)絡(luò)，如果是本機(jī)的話就是127.0.0.1，其他服務(wù)器配置對(duì)應(yīng)的IP地址即可(0.0.0.0支持外網(wǎng)訪問)
network.host: 0.0.0.0
# 設(shè)置對(duì)外服務(wù)的Http端口，默認(rèn)為 9200，可以修改默認(rèn)設(shè)置
http.port: 9200
# 設(shè)置節(jié)點(diǎn)間交互的TCP端口，默認(rèn)是9300
transport.tcp.port: 9300
# 手動(dòng)指定可以成為Master的所有節(jié)點(diǎn)的Name或者IP，這些配置將會(huì)在第一次選舉中進(jìn)行計(jì)算
cluster.initial_master_nodes: ["master"]

然后直接用下面命令啟動(dòng)Elasticsearch容器，加-d就表示后臺(tái)運(yùn)行，配置文件和空目錄如下對(duì)應(yīng)起來

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -v D:/tools/docker/elasticsearch/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v D:/tools/docker/elasticsearch/data:/usr/share/elasticsearch/data --name es -p 9200:9200 -p 9300:9300 bdaab402b220

注：設(shè)置-e ES_JAVA_OPTS="-Xms256m -Xmx256m"是因?yàn)?etc/elasticsearch/jvm.options默認(rèn)JVM最大最小內(nèi)存是2G，讀者啟動(dòng)容器后可用docker stats命令查看

可能會(huì)需要確認(rèn)是否共享磁盤，都確認(rèn)就可以，等一會(huì)啟動(dòng)成功瀏覽器查看: http://127.0.0.1:9200，返回下面的字符，代表啟動(dòng)成功

{
  "name" : "master",
  "cluster_name" : "myEsCluster",
  "cluster_uuid" : "5SZ13bMbSKOx1Nd5iIyruA",
  "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"
}

Docker下Elasticsearch的集群

建立三個(gè)配置文件elasticsearch1.yml，elasticsearch2.yml，elasticsearch3.yml和三個(gè)data文件夾，data1，data2，data3

elasticsearch1.yml

# 設(shè)置支持Elasticsearch-Head
http.cors.enabled: true
http.cors.allow-origin: "*"
# 設(shè)置集群Master配置信息
cluster.name: myEsCluster
# 節(jié)點(diǎn)的名字，一般為Master或者Slave
node.name: master
# 節(jié)點(diǎn)是否為Master，設(shè)置為true的話，說明此節(jié)點(diǎn)為Master節(jié)點(diǎn)
node.master: true
# 設(shè)置網(wǎng)絡(luò)，如果是本機(jī)的話就是127.0.0.1，其他服務(wù)器配置對(duì)應(yīng)的IP地址即可(0.0.0.0支持外網(wǎng)訪問)
network.host: 0.0.0.0
# 設(shè)置對(duì)外服務(wù)的Http端口，默認(rèn)為 9200，可以修改默認(rèn)設(shè)置
http.port: 9500
# 設(shè)置節(jié)點(diǎn)間交互的TCP端口，默認(rèn)是9300
transport.tcp.port: 9300
# 手動(dòng)指定可以成為Master的所有節(jié)點(diǎn)的Name或者IP，這些配置將會(huì)在第一次選舉中進(jìn)行計(jì)算
cluster.initial_master_nodes: ["master"]
# 集群發(fā)現(xiàn)節(jié)點(diǎn)信息，一般為其他節(jié)點(diǎn)IP加交互端口，這里一般填主機(jī)IP
discovery.seed_hosts: ["192.168.2.58:9301", "192.168.2.58:9302"]

