如何用多个时间戳记和行中的log-stash配置中解析/过滤此复杂的日志文件



我有以下日志文件

2017-06-13 13:00:01,494 - INFO [Line: 48]: Begin logging
2017-06-13 13:00:01,494 - DEBUG [Line: 89]: Writing to lockfile. Lockfile location: /etc/conf/the/back_up.txt
2017-06-13 13:00:03,521 - WARNING [Line: 449]: Snapshotting is not enabled
2017-06-13 13:06:15,663 - INFO [Line: 898]: stderr: 
17/06/13 13:00:13 INFO tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=true, deleteMissing=false, ignoreFailures=true,maxMaps=20, sslConfigurationFile='null', copyStrategy='uniformsize', sourceFileListing=null, sourcePaths=[/DAT/ABC], targetPath=/etc/conf/the/back_up.txt, tar getPathExists=true, preserveRawXattrs=false}
17/06/13 13:00:13 INFO impl.TimelineClientImpl: Timeline service address: http://ip-192-168-X-XX.xyz:9000/v1/example/
17/06/13 13:00:14 INFO tools.DistCp: DistCp job log path: /var/tar/xar
17/06/13 13:00:20 INFO mapreduce.JobSubmitter: number of splits:22
17/06/13 13:00:21 INFO impl.YarnClientImpl: Submitted application application_1495940390018_0989
17/06/13 13:00:21 INFO mapreduce.Job: Running job: job_1495940390018_0989 
17/06/13 13:00:29 INFO mapreduce.Job: Job job_1495940390018_0989 running in uber mode : false
17/06/13 13:00:29 INFO mapreduce.Job: map 0% reduce 0%
17/06/13 13:00:46 INFO mapreduce.Job: map 11% reduce 0%
17/06/13 13:00:47 INFO mapreduce.Job: map 17% reduce 0%
17/06/13 13:00:48 INFO mapreduce.Job: map 18% reduce 0%
17/06/13 13:00:49 INFO mapreduce.Job: map 23% reduce 0%
17/06/13 13:00:50 INFO mapreduce.Job: map 28% reduce 0%
17/06/13 13:00:51 INFO mapreduce.Job: map 29% reduce 0%
17/06/13 13:00:52 INFO mapreduce.Job: map 32% reduce 0%
17/06/13 13:00:53 INFO mapreduce.Job: map 37% reduce 0%
17/06/13 13:00:54 INFO mapreduce.Job: map 38% reduce 0%
17/06/13 13:00:55 INFO mapreduce.Job: map 41% reduce 0%
17/06/13 13:00:56 INFO mapreduce.Job: map 44% reduce 0%
17/06/13 13:00:57 INFO mapreduce.Job: map 45% reduce 0%
17/06/13 13:00:58 INFO mapreduce.Job: map 47% reduce 0%
17/06/13 13:00:59 INFO mapreduce.Job: map 48% reduce 0%
17/06/13 13:01:00 INFO mapreduce.Job: map 49% reduce 0%
17/06/13 13:01:07 INFO mapreduce.Job: map 54% reduce 0%
17/06/13 13:01:08 INFO mapreduce.Job: map 57% reduce 0%
17/06/13 13:01:10 INFO mapreduce.Job: map 59% reduce 0%
17/06/13 13:01:11 INFO mapreduce.Job: map 60% reduce 0%
17/06/13 13:01:13 INFO mapreduce.Job: map 62% reduce 0%
17/06/13 13:01:14 INFO mapreduce.Job: map 63% reduce 0%
17/06/13 13:01:15 INFO mapreduce.Job: map 64% reduce 0%
17/06/13 13:01:16 INFO mapreduce.Job: map 65% reduce 0%
17/06/13 13:01:31 INFO mapreduce.Job: map 76% reduce 0%
17/06/13 13:01:35 INFO mapreduce.Job: map 77% reduce 0%
17/06/13 13:01:39 INFO mapreduce.Job: map 78% reduce 0%
