DataFrame.except() does not work with structs in schema

[rtyler]

Describe the bug

When taking two DataFrame objects and running except the function fails when there are Structs in the schema, but succeeds with more simple schemas.

For example, this works:

        let schema = Arc::new(Schema::new(vec![Field::new(
            "value",
            DataType::Int32,
            true),
        ]));
        let batch = RecordBatch::try_new(
            Arc::clone(&schema),
            vec![
                Arc::new(Int32Array::from(vec![Some(1), Some(2), Some(3)])),
                ])
        .unwrap();

        let updated_batch = RecordBatch::try_new(
            Arc::clone(&schema),
            vec![
                Arc::new(Int32Array::from(vec![Some(1), Some(12), Some(3)])),
            ],
        )
        .unwrap();
        let _ = datafusion::arrow::util::pretty::print_batches(&[batch.clone()]);
        let _ = datafusion::arrow::util::pretty::print_batches(&[updated_batch.clone()]);

        let ctx = SessionContext::new();
        let before = ctx.read_batch(batch).expect("Failed to make DataFrame");
        let after = ctx.read_batch(updated_batch).expect("Failed to make DataFrame");

        let diff = before.except(after).expect("Failed to except").collect().await.expect("Failed to diff");
        assert_eq!(diff.len(), 1);

To Reproduce

        let nested_schema = Arc::new(Schema::new(vec![
            Field::new("id", DataType::Int32, true),
            Field::new("lat", DataType::Int32, true),
            Field::new("long", DataType::Int32, true),
        ]));
        let schema = Arc::new(Schema::new(vec![Field::new(
            "value",
            DataType::Int32,
            true),
            Field::new("nested",
                DataType::Struct(nested_schema.fields.clone()),
                true)
        ]));
        let batch = RecordBatch::try_new(
            Arc::clone(&schema),
            vec![
                Arc::new(Int32Array::from(vec![Some(1), Some(2), Some(3)])),
                Arc::new(StructArray::from(vec![
                    (
                        Arc::new(Field::new("id", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    (
                        Arc::new(Field::new("lat", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    (
                        Arc::new(Field::new("long", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    ]))
                ])
        .unwrap();

        let updated_batch = RecordBatch::try_new(
            Arc::clone(&schema),
            vec![
                Arc::new(Int32Array::from(vec![Some(1), Some(12), Some(3)])),
                Arc::new(StructArray::from(vec![
                    (
                        Arc::new(Field::new("id", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    (
                        Arc::new(Field::new("lat", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    (
                        Arc::new(Field::new("long", DataType::Int32, true)),
                        Arc::new(Int32Array::from(vec![1,2,3])) as ArrayRef
                    ),
                    ]))
            ],
        )
        .unwrap();
        let _ = datafusion::arrow::util::pretty::print_batches(&[batch.clone()]);
        let _ = datafusion::arrow::util::pretty::print_batches(&[updated_batch.clone()]);

        let ctx = SessionContext::new();
        let before = ctx.read_batch(batch).expect("Failed to make DataFrame");
        let after = ctx.read_batch(updated_batch).expect("Failed to make DataFrame");

        let diff = before.except(after).expect("Failed to except").collect().await.expect("Failed to diff");
        assert_eq!(diff.len(), 1);

Expected behavior

I would expect the above to pass assertions, instead this output is produced:

running 2 tests
test tests::test_simple ... ok
test tests::test_with_struct ... FAILED

failures:

---- tests::test_with_struct stdout ----
+-------+--------------------------+
| value | nested                   |
+-------+--------------------------+
| 1     | {id: 1, lat: 1, long: 1} |
| 2     | {id: 2, lat: 2, long: 2} |
| 3     | {id: 3, lat: 3, long: 3} |
+-------+--------------------------+
+-------+--------------------------+
| value | nested                   |
+-------+--------------------------+
| 1     | {id: 1, lat: 1, long: 1} |
| 12    | {id: 2, lat: 2, long: 2} |
| 3     | {id: 3, lat: 3, long: 3} |
+-------+--------------------------+
thread 'tests::test_with_struct' panicked at except-df-bug/src/lib.rs:74:84:
Failed to diff: ArrowError(InvalidArgumentError("Invalid comparison operation: Struct([Field { name: \"id\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: \"lat\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: \"long\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) IS NOT DISTINCT FROM Struct([Field { name: \"id\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: \"lat\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: \"long\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }])"), None)
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace


failures:
    tests::test_with_struct

test result: FAILED. 1 passed; 1 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.01s

Additional context

I should also note that I tested this with DataFusion 37 and 38, same results.

[marvinlanhenke]

I just skimmed this real quick, so I might be wrong here.

But might the issue be rooted at arrow-rs itself:
https://github.com/apache/arrow-rs/blob/master/arrow-ord/src/cmp.rs#L219-L223

l_t.is_nested() in our case - which should return the Err.

@alamb @tustvold

[jayzhan211]

I just skimmed this real quick, so I might be wrong here.

But might the issue be rooted at arrow-rs itself: https://github.com/apache/arrow-rs/blob/master/arrow-ord/src/cmp.rs#L219-L223

l_t.is_nested() in our case - which should return the Err.

@alamb @tustvold

The next arrow-rs release will support nested comparison apache/arrow-rs#5792

[rtyler]

arrow 52 has been released with the fix but the underlying Invalid comparison operation still crops out. I'm trying to trace the code up through LogicalPlanBuilder to find the source of where the error is being generated 😕