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Update roadmap with features completed (#1464)
Thanks to the work of @rdettai @xudong963 and others, we are making great progress here Also added #122 as @liukun4515 is actively working on it cc @hntd187
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docs/source/specification/roadmap.md

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## Additional SQL Language Features
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- Decimal Support [#122](https://github.com/apache/arrow-datafusion/issues/122)
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- Complete support list on [status](https://github.com/apache/arrow-datafusion/blob/master/README.md#status)
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- Timestamp Arithmetic [#194](https://github.com/apache/arrow-datafusion/issues/194)
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- SQL Parser extension point [#533](https://github.com/apache/arrow-datafusion/issues/533)
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- Support for nested structures (fields, lists, structs) [#119](https://github.com/apache/arrow-datafusion/issues/119)
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- Remaining Set Operators (`INTERSECT` / `EXCEPT`) [#1082](https://github.com/apache/arrow-datafusion/issues/1082)
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- Run all queries from the TPCH benchmark (see [milestone](https://github.com/apache/arrow-datafusion/milestone/2) for more details)
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## Query Optimizer
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- Additional constant folding / partial evaluation [#1070](https://github.com/apache/arrow-datafusion/issues/1070)
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- More sophisticated cost based optimizer for join ordering
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- Implement advanced query optimization framework (Tokomak) #440
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- Finer optimizations for group by and aggregate functions
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## Datasources
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- 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)
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- Support for partitioned datasources [#1139](https://github.com/apache/arrow-datafusion/issues/1139) and make the integration of other table formats (Delta, Iceberg...) simpler
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- Improve performances of file format datasources (parallelize file listings, async Arrow readers, file chunk prefetching capability...)
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## Runtime / Infrastructure

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