17/06/13 13:01:44 INFO mapreduce.Job: map 79% reduce 0%
17/06/13 13:01:48 INFO mapreduce.Job: map 80% reduce 0%
17/06/13 13:01:52 INFO mapreduce.Job: map 81% reduce 0%
17/06/13 13:01:55 INFO mapreduce.Job: map 82% reduce 0%
17/06/13 13:01:58 INFO mapreduce.Job: map 83% reduce 0%
17/06/13 13:02:01 INFO mapreduce.Job: map 84% reduce 0%
17/06/13 13:02:06 INFO mapreduce.Job: map 85% reduce 0%
17/06/13 13:02:09 INFO mapreduce.Job: map 86% reduce 0%
17/06/13 13:02:12 INFO mapreduce.Job: map 87% reduce 0%
17/06/13 13:02:16 INFO mapreduce.Job: map 88% reduce 0%
17/06/13 13:02:18 INFO mapreduce.Job: map 89% reduce 0%
17/06/13 13:02:23 INFO mapreduce.Job: map 90% reduce 0%
17/06/13 13:02:28 INFO mapreduce.Job: map 91% reduce 0%
17/06/13 13:02:36 INFO mapreduce.Job: map 92% reduce 0%
17/06/13 13:02:42 INFO mapreduce.Job: map 93% reduce 0%
17/06/13 13:02:47 INFO mapreduce.Job: map 94% reduce 0%
17/06/13 13:02:51 INFO mapreduce.Job: map 95% reduce 0%
17/06/13 13:02:57 INFO mapreduce.Job: map 96% reduce 0%
17/06/13 13:03:04 INFO mapreduce.Job: map 97% reduce 0%
17/06/13 13:03:10 INFO mapreduce.Job: map 98% reduce 0%
17/06/13 13:03:30 INFO mapreduce.Job: map 99% reduce 0%
17/06/13 13:03:58 INFO mapreduce.Job: map 100% reduce 0%
17/06/13 13:06:15 INFO mapreduce.Job: Job job_1495940390018_0989 completed successfully 
17/06/13 13:06:15 INFO mapreduce.Job: Counters: 33
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=30634
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=1810172
HDFS: Number of bytes written=6602
HDFS: Number of read operations=21710
HDFS: Number of large read operations=0
HDFS: Number of write operations=4461
Job Counters 
Launched map tasks=22
Other local map tasks=22
Total time spent by all maps in occupied slots (ms)=09878
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=170939
Total vcore-milliseconds taken by all map tasks=17049
Total megabyte-milliseconds taken by all map tasks=1747536
Map-Reduce Framework
Map input records=417
Map output records=175
Input split bytes=262
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=3338
CPU time spent (ms)=3180
Physical memory (bytes) snapshot=480768
Virtual memory (bytes) snapshot=61798624
Total committed heap usage (bytes)=2965728
File Input Format Counters 
Bytes Read=17510
File Output Format Counters 
Bytes Written=6616
org.apache.hadoop.tools.mapred.CopyMapper$Counter
BYTESSKIPPED=11361
COPY=1242
SKIP=3175
2017-06-13 13:06:15,668 - INFO [Line: 904]: Distcp -log output stored in /var/AB/CY/
2017-06-13 13:06:15,673 - INFO [Line: 132]: End logging 
2017-06-13 13:07:01,494 - INFO [Line: 48]: Begin logging
. <similar to above logs>
. <similar to above logs>
. <similar to above logs>
2017-06-13 13:07:15,673 - INFO [Line: 132]: End logging 