elasticsearch2.yml

# 設(shè)置集群Slave配置信息
cluster.name: myEsCluster
# 節(jié)點(diǎn)的名字，一般為Master或者Slave
node.name: slave1
# 節(jié)點(diǎn)是否為Master，設(shè)置為true的話，說明此節(jié)點(diǎn)為master節(jié)點(diǎn)
node.master: false
# 設(shè)置對(duì)外服務(wù)的Http端口，默認(rèn)為 9200，可以修改默認(rèn)設(shè)置
http.port: 9600
# 設(shè)置節(jié)點(diǎn)間交互的TCP端口，默認(rèn)是9300
transport.tcp.port: 9301
# 設(shè)置網(wǎng)絡(luò)，如果是本機(jī)的話就是127.0.0.1，其他服務(wù)器配置對(duì)應(yīng)的IP地址即可(0.0.0.0支持外網(wǎng)訪問)
network.host: 0.0.0.0
# 集群發(fā)現(xiàn)節(jié)點(diǎn)信息，一般為其他節(jié)點(diǎn)IP加交互端口，這里一般填主機(jī)IP
discovery.seed_hosts: ["192.168.2.58:9300", "192.168.2.58:9302"]

elasticsearch3.yml

# 設(shè)置集群Slave配置信息
cluster.name: myEsCluster
# 節(jié)點(diǎn)的名字，一般為Master或者Slave
node.name: slave2
# 節(jié)點(diǎn)是否為Master，設(shè)置為true的話，說明此節(jié)點(diǎn)為master節(jié)點(diǎn)
node.master: false
# 設(shè)置對(duì)外服務(wù)的Http端口，默認(rèn)為 9200，可以修改默認(rèn)設(shè)置
http.port: 9700
# 設(shè)置節(jié)點(diǎn)間交互的TCP端口，默認(rèn)是9300
transport.tcp.port: 9302
# 設(shè)置網(wǎng)絡(luò)，如果是本機(jī)的話就是127.0.0.1，其他服務(wù)器配置對(duì)應(yīng)的IP地址即可(0.0.0.0支持外網(wǎng)訪問)
network.host: 0.0.0.0
# 集群發(fā)現(xiàn)節(jié)點(diǎn)信息，一般為其他節(jié)點(diǎn)IP加交互端口，這里一般填主機(jī)IP
discovery.seed_hosts: ["192.168.2.58:9300", "192.168.2.58:9301"]

然后啟動(dòng)三個(gè)，一個(gè)Master，兩個(gè)Slave

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -v D:/tools/docker/elasticsearch/elasticsearch1.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v D:/tools/docker/elasticsearch/data1:/usr/share/elasticsearch/data --name es1 -p 9500:9500 -p 9300:9300 bdaab402b220

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -v D:/tools/docker/elasticsearch/elasticsearch2.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v D:/tools/docker/elasticsearch/data2:/usr/share/elasticsearch/data --name es2 -p 9600:9600 -p 9301:9301 bdaab402b220

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -v D:/tools/docker/elasticsearch/elasticsearch3.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v D:/tools/docker/elasticsearch/data3:/usr/share/elasticsearch/data --name es3 -p 9700:9700 -p 9302:9302 bdaab402b220

等一會(huì)啟動(dòng)成功瀏覽器查看集群節(jié)點(diǎn)信息: http://127.0.0.1:9500/_cat/nodes?v

ip         heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
172.17.0.2           34          95   3    0.69    0.50     0.20 dim       *      master
172.17.0.4           49          95   3    0.69    0.50     0.20 di        -      slave1
172.17.0.3           48          95   3    0.69    0.50     0.20 di        -      slave1

Docker集群就OK了

Docker下Elasticsearch-Head的安裝

可以先docker search elasticsearch查詢一下，看下有沒有問題，然后直接使用命令docker pull mobz/elasticsearch-head:5下載，加上冒號(hào)版本號(hào)下載對(duì)應(yīng)版本，這里我們使用5版本

下載完成了，直接啟動(dòng)

docker run -d --name es-head -p 9100:9100 mobz/elasticsearch-head:5

等一會(huì)啟動(dòng)成功瀏覽器查看: http://127.0.0.1:9100，把連接地址改成http://localhost:9500，點(diǎn)擊連接即可，連接成功，可以看到三個(gè)節(jié)點(diǎn)的集群信息，就這樣Elasticsearch-Head就安裝成功了

