alamb opened a new issue, #4479: URL: https://github.com/apache/arrow-rs/issues/4479
**Is your feature request related to a problem or challenge? Please describe what you are trying to do.** I am trying to make group by really fast in DataFusion https://github.com/apache/arrow-datafusion/pull/6800 The grouping code uses the Arrow Row format 👍 and calls `RowConverter::convert_columns` My traces imply that some non trivial amount of time is spent zeroing out newly allocated memory for `Rows`:  **Describe the solution you'd like** I would like a method like `RowConverter::convert_columns_in_place` that writes to an pre-existing rows (clearing it out first) Perhaps something like ```rust impl RowConverter { ... /// Convert [`ArrayRef`] columns into pre-existing [`Rows`], first calling `Rows::reset()` /// /// See [`Row`] for information on when [`Row`] can be compared /// /// # Panics /// /// Panics if the schema of `columns` does not match that provided to [`RowConverter::new`] pub fn convert_columns_in_place(&mut self, columns: &[ArrayRef], dst &mut Rows) -> Result<ArrowError> { ``` https://docs.rs/arrow-row/43.0.0/src/arrow_row/lib.rs.html#712 **Describe alternatives you've considered** <!-- A clear and concise description of any alternative solutions or features you've considered. --> **Additional context** <!-- Add any other context or screenshots about the feature request here. --> -- 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]
