es（Elasticsearch）客户端Kibana安装使用（03Kibana安装篇）

es（Elasticsearch）客户端Kibana安装使用（03Kibana安装篇）
介紹

Kibana是一个开源的分析与可视化平台，设计出来用于和Elasticsearch一起使用的。你可以用kibana搜索、查看存放在Elasticsearch中的数据。Kibana与Elasticsearch的交互方式是各种不同的图表、表格、地图等，直观的展示数据，从而达到高级的数据分析与可视化的目的。
Elasticsearch、Logstash和Kibana这三个技术就是我们常说的ELK技术栈，可以说这三个技术的组合是大数据领域中一个很巧妙的设计。一种很典型的MVC思想，模型持久层，视图层和控制层。Logstash担任控制层的角色，负责搜集和过滤数据。Elasticsearch担任数据持久层的角色，负责储存数据。而我们这章的主题Kibana担任视图层角色，拥有各种维度的查询和分析，并使用图形化的界面展示存放在Elasticsearch中的数据。

版本声明

CenOS：7 阿里云服务器关闭防火墙；
JDK：1.8；
Elasticsearch：7.6.1；
Kibana：7.6.1；

文章推荐

es（Elasticsearch）安装使用（01es安装篇）_少年ing的博客-CSDN博客

es（Elasticsearch）客户端Kibana安装使用（02Kibana安装篇）_少年ing的博客-CSDN博客

es（Elasticsearch）安装使用（03ik分词器安装篇）_少年ing的博客-CSDN博客

es（Elasticsearch）客户端Elasticsearch-head安装使用（04Elasticsearch-head安装篇）_少年ing的博客-CSDN博客

安裝

1.下载

注意：Elasticsearch和Kibana的版本需要对应。

下载地址

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

某云盘下载

链接：https://pan.baidu.com/s/10KlzfDsSTHP_s_p1CtTAvg
提取码：ta4d

2.安装

因再es安装目录所以用es用户

1)下载Kibana放之/opt目录中

2)解压kibana压缩包到es安裝目录：

tar -zxvf kibana-7.6.1-linux-x86_64.tar.gz   -C /usr/local/elasticsearch-7.6.1/

3)进入/usr/local/elasticsearch-7.6.1/kibana-7.6.1-linux-x86_64/config目录

cd config/

4）使用vim编辑器：

vim kibana.yml

   server.port: 5601
   server.host: "es的ip" # 此处不能写“localhost”，否则访问不了kibana
   elasticsearch.hosts: ["http://es的ip:9200"] #这里是elasticsearch的访问地址
```
# Kibana is served by a back end server. This setting specifies the port to use.
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.
server.host: "0.0.0.0"
 
# 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://esip: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 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
 
# 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: "en"
```
启动Kibana

1、进入kibana安装 bin目录

cd ./bin/

2、前台启动    （关闭服务关闭窗口或者ctrl+c）

./kibana

后台启动

1. nohup ./bin/kibana &

关闭服务根据端口查进行然后 kill掉

lsof -i:5601 会出多个 kill 第一

后台关闭

页面访问

ip:5601

#查询所有索引
GET /_cat/indices?v

#查询健康
GET /_cluster/health
#单机情况下是不需要设置副本分区数。调整副本分区数为0
PUT _settings
{
"index" : {
"number_of_replicas" : 0
}
}

#查询原因
GET /_cat/shards?h=index,shard,prirep,state,unassigned.reason

#返回未分配索引每个分片的详情和未分配的原因，
GET /_cluster/allocation/explain?pretty

#查看设置
GET /newsinfo/_settings
#重置分片
PUT /newsinfo/_settings
{"number_of_replicas": 0}
#重新分配
PUT /newsinfo/_settings
{"number_of_replicas": 2}

#查看分词器默认
POST _analyze
{
"analyzer": "standard",
"text": "我是中国人"
}
#ik ik_smart 最少切分算法
POST _analyze
{
"analyzer":"ik_smart",
"text":"我是中国人"
}

#ik ik_max_word 最细粒度切分算法
POST _analyze
{
"analyzer":"ik_max_word",
"text":"我是中国人"
}

#设置ik分词器
PUT school_index
{
"settings" : {
"index" : {
"analysis.analyzer.default.type": "ik_max_word"
}
}
}

问题

问题1.报错 listen EADDRNOTAVAIL: address not available

解决因为是用的阿里运服务器

因为用的是云虚拟机，所以这里的123.57.251.57是外网ip，我们应该用内网ip才行。
但是如果写localhost的话，虽然不会报错，5601端口也是正常启动，但是你访问5601端口会被拒绝。

把server.host改为0.0.0.0就能启动和顺利访问到了。

参照运行/bin/kibana报错FATAL Error: listen EADDRNOTAVAIL 123.57.251.57:5601 - yjssjm - 博客园

2.外网访问记得打开阿里云安全组

3.重启kibana 会把es服务停止不知道为啥

kibana使用

包括ik分词器使用

#查询所有索引
GET /_cat/indices?v

#创建索引
PUT user
{
      "mappings" : {
      "properties" : {
        "age" : {
          "type" : "integer"
        },

