linux arm64 安装 ELK-Toy模板网

这篇具有很好参考价值的文章主要介绍了linux arm64 安装 ELK。希望对大家有所帮助。如果存在错误或未考虑完全的地方，请大家不吝赐教，您也可以点击"举报违法"按钮提交疑问。

linux arm64 安装 ELK

前言：本篇文章主要介绍如何在 linux 环境下安装 ELK 栈，包括 es、kibana 和 logstash

1. 安装elasticsearch

1.1 下载es linux aarch64 rpm 包

运行命令
rpm -ivh elasticsearch-7.17.4-aarch64.rpm

1.2 创建 es 数据和日志目录

mkdir /home/elasticsearch  
mkdir /home/elasticsearch/data  
mkdir /home/elasticsearch/logs

1.3 对数据和日志目录授权

chown elasticsearch:elasticsearch -R /home/elasticsearch  
chown elasticsearch:elasticsearch -R /home/elasticsearch/data/     
chown elasticsearch:elasticsearch -R /home/elasticsearch/logs/

1.4 修改 es 配置文件

vi /etc/elasticsearch/elasticsearch.yml

cluster.name: "my-application"  
node.name: node-1   
path.data: /home/elasticsearch/data          # 数据目录，需要赋予权限，否则报错   
path.logs: /home/elasticsearch/logs          # 存储目录，需要赋予权限，否则报错   
network.host: "localhost"                      # 访问地址   
cluster.initial_master_nodes: ["node-1"]

完整配置文件

# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
#       Before you set out to tweak and tune the configuration, make sure you
#       understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: my-application
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
path.data: /home/es/elasticsearch/data
# Path to log files:
path.logs: /home/es/elasticsearch/logs

# 备份路径
# path.repo: 'D:/ElasticSearch/backup'
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# By default Elasticsearch is only accessible on localhost. Set a different
# address here to expose this node on the network:
#
#network.host: 0.0.0.0
# 当前节点的IP地址，任意IP
network.host: 0.0.0.0
#
# By default Elasticsearch listens for HTTP traffic on the first free port it
# finds starting at 9200. Set a specific HTTP port here:
#
#http.port: 9200
http.port: 9200
transport.port: 9300 
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when this node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.seed_hosts: ["host1", "host2"]
# 集群中的节点可以相互发现并选举一个主节点
discovery.seed_hosts: ["localhost"]
#
#
# Bootstrap the cluster using an initial set of master-eligible nodes:
#
cluster.initial_master_nodes: ["node-1"]
#
# For more information, consult the discovery and cluster formation module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true
# 允许跨域
http.cors.enabled: true
http.cors.allow-origin: "*"
# 安全设置
# xpack.security.enabled: true
#
# ---------------------------------- Security ----------------------------------
#
#                                 *** WARNING ***
#
# Elasticsearch security features are not enabled by default.
# These features are free, but require configuration changes to enable them.
# This means that users don’t have to provide credentials and can get full access
# to the cluster. Network connections are also not encrypted.
#
# To protect your data, we strongly encourage you to enable the Elasticsearch security features. 
# Refer to the following documentation for instructions.
#
# https://www.elastic.co/guide/en/elasticsearch/reference/7.16/configuring-stack-security.html

1.5 设置开机启动

systemctl enable elasticsearch

1.6 启动、停止、查看状态命令

systemctl start elasticsearch    # 启动    
systemctl stop elasticsearch     # 停止    
systemctl status elasticsearch   # 查看状态

1.7 配置IK分词器

IK Analysis for Elasticsearch
=============================

The IK Analysis plugin integrates Lucene IK analyzer (http://code.google.com/p/ik-analyzer/) into elasticsearch,
support customized dictionary.

Analyzer: `ik_smart` , `ik_max_word` , Tokenizer: `ik_smart` , `ik_max_word`

Versions
--------

1.7.1 Ik 版本与 ES版本

IK version	ES version
master	7.x -> master
6.x	6.x
5.x	5.x
1.10.6	2.4.6
1.9.5	2.3.5
1.8.1	2.2.1
1.7.0	2.1.1
1.5.0	2.0.0
1.2.6	1.0.0
1.2.5	0.90.x
1.1.3	0.20.x
1.0.0	0.16.2 -> 0.19.0

1.7.2 下载和编译

elasticsearch-analysis-ik下载地址

在es plugins创建目录ik,将ik压缩包解压到ik目录下
plugings目录：/usr/share/elasticsearch/plugins

解压命令：unzip filename.zip

* optional 1 - download pre-build package from here: https://github.com/medcl/elasticsearch-analysis-ik/releases

    create plugin folder `cd your-es-root/plugins/ && mkdir ik`
    
    unzip plugin to folder `your-es-root/plugins/ik`

* optional 2 - use elasticsearch-plugin to install ( supported from version v5.5.1 ):

