Blizzara opened a new pull request, #10874:
URL: https://github.com/apache/datafusion/pull/10874

   DataFusion (or really Arrow) is quite strict about nullability, 
specifically, when using e.g. `LogicalPlan::Values`, the given schema must 
match the given literals exactly - including nullability.
   This is non-trivial to do when converting schema and literals separately 
like we do.
   
   The existing implementation for from_substrait_literal already creates lists 
that are always nullable
   (see ScalarValue::new_list => array_into_list_array). This reverts part of 
https://github.com/apache/datafusion/pull/10640 to align from_substrait_type 
with that behavior.
   
   This is the error I was hitting:
   ```
   ArrowError(InvalidArgumentError("column types must match schema types, 
expected
   List(Field { name: \"item\", data_type: Int32, nullable: false, dict_id: 0, 
dict_is_ordered: false, metadata: {} }) but found
   List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, 
dict_is_ordered: false, metadata: {} }) at column index 0"), None)
   ```
   
   ## Which issue does this PR close?
   
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   Tested through existing unit tests + manually the failing case I had.
   
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