..。

。。。

等。

,然后再次,它的不同作业ID与上述部分相似,以"开始记录",并以" end Logging"结尾,如上所述。

所以我的问题是:如何在log-stash配置中解析该日志,我想在一个单个ES日志记录中查看每个块。我所说的块是从"开始登录"到"结束登录"开始的一切*注意:我还是ES的新手,所以任何建议都应该对我有用,谢谢!

您是否尝试过logstash的多行编码器?
这是有关存储多行事件的更多文档:管理多行事件

我想在您的情况下,您可能可以做这样的事情

multilineInput.config:

input {
  stdin {
    codec => multiline {
      pattern => "End logging"
      what => "next"
      negate => true
    }
  }
}
output {
  stdout {
    codec => "rubydebug"
  }
}

产生:

{
      "@version" => "1",
       "message" => "2017-06-13 13:00:01,494 - INFO [Line: 48]: Begin loggingnn2017-06-13 13:00:01,494 - DEBUG [Line: 89]: Writing to lockfile. Lockfile location: /etc/conf/the/back_up.txtnn2017-06-13 13:00:03,521 - WARNING [Line: 449]: Snapshotting is not enablednn2017-06-13 13:06:15,663 - INFO [Line: 898]: stderr: nn17/06/13 13:00:13 INFO tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=true, deleteMissing=false, ignoreFailures=true,maxMaps=20, sslConfigurationFile='null', copyStrategy='uniformsize', sourceFileListing=null, sourcePaths=[/DAT/ABC], targetPath=/etc/conf/the/back_up.txt, tar getPathExists=true, preserveRawXattrs=false}nn17/06/13 13:00:13 INFO impl.TimelineClientImpl: Timeline service address: http://ip-192-168-X-XX.xyz:9000/v1/example/n17/06/13 13:00:14 INFO tools.DistCp: DistCp job log path: /var/tar/xarnn17/06/13 13:00:20 INFO mapreduce.JobSubmitter: number of splits:22nn17/06/13 13:00:21 INFO impl.YarnClientImpl: Submitted application application_1495940390018_0989nn17/06/13 13:00:21 INFO mapreduce.Job: Running job: job_1495940390018_0989 n17/06/13 13:00:29 INFO mapreduce.Job: Job job_1495940390018_0989 running in uber mode : falsen17/06/13 13:00:29 INFO mapreduce.Job: map 0% reduce 0%n17/06/13 13:00:46 INFO mapreduce.Job: map 11% reduce 0%n17/06/13 13:00:47 INFO mapreduce.Job: map 17% reduce 0%n17/06/13 13:00:48 INFO mapreduce.Job: map 18% reduce 0%n17/06/13 13:00:49 INFO mapreduce.Job: map 23% reduce 0%n17/06/13 13:00:50 INFO mapreduce.Job: map 28% reduce 0%n17/06/13 13:00:51 INFO mapreduce.Job: map 29% reduce 0%n17/06/13 13:00:52 INFO mapreduce.Job: map 32% reduce 0%n17/06/13 13:00:53 INFO mapreduce.Job: map 37% reduce 0%n17/06/13 13:00:54 INFO mapreduce.Job: map 38% reduce 0%n17/06/13 13:00:55 INFO mapreduce.Job: map 41% reduce 0%n17/06/13 13:00:56 INFO mapreduce.Job: map 44% reduce 0%n17/06/13 13:00:57 INFO mapreduce.Job: map 45% reduce 0%n17/06/13 13:00:58 INFO mapreduce.Job: map 47% reduce 0%n17/06/13 13:00:59 INFO mapreduce.Job: map 48% reduce 0%n17/06/13 13:01:00 INFO mapreduce.Job: map 49% reduce 0%n17/06/13 13:01:07 INFO mapreduce.Job: map 54% reduce 0%n17/06/13 13:01:08 INFO mapreduce.Job: map 57% reduce 0%n17/06/13 13:01:10 INFO mapreduce.Job: map 59% reduce 0%n17/06/13 13:01:11 INFO mapreduce.Job: map 60% reduce 0%n17/06/13 13:01:13 INFO mapreduce.Job: map 62% reduce 0%n17/06/13 13:01:14 INFO mapreduce.Job: map 63% reduce 0%n17/06/13 13:01:15 INFO mapreduce.Job: map 64% reduce 0%n17/06/13 13:01:16 INFO mapreduce.Job: map 65% reduce 0%n17/06/13 13:01:31 INFO mapreduce.Job: map 76% reduce 0%n17/06/13 13:01:35 INFO mapreduce.Job: map 77% reduce 0%n17/06/13 13:01:39 INFO mapreduce.Job: map 