    
    ./bin/elasticsearch-plugin install 
	https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.3.0/elasticsearch-analysis-ik-6.3.0.zip
    

   NOTE: replace `6.3.0` to your own elasticsearch version

1.7.3 ik操作示例

1.create a index
curl -XPUT http://localhost:9200/index


2.create a mapping
curl -XPOST http://localhost:9200/index/_mapping -H 'Content-Type:application/json' -d'
{
        "properties": {
            "content": {
                "type": "text",
                "analyzer": "ik_max_word",
                "search_analyzer": "ik_smart"
            }
        }

}'

3.index some docs

curl -XPOST http://localhost:9200/index/_create/1 -H 'Content-Type:application/json' -d'
{"content":"美国留给伊拉克的是个烂摊子吗"}
'
curl -XPOST http://localhost:9200/index/_create/2 -H 'Content-Type:application/json' -d'
{"content":"公安部：各地校车将享最高路权"}
'
curl -XPOST http://localhost:9200/index/_create/3 -H 'Content-Type:application/json' -d'
{"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}
'
curl -XPOST http://localhost:9200/index/_create/4 -H 'Content-Type:application/json' -d'
{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
'
4.query with highlighting
curl -XPOST http://localhost:9200/index/_search  -H 'Content-Type:application/json' -d'
{
    "query" : { "match" : { "content" : "中国" }},
    "highlight" : {
        "pre_tags" : ["<tag1>", "<tag2>"],
        "post_tags" : ["</tag1>", "</tag2>"],
        "fields" : {
            "content" : {}
        }
    }
}
'

