实现logstash6.4.3 同步mysql数据到Elasticsearch6.4.3

本文旨在实践把mysql已有的数据同步到elasticsearch中，使用的版本是6.4.3，对于其它6.x版本理应是一样的处理方式。

本文目录：

• 1.初始化Elasticsearch 6.4.3
• 1.1 下载Elasticsearch 6.4.3
• 1.2 配置Elasticsearch 6.4.3
• 2.初始化kibana-6.4.3
• 2.1. 下载
• 2.2. 配置
• 2.3. 启动
• 3.初始化logstash 6.4.3
• 3.1 下载logstash 6.4.3
• 3.2 配置logstash

本文3.2节所用到的jdbc连接mysql数据库相关的配置文件、jar包打包下载地址：点我去下载

用到的mysql-jdbc版本是：mysql-connector-java-8.0.13

mysql-server数据库版本是5.7

1.初始化Elasticsearch 6.4.3

1.1 下载Elasticsearch 6.4.3

这里使用最新的6.4.3版本，只是做一个实践，稳定性还不清楚，不建议在生产环境直接使用最新版。

下载地址：https://www.elastic.co/downloads/elasticsearch

1.2 配置Elasticsearch 6.4.3

这里用单机搭建三个节点模拟集群（生产环境还是一机一节点，不要省，数据安全最重要）：

解压elasticsearch-6.4.3.zip，并额外拷贝两份，三个目录分别命名为elasticsearch-6.4.3-node1、elasticsearch-6.4.3-node2、elasticsearch-6.4.3-node3模拟三个节点。然后分别修改解压目录里面config/elasticsearch.yml配置如下：

node1配置：

# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: es
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
#

# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.1.222
#
# Set a custom port for HTTP:
#
http.port: 9210
transport.tcp.port: 9310
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
discovery.zen.ping.unicast.hosts: ["192.168.1.222:9310", "192.168.1.222:9311", "192.168.1.222:9312"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):

discovery.zen.minimum_master_nodes: 2

# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
action.destructive_requires_name: true

node2配置跟上面差不多，不一样的是node节点名、http端口以及transport.tcp的端口

node2配置：

# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: es
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-2

# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.1.222
#
# Set a custom port for HTTP:
#
http.port: 9211
transport.tcp.port: 9311
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
discovery.zen.ping.unicast.hosts: ["192.168.1.222:9310", "192.168.1.222:9311", "192.168.1.222:9312"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):

discovery.zen.minimum_master_nodes: 2

# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
action.destructive_requires_name: true

node3配置：

# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: es
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-3

# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.1.222
#
# Set a custom port for HTTP:
#
http.port: 9212
transport.tcp.port: 9312
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
discovery.zen.ping.unicast.hosts: ["192.168.1.222:9310", "192.168.1.222:9311", "192.168.1.222:9312"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):

discovery.zen.minimum_master_nodes: 2

# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
action.destructive_requires_name: true

然后分别进入bin目录执行elasticsearch.bat启动相应的节点服务。

2.初始化kibana-6.4.3

2.1. 下载

kibana 6.4.3版本下载地址：https://www.elastic.co/downloads/kibana

下载zip版后解压

2.2. 配置

修改解压目录的config文件夹里面的kibana.yml配置文件，配置elasticsearch的url地址（其它的配置项根据需要自行修改）：

# Kibana is served by a back end server. This setting specifies the port to use.
server.port: 5601

# 配置elasticsearch的地址
elasticsearch.url: "http://192.168.1.222:9210"

2.3. 启动

进入bin目录，执行kibana.bat 批处理文件启动kibana，

我们在左侧的Dev Tools开发工具输入查询集群状态的命令：GET /_cluster/state

可以看到集群的三个节点都正常运行中。

3.初始化logstash 6.4.3

3.1 下载logstash 6.4.3

logstash 6.4.3下载地址：https://www.elastic.co/downloads/logstash

解压下载后的zip文件

3.2 配置logstash

• 1.解压logstash-6.4.3
• 2.修改logstash-6.4.3目录下的Gemfile文件，将source由默认的"https://rubygems.org"改为："https://gems.ruby-china.com"
• 3.进入logstash-6.4.3的bin目录，执行logstash-plugin install logstash-input-jdbc
  
  出现如下信息表示安装成功。
  
  
• 4.在bin目录新建mysql文件夹，把mysql-connector-java-8.0.13.jar放到此文件夹
• 5.在mysql文件夹新建文件：jdbc.sql，输入以下内容并保存：select * from news
  
  要注意：这里的内容就是logstash依赖执行的sql命令，所以这里的表名要跟你实际的数据库表名一致，否则会失败
• 6.修改logstash文件夹下config\logstash.conf文件，*（如果不存在，创建一个文件，文件编码为UTF-8）*改成如下配置(jdbc的url需要带时区信息，否则同步会出错，无法读取数据):
  
  注意：以下配置内容，数据库连接相关的内容如数据库名字、用户名密码等需要修改为你当前环境相应的内容

input {
    stdin {
    }
    jdbc {
      # mysql jdbc connection 连接地址
      jdbc_connection_string => "jdbc:mysql://192.168.1.212:3306/my_db?serverTimezone=Asia/Shanghai&useSSL=true&useUnicode=true&characterEncoding=UTF-8"
      # 登录数据库的用户名、密码
      jdbc_user => "root"
      jdbc_password => "123456"
      # jdbc 驱动包路径（我们在步骤4处理的内容）
      jdbc_driver_library => "mysql\mysql-connector-java-8.0.13.jar"
      # 连接驱动类名
      jdbc_driver_class => "com.mysql.cj.jdbc.Driver"
      jdbc_paging_enabled => "true"
      jdbc_page_size => "50000"
      statement_filepath => "mysql\jdbc.sql"
      # 以下表示定时执行任务，使用cron表达式，本文只全量同步一次，所以不配置定时器，如果要实现增量更新，需要配合定时器以及上次查询的最后一个值，具体要根据你的业务来定。
      #schedule => "* * * * *"
      type => "jdbc"
    }
}
filter {
    json {
        source => "message"
        remove_field => ["message"]
    }
}
output {
    elasticsearch {
        hosts => ["192.168.1.212:9210"]
        index => "mynews"
        document_id => "%{id}"
    }
    stdout {
        codec => json_lines
    }
}

• 7.进入bin目录，执行如下命令
  
  logstash.bat -f ../config/logstash.conf
  
  出现如下界面表示成功在同步数据了：
  
  

通过kibana查看下数据：OK，同步过来39W+ 记录数据了。