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Joined 1 year ago
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Cake day: June 10th, 2023

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  • these methods don’t account for all the variables that reality has. People across all boarding groups will be late, there will be people that need assistance from flight attendants, there will be people who want to switch seats to be near their family, there will be people who can’t sit in the exit row, there will be people who need to use the rest room, there will be people who’ve never been on a plane before.

    There is no great, full proof way to handle it because people are unpredictable


  • I flew around 26 times domestically last year and most of the flights ran out of space. It’s really common for the airline to ask for volunteers to check their carry-ons. If you aren’t in the first 2/3rds of people on the plane, you’ll likely be forced to check your carry-ons.

    This problem has gotten worse over the years because airlines have increased the prices for checking your luggage so many people opt to bring carry-ons instead.










  • obviously it depends on your requirements but what I meant was you can’t compare them at the DB level within queries… you have to pull the data out into your application layer to use your date library.

    The problem there is you effectively need to grab more data than you need to answer queries like “which record has the most recent date” or “give me all the records between the values of the result of this subquery”. it can quickly become a massive bottleneck and may even prevent you from doing certain types of queries at all due to memory limitations.