alamb commented on code in PR #8044: URL: https://github.com/apache/arrow-datafusion/pull/8044#discussion_r1381986821
########## docs/source/contributor-guide/quarterly_roadmap.md: ########## @@ -23,9 +23,22 @@ A quarterly roadmap will be published to give the DataFusion community visibilit ## 2023 Q4 +### Underway + +- Improved sort based optimizations (TODO FIND TICKET) - Improve data output (`COPY`, `INSERT` and DataFrame) output capability [#6569](https://github.com/apache/arrow-datafusion/issues/6569) - Implementation of `ARRAY` types and related functions [#6980](https://github.com/apache/arrow-datafusion/issues/6980) - Write an industrial paper about DataFusion for SIGMOD [#6782](https://github.com/apache/arrow-datafusion/issues/6782) +- Faster Merging with Parallel Cascaded Merge: [#7181](https://github.com/apache/arrow-datafusion/issues/7181) + +### Planning (needs additional help, guidance) + +The following work items are still in the planning / proposal stage. + +- Improved planning speed, especially for schemas with large numbers of columns [#5637](https://github.com/apache/arrow-datafusion/issues/5637) / [#7698](https://github.com/apache/arrow-datafusion/issues/7698) +- Make it easier to customize DataFusion, with split out function packages, etc. - [#7977](https://github.com/apache/arrow-datafusion/issues/7977) Review Comment: fyi @2010YOUY01 ########## docs/source/contributor-guide/quarterly_roadmap.md: ########## @@ -23,9 +23,22 @@ A quarterly roadmap will be published to give the DataFusion community visibilit ## 2023 Q4 +### Underway + +- Improved sort based optimizations (TODO FIND TICKET) - Improve data output (`COPY`, `INSERT` and DataFrame) output capability [#6569](https://github.com/apache/arrow-datafusion/issues/6569) - Implementation of `ARRAY` types and related functions [#6980](https://github.com/apache/arrow-datafusion/issues/6980) - Write an industrial paper about DataFusion for SIGMOD [#6782](https://github.com/apache/arrow-datafusion/issues/6782) +- Faster Merging with Parallel Cascaded Merge: [#7181](https://github.com/apache/arrow-datafusion/issues/7181) + +### Planning (needs additional help, guidance) + +The following work items are still in the planning / proposal stage. + +- Improved planning speed, especially for schemas with large numbers of columns [#5637](https://github.com/apache/arrow-datafusion/issues/5637) / [#7698](https://github.com/apache/arrow-datafusion/issues/7698) +- Make it easier to customize DataFusion, with split out function packages, etc. - [#7977](https://github.com/apache/arrow-datafusion/issues/7977) +- User Defined Types [#7923](https://github.com/apache/arrow-datafusion/issues/7923) +- ORC Support [#4707](https://github.com/apache/arrow-datafusion/issues/4707) Review Comment: FYI @Jefffrey / @waynexia ########## docs/source/contributor-guide/quarterly_roadmap.md: ########## @@ -23,9 +23,22 @@ A quarterly roadmap will be published to give the DataFusion community visibilit ## 2023 Q4 +### Underway + +- Improved sort based optimizations (TODO FIND TICKET) - Improve data output (`COPY`, `INSERT` and DataFrame) output capability [#6569](https://github.com/apache/arrow-datafusion/issues/6569) - Implementation of `ARRAY` types and related functions [#6980](https://github.com/apache/arrow-datafusion/issues/6980) - Write an industrial paper about DataFusion for SIGMOD [#6782](https://github.com/apache/arrow-datafusion/issues/6782) +- Faster Merging with Parallel Cascaded Merge: [#7181](https://github.com/apache/arrow-datafusion/issues/7181) + +### Planning (needs additional help, guidance) + +The following work items are still in the planning / proposal stage. + +- Improved planning speed, especially for schemas with large numbers of columns [#5637](https://github.com/apache/arrow-datafusion/issues/5637) / [#7698](https://github.com/apache/arrow-datafusion/issues/7698) +- Make it easier to customize DataFusion, with split out function packages, etc. - [#7977](https://github.com/apache/arrow-datafusion/issues/7977) +- User Defined Types [#7923](https://github.com/apache/arrow-datafusion/issues/7923) Review Comment: fyi @yukkit -- 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]
