elasticsearch - 在Logstash ElasticSearch中将_Id设置为更新键

Question

我的索引如下:

{
"_index": "mydata",
"_type": "_doc",
"_id": "PuhnbG0B1IIlyY9-ArdR",
"_score": 1,
"_source": {
"age": 9,
"@version": "1",
"updated_on": "2019-01-01T00:00:00.000Z",
"id": 4,
"name": "Emma",
"@timestamp": "2019-09-26T07:09:11.947Z"
}

因此，我用于更新数据的logstash conf输入为{

    jdbc {
        jdbc_connection_string => "***"
        jdbc_driver_class =>  "***"
    jdbc_driver_library => "***"
        jdbc_user => ***
        statement => "SELECT * from agedata WHERE updated_on > :sql_last_value ORDER BY updated_on"
    use_column_value =>true
        tracking_column =>updated_on
        tracking_column_type => "timestamp"
    }
}
output {
          elasticsearch { hosts => ["localhost:9200"] 
        index => "mydata" 
        action => update
            document_id => "{_id}"
            doc_as_upsert =>true}
          stdout { codec => rubydebug }
       }

因此，当我在同一行中进行任何更新后运行此命令时，我的预期输出是为该行中进行的任何更改更新现有的_id值。
但是我的Elasticsearch将其索引为新行，其中我的_id被视为字符串。

"_index": "agesep",
"_type": "_doc",
"_id": ***"%{_id}"***

当我使用document_id =>“％{id}”时，将出现重复项:
实际:

         {
"_index": "mydata",
"_type": "_doc",
"_id": "BuilbG0B1IIlyY9-4P7t",
"_score": 1,
"_source": {
"id": 1,
"age": 13,
"name": "Greg",
"updated_on": "2019-09-26T08:11:00.000Z",
"@timestamp": "2019-09-26T08:17:52.974Z",
"@version": "1"
}
}

重复:

{
"_index": "mydata",
"_type": "_doc",
"_id": "1",
"_score": 1,
"_source": {
"age": 56,
"@version": "1",
"id": 1,
"name": "Greg",
"updated_on": "2019-09-26T08:18:00.000Z",
"@timestamp": "2019-09-26T08:20:14.561Z"
}

如何在ES中进行更新时考虑现有的_id而不创建重复的值？
我的期望是基于_id更新索引中的数据，而不创建新的更新行。

Answer 1

我建议使用id而不是_id

        document_id => "%{id}"