logstash-input-jdbc实现oracle 与elasticsearch实时同步详解

原创

铭毅天下 2022-10-18 20:48:46 ©著作权

文章标签 oracle elasticsearch 同步 jar 文章分类 OpenStack 云计算

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前言：

logstash-input-jdbc实现mysql 与elasticsearch的解读之前博文已经解析。本次只是在原有的基础上，针对oracle特性部分做解读。

目标：

实现了oracle与ES同步增、删、改、查。

logstash-input-jdbc实现oracle 与elasticsearch实时同步详解_elasticsearch

1、配置文件

[root@5b9dbaaa148a logstash_jdbc_test]# cat jdbc_oracle.conf
input {
  stdin {
  }
  jdbc {
  # oracle jdbc connection string to our backup databse
  jdbc_connection_string => "jdbc:oracle:thin:system/123456@//100.1.1.31:1521/xe" 
  # the user we wish to excute our statement as
  jdbc_user => "system"
  jdbc_password => "123456"
  # the path to our downloaded jdbc driver
  jdbc_driver_library => "/elasticsearch-jdbc-2.3.2.0/lib/ojdbc6.jar" 
oracle 
  jdbc_driver_class => "Java::oracle.jdbc.driver.OracleDriver"

  #new add  begin 2016-6-28
  record_last_run => "true"
  use_column_value => "false"
  tracking_column => "id"
  last_run_metadata_path => "/etc/logstash/run_metadata.d/my_info"
  clean_run => "false"
  #new add by end

  jdbc_paging_enabled => "true"
  jdbc_page_size => "50000"
  statement_filepath => "/usr/local/logstash/bin/logstash_jdbc_test/jdbc_oracle.sql"
  schedule => "* * * * *"
  type => "tstype"
  }
}

filter {
  json {
  source => "message"
  remove_field => ["message"]
  }
  #grok {
  #match => { "message" => "%{COMBINEDAPACHELOG}" }
  #match => { "message" => "test" }
#}
  date {
  match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
  }
}

output {
  elasticsearch {
  hosts => "10.8.5.101:9200"
  index => "tsuser"
  document_id => "%{user_id}" 
  }
  stdout {
  codec => json_lines
  }
}

[root@5b9dbaaa148a logstash_jdbc_test]# cat jdbc_oracle.sql
select
  *
from
  TS_USER