MySQL数据以全量和增量方式，向ElasticSearch搜索引擎同步流程

一、配置详解

场景描述：MySQL数据表以全量和增量的方式向ElasticSearch搜索引擎同步。

1、下载内容

• elasticsearch 版本 6.3.2
• logstash 版本 6.3.2
• mysql-connector-java-5.1.13.jar

2、核心配置

路径：/usr/local/logstash

新建配置目录：sync-config

1)、配置全文

/usr/local/logstash/sync-config/cicadaes.conf

input {
 stdin {}
 jdbc {
 jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/cicada?characterEncoding=utf8"
 jdbc_user => "root"
 jdbc_password => "root123"
 jdbc_driver_library => "/usr/local/logstash/sync-config/mysql-connector-java-5.1.13.jar"
 jdbc_driver_class => "com.mysql.jdbc.Driver"
 jdbc_paging_enabled => "true"
 jdbc_page_size => "50000"
 jdbc_default_timezone => "Asia/Shanghai"
 statement_filepath => "/usr/local/logstash/sync-config/user_sql.sql"
 schedule => "* * * * *"
 type => "User"
 lowercase_column_names => false
 record_last_run => true
 use_column_value => true
 tracking_column => "updateTime"
 tracking_column_type => "timestamp"
 last_run_metadata_path => "/usr/local/logstash/sync-config/user_last_time"
 clean_run => false
 }
 jdbc {
 jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/cicada?characterEncoding=utf8"
 jdbc_user => "root"
 jdbc_password => "root123"
 jdbc_driver_library => "/usr/local/logstash/sync-config/mysql-connector-java-5.1.13.jar"
 jdbc_driver_class => "com.mysql.jdbc.Driver"
 jdbc_paging_enabled => "true"
 jdbc_page_size => "50000"
 jdbc_default_timezone => "Asia/Shanghai"
 statement_filepath => "/usr/local/logstash/sync-config/log_sql.sql"
 schedule => "* * * * *"
 type => "Log"
 lowercase_column_names => false
 record_last_run => true
 use_column_value => true
 tracking_column => "updateTime"
 tracking_column_type => "timestamp"
 last_run_metadata_path => "/usr/local/logstash/sync-config/log_last_time"
 clean_run => false
 }
}
filter {
 json {
 source => "message"
 remove_field => ["message"]
 }
}
output {
 if [type] == "User" {
 elasticsearch {
 hosts => ["127.0.0.1:9200"]
 index => "cicada_user_search"
 document_type => "user_search_index"
 }
 }
 if [type] == "Log" {
 elasticsearch {
 hosts => ["127.0.0.1:9200"]
 index => "cicada_log_search"
 document_type => "log_search_index"
 }
 }
}

2)、SQL文件

基于binlog，update_time字段

- user_sql.sql

SELECT
    id,
    user_name userName,
    user_phone userPhone,
    create_time createTime,
    update_time updateTime
FROM c_user
WHERE update_time > : sql_last_value

- log_sql.sql

SELECT
    id,
    param_value paramValue,
    request_ip requestIp,
    create_time createTime,
    update_time updateTime
FROM c_log
WHERE update_time > : sql_last_value

3)、配置参数说明

- input参数

statement_filepath：读取SQL语句位置
schedule ：这里配置每分钟执行一次
type ：类型，写入ES的标识
lowercase_column_names ：字段是否转小写
record_last_run ：记录上次执行时间
use_column_value ：使用列的值
tracking_column ：根据写入ES的updateTime字段区分增量数据
tracking_column_type ：区分的字段类型

- output参数

hosts ：ES服务地址
index ：Index名称，类比理解数据库名称
document_type ：Type名称，类比理解表名称

3、启动进程

/usr/local/logstash/bin/logstash 
-f 
/usr/local/logstash/sync-config/cicadaes.conf

二、ES客户端工具

1、下载软件

• kibana-6.3.2-windows-x86_64

2、修改配置

kibana-6.3.2-windows-x86_64\config\kibana.yml

添加配置：

elasticsearch.url: "http://127.0.0.1:9200"

3、双击启动

kibana-6.3.2-windows-x86_64\bin\kibana.bat

4、访问地址

http://localhost:5601
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