2010YOUY01 commented on issue #13548: URL: https://github.com/apache/datafusion/issues/13548#issuecomment-2504258864
I rerun the H2O Q9 with `GroupsAccumulator` for `corr()`. See https://github.com/apache/datafusion/pull/13581 h2o dataset is in `parquet` format ``` Result ---- main, h2o_10m: 0.8s main, h2o_100m: 12s pr, h2o_10m: 0.2s pr, h2o_100m: 4s ``` I didn't reproduce the drastic slowdown in `main` branch🤔 > When the dataset is 10 million rows, then Polars takes 3 seconds and DataFusion takes 3.6 seconds, so pretty similar. > > When the dataset is 100 million rows, then Polars takes 126 seconds and DataFusion takes 2,100 seconds. -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
