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Maybe this is the case in general, but a while back we did something that required flipping an array and when we did it with python inside Postgres it was sever
by aidos 6y ago
Maybe this is the case in general, but a while back we did something that required flipping an array and when we did it with python inside Postgres it was several magnitudes faster.
- scrollaway 6y agoThis would make for a super interesting blog post / case study IMO, you should write about it even if it's just to showcase the two algorithms / comparisons.
- aidos 6y agoSorry, but late back but I’ve just found the code. It’s a bit of a weird case where I needed to reverse arrays inside a big json blob (millions of big json blobs). Trying to explode the structures out and rebuild them was a bit of a no-go. Instead I did a nasty little regex replace on the json string: re.sub('"key": \[([^\\]]+)\]', lambda match: '"key": [' + ', '.join(reversed(match.group(1).split(', '))) + "]", els) There might be a way of doing this in postgres these days (this was 3 or 4 years ago), but I'm not sure. At the time this was the best I could come up with and I was pretty surprised it worked as well as it did. Since then I've always installed the python extension whenever I set up a new postgres, just in case.
- pyramation 6y agofor sure there are all sorts of postgres regex tools... You can likely do everything. The main limitations I found in plpgsql were in base encodings (that were missing), which is why I had to implement base32 from scratch. Besides that, it's pretty much a super powerful language