Docker下Elasticsearch的IK分詞插件的安裝

直接去Github的Releases下載自己ES對(duì)應(yīng)的版本: https://github.com/medcl/elasticsearch-analysis-ik/releases

這里我們下載7.3: https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.3.0/elasticsearch-analysis-ik-7.3.0.zip

下載下來放到我們對(duì)應(yīng)的每個(gè)ES映射目錄data下，解壓為一個(gè)文件夾，啟動(dòng)Docker，啟動(dòng)ES容器，進(jìn)去ES容器

docker exec -it es bash

進(jìn)去data目錄，查看文件，可以看到是和我們主機(jī)對(duì)應(yīng)的目錄，然后我們把解壓的這個(gè)elasticsearch-analysis-ik-7.3.0文件夾移動(dòng)到上一層的plugins目錄下即可

PS C:\WINDOWS\system32> docker exec -it es bash
[root@a563ff91196d elasticsearch]# ls
LICENSE.txt  NOTICE.txt  README.textile  bin  config  data  jdk  lib  logs  modules  plugins
[root@a563ff91196d elasticsearch]# cd data
[root@a563ff91196d data]# ls
elasticsearch-analysis-ik-7.3.0  elasticsearch-analysis-ik-7.3.0.zip  nodes
[root@a563ff91196d data]#

[root@a563ff91196d data]# ls
elasticsearch-analysis-ik-7.3.0  elasticsearch-analysis-ik-7.3.0.zip  nodes
[root@a563ff91196d data]# mv elasticsearch-analysis-ik-7.3.0 ../plugins
[root@a563ff91196d data]# ls
elasticsearch-analysis-ik-7.3.0.zip  nodes
[root@a563ff91196d data]# cd ..
[root@a563ff91196d elasticsearch]# ls
LICENSE.txt  NOTICE.txt  README.textile  bin  config  data  jdk  lib  logs  modules  plugins
[root@a563ff91196d elasticsearch]# cd plugins/
[root@a563ff91196d plugins]# ls
elasticsearch-analysis-ik-7.3.0

這樣就OK了，我們?cè)偈褂妹頴xit退出，再docker restart es重啟容器

[root@a563ff91196d plugins]# ls
elasticsearch-analysis-ik-7.3.0
[root@a563ff91196d plugins]# exit
exit
PS C:\WINDOWS\system32> docker restart es
es
PS C:\WINDOWS\system32>

也可以docker logs -f es查看下啟動(dòng)日志

測(cè)試下IK分詞插件OK了沒

POST /_analyze
{
  "text":"中華人民共和國國徽",
  "analyzer":"ik_smart"
}

{
    "tokens": [
        {
            "token": "中華人民共和國",
            "start_offset": 0,
            "end_offset": 7,
            "type": "CN_WORD",
            "position": 0
        },
        {
            "token": "國徽",
            "start_offset": 7,
            "end_offset": 9,
            "type": "CN_WORD",
            "position": 1
        }
    ]
}

Docker下Elasticsearch的拼音分詞插件的安裝

和IK安裝類似，直接去Github的Releases下載自己ES對(duì)應(yīng)的版本: https://github.com/medcl/elasticsearch-analysis-pinyin/releases

這里我們下載7.3: https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v7.3.0/elasticsearch-analysis-pinyin-7.3.0.zip

操作類似，下載下來放到我們對(duì)應(yīng)的每個(gè)ES映射目錄data下，解壓為一個(gè)文件夾，啟動(dòng)Docker，啟動(dòng)ES容器，進(jìn)去ES容器，然后我們把解壓的這個(gè)elasticsearch-analysis-pinyin-7.3.0文件夾移動(dòng)到上一層的plugins目錄下即可，這樣就OK了，我們?cè)偈褂妹頴xit退出，再docker restart es重啟容器

