elk 实现mysql和elasticsearch 数据同步

1、安装elasticsearch

先要安装jdk8 （配置jdk8的环境变量）

下载地址：

https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.5.1-linux-x86_64.tar.gz

tar  -zxvf elasticsearch-7.5.1-linux-x86_64.tar.gz 解压

修改配置文件：

# ======================== 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: myes 
#
# ------------------------------------ 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: /path/to/data
#
# Path to log files:
#
path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
bootstrap.memory_lock: false
bootstrap.system_call_filter: false
#
# 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 -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.0.117
xpack.ml.enabled: false
#
# Set a custom port for HTTP:
#
http.port: 9200
transport.tcp.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"]
#
# 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.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true

cluster.name: myes 这个是集群节点的名称
node.name: node-1 节点的名称
path.data: /path/to/data  数据存储的位置
path.logs: /path/to/logs 日志

bootstrap.memory_lock: false
bootstrap.system_call_filter: false

network.host: 192.168.0.117 这个是服务器的地址
xpack.ml.enabled: false

http.port: 9200 这个是http访问的地址就是页面访问的地址
transport.tcp.port: 9300 这个是连接时的端口 就是代码连接时候用的

cluster.initial_master_nodes: ["node-1"] 指定master 节点

vi /etc/sysctl.conf
添加

vm.max_map_count=655360
保存后执行
sysctl -p

vi /etc/security/limits.conf
在最后一行加入下面的代码
* hard nofile 131072
* soft nofile 65536
* soft nproc 4096
* hard nproc 4096

执行时可能会遇到的错误

JVM is using the client VM [Java HotSpot(TM) Client VM] but should be using a server VM for the best performance JVM正在使用客户机VM [Java HotSpot(TM)客户机VM]，但是为了获得最佳性能，应该使用服务器VM

如果有这个错

将VM设置成 Server VM： 找到 jre安装目录 /lib /i386 /jvm.cfg 文件，JVM默认是client版本 ：如图所示，第一行和第二行互换位置即可，谁在上面就是谁。目前是Server VM

 

进入 es的 bin 目录下执行./elasticsearch -d 后台 启动

下载kibana
https://artifacts.elastic.co/downloads/kibana/kibana-7.5.1-linux-x86_64.tar.gz
进入kibana下面的config目录kibana.yml这个文件

server.port: 5601
server.host: "192.168.0.117" 这个是当前机器的ip
elasticsearch.hosts: ["http://192.168.0.117:9200"] 这个是es的址

kibana不支付root用户启动所以要新建用户来启动

groupadd es  创建分组
useradd liuchao -g es -p 123456 创建用户并指定分组
chown -R liuchao:es elasticsearch 将es的目录整个授权
 chown -R liuchao:es kibana  将 kibana的目录整个授权给新建用户
 su liuchao 切换用户

nohup ../bin/kibana &  后台启动 kibana

logstash的安装配置
下载地址：
https://artifacts.elastic.co/downloads/logstash/logstash-7.5.1.tar.gz
直接解压
进入bin 目录下面

vim /usr/local/logstash-5.5.2/bin/mysqltoes.conf

input {

stdin { }

jdbc {

#需要同步的数据库

jdbc_connection_string => "jdbc:mysql://192.168.0.23:3306/demo"

jdbc_user => "root"

jdbc_password => "123456"

#本地jar包

jdbc_driver_library => "/usr/local/es/mysql-connector-java-3.1.12-bin.jar"

jdbc_driver_class => "com.mysql.jdbc.Driver"

jdbc_paging_enabled => "true"

jdbc_page_size => "50000"

#获取到记录的SQL查询语句

statement => "SELECT * FROM user"

#定时字段 各字段含义（由左至右）分、时、天、月、年，全部为*默认含义为每分钟都更新

schedule => "* * * * *"

}

}

output {

stdout {

codec => json_lines

}

elasticsearch {

#ESIP地址与端口

hosts => ["192.168.0.117:9200"]

#ES索引名称（自己定义的）

index => "logdemo"

#文档类型

document_type => "user"

#文档类型id，%{userid}意思是取查询出来的userid的值，并将其映射到es中_id字段中

document_id => "%{id}"

}

}

启动：./logstash -f mysqltoes.conf