解析CSV格式日志

正常形式的CSV格式日志

• 原始日志

  _program_:error
  _severity_:6
  _priority_:14
  _facility_:1
  topic:syslog-forwarder
  content:198.51.100.1|10/Jun/2019:11:32:16 +0800|aliyundoc.com|GET /zf/11874.html HTTP/1.1|200|0.077|6404|198.51.100.10:8001|200|0.060|https://example.com/s?q=%25%24%23%40%21&from=wy878378&uc_param_str=dnntnwvepffrgibijbprsvdsei|-|Mozilla/5.0 (Linux; Android 9; HWI-AL00 Build/HUAWEIHWI-A00) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Mobile Safari/537.36|-|-

• 需求

  1. 当_program_字段值为access时，对字段content做一次PSV（pipe分隔的解析），然后丢弃content字段。

  2. 将request: GET /css/mip-base.css HTTP/1.1字段拆分为request_method、http_version以及request。

  3. http_referer做URL解码。

  4. time做格式化。

• 解决方案

  1. 如果_program_字段值是access，则通过e_psv函数解析content内容，并删除原始字段content。

     e_if(e_search("_program_==access"), e_compose(e_psv("content", "remote_addr, time_local,host,request,status,request_time,body_bytes_sent,upstream_addr,upstream_status, upstream_response_time,http_referer,http_x_forwarded_for,http_user_agent,session_id,guid", restrict=True), e_drop_fields("content")))

     返回的日志为：

     __source__:  192.168.0.1
     __tag__:__client_ip__:  192.168.0.10
     __tag__:__receive_time__:  1562845168
     __topic__:  
     _facility_:  1
     _priority_:  14
     _program_:  access
     _severity_:  6
     body_bytes_sent:  6404
     guid:  -
     host:  aliyundoc.com
     http_referer:  https://example.com/s?q=%25%24%23%40%21&from=wy878378&uc_param_str=dnntnwvepffrgibijbprsvdsei
     http_user_agent:  Mozilla/5.0 (Linux; Android 9; HWI-AL00 Build/HUAWEIHWI-AL00) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Mobile Safari/537.36
     http_x_forwarded_for:  -
     remote_addr:  192.168.0.100
     request:  GET /zf/11874.html HTTP/1.1
     request_time:  0.077
     session_id:  -
     status:  200
     time_local:  10/Jun/2019:11:32:16 +0800
     topic:  syslog-forwarder
     upstream_addr:  192.168.0.100:8001
     upstream_response_time:  0.060
     upstream_status:  200

  2. 使用e_regex函数将request字段解析成request_method、request、http_version。

     e_regex("request",r"^(?P<request_method>\w+) (?P<request>.+) (?P<http_version>\w+/[\d\.]+)$")

     返回的日志为：

     request:  /zf/11874.html
     request_method:  GET
     http_version:  HTTP/1.1

  3. 对http_referer做URL解码。

     e_set("http",url_decoding("http_referer"))

     返回的日志为：

     http: https://example.com/s?q=%$#@!&from=wy878378&uc_param_str=dnntnwvepffrgibijbprsvdsei

  4. 对时间做格式化处理。

     e_set("time_local",dt_strptime(v("time"),"%d/%b/%Y:%H:%M:%S +0800"))

     返回的日志为：

     time_local:  2019-06-13 13:45:11

  5. 综上解决方案具体如下：

     e_if(e_search("_program_==access"), e_compose(e_psv("content", "remote_addr, time_local,host,request,status,request_time,body_bytes_sent,upstream_addr,upstream_status, upstream_response_time,http_referer,http_x_forwarded_for,http_user_agent,session_id,guid", restrict=True), e_drop_fields("content")))
     e_regex("request",r"^(?P<request_method>\w+) (?P<request>.+) (?P<http_version>\w+/[\d\.]+)$")
     e_set("http",url_decoding("http_referer"))
     e_set("time_local",dt_strptime(v("time"),"%d/%b/%Y:%H:%M:%S +0800"))

• 输出的日志

  __source__:  192.168.0.1
  __tag__:__client_ip__:  192.168.0.10
  __tag__:__receive_time__:  1562840879
  __topic__:  
  _facility_:  1
  _priority_:  14
  _program_:  access
  _severity_:  6
  body_bytes_sent:  6404
  guid:  -
  host:  aliyundoc.com
  http_referer:  https://example.com/s?q=%E8%9B%8B%E8%8A%B1%E9%BE%99%E9%A1%BB%E9%9D%A2%E7%9A%84%E5%81%9A%E6%B3%95&from=wy878378&uc_param_str=dnntnwvepffrgibijbprsvdsei
  http_user_agent:  Mozilla/5.0 (Linux; Android 9; HWI-AL00 Build/HUAWEIHWI-AL00) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Mobile Safari/537.36
  http_x_forwarded_for:  -
  remote_addr:  192.168.0.100
  request:  GET /zf/11874.html HTTP/1.1
  request_time:  0.077
  session_id:  -
  status:  200
  time_local:  10/Jun/2019:11:32:16 +0800
  topic:  syslog-forwarder
  upstream_addr:  192.168.0.100:8001
  upstream_response_time:  0.060
  upstream_status:  200
  http: https://example.com/s?q=蛋花龙须面的做法&from=wy878378&uc_param_str=dnntnwvepffrgibijbprsvdsei

非正常形式的CSV格式日志