kylebrooks-8451 commented on PR #341: URL: https://github.com/apache/arrow-datafusion-python/pull/341#issuecomment-1521802628
@andygrove - I ran that benchmark you linked on my MacBook Pro 6 Core i7 2.6 GHz. Using the TPCH Parquet Data with a Scale Factor of `1.0` and the sqlbench-h SF=1 queries, I got a **245% or 2.45x speedup** with the PR using release wheel builds. I'm glad this made it into the 23 release! ||Before |After | |------|-------|------| |setup |246.6 |26.7 | |q1 |639.2 |322.3 | |q2 |616.3 |198.2 | |q3 |539.7 |150.7 | |q4 |408.1 |107.5 | |q5 |702.5 |198.6 | |q6 |125.3 |50.7 | |q7 |897.8 |413.3 | |q8 |868.4 |237.5 | |q9 |1265.6 |348.2 | |q10 |683.7 |256.5 | |q11 |245.4 |105.1 | |q12 |318.4 |133 | |q13 |1390.9 |591 | |q14 |195.8 |88.7 | |q15 |296.9 |133.4 | |q16 |269.4 |106 | |q17 |3291.9 |1555 | |q18 |2970.2 |1060.1| |q19 |262.4 |156.1 | |q20 |668.9 |370.5 | |q21 |1018 |624.7 | |total |17674.9|7207.1| | | | | |Speedup | |2.452 | -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