然后測(cè)試一下

POST /_analyze
{
  "text":"中華人民共和國國徽",
  "analyzer":"pinyin"
}

{
    "tokens": [
        {
            "token": "zhong",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 0
        },
        {
            "token": "zhrmghggh",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 0
        },
        {
            "token": "hua",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 1
        },
        {
            "token": "ren",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 2
        },
        {
            "token": "min",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 3
        },
        {
            "token": "gong",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 4
        },
        {
            "token": "he",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 5
        },
        {
            "token": "guo",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 6
        },
        {
            "token": "guo",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 7
        },
        {
            "token": "hui",
            "start_offset": 0,
            "end_offset": 0,
            "type": "word",
            "position": 8
        }
    ]
}

使用IK和拼音分詞插件(詳細(xì)使用可以查看Github的文檔)

創(chuàng)建Index，拼音分詞過濾

PUT /book
{
    "settings": {
        "analysis": {
            "analyzer": {
                "pinyin_analyzer": {
                    "tokenizer": "my_pinyin"
                }
            },
            "tokenizer": {
                "my_pinyin": {
                    "type": "pinyin",
                    "keep_separate_first_letter": false,
                    "keep_full_pinyin": true,
                    "keep_original": true,
                    "limit_first_letter_length": 16,
                    "lowercase": true,
                    "remove_duplicated_term": true
                }
            }
        }
    }
}

{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "book"
}

創(chuàng)建Mapping，屬性使用過濾，name開啟拼音分詞，content開啟IK分詞，describe開啟拼音加IK分詞

POST /book/_mapping
{
    "properties": {
        "name": {
            "type": "keyword",
            "fields": {
                "pinyin": {
                    "type": "text",
                    "store": false,
                    "term_vector": "with_offsets",
                    "analyzer": "pinyin_analyzer",
                    "boost": 10
                }
            }
        },
        "content": {
            "type": "text",
            "analyzer": "ik_max_word",
            "search_analyzer": "ik_smart"
        },
        "describe": {
            "type": "text",
            "analyzer": "ik_max_word",
            "search_analyzer": "ik_smart",
            "fields": {
                "pinyin": {
                    "type": "text",
                    "store": false,
                    "term_vector": "with_offsets",
                    "analyzer": "pinyin_analyzer",
                    "boost": 10
                }
            }
        },
        "id": {
            "type": "long"
        }
    }
}

{
    "acknowledged": true
}

這樣Index以及屬性分詞就開啟了

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[Elasticsearch](五)Docker環(huán)境下搭建Elasticsearch，Elasticsearch集群，Elasticsearch-Head以及IK分詞插件和拼音分詞插件

[Elasticsearch](五)Docker環(huán)境下搭建Elasticsearch，Elasticsearch集群，Elasticsearch-Head以及IK分詞插件和拼音分詞插件

DockerStudy

項(xiàng)目地址

Docker下Elasticsearch的使用

Docker下Elasticsearch的集群

Docker下Elasticsearch-Head的安裝

Docker下Elasticsearch的IK分詞插件的安裝

Docker下Elasticsearch的拼音分詞插件的安裝

使用IK和拼音分詞插件(詳細(xì)使用可以查看Github的文檔)

相關(guān)閱讀更多精彩內(nèi)容

友情鏈接更多精彩內(nèi)容

色偷偷精品伊人,欧洲久久精品,欧美综合婷婷骚逼,国产AV主播,国产最新探花在线,九色在线视频一区,伊人大交九 欧美,1769亚洲,黄色成人av

[Elasticsearch](五)Docker環(huán)境下搭建Elasticsearch，Elasticsearch集群，Elasticsearch-Head以及IK分詞插件和拼音分詞插件

DockerStudy

項(xiàng)目地址

Docker下Elasticsearch的使用

Docker下Elasticsearch的集群

Docker下Elasticsearch-Head的安裝

Docker下Elasticsearch的IK分詞插件的安裝

Docker下Elasticsearch的拼音分詞插件的安裝

使用IK和拼音分詞插件(詳細(xì)使用可以查看Github的文檔)

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