elasticsearch - 使用或不使用Logstash过滤Filebeat输入

Question

在当前设置中，我们使用Filebeat将日志发送到Elasticsearch实例。应用程序日志为JSON格式，并且在AWS中运行。

由于某种原因，AWS决定在新平台版本中为日志行添加前缀，现在日志解析不起作用。

Apr 17 06:33:32 ip-172-31-35-113 web: {"@timestamp":"2020-04-17T06:33:32.691Z","@version":"1","message":"Tomcat started on port(s): 5000 (http) with context path ''","logger_name":"org.springframework.boot.web.embedded.tomcat.TomcatWebServer","thread_name":"main","level":"INFO","level_value":20000}

在此之前:

{"@timestamp":"2020-04-17T06:33:32.691Z","@version":"1","message":"Tomcat started on port(s): 5000 (http) with context path ''","logger_name":"org.springframework.boot.web.embedded.tomcat.TomcatWebServer","thread_name":"main","level":"INFO","level_value":20000}

问题是我们是否可以避免使用Logstash将日志行转换为旧格式？如果没有，如何删除前缀？哪个过滤器是最佳选择？

我当前的Filebeat配置如下所示:

 filebeat.inputs:
  - type: log
    paths:
    - /var/log/web-1.log
    json.keys_under_root: true
    json.ignore_decoding_error: true
    json.overwrite_keys: true
    fields_under_root: true
    fields:
      environment: ${ENV_NAME:not_set}
      app: myapp

  cloud.id: "${ELASTIC_CLOUD_ID:not_set}"
  cloud.auth: "${ELASTIC_CLOUD_AUTH:not_set}"

Answer 1

我会尝试利用 dissect 和 decode_json_fields 处理器:

processors:
  # first ignore the preamble and only keep the JSON data
  - dissect:
      tokenizer: "%{?ignore} %{+ignore} %{+ignore} %{+ignore} %{+ignore}: %{json}"
      field: "message"
      target_prefix: ""

  # then parse the JSON data
  - decode_json_fields:
      fields: ["json"]
      process_array: false
      max_depth: 1
      target: ""
      overwrite_keys: false
      add_error_key: true