progval opened a new issue, #9463:
URL: https://github.com/apache/arrow-datafusion/issues/9463
### Describe the bug
ORDER BY is ignored when COPYing from an arrow table to a csv file.
I found this behavior on both `MemTable` and tables created from ORC files
with `pyarrow`.
### To Reproduce
```rust
use std::sync::Arc;
use datafusion::arrow::array::PrimitiveArray;
use datafusion::arrow::datatypes::{DataType, Field, Schema, Int64Type};
use datafusion::arrow::record_batch::RecordBatch;
use datafusion::prelude::*;
use datafusion::datasource::MemTable;
#[tokio::main]
async fn main() {
let ctx = SessionContext::new();
let schema = Arc::new(Schema::new(vec![Field::new("value",
DataType::Int64, false)]));
let column: PrimitiveArray<Int64Type> = vec![2, 1, 3].into();
let partition = RecordBatch::try_new(schema.clone(),
vec![Arc::new(column)]).unwrap();
let table = MemTable::try_new(schema, vec![vec![partition]]).unwrap();
ctx.register_table("content", Arc::new(table)).unwrap();
let df = ctx.sql("COPY (SELECT value FROM content) TO
'/tmp/output.csv'").await.unwrap();
df.collect().await.unwrap();
}
```
Outputs:
```
value
2
1
3
```
### Expected behavior
Output should be:
```
value
1
2
3
```
### Additional context
_No response_
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