Donate Ray SQL to the DataFusion Project #1
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* Make distributed execution work * fix tips.py * fixes; incorporate changes from apache#32
* Experimenting with supporting DDL * update docs
…he#36) * Optimize Ray shuffle with zero-copy object store * remove more clones * change bytes to pyarrow.array * revert /tmp * remove empty_result_set * remove empty_result_set * Fix input partition count bug
Co-authored-by: ivanfan <[email protected]>
* delta support * imports
* Update DataFusion version * update example
* Upgrade to DataFusion 33 * undo release profile change
* Create rust.yml * install protobuf
Signed-off-by: Austin Liu <[email protected]>
Signed-off-by: Austin Liu <[email protected]>
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Rationale for this change
It seems like the community has some consensus based on this thread. Thanks to all the helpful feedbacks! Big thanks to all the initial contributors @andygrove @franklsf95 @Ivankings @raviranak of datafusion-contrib/ray-sql
We might need to polish the readme a bit to reflect the new purpose and targeted position.
And update the new TPC-H@100G benchmark results as well, which were compared against DF v41 on single node setup tested by @andygrove .