from here on out, ill post codecel questions or other shit i need help with here and give mbux rewards appropriately
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You should explain exactly what you're trying to achieve with the query. There may be better approaches.
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"hot" sorting algorithm
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Consider doing an initial filter to cull out posts older than a week before trying to do the math on their scores? Basically toss out entries that don't have a snowball's chance of being selected.
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how do i do that king
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Depends on which SQL engine you're using, but as
@cyberdick mentioned doing a nested query is one way. Otherwise your engine might be smart enough to figure this out if you just add an additional
WHEREclause specifyingAND date > x.From your analysis it looks like most of the time is being spent calculating the sort key for every post ever made, then sorting that. Figure out at which age the other factors in the stat become irrelevant (e.g. after 2 weeks no amount of activity is getting the post a good score), you only need to care about exact scoring for posts that might tangibly be considered "hot".
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select * from posts where posts.date > {date} ??? and then run your query this? or create a view with this and use the view
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Also add some stricter thresholds for what counts as "hot"! The amount of times I've seen a post with only Snappy commenting and 3 upvotes near the top of the hot sorting makes no sense
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Don't do this for one.
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y
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Honestly depends on your database but for most of the ones I know and have worked with NULL queries are outright useless at best in terms of selectivity and depending on how a search is done might be harmful at worst.
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Probably not with adding a simple index.
I would add a new column for "rank", index that new column sorted ASC. Then have a job that runs every X minutes that computes and updates each post rank.
When querying, you can sort/limit by the pre-computed rank but then apply a live rank algo in real-time so that it's not stale from the job but would need some tweaks/optimizations to work around page boundaries accurately.
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