使用 logstash 处理删除场景的增量索引

Question

每当插入或更新新行时，我都使用下面的 Logstash 配置进行增量索引我能够从 MSSQL 服务器获取这些特定行并将其作为文档插入到 elasticsearch 中，但挑战在于删除操作.

Logstash 配置文件

input {
jdbc {
jdbc_driver_library => ""
jdbc_driver_class => "com.microsoft.sqlserver.jdbc.SQLServerDriver"
jdbc_connection_string => "jdbc:sqlserver://xxxxx;databaseName=xxxx;"
jdbc_user => "xxxx"
jdbc_paging_enabled => true
tracking_column => modified_date
tracking_column_type => "timestamp"
use_column_value => true
jdbc_password => "xxxx"
clean_run => true
schedule => "*/1 * * * *"
statement => "Select * from [dbo].[xxxx] where modified_date >:sql_last_value"
}
}

filter {
 mutate {
   remove_field => ["@version","@timestamp"]
 }
}

output {
elasticsearch {
hosts => "xxxxx"
user => "xxxxx"
password => "xxxxx"
index => "xxxxx"
document_type => "_doc"
document_id => "%{id}"

}
stdout { codec => rubydebug }
}

如何使用 Logstash 使用增量索引方法删除在 MSSQL 服务器中被删除的文档。我不知道如何处理特别是删除操作。

任何人都可以建议如何实现这一目标吗？

Answer 1

大家好，我可以使用以下代码处理插入、更新和删除操作。这可能对正在尝试相同的人有所帮助

input {
jdbc {
jdbc_driver_library => ""
jdbc_driver_class => "com.microsoft.sqlserver.jdbc.SQLServerDriver"
jdbc_connection_string => "jdbc:sqlserver://xxxxx:1433;databaseName=xxxxx;"
jdbc_user => "xxxxx"
jdbc_paging_enabled => true
tracking_column => modified_date
tracking_column_type => "timestamp"
use_column_value => true
jdbc_password => "xxxxx"
clean_run => true
schedule => "*/1 * * * *"
statement => "Select * from [dbo].[xxxx] where modified_date >:sql_last_value"
}
}

filter {
if [is_deleted] {
        mutate {    
            add_field => {
                "[@metadata][elasticsearch_action]" => "delete"
            }
        }
        mutate {
            remove_field => [ "is_deleted","@version","@timestamp" ]
        }
    } else {
        mutate {    
            add_field => {
                "[@metadata][elasticsearch_action]" => "index"
            }
        }
        mutate {
            remove_field => [ "is_deleted","@version","@timestamp" ]
        }
    } 
}

output {
elasticsearch {
hosts => "xxxxx"
user => "elastic"
password => "xxxxx"
index => "xxxxx"
action => "%{[@metadata][elasticsearch_action]}"
document_type => "_doc"
document_id => "%{id}"

}
stdout { codec => rubydebug }
}

感谢所有人，特别是克劳迪奥 M

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