Earlier quoted context omitted.
heh, that's happened at at least 5 companies I have worked at - go to check the database, find - currency as floats, hilarious indexes, integers gonna overflow, gigantic types with nothing in them.
I bet you haven't seen indeces on decimals though! Fun times :)
Congratulations on creating the one billionth repository on GitHub
141–146 of 146 posts
Re: Congratulations on creating the one billionth repository on GitHub
#142Earlier quoted context omitted.
I don't really understand this - what is an out of production read replica? Why wouldn't it just go to a production read replica? And what is an "analytics db" in this context?
You stream CDC events to have a 1 to 1 read replica in something like Snowflake/Databricks where you can run all kinds of OLAP workflows on this analytics db replica.
Re: Congratulations on creating the one billionth repository on GitHub
#143Earlier quoted context omitted.
Well done. Unsung heroes keeping it all going, and unsung villains who chose int32 in the first place long gone :-)
This comment can be reused when int64 is forced to change into int128 or int255 in the future.
That way, one can represent the numbers found in cryptography as … numbers, instead of opaque Base64- or (God help one) ASN.1-encoded byte sequences.
Machine words are an efficiency hack.
Re: Congratulations on creating the one billionth repository on GitHub
#144Re: Congratulations on creating the one billionth repository on GitHub
#145Probably created via a script that just repeatedly checked https://api.github.com/repositories/999999999 until it showed up, and then created a new repository. Since repositories can be modified, could have even given it some buffer and created a bunch of repos, just delete the ones that don't get the right number. [append] Looking at the author's other repo created yesterday, I'm betting "yep" was supposed to be the…
Re: Congratulations on creating the one billionth repository on GitHub
#146Earlier quoted context omitted.
Cheap solution, sure, add an index. But you're asking an OLAP question question of an OLTP system. Questions like that are best asked at least of an out-of-production read replica or better an analytics db.
I don't really understand this - what is an out of production read replica? Why wouldn't it just go to a production read replica? And what is an "analytics db" in this context?