Result

```json
{
    "took": 14,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
    },
    "hits": {
        "total": 2,
        "max_score": 2,
        "hits": [
            {
                "_index": "index",
                "_type": "fulltext",
                "_id": "4",
                "_score": 2,
                "_source": {
                    "content": "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
                },
                "highlight": {
                    "content": [
                        "<tag1>中国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首 "
                    ]
                }
            },
            {
                "_index": "index",
                "_type": "fulltext",
                "_id": "3",
                "_score": 2,
                "_source": {
                    "content": "中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"
                },
                "highlight": {
                    "content": [
                        "均每天扣1艘<tag1>中国</tag1>渔船 "
                    ]
                }
            }
        ]
    }
}

1.7.4 词典配置（Dictionary Configuration）

IKAnalyzer.cfg.xml can be located at {conf}/analysis-ik/config/IKAnalyzer.cfg.xml
or {plugins}/elasticsearch-analysis-ik-*/config/IKAnalyzer.cfg.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
	<comment>IK Analyzer 扩展配置</comment>
	<!--用户可以在这里配置自己的扩展字典 -->
	<entry key="ext_dict">custom/mydict.dic;custom/single_word_low_freq.dic</entry>
	 <!--用户可以在这里配置自己的扩展停止词字典-->
	<entry key="ext_stopwords">custom/ext_stopword.dic</entry>
 	<!--用户可以在这里配置远程扩展字典 -->
	<entry key="remote_ext_dict">location</entry>
 	<!--用户可以在这里配置远程扩展停止词字典-->
	<entry key="remote_ext_stopwords">http://xxx.com/xxx.dic</entry>
</properties>

1.7.5 热更新 IK 分词使用方法

目前该插件支持热更新 IK 分词，通过上文在 IK 配置文件中提到的如下配置

 	<!--用户可以在这里配置远程扩展字典 -->
	<entry key="remote_ext_dict">location</entry>
 	<!--用户可以在这里配置远程扩展停止词字典-->
	<entry key="remote_ext_stopwords">location</entry>

其中 location 是指一个 url，比如 http://yoursite.com/getCustomDict，该请求只需满足以下两点即可完成分词热更新。

该 http 请求需要返回两个头部(header)，一个是 Last-Modified，一个是 ETag，这两者都是字符串类型，只要有一个发生变化，该插件就会去抓取新的分词进而更新词库。
该 http 请求返回的内容格式是一行一个分词，换行符用 \n 即可。

满足上面两点要求就可以实现热更新分词了，不需要重启 ES 实例。

可以将需自动更新的热词放在一个 UTF-8 编码的 .txt 文件里，放在 nginx 或其他简易 http server 下，当 .txt 文件修改时，http server 会在客户端请求该文件时自动返回相应的 Last-Modified 和 ETag。可以另外做一个工具来从业务系统提取相关词汇，并更新这个 .txt 文件。

常见问题

1.自定义词典为什么没有生效？

请确保你的扩展词典的文本格式为 UTF8 编码

2.如何手动安装？

git clone https://github.com/medcl/elasticsearch-analysis-ik
cd elasticsearch-analysis-ik
git checkout tags/{version}
mvn clean
mvn compile
mvn package

拷贝和解压release下的文件: #{project_path}/elasticsearch-analysis-ik/target/releases/elasticsearch-analysis-ik-*.zip 到你的 elasticsearch 插件目录, 如: plugins/ik
重启elasticsearch

3.分词测试失败
请在某个索引下调用analyze接口测试,而不是直接调用analyze接口
如:

curl -XGET "http://localhost:9200/your_index/_analyze" -H 'Content-Type: application/json' -d'
{
   "text":"中华人民共和国MN","tokenizer": "my_ik"
}'

ik_max_word 和 ik_smart 什么区别?

ik_max_word: 会将文本做最细粒度的拆分，比如会将“中华人民共和国国歌”拆分为“中华人民共和国,中华人民,中华,华人,人民共和国,人民,人,民,共和国,共和,和,国国,国歌”，会穷尽各种可能的组合，适合 Term Query；

ik_smart: 会做最粗粒度的拆分，比如会将“中华人民共和国国歌”拆分为“中华人民共和国,国歌”，适合 Phrase 查询。

Changes

自 v5.0.0 起

移除名为 ik 的analyzer和tokenizer,请分别使用 ik_smart 和 ik_max_word

Thanks

YourKit supports IK Analysis for ElasticSearch project with its full-featured Java Profiler.
YourKit, LLC is the creator of innovative and intelligent tools for profiling
Java and .NET applications. Take a look at YourKit’s leading software products:
YourKit Java Profiler and
YourKit .NET Profiler.

2.安装Kibana

2.1 rpm包（不成功）

安装、运行成功，但是启动后停止，原因是系统缺少c++依赖包

wget https://artifacts.elastic.co/downloads/kibana/kibana-7.14.1-x86_64.rpm
rpm -ivh kibana-7.14.1-x86_64.rpm

2.1.1 编辑配置文件

vim /etc/kibana/kibana.yml

server.port: 5601   
server.host: "localhost"   
elasticsearch.hosts: ["http://localhost:9200"]    
i18n.locale: "zh-CN"

2.1.2 设置开机自启动

sudo systemctl daemon-reload
sudo systemctl enable kibana

2.1.3 启动、停止、查看状态命令

sudo systemctl start kibana # 启动
sudo systemctl stop kibana # 停止
sudo systemctl status kibana.service # 查看状态
sudo systemctl cat kibana

2.1.4 卸载kibana

rpm -qa|grep kibana #查看是否安装了kibaba
rpm -e package

2.2 docker 安装kibana

2.2.1 创建配置目录

mkdir /home/kibana
mkdir /home/kibana/config
mkdir /home/kibana/data
mkdir /home/kibana/plugins

2.2.2 Default Kibana configuration for docker target

修改配置文件 vim /home/kibana/config/kibana.yml

server.name: kibana 
# 服务器主机地址
server.host: "0"   
# elasticsearch 主机地址  
elasticsearch.hosts: [ "http://localhost:9200" ]    
xpack.monitoring.ui.container.elasticsearch.enabled: true   
i18n.locale: "zh-CN"

2.2.3 数据目录授权没有用

sudo chown -R elasticsearch:elasticsearch /home/kibana

