Kibana的安装&整合ElasticSearch

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简介: Kibana的安装&整合ElasticSearch

正文


     Kibana是一个开源分析和可视化平台,旨在与 Elasticsearch 配合使用。您可以使用 Kibana 搜索、查看存储在 Elasticsearch 索引中的数据并与之交互。您可以轻松地执行高级数据分析并在各种图表、表格和地图中可视化您的数据。


传统方式


1、下载kibana


https://artifacts.elastic.co/downloads/kibana/kibana-7.15.2-linux-x86_64.tar.gz


2、解压缩移动重命名


[root@bogon ~]# tar -zxvf kibana-7.15.2-linux-x86_64.tar.gz 
#移动
[root@bogon ~]# mv kibana-7.15.2-linux-x86_64 /usr/local/kibana 


3、修改配置文件kibana.yml


# Kibana is served by a back end server. This setting specifies the port to use.
#端口号
server.port: 5601
# Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
# The default is 'localhost', which usually means remote machines will not be able to connect.
# To allow connections from remote users, set this parameter to a non-loopback address.
#链接地址
server.host: "192.168.139.161"
# Enables you to specify a path to mount Kibana at if you are running behind a proxy.
# Use the `server.rewriteBasePath` setting to tell Kibana if it should remove the basePath
# from requests it receives, and to prevent a deprecation warning at startup.
# This setting cannot end in a slash.
#server.basePath: ""
# Specifies whether Kibana should rewrite requests that are prefixed with
# `server.basePath` or require that they are rewritten by your reverse proxy.
# This setting was effectively always `false` before Kibana 6.3 and will
# default to `true` starting in Kibana 7.0.
#server.rewriteBasePath: false
# Specifies the public URL at which Kibana is available for end users. If
# `server.basePath` is configured this URL should end with the same basePath.
#server.publicBaseUrl: ""
# The maximum payload size in bytes for incoming server requests.
#server.maxPayload: 1048576
# The Kibana server's name.  This is used for display purposes.
#server.name: "your-hostname"
# The URLs of the Elasticsearch instances to use for all your queries.
#es地址
elasticsearch.hosts: ["http://192.168.139.160:9200","http://192.168.139.161:9200","http://192.168.139.162:9200"]
# Kibana uses an index in Elasticsearch to store saved searches, visualizations and
# dashboards. Kibana creates a new index if the index doesn't already exist.
#kibana.index: ".kibana"
# The default application to load.
#kibana.defaultAppId: "home"
# If your Elasticsearch is protected with basic authentication, these settings provide
# the username and password that the Kibana server uses to perform maintenance on the Kibana
# index at startup. Your Kibana users still need to authenticate with Elasticsearch, which
# is proxied through the Kibana server.
#如果elasticsearch设置了密码,请打开此处的注释,并填写自己的密码
elasticsearch.username: "kibana_system"
elasticsearch.password: "oNXyGWsWHLC3VllVb4Qb"
# Kibana can also authenticate to Elasticsearch via "service account tokens".
# If may use this token instead of a username/password.
# elasticsearch.serviceAccountToken: "my_token"
# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively.
# These settings enable SSL for outgoing requests from the Kibana server to the browser.
#server.ssl.enabled: false
#server.ssl.certificate: /path/to/your/server.crt
#server.ssl.key: /path/to/your/server.key
# Optional settings that provide the paths to the PEM-format SSL certificate and key files.
# These files are used to verify the identity of Kibana to Elasticsearch and are required when
# xpack.security.http.ssl.client_authentication in Elasticsearch is set to required.
#elasticsearch.ssl.certificate: /path/to/your/client.crt
#elasticsearch.ssl.key: /path/to/your/client.key
# Optional setting that enables you to specify a path to the PEM file for the certificate
# authority for your Elasticsearch instance.
#elasticsearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ]
# To disregard the validity of SSL certificates, change this setting's value to 'none'.
#elasticsearch.ssl.verificationMode: full
# Time in milliseconds to wait for Elasticsearch to respond to pings. Defaults to the value of
# the elasticsearch.requestTimeout setting.
#elasticsearch.pingTimeout: 1500
# Time in milliseconds to wait for responses from the back end or Elasticsearch. This value
# must be a positive integer.
#elasticsearch.requestTimeout: 30000
# List of Kibana client-side headers to send to Elasticsearch. To send *no* client-side
# headers, set this value to [] (an empty list).
#elasticsearch.requestHeadersWhitelist: [ authorization ]
# Header names and values that are sent to Elasticsearch. Any custom headers cannot be overwritten
# by client-side headers, regardless of the elasticsearch.requestHeadersWhitelist configuration.
#elasticsearch.customHeaders: {}
# Time in milliseconds for Elasticsearch to wait for responses from shards. Set to 0 to disable.
#elasticsearch.shardTimeout: 30000
# Logs queries sent to Elasticsearch. Requires logging.verbose set to true.
#elasticsearch.logQueries: false
# Specifies the path where Kibana creates the process ID file.
#pid.file: /run/kibana/kibana.pid
# Enables you to specify a file where Kibana stores log output.
#logging.dest: stdout
# Set the value of this setting to true to suppress all logging output.
#logging.silent: false
# Set the value of this setting to true to suppress all logging output other than error messages.
#logging.quiet: false
# Set the value of this setting to true to log all events, including system usage information
# and all requests.
#logging.verbose: false
# Set the interval in milliseconds to sample system and process performance
# metrics. Minimum is 100ms. Defaults to 5000.
#ops.interval: 5000
# Specifies locale to be used for all localizable strings, dates and number formats.
# Supported languages are the following: English - en , by default , Chinese - zh-CN .
#中文显示
i18n.locale: "zh-CN"


