Comments (4)
I don't mean to distract from your question, but your format appears to be comma-delimited and is something the csv filter is great at!
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@jordansissel The csv filter is great! But for each particular csv! Which dawned on me while I was building a new filter for every new csv.
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Also, the current grok filter doesn't try to match across the entire line. Once the pattern match is satisfied once, it is fulfilled. So, with the example above, grok will only parse out one IPV4 address; not parsing out the second IPV4 address.
If grok can take the pattern and extract every match throughout the entire log line, not just once, then that's all I need. This is especially useful if the structure of the log is unknown and I'd like to just extract all IPV4's from the line
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Closing in favor of tracking this discussion in an older similar ticket, #35
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Related Issues (20)
- Allow grok pattern to be passed in as a parameter HOT 3
- Memory leak on 5.x
- Ability to auto-sort match options by frequency of match HOT 1
- getting values as an array HOT 1
- remove_field not working HOT 2
- "Prefix" functionality for grok HOT 4
- Track number of failed matches when using multiple pattern per field
- Warn when patterns don't have anchors HOT 1
- Significant Performance Regression using Jruby Timeouts HOT 8
- Implement ECS-Compatibility Mode HOT 4
- Logstash pipeline to remove passwords from log data HOT 1
- Using event fileds in configuration options HOT 1
- pure ruby regexp <capture:int> coercion does not work
- captures with same name won't coerce properly
- Logstash for iis SMTP
- Incoherent behavior of field references with overwrite
- [Test Failure] Syslog grok tests are failing on Logstash 8.x
- Behaviour when pattern writes to same input field (without "overwrite" option) HOT 1
- Add property to limit backtracking
- Regression on grok is case of match failure HOT 4
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