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mwc360

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mwc360
·há 2 anos·discuss
OSS Delta support deletion vectors. The problem is that the OSS Deltalake (based on Delta-rs) python library does not and this prevents engines like DuckDB and Polars from writing to suck tables. I'm pretty sure DV is in OSS since 3.1
mwc360
·há 2 anos·discuss
Very cool! This seems like fantastic functionality and would make it super easy to migrate small Spark workloads to DuckDB :)
mwc360
·há 2 anos·discuss
Ritchie - thx for graciously correcting some things I got wrong, will get it corrected!
mwc360
·há 2 anos·discuss
FYI I had V-Order and Optimzed Write disabled in the benchmark. The only wrote diff was that I enabled deletion vectors in Spark since it’s supported which the other two don’t.
mwc360
·há 2 anos·discuss
Author here: that’s exactly what I was trying to communicate but you said it better :)
mwc360
·há 2 anos·discuss
Miles Cole here: I’d love to see Daft on Ray become more widely used. Same Dataframe API and run it in either single or multi-machine mode. The only thing I don’t love about it today is that their marketing is a bit misleading. Daft is distributed VIA Ray, Daft itself is not distributed.
mwc360
·há 2 anos·discuss
Author of the blog here: fair point. Pretty much every published benchmark has an agenda that ultimately skews the conclusion. I did my best here to be impartial, I.e I fully designed the benchmark and each test prior to running code on any engine to mimic typical ELT demands w/o having the opportunity to optimize Spark since I know it well.
mwc360
·há 2 anos·discuss
Miles Cole here… thx for the correction, another reader just notes this as well. I’ll get this corrected tomorrow and possibly retest after verifying I have spill set up. Thx!
mwc360
·há 2 anos·discuss
Hi - Miles Cole here… I used lazy APIs where available. I.e. everything up to write_delta() is lazy in the Polars (Mod) variant.

Yeah I was debating whether to share all of the source code. I may share a portion of it soon.