专栏首页python前行者[884]Elasticsearch可视化工具

[884]Elasticsearch可视化工具

ElasticSearch Head

用途:展示ES(集群)数据信息 视图:https://mobz.github.io/elasticsearch-head/ 下载:https://github.com/mobz/elasticsearch-head

此环境依赖于node环境,下面先安装node.js:http://nodejs.cn/download/

下载后,地接就是一个安装包,直接打开后除了安装路径自己按需设置外,其他的一路下一步就好,直到安装完成。最后打开cmd 。输入:node --version 看能否打印出版本信息安装成功。

node.js安装好后运行命令安装 grunt

npm install -g grunt-cli

然后就可以安装head 了。

下面是head的下载地址,在GitHub 中:https://github.com/mobz/elasticsearch-head

打开cmd 切换到E:\ES\elasticsearch-7.0.0\elasticsearch-head

执行 npm install 。这是要将该目录下的相关文件解压并安装,具体有什么这里可以不用管。

进入到es的安装目录下,我这里是E:\ES\elasticsearch-7.0.0\config ,打开elasticsearch.yml 在末尾添加

http.cors.enabled: true
http.cors.allow-origin: "*"

http.cors.enabled #开启跨域访问支持,默认为false
http.cors.allow-origin #跨域访问允许的域名地址,支持用正则,我这里就偷偷懒,直接全部

完成之后重启ES 再运行就可以将期启动:npm run start .

最后在浏览器中输入127.0.0.1:9100

出现此页面则所有软件安装成功

elasticsearch-sql

用途:利用标准SQL查询ES数据 下载:https://github.com/NLPchina/elasticsearch-sql

kibana

用途:利用ES查询语法(json)检索ES数据 下载:https://www.elastic.co/downloads/kibana

ELK是包含但不限于Elasticsearch(简称es)、Logstash、Kibana 三个开源软件的组成的一个整体。这三个软件合成ELK。是用于数据抽取(Logstash)、搜索分析(Elasticsearch)、数据展现(Kibana)的一整套解决方案,所以也称作ELK stack。

“ELK”是三个开源项目的首字母缩写,这三个项目分别是:Elasticsearch、Logstash 和 Kibana。

  • Elasticsearch 是一个搜索和分析引擎。
  • Logstash 是服务器端数据处理管道,能够同时从多个来源采集数据,转换数据,然后将数据发送到诸如 Elasticsearch 等“存储库”中。
  • Kibana 则可以让用户在 Elasticsearch 中使用图形和图表对数据进行可视化。

安装kibana

下载:https://www.elastic.co/cn/downloads/past-releases#kibana

注意:需要下载与ElasticSearch相同版本的Kibana,由于我的elasticsearch版本为7.4.2,所以选择7.4.2版本的kibana进行下载

无wget命令时请使用yum安装wget:yum install wget -y

eg:wget https://artifacts.elastic.co/downloads/kibana/kibana-7.4.2-linux-x86_64.tar.gz

解压:

tar -zxvf kibana-7.4.2-linux-x86_64.tar.gz
cd kibana-7.4.2-linux-x86_64/

修改配置文件/config/kibana.yml:

# Kibana is served by a back end server. This setting specifies the port to use.
server.port: 5601  #默认暴露kibana端口号
 
# 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.
server.host: 192.168.21.131 #设置kibana对外远程访问IP
 
 
# 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
 
# The maximum payload size in bytes for incoming server requests.
#server.maxPayloadBytes: 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.
elasticsearch.hosts: ["http://192.168.21.131:9200"]
 
# When this setting's value is true Kibana uses the hostname specified in the server.host
# setting. When the value of this setting is false, Kibana uses the hostname of the host
# that connects to this Kibana instance.
#elasticsearch.preserveHost: true
 
# 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.
#elasticsearch.username: "kibana"
#elasticsearch.password: "pass"
 
# 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 validate that your Elasticsearch backend uses the same key files.
#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
 
# Time in milliseconds to wait for Elasticsearch at Kibana startup before retrying.
#elasticsearch.startupTimeout: 5000
 
# 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: /var/run/kibana.pid
 
# Enables you 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 .
i18n.locale: "zh-CN"

server.host: IP #对外暴露kibana服务地址,以便可远程访问kibana elasticsearch.hosts: ElasticsearchIP:9200 #配置elasticsearch服务地址 i18n.locale: “zh-CN” #i18n国际化汉化图形化界面

启动

cd kibana-7.4.2-linux-x86_64/bin/ #进入可执行目录
./kibana #启动kibana

访问kibana:

路径:http://ip:5601 或 http://ip:5601/app/kibana/

总览:如下图

Dev Tools界面:如下图

监控集群界面:如下图

Dejavu

Dejavu 也是一个 Elasticsearch的 Web UI 工具,其 UI界面更符合当下主流的前端页面风格,因此使用起来很方便。

项目地址:https://github.com/appbaseio/dejavu/

参考:https://blog.csdn.net/qq_36514588/article/details/89452573 https://www.cnblogs.com/liugp/p/11254028.html https://blog.csdn.net/qq_36326332/article/details/107113154 https://zhuanlan.zhihu.com/p/105355487

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