使用java堆栈跟踪的logstash多行编解码器

Question

我正在尝试用grok解析日志文件。我使用的配置允许我解析单行事件，但如果是多行的（使用java堆栈跟踪），则不能解析。

#what i get on KIBANA for a single line:
{
  "_index": "logstash-2015.02.05",
  "_type": "logs",
  "_id": "mluzA57TnCpH-XBRbeg",
  "_score": null,
  "_source": {
    "message": " -  2014-01-14 11:09:35,962 [main] INFO  (api.batch.ThreadPoolWorker)   user.country=US",
    "@version": "1",
    "@timestamp": "2015-02-05T09:38:21.310Z",
    "path": "/root/test2.log",
    "time": "2014-01-14 11:09:35,962",
    "main": "main",
    "loglevel": "INFO",
    "class": "api.batch.ThreadPoolWorker",
    "mydata": "  user.country=US"
  },
  "sort": [
    1423129101310,
    1423129101310
  ]
}
#what i get for a multiline with Stack trace:
  {
  "_index": "logstash-2015.02.05",
  "_type": "logs",
  "_id": "9G6LsSO-aSpsas_jOw",
  "_score": null,
  "_source": {
    "message": "tat oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:20)",
    "@version": "1",
    "@timestamp": "2015-02-05T09:38:21.380Z",
    "path": "/root/test2.log",
    "tags": [
      "_grokparsefailure"
    ]
  },
  "sort": [
    1423129101380,
    1423129101380
  ]
}

input {
  file {
    path => "/root/test2.log"
    start_position => "beginning"
    codec => multiline {
      pattern => "^ -  %{TIMESTAMP_ISO8601} "
      negate => true
      what => "previous"
    }
  }
}
filter {
 grok {
    match => [ "message", " -%{SPACE}%{SPACE}%{TIMESTAMP_ISO8601:time} [%{WORD:main}] %{LOGLEVEL:loglevel}%{SPACE}%{SPACE}(%{JAVACLASS:class}) %{GREEDYDATA:mydata} %{JAVASTACKTRACEPART}"]
  }
    date {
    match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
  }
}
output {
  elasticsearch {
    host => "194.3.227.23"
  }
 # stdout { codec => rubydebug}
}

有人能告诉我在配置文件上做错了什么吗？谢谢这是我的日志文件示例：-2014-01-14 11:09:36447〔main〕INFO（support.context.ContextFactory）创建默认上下文-2014-01-14 11:09:38623〔main〕错误（support.context.ContextFactory）获取到数据库jdbc:oracle:shin:@HAL9000:1521:DEVPRINT的连接时出错，用户为cisuser，驱动程序为oracle.jdbc.river.OracleDriverjava.sql.sql异常：ORA-28001:密码已过期位于oracle.jdbc.driver.SQLStateMapping.newSQLException（SQLStateMapping.java:70）在oracle.jdbc.driver.DatabaseError.newSQLException（DatabaseError.java:131）**

*>编辑：这是我使用的最新配置

https://gist.github.com/anonymous/9afe80ad604f9a3d3c00#file-输出-L1*

**

Answer 1

第一点，当使用文件输入重复测试时，请确保使用sincedb_path=>"/dev/null"以确保从文件的开头读取。

关于多行，您的问题内容或多行模式一定有问题，因为所有事件都没有由多行编解码器或筛选器在聚合行时添加的multiline标记。您的消息字段应包含由换行符分隔的所有行\n（\r\n在我的情况下是在windows上）。以下是您的输入配置的预期输出

{
"@timestamp" => "2015-02-10T11:03:33.298Z",
   "message" => " -  2014-01-14 11:09:35,962 [main] INFO  (api.batch.ThreadPoolWorker)   user.country=USrntat oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:20r",
  "@version" => "1",
      "tags" => [
    [0] "multiline"
],
      "host" => "localhost",
      "path" => "/root/test.file"
}

关于grok，当您想要匹配多行字符串时，应该使用这样的模式。

filter {
  grok {
    match => {"message" => [
      "(?m)^ -%{SPACE}%{TIMESTAMP_ISO8601:time} [%{WORD:main}] %   {LOGLEVEL:loglevel}%{SPACE}(%{JAVACLASS:class}) %{DATA:mydata}n%{GREEDYDATA:stack}",
      "^ -%{SPACE}%{TIMESTAMP_ISO8601:time} [%{WORD:main}] %{LOGLEVEL:loglevel}%{SPACE}(%{JAVACLASS:class}) %{GREEDYDATA:mydata}"]
}

}}

（？m）前缀指示正则表达式引擎进行多行匹配。然后你会得到像这样的事件

{
"@timestamp" => "2015-02-10T10:47:20.078Z",
   "message" => " -  2014-01-14 11:09:35,962 [main] INFO  (api.batch.ThreadPoolWorker)   user.country=USrntat oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:20r",
  "@version" => "1",
      "tags" => [
    [0] "multiline"
],
      "host" => "localhost",
      "path" => "/root/test.file",
      "time" => "2014-01-14 11:09:35,962",
      "main" => "main",
  "loglevel" => "INFO",
     "class" => "api.batch.ThreadPoolWorker",
    "mydata" => "  user.country=USr",
     "stack" => "tat oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:20r"
}

您可以使用此在线工具构建和验证多行阵列http://grokconstructor.appspot.com/do/match

最后一个警告是，使用多行编解码器输入的Logstash文件中目前存在一个错误，如果在路径设置中使用列表或通配符，则会混淆多个文件中的内容。唯一的解决方法是使用多行过滤器

HTH-

编辑：我关注的是多行字符串，您需要为非单行字符串