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Improve performance for roundrobin shuffle writes for nested schemas #5397
Noticed dramatic slowdown for tasks with shuffle writes for RR repartition comparing to Spark, 2-3x to be more precise.
Specifically for the nested schemas, there is some inefficiency when native shuffle deals with wide/complex fields. its invisible for TPC-* benchmarks because of historical flat schema. But in real user world this is pretty much downside.
changed the title [-]Improve performance for shuffle writes for nested schemas[/-][+]Improve performance for roundrobin shuffle writes for nested schemas[/+]on Aug 22, 2026
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comphead commentedon Aug 20, 2026
MIght be related to obtain correct shuffle metrics #5370
comphead commentedon Aug 21, 2026
Spark
Comet
With vectorized shuffle
[-]Improve performance for shuffle writes for nested schemas[/-][+]Improve performance for roundrobin shuffle writes for nested schemas[/+]comphead commentedon Aug 22, 2026
I'm experimenting with
comphead commentedon Aug 22, 2026
with vectorized shuffle pretty good results
UPD: This was another dataset experiment, and originally Comet took 21 mins to complete, now 10. It is still experimenting
comphead commentedon Aug 24, 2026
xxhash-rust experiment, takes much longer