Comments (2)
Hi, thanks for the question!
Drain.py is a mature tool and extensively improves DrainV1. In particular, it provides an automated parameter tuning mechanism.
We have benchmarked the two approaches. The results are written in a paper submitted to a journal now. We will add a link to the paper if accepted.
Thanks!
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thank a lot for your anwser PunyTitan.
I'm going to play a bit with Drain before to consider some extensions (I like your approach and I would like to extend it for capturing more global event described by a multiple line pattern).
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Related Issues (20)
- The difference in number of records between raw data and parsed data HOT 1
- logrevised和log_corrected区别
- Support for multiline HOT 1
- How does the logpai/Drain3 repository compare to the implementation in this repository? HOT 1
- Controlling verbosity of output HOT 1
- Known log formats in benchmarks HOT 2
- Use Spell to parser HDFS have some question HOT 1
- Inconsistency with Templates and the EventTemplates in the Spark2k_corrected version file HOT 4
- raise KeyError in Drain HOT 2
- How to define log_format and regex[] for each dataset? HOT 1
- df_log always empty HOT 1
- bad escape \s in Drain.py HOT 7
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- EventId in HDFS_template.csv
- Spell optimization in python using multiprocessing HOT 1
- What do precision and recall really mean in log parsing? HOT 2
- Configure logparser with python2.7
- I think there is a misspelling in '/logs/Andriod' HOT 1
- Unable to figure out how to use the logparser HOT 2
- running python Drain_demo.py , An error occurred
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