thinkharderdev opened a new issue, #2949: URL: https://github.com/apache/arrow-datafusion/issues/2949
**Is your feature request related to a problem or challenge? Please describe what you are trying to do.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] (This section helps Arrow developers understand the context and *why* for this feature, in addition to the *what*) See https://github.com/apache/arrow-rs/issues/2110 for the background. Some object stores are able to efficiently parallelize reads so it would be great to take advantage of that in DataFusion. https://github.com/apache/arrow-rs/pull/2115 should add the plumbing in `arrow-rs` to allow DataFusion to decide how to best fetch multiple byte ranges (in this case, column chunks from a parquet file). **Describe the solution you'd like** A clear and concise description of what you want to happen. I think there are two possible solutions: 1. Make `ParquetFileReader` parallelize range requests by default, perhaps with some configurable options for max parallelism, etc. 2. Push this back to the `ObjectStore` crate and just add a `get_ranges(&self, location: &Path, ranges: Range<usize>)` method and let the object store implementation decide what is the most efficient way to fetch multiple byte ranges. I think 2 seems like a better solution but it involves making a change to a public trait in another crate (for the moment at least) which makes things logistically more complicated. **Describe alternatives you've considered** A clear and concise description of any alternative solutions or features you've considered. We could not do anything. **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]
