andygrove commented on code in PR #1332: URL: https://github.com/apache/datafusion-comet/pull/1332#discussion_r1934475131
########## native/core/src/execution/operators/scan.rs: ########## @@ -304,11 +304,7 @@ fn scan_schema(input_batch: &InputBatch, data_types: &[DataType]) -> SchemaRef { .map(|(idx, c)| { let datatype = ScanExec::unpack_dictionary_type(c.data_type()); // We don't use the field name. Put a placeholder. - if matches!(datatype, DataType::Dictionary(_, _)) { - Field::new_dict(format!("col_{}", idx), datatype, true, idx as i64, false) Review Comment: Fresh benchmark results: Using fast encoding = 332 seconds (our published time is 331, and I do see small variance on each run) Using Arrow IPC = 334 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: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org