        "name" : {
          "type" : "text"
        },
         "name2" : {
          "type" : "keyword"
        },
           "name3" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "hobby" : {
          "type" : "text"
        }
      }
    }
}

#查询索引类型
GET user/_mapping

#查询索引下所有文档
GET user/_search

#添加文档
PUT user/_doc/1
{
   "age": 18,
   "name": "张三风",
   "name2": "张三风",
   "name3": "张三风",
   "hobby": "爱吃饭，爱钓鱼"
}

PUT user/_doc/2
{
   "age": 18,
   "name": "张三",
   "name2": "张三",
   "name3": "张三",
   "hobby": "爱吃饭，爱钓鱼，爱祖国"
}

#按条件查询类型 keyword查询时条件只能全匹配    text全文索引查询，查询时会先分词，然后用分词去匹配查询
#keyword+text类型，一个字段两种类型，可以全匹配，也可以全文索引查询
# keyword
GET user/_search
{
"query": {
   "term": {
     "name2": {
       "value": "张三"
     }
   }
}
}

# text 使用match
GET user/_search
{
"query": {
   "match": {
     "name": "张三"
   }
}
}
#keyword+text查询例子，name3(text+keyword)的查询。
GET user/_search
{
"query": {
   "term": {
     "name3.keyword": {
        "value":"张三"

     }
   }
}
}
#keyword+text查询例子当想用全文索引查询时，用match
GET user/_search
{
"query": {
   "match": {
     "name3": "张三"
   }
}
}

#查看默认分词器
POST _analyze
{
"analyzer": "standard",
"text": "爱祖国"
}
#ik ik_smart 最少切分算法
POST _analyze
{
    "analyzer":"ik_smart",
    "text":"爱祖国"
}

#ik ik_max_word 最细粒度切分算法
POST _analyze
{
    "analyzer":"ik_max_word",
    "text":"爱祖国"
}

#创建索引的时候，text类型如果没指定使用分词器，就会默认内置的分词器，所以使用ik分词器时，创建索引时需要指定。
PUT user2
{
      "mappings" : {
      "properties" : {
        "age" : {
          "type" : "integer"
        },

        "name" : {
          "type" : "text",
          "analyzer": "ik_max_word",
         "search_analyzer" : "ik_max_word"

        },
         "name2" : {
          "type" : "keyword"
        },
           "name3" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
            "type" : "keyword",
            "ignore_above" : 256
            }
          },
          "analyzer": "ik_max_word",
          "search_analyzer": "ik_max_word"
        },
        "hobby" : {
          "type" : "text",
          "analyzer": "ik_max_word",
         "search_analyzer" : "ik_max_word"
        }
      }
    }
}

#把user的数据复制到user2。
POST _reindex
{
"source":{
    "index":"user"
},
"dest":{

    "index":"user2"
}
}
#次查询user “爱祖国”，得到2数据因采用默认分词器。
GET user/_search
{
"query": {
   "match": {
     "hobby": "爱祖国"
   }
}
}

#再次查询user2 “爱祖国”，得到一条想要的数据，没有多余数据。证明ik分词在索引中生效了。
GET user2/_search
{
"query": {
   "match": {
     "hobby": "爱祖国"
   }
}
}

#查询健康
GET /_cluster/health
#单机情况下是不需要设置副本分区数。调整副本分区数为0
PUT _settings
{
    "index" : {
        "number_of_replicas" : 0
    }
}

#查询原因
GET /_cat/shards?h=index,shard,prirep,state,unassigned.reason

#返回未分配索引每个分片的详情和未分配的原因，
GET /_cluster/allocation/explain?pretty

#查看设置
GET /newsinfo/_settings
#重置分片
PUT /newsinfo/_settings
{"number_of_replicas": 0}
#重新分配
PUT /newsinfo/_settings
{"number_of_replicas": 2}

#查看分词器默认
POST _analyze
{
"analyzer": "standard",
"text": "我是中国人"
}
#ik ik_smart 最少切分算法
POST _analyze
{
    "analyzer":"ik_smart",
    "text":"我是中国人"
}

#ik ik_max_word 最细粒度切分算法
POST _analyze
{
    "analyzer":"ik_max_word",
    "text":"中华人民共和国"
}

#设置ik分词器
PUT school_index
{
"settings" : {
"index" : {
"analysis.analyzer.default.type": "ik_max_word"
    }
}
}

参照

CentOS7下安装ElasticSearch7.6.1详细教程(单机、集群搭建)_@来杯咖啡的博客-CSDN博客_centos7安装elasticsearch

Kibana是什么，干什么用？详细入门教程_qiandeqiande的博客-CSDN博客_kibanak

Elasticsearch使用系列-ES增删查改基本操作+ik分词 - 包子wxl - 博客园
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原文地址：https://blog.csdn.net/weixin_35815479/article/details/126195447

介紹

版本声明

文章推荐

安裝

1.下载

2.安装

启动Kibana

问题

kibana使用