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。

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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

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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

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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/

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

cd config/

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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

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# 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

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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

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后台关闭

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页面访问
ip:5601

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#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"
}
#ikik_smart 最少切分算法
POST _analyze
{
"analyzer":"ik_smart",
"text":"我是中国人"
}
#ikik_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
【elasticsearch|es（Elasticsearch）客户端Kibana安装使用（02Kibana安装篇）】
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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"
}
#ikik_smart 最少切分算法
POST _analyze
{
"analyzer":"ik_smart",
"text":"爱祖国"
}
#ikik_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"
}
#ikik_smart 最少切分算法
POST _analyze
{
"analyzer":"ik_smart",
"text":"我是中国人"
}
#ikik_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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