In order to analyze a higher number of triaged records (let say in the order of 50+), it would be useful to group the records based on a header value, for example exception message. This would make it easier to get a list of the unique exceptions that occurred.
Since exception messages could contain variables (such as offset/faulty value), a 'normal' GROUP BY might not be enough.
Postgres provides pg_trgm with similarity(text, text) method, which might be useful.
Possible nice to have is to dynamically change the similarity percentage.
In order to analyze a higher number of triaged records (let say in the order of 50+), it would be useful to group the records based on a header value, for example exception message. This would make it easier to get a list of the unique exceptions that occurred.
Since exception messages could contain variables (such as offset/faulty value), a 'normal'
GROUP BYmight not be enough.Postgres provides
pg_trgmwithsimilarity(text, text)method, which might be useful.Possible nice to have is to dynamically change the similarity percentage.