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Update roadmap with features completed #1464

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Dec 18, 2021
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Update roadmap with features completed #1464

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4 changes: 1 addition & 3 deletions docs/source/specification/roadmap.md
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Expand Up @@ -49,24 +49,22 @@ to provide:

## Additional SQL Language Features

- Decimal Support [#122](https://github.com/apache/arrow-datafusion/issues/122)
- Complete support list on [status](https://github.com/apache/arrow-datafusion/blob/master/README.md#status)
- Timestamp Arithmetic [#194](https://github.com/apache/arrow-datafusion/issues/194)
- SQL Parser extension point [#533](https://github.com/apache/arrow-datafusion/issues/533)
- Support for nested structures (fields, lists, structs) [#119](https://github.com/apache/arrow-datafusion/issues/119)
- Remaining Set Operators (`INTERSECT` / `EXCEPT`) [#1082](https://github.com/apache/arrow-datafusion/issues/1082)
- Run all queries from the TPCH benchmark (see [milestone](https://github.com/apache/arrow-datafusion/milestone/2) for more details)

## Query Optimizer

- Additional constant folding / partial evaluation [#1070](https://github.com/apache/arrow-datafusion/issues/1070)
- More sophisticated cost based optimizer for join ordering
- Implement advanced query optimization framework (Tokomak) #440
- Finer optimizations for group by and aggregate functions

## Datasources

- Better support for reading data from remote filesystems (e.g. S3) without caching it locally [#907](https://github.com/apache/arrow-datafusion/issues/907) [#1060](https://github.com/apache/arrow-datafusion/issues/1060)
- Support for partitioned datasources [#1139](https://github.com/apache/arrow-datafusion/issues/1139) and make the integration of other table formats (Delta, Iceberg...) simpler
- Improve performances of file format datasources (parallelize file listings, async Arrow readers, file chunk prefetching capability...)

## Runtime / Infrastructure
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