1 Commits (c3a3bc396fab6e8fb7ea4ac3ad1682fbb4754aeb)

Author	SHA1	Message	Date
Ned Andreev	40479029d7	feat: Generic logline placeholder replacement and tokenization (#12799) ... This code allows us to preprocess generic logs and replace highly variable dynamic data (timestamps, IPs, numbers, UUIDs, hex values, bytesizes and durations) with static placeholders for easier pattern extraction and more efficient and user-friendly matching by the Drain algorithm. Additionally, there is logic that splits generic log lines into discrete tokens that can be used with Drain for better results than just naively splitting the logs on every whitespace. The tokenization here handles quote counting and emits quoted strings as a part of the same token. On the other side, it also handles likely JSON logs without any white spaces in them better, by trying to split `{"key":value}` pairs (without actually parsing the JSON). All of this is done without using regular expressions and without actually parsing the log lines in any specific format. That's why it works very efficiently in terms of CPU usage and allocations, and should handle all log formats and unformatted logs equally well.	2 years ago