mustafasrepo opened a new pull request, #8356:
URL: https://github.com/apache/arrow-datafusion/pull/8356
## Which issue does this PR close?
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Closes #.
## Rationale for this change
Currently we can rewrite group by expressions according to primary key.
Consider query below
```sql
SELECT ts, sn, SUM(amount) as sum1
FROM sales_global_with_pk
GROUP BY sn
```
normally, after aggregation only `sn` and `SUM(amount) as sum1` would be
available for output. However, given `sn` is `PRIMARY_KEY`, we know that each
`sn` value maps to a fixed `ts` value (e.g They are functionally depandant).
Hence, by treating query above as
```sql
SELECT ts, sn, SUM(amount) as sum1
FROM sales_global_with_pk
GROUP BY ts, sn
```
under the hood, we can output `ts` also at the end. However, this feature
was only available with `SQL` API. See
[discussion](https://github.com/apache/arrow-datafusion/pull/7040#discussion_r1275339446).
This PR brings this support to the dataframe API also. With this PR
following dataframe query can be executed given `col_id` is `PRIMARY_KEY`.
``` rust
// group by contains id column
let group_expr = vec![col_id.clone()];
let aggr_expr = vec![];
let df = df.aggregate(group_expr, aggr_expr)?;
// expr list contains id, name (e.g projection)
let expr_list = vec![col_id, col_name];
let df = df.select(expr_list)?;
```
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## What changes are included in this PR?
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## Are these changes tested?
Yes, most of the changes comes from either plan tests, or `.slt` test
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## Are there any user-facing changes?
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