使用logstash和jdbc更新复杂嵌套的elasticsearch文档

Question

假设Oracle模式有以下表和列：

    Country
        country_id; (Primary Key)
        country_name;

    Department
        department_id; (Primary Key)
        department_name;
        country_id; (Foreign key to Country:country_id)

    Employee
        employee_id; (Primary Key)
        employee_name;
        department_id; (Foreign key to Department:department_id)

我有我的Elasticsearch文档，其中根元素是一个国家，它包含该国家的所有部门，而这些部门又包含各自部门的所有员工。

因此，文档结构如下所示：

    {
      "mappings": {
        "country": {
          "properties": {
            "country_id": { "type": "string"},
            "country_name": { "type": "string"},        
            "department": {
              "type": "nested",
              "properties": {
                "department_id": { "type": "string"},
                "department_name": { "type": "string"},
                "employee": {
                  "type": "nested",
                  "properties": {
                    "employee_id": { "type": "string"},
                    "employee_name": { "type": "string"}
                  }
                }
              }
            }
          }
        }
      }
    }           

我希望能够在每个表上运行单独的输入jdbc查询，并且每当基表中的数据被添加/更新/删除时，它们应该在elasticsearch文档中创建/更新/删除数据。

这是一个示例问题，实际的表和数据结构更加复杂。所以我不是在寻找仅限于此的解决方案。

有没有办法做到这一点？

谢谢

Answer 1

对于第一级，它直接使用聚合过滤器。你需要在它们之间有一个共同的id来引用。

filter {    

  aggregate {
    task_id => "%{id}"

    code => "     
      map['id'] = event.get('id')
      map['department'] ||= []
      map['department'] << event.to_hash.each do |key,value| { key => value } end    
    "
    push_previous_map_as_event => true
    timeout => 150000
    timeout_tags => ['aggregated']    
  } 

   if "aggregated" not in [tags] {
    drop {}
  }
}

重要提示：输出操作应该更新

    output {
        elasticsearch {
            action => "update"
             ...
           }
        }

解决级别2的一种方法是查询已编制索引的文档并使用嵌套记录更新它。再次使用聚合过滤器；文档应该有一个公共id，以便您可以查找并插入到正确的文档中。

filter {    
    #get the document from elastic based on id and store it in 'emp'
    elasticsearch {
            hosts => ["${ELASTICSEARCH_HOST}/${INDEX_NAME}/${INDEX_TYPE}"]
            query => "id:%{id}" 
            fields => { "employee" => "emp" }
         }



  aggregate {
    task_id => "%{id}"  
    code => "       
                map['id'] = event.get('id')
                map['employee'] = []
                employeeArr = []
                temp_emp = {}   

                event.to_hash.each do |key,value|                       
                    temp_emp[key] = value
                end     

                #push the objects into an array
                employeeArr.push(temp_emp)

                empArr = event.get('emp')                   

                for emp in empArr
                    emp['employee'] = employeeArr                       
                    map['employee'].push(emp)
                end
    "
    push_previous_map_as_event => true
    timeout => 150000
    timeout_tags => ['aggregated']

  } 

   if "aggregated" not in [tags] {
    drop {}
  } 

}

output {

elasticsearch {
        action => "update"    #important
         ...
        }
 }  

此外，为了调试ruby代码，请在输出中使用以下内容

output{
    stdout { codec => dots }
}