Good Morning!

Guten Morgen!

mogge

and welcome @jtkdvlp

Morning

’good ’morning

good morning!

Morning! New old babashka talk: https://twitter.com/ndj/status/1328826419086909440

Bore da

so, transit-clj seems to be fast and compact (when using :msgpack and GzipOutputStream) for my needs. i'm pretty happy with it

I'm using the reducibles library. I just need to figure out how to deal with a seq of reducibles and/or eductions. I'm not quite sure where to draw the line for using things like (take 2) and only getting part of the first file

It is pretty easy for ingesting everything

yeah, just checked on all the data and it takes bout 20% of the time that nippy does

I had some issues with transit doing too many tiny chunks completely defeating gzip

*cough* https://github.com/cognitect/transit-clj/issues/43 *cough*

For my data structure it seems to be working atm

I'm writing 50 largish vectors to a file getting gzipped

Each file ends up around 7MB