78% reduce 0%n17/06/13 13:01:44 INFO mapreduce.Job: map 79% reduce 0%n17/06/13 13:01:48 INFO mapreduce.Job: map 80% reduce 0%n17/06/13 13:01:52 INFO mapreduce.Job: map 81% reduce 0%n17/06/13 13:01:55 INFO mapreduce.Job: map 82% reduce 0%n17/06/13 13:01:58 INFO mapreduce.Job: map 83% reduce 0%n17/06/13 13:02:01 INFO mapreduce.Job: map 84% reduce 0%n17/06/13 13:02:06 INFO mapreduce.Job: map 85% reduce 0%n17/06/13 13:02:09 INFO mapreduce.Job: map 86% reduce 0%n17/06/13 13:02:12 INFO mapreduce.Job: map 87% reduce 0%n17/06/13 13:02:16 INFO mapreduce.Job: map 88% reduce 0%n17/06/13 13:02:18 INFO mapreduce.Job: map 89% reduce 0%n17/06/13 13:02:23 INFO mapreduce.Job: map 90% reduce 0%n17/06/13 13:02:28 INFO mapreduce.Job: map 91% reduce 0%n17/06/13 13:02:36 INFO mapreduce.Job: map 92% reduce 0%n17/06/13 13:02:42 INFO mapreduce.Job: map 93% reduce 0%n17/06/13 13:02:47 INFO mapreduce.Job: map 94% reduce 0%n17/06/13 13:02:51 INFO mapreduce.Job: map 95% reduce 0%n17/06/13 13:02:57 INFO mapreduce.Job: map 96% reduce 0%n17/06/13 13:03:04 INFO mapreduce.Job: map 97% reduce 0%n17/06/13 13:03:10 INFO mapreduce.Job: map 98% reduce 0%n17/06/13 13:03:30 INFO mapreduce.Job: map 99% reduce 0%n17/06/13 13:03:58 INFO mapreduce.Job: map 100% reduce 0%nn17/06/13 13:06:15 INFO mapreduce.Job: Job job_1495940390018_0989 completed successfully nn17/06/13 13:06:15 INFO mapreduce.Job: Counters: 33nFile System CountersnFILE: Number of bytes read=0nFILE: Number of bytes written=30634nFILE: Number of read operations=0nFILE: Number of large read operations=0nFILE: Number of write operations=0nHDFS: Number of bytes read=1810172nHDFS: Number of bytes written=6602nHDFS: Number of read operations=21710nHDFS: Number of large read operations=0nHDFS: Number of write operations=4461nJob Counters nLaunched map tasks=22nOther local map tasks=22nTotal time spent by all maps in occupied slots (ms)=09878nTotal time spent by all reduces in occupied slots (ms)=0nTotal time spent by all map tasks (ms)=170939nTotal vcore-milliseconds taken by all map tasks=17049nTotal megabyte-milliseconds taken by all map tasks=1747536nMap-Reduce FrameworknMap input records=417nMap output records=175nInput split bytes=262nSpilled Records=0nFailed Shuffles=0nMerged Map outputs=0nGC time elapsed (ms)=3338nCPU time spent (ms)=3180nPhysical memory (bytes) snapshot=480768nVirtual memory (bytes) snapshot=61798624nTotal committed heap usage (bytes)=2965728nFile Input Format Counters nBytes Read=17510nFile Output Format Counters nBytes Written=6616norg.apache.hadoop.tools.mapred.CopyMapper$CounternBYTESSKIPPED=11361nCOPY=1242nSKIP=3175n2017-06-13 13:06:15,668 - INFO [Line: 904]: Distcp -log output stored in /var/AB/CY/nn2017-06-13 13:06:15,673 - INFO [Line: 132]: End logging ",
          "tags" => [
        [0] "multiline"
    ]
}
{
      "@version" => "1",
       "message" => "n2017-06-13 13:07:01,494 - INFO [Line: 48]: Begin loggingnn. <similar to above logs>nn. <similar to above logs>nn. <similar to above logs>nn2017-06-13 13:07:15,673 - INFO [Line: 132]: End logging",
          "tags" => [
        [0] "multiline"
    ]
}

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