Open andygrove opened 1 month ago
The benchmarks added in https://github.com/apache/datafusion-comet/pull/948 show that Comet's Spark-compatible aggregates are ~50% slower than the DataFusion equivalents:
aggregate/avg_decimal_datafusion time: [653.56 µs 657.57 µs 662.06 µs] aggregate/avg_decimal_comet time: [1.0581 ms 1.0592 ms 1.0604 ms] aggregate/sum_decimal_datafusion time: [695.51 µs 696.48 µs 697.60 µs] aggregate/sum_decimal_comet time: [1.0218 ms 1.0230 ms 1.0242 ms]
No response
Related upstream changes in arrow-rs: https://github.com/apache/arrow-rs/pull/6419
What is the problem the feature request solves?
The benchmarks added in https://github.com/apache/datafusion-comet/pull/948 show that Comet's Spark-compatible aggregates are ~50% slower than the DataFusion equivalents:
Describe the potential solution
No response
Additional context
No response