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Jul 25 at 5:56 answer added Rob timeline score: 1
Jul 23 at 20:49 answer added JimmyJames timeline score: 2
Jul 23 at 15:27 comment added Thibe Not sure if this really fits as an answer, thus only a comment. It might be worth to take a look into some simple compression techniques, e.g. store one or few base-timestamps and make all other timestamps relative to that and thus are much smaller. Depending on the approach this may or may not affect the time to find the entries.
Jul 23 at 15:16 comment added Thibe Is there a use case to query a time range for all or multiple job_ids? Even if it is a use case, is it rare enough to justify a more complex storage and handling? Storing one separate time series per job_id would require the job_id only once without any hash values.
Jul 23 at 12:47 answer added Doc Brown timeline score: 2
Jul 23 at 11:45 comment added Thomas Koelle I would try to figure a rough estimate for how much more space per month a readable format would cost, and then talk to some hardware people about the price of that memory/storage.
Jul 23 at 11:43 history edited nz_21 CC BY-SA 4.0
deleted 14 characters in body
Jul 23 at 11:38 history asked nz_21 CC BY-SA 4.0