[arrow-datafusion] branch Ballista-Roadmap created (now 79be25770)

[nj...@apache.org]

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nju_yaho pushed a change to branch Ballista-Roadmap
in repository https://gitbox.apache.org/repos/asf/arrow-datafusion.git


      at 79be25770 Update quarterly_roadmap.md

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     new 79be25770 Update quarterly_roadmap.md

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[arrow-datafusion] 01/01: Update quarterly_roadmap.md

[nj...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

nju_yaho pushed a commit to branch Ballista-Roadmap
in repository https://gitbox.apache.org/repos/asf/arrow-datafusion.git

commit 79be257707db40d824da2e29b025ea7435128a84
Author: yahoNanJing <90...@users.noreply.github.com>
AuthorDate: Thu Sep 15 11:45:16 2022 +0800

    Update quarterly_roadmap.md
---
 docs/source/contributor-guide/quarterly_roadmap.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/docs/source/contributor-guide/quarterly_roadmap.md b/docs/source/contributor-guide/quarterly_roadmap.md
index c593e859d..954638be1 100644
--- a/docs/source/contributor-guide/quarterly_roadmap.md
+++ b/docs/source/contributor-guide/quarterly_roadmap.md
@@ -49,6 +49,8 @@ A quarterly roadmap will be published to give the DataFusion community visibilit
 
 - Make production ready
   - Shuffle file cleanup
+    - Periodically
+    - Add grpc interface for clients to actively call the cleanup for a job or the whole system
   - Fill functional gaps between DataFusion and Ballista
   - Improve task scheduling and data exchange efficiency
   - Better error handling
@@ -57,6 +59,13 @@ A quarterly roadmap will be published to give the DataFusion community visibilit
     - Schedule restart
   - Improve monitoring and logging
   - Auto scaling support
+  - Better configuration management
+- All-at-once job task scheduling
+- Shuffle improvement
+  - Shuffle memory control
+  - Improve shuffle IO to avoid producing too many files
+  - Support sort-based shuffle
+  - Support range partition
 - Support for multi-scheduler deployments. Initially for resiliency and fault tolerance but ultimately to support sharding for scalability and more efficient caching.
 - Executor deployment grouping based on resource allocation