parthchandra opened a new issue, #124: URL: https://github.com/apache/arrow-datafusion-comet/issues/124
### What is the problem the feature request solves? The current parallel reader splits a consecutive range into smaller pieces and reads them all in parallel. This method is fast but expensive as it uses a large number of connections which are not reused. On cloud storage this can increase the cost quite a bit. Connections are not reused to avoid large seeks within a file. On cloud storage platforms like S3, long range seeks will automatically create a new http connection resulting in the same extra costs. ### Describe the potential solution A solution would be to use a set of reusable connections that read the consecutive ranges in parallel with no splitting of ranges. This approach has a disadvantage in that if there is a single large range then that range will be read by a single thread and will become a performance bottleneck. To overcome this, we can introduce a method to handle skew where such oversized ranges are split into smaller ranges. ### Additional context _No response_ -- 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]
