The thing with journalctl is that it is a database. Thus means that searching and finding things can be fast and easy in high complexity cases but it can also stall in cases with very high resource usage.
Thing is that they could have preserved the textual nature and had some sort of external metadata to facilitate the ‘fanciness’. I have worked in other logging systems that did that, with the ability to consume the plaintext logs in an ‘old fashioned’ way but a utility being able to do all the nice filtering, search, and special event marking that journalctl provides without compromising the existence of the plain text.
The thing with journalctl is that it is a database. Thus means that searching and finding things can be fast and easy in high complexity cases but it can also stall in cases with very high resource usage.
Thing is that they could have preserved the textual nature and had some sort of external metadata to facilitate the ‘fanciness’. I have worked in other logging systems that did that, with the ability to consume the plaintext logs in an ‘old fashioned’ way but a utility being able to do all the nice filtering, search, and special event marking that journalctl provides without compromising the existence of the plain text.
Plain text is slow and cumbersome for large amounts of logs. It would of had a decent performance penalty for little value add.
If you like text you can pipe journalctl