4、授权用户


chown -R snail_es.es /usr/local/kibana


5、启动


[snail_es@bogon kibana]$ ./bin/kibana 
#后台启动
[snail_es@bogon kibana]$ nohup ./bin/kibana &


6、 验证


浏览器输入 http://192.168.139.161:5601/

444.png


可以执行es指令如下


#创建索引
PUT /test
#查询索引
GET /test;
#新增user
PUT /test/user/1
{
  "name":"snail",
  "sex":0,
  "age":22
}
PUT /test/user/2
{
  "name":"周依琳",
  "sex":0,
  "age":22
}
PUT /test/user/3
{
  "name":"周结论",
  "sex":0,
  "age":22
}
PUT /test/user/4
{
  "name":"周蜗牛",
  "sex":0,
  "age":22
}
PUT /test/user/5
{
  "name":"牛粪粪",
  "sex":0,
  "age":22
}
GET /test/user/1
#id查询
GET /test/user/_mget
{
  "ids":["1","2"]
}
#精确查询
GET test/user/_search
{
  "query": {
    "term": {
      "name": "snail"
    }
  }
}
#模糊匹配
GET /test/user/_search
{
  "from": 0,
  "size": 2, 
  "query": {
    "match": {
        "name": "周"
      }
  }
}


Docker方式


1、拉取镜像


[root@bogon config]# docker pull docker.elastic.co/kibana/kibana:7.15.2


2、创建挂载目录


[root@bogon ~]# mkdir -p /data/kibana/conf


3、配置文件kibana.yml


# Default Kibana configuration for docker target
server.host: "0"
server.shutdownTimeout: "5s"
elasticsearch.hosts: [ "http://192.168.139.160.147:9200","http://192.168.139.161:9200","http://192.168.139.162:9200" ]
monitoring.ui.container.elasticsearch.enabled: true
#elasticsearch.username: "elastic" 
#elasticsearch.password: "123456"
#中文
i18n.locale: "zh-CN"


4、启动容器


docker run -d \
  --name=kibana \
  --restart=always \
  -p 5601:5601 \
  -v /data/kibana/conf/kibana.yml:/usr/share/kibana/config/kibana.yml \
  docker.elastic.co/kibana/kibana:7.15.2


5、访问方式同上

相关实践学习
使用阿里云Elasticsearch体验信息检索加速
通过创建登录阿里云Elasticsearch集群,使用DataWorks将MySQL数据同步至Elasticsearch,体验多条件检索效果,简单展示数据同步和信息检索加速的过程和操作。
ElasticSearch 入门精讲
ElasticSearch是一个开源的、基于Lucene的、分布式、高扩展、高实时的搜索与数据分析引擎。根据DB-Engines的排名显示,Elasticsearch是最受欢迎的企业搜索引擎,其次是Apache Solr(也是基于Lucene)。 ElasticSearch的实现原理主要分为以下几个步骤: 用户将数据提交到Elastic Search 数据库中 通过分词控制器去将对应的语句分词,将其权重和分词结果一并存入数据 当用户搜索数据时候,再根据权重将结果排名、打分 将返回结果呈现给用户 Elasticsearch可以用于搜索各种文档。它提供可扩展的搜索,具有接近实时的搜索,并支持多租户。
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