2.2.4 运行 kibana

docker run -it -d --privileged --name kibana --restart=always -p 5601:5601 -v /home/kibana/config:/usr/share/kibana/config kibana:7.17.4

docker run -it -d --privileged --name kibana -p 5601:5601 \ -e ELASTICSEARCH_URL=http://172.25.18.243:9200 \ -e ELASTICSEARCH_HOSTS=http://172.25.18.243:9200 \ -e XPACK_SECURITY_ENABLED=false \ -e XPACK_MONITORING_ENABLED=true \ -e XPACK_MONITORING_UI_CONTAINER_ELASTICSEARCH_ENABLED=true \ -v /home/kibana/config:/usr/share/kibana/config kibana:7.17.4

3. 安装 logstash

3.1 rpm包

rpm -ivh logstash-7.17.4.rpm

3.2 logstash目录结构

目录	说明
/etc/logstash/logstash.yml	服务的配置文件。日志，数据目录
/etc/logstash/logstash-sample.conf	书写的logstash的配置文件
/etc/logstash/conf.d/	书写的logstash的配置文件
/etc/logstash/jvm.options	logstash jvm配置这里可以设置为512m

3.3 运行logstash报错

错误1（缺少权限）

unable to load ./jdbc-driver/postgresql-42.2.5.jre7.jar from :jdbc_driver_library, file not readable (please check user and group permissions for the path)

对jdbc-driver目录及文件进行授权
chown logstash:logstash -R /etc/logstash/conf.d

错误2(相对路径)

将jdbc驱动改为绝对路径
"jdbc_driver_library" => "/etc/logstash/conf.d/jdbc-driver/postgresql-42.5.2.jar"

3.3 logstash配置

在 /etc/logstash/conf.d/ 文件夹下新建配置文件（logstash.conf）,从官网教程(es7.17.4中已经弃用type文档类型，可以配置多个执行文件–*.conf)得知可以建立多个
.conf文件，在运行logstash时可以运行多个配置文件

# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

# logstash config
input {

	# 连接PostgreSQL
	jdbc {
      	"jdbc_driver_class" => "org.postgresql.Driver"
      	"jdbc_driver_library" => "/etc/logstash/conf.d/jdbc-driver/postgresql-42.5.2.jar"
	  
	  	# 设定自动重连
      	"jdbc_connection_string" => "jdbc:postgresql://localhost:5433/poi?autoReconnect=true&characterEncoding=utf8&useSSL=false&serverTimezone=UTC&rewriteBatchedStatements=true"
	  
	 	# 连接数据库配置
      	"jdbc_user" => "postgres"
      	"jdbc_password" => "pg123456"
	  
	  	# 时区设置
	  	# jdbc_default_timezone => "Asia/Shanghai"
	  	
	  	# 几何对象查询语句
	  	# -----------------------------------无法转换几何类型，而且必须要写上gid字段--------------------------------------------------
	  	# "statement"  => "select *, st_asgeojson(poi_geom) as geometry from poi2"
	  	# "statement"  => "select gid,name,adress,telephone,category,st_asewkt(poi_geom) as geometry from poi2"
	  	# "statement"  => "select gid,name,adress,telephone,category,st_asgeojson(poi_geom) as geom from poi2"
	  	# -----------------------------------无法转换几何类型，而且必须要写上gid字段--------------------------------------------------
	  
	 	# -----------------------------------以下方式有效-----------------------------------------------------------------------------
	  
	  	# 查询参数 
       #"parameters" => { "is_deleted" => "1"}
	  
	  	# 有效：获取经纬度坐标（String类型），需要转换经纬度类型,字符串是纬度在前，经度在后。	
	  	# "statement"  => "select id,name,address,telephone,category,concat_ws(',',st_y(geom),st_x(geom))as geometry from synchronous"
	  
	  	# 有效：获取经纬度坐标（数组类型）
	  	"statement"  => "select gid,bsm,ysdm,zjnr,bz,st_asgeojson(poi_geom)::json->>'coordinates' as location from poi"
	  
	  	# 开启追踪，如果为true,则需要指定tracking_column，用于增量同步，需是数据库字段
	  	use_column_value => true
	  	# 指定追踪的字段
	  	tracking_column => "gid"
	  
	  	# 开启分页查询
	  	"jdbc_paging_enabled" => true
	  
	  	# 文档最大查询数
	  	"jdbc_fetch_size" => "10000"

	 	# 单次分页查询数
	  	"jdbc_page_size" => "500"
	 
	  	#同步频率：每分钟执行一次
        	"schedule" => "* * * * *"
	  
	  	#处理中文乱码问题
	  	codec => plain { charset => "UTF-8"}
	  
	  	# 连接类型
	  	type => "poi"
    }
	
}

# 字段过滤
filter {
	
    json {
		# 略过无效JSON字段
		# skip_on_invalid_json => true
		# 存储json数据的字段
		source => "location"
		
		# 放置json数据的目标字段
		target => "geometry"
		
		#remove_field => ["@timestamp","@version","geom"]
		#remove_tag => ["@timestamp","@version"]
    }
	mutate { 
		#转换经纬度坐标
		#convert => {"x" => "float"}
		#convert => {"y" => "float"}
		
		# 将geometry数组转换为float类型
		#convert => {
			#"[geometry][0]" => "float"
			#"[geometry][1]" => "float"
		#}
		
		# 移除字段
        #remove_field => "@timestamp"    
        remove_field => "@version"    
    }
}
	
output {
	elasticsearch {
			hosts => ["http://localhost:9200"]
			index => "poi"	
			# 重要：需要指定唯一id
			document_id => "%{gid}"
	
			# 索引映射关系引用文件。配置为模板文件，与同步数据相对应
			# template =>"D:\ElasticSearch\logstash-7.13.4-windows-x86_64\template.json"
			# 为了更好的控制动态模板，需要将其设置为false
			# manage_template => false
		
			# 重写模板
			template_overwrite => true
	   
			# template_name => "test"
	   
			#user => "elastic"
			#password => "changeme"
	}
	stdout {
		codec =>  json_lines
	}
}

3.4 jdbc配置

https://www.elastic.co/guide/en/logstash/current/plugins-inputs-jdbc.html

配置链接

3.5 postgres-jdbc 下载

https://jdbc.postgresql.org/

下载地址文章来源地址https://www.toymoban.com/news/detail-634559.html

到了这里，关于linux arm64 安装 ELK的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！

linux arm64 安装 ELK