c-thiel commented on code in PR #2880:
URL: https://github.com/apache/iceberg-rust/pull/2880#discussion_r4446472161


##########
crates/iceberg/src/arrow/reader/projection.rs:
##########
@@ -237,6 +269,184 @@ impl ArrowReader {
         }
     }
 
+    /// Walks an Arrow `Fields` tree, recording `leaf_idx → variant_field_id` 
for every
+    /// leaf that sits inside a variant column (top-level or nested in a 
struct/list/map).
+    ///
+    /// The leaf numbering must match [`arrow_schema::Fields::filter_leaves`], 
since the
+    /// resulting map is consulted by index in the `filter_leaves` passes 
above. In
+    /// particular it mirrors `filter_leaves`' handling of 
`Dictionary`/`RunEndEncoded`
+    /// (unwrapped to their value type) and `Union` (each member counted) — 
otherwise a
+    /// mismatch would silently shift every variant leaf after it onto the 
wrong column.
+    fn collect_variant_leaves(
+        fields: &Fields,
+        leaf_idx: &mut usize,
+        variant_parent: Option<i32>,
+        iceberg_schema: &Schema,
+        leaf_field_id_set: &HashSet<i32>,
+        out: &mut HashMap<usize, i32>,
+    ) -> Result<()> {
+        for field in fields {
+            Self::collect_variant_leaves_in_field(
+                field,
+                leaf_idx,
+                variant_parent,
+                iceberg_schema,
+                leaf_field_id_set,
+                out,
+            )?;
+        }
+        Ok(())
+    }
+
+    fn collect_variant_leaves_in_field(
+        field: &FieldRef,
+        leaf_idx: &mut usize,
+        variant_parent: Option<i32>,
+        iceberg_schema: &Schema,
+        leaf_field_id_set: &HashSet<i32>,
+        out: &mut HashMap<usize, i32>,
+    ) -> Result<()> {
+        // Once inside a variant, stay inside; otherwise check whether this 
field is itself
+        // a variant column (its embedded field id resolves to 
`Type::Variant`).
+        let entering_variant = variant_parent.is_none();
+        let effective_variant = variant_parent.or_else(|| {
+            Self::field_variant_id(field, iceberg_schema)
+                .filter(|fid| leaf_field_id_set.contains(fid))
+        });
+
+        // Reject shredded variants: a `typed_value` sub-field means the 
payload is shredded,
+        // which we can't reconstruct yet. Projecting only metadata/value 
would silently drop
+        // it, so fail loudly instead.
+        if entering_variant
+            && effective_variant.is_some()
+            && let DataType::Struct(sub) = field.data_type()
+            && sub.iter().any(|f| f.name() == "typed_value")
+        {
+            return Err(Error::new(
+                ErrorKind::FeatureUnsupported,
+                "Reading shredded variant columns is not supported yet: found 
a `typed_value` \
+                 sub-field. Only unshredded variants (metadata + value) can be 
read.",
+            ));
+        }
+
+        // Mirror `Fields::filter_leaves`: unwrap `Dictionary`/`RunEndEncoded` 
to their value
+        // type before deciding whether this is a leaf or a nested type to 
descend into.
+        let data_type = match field.data_type() {
+            DataType::Dictionary(_, value) => value.as_ref(),
+            DataType::RunEndEncoded(_, value) => value.data_type(),
+            other => other,
+        };
+
+        match data_type {
+            DataType::Struct(sub) => {
+                Self::collect_variant_leaves(
+                    sub,
+                    leaf_idx,
+                    effective_variant,
+                    iceberg_schema,
+                    leaf_field_id_set,
+                    out,
+                )?;
+            }
+            DataType::List(inner)
+            | DataType::LargeList(inner)
+            | DataType::FixedSizeList(inner, _)
+            | DataType::Map(inner, _) => {
+                Self::collect_variant_leaves_in_field(
+                    inner,
+                    leaf_idx,
+                    effective_variant,
+                    iceberg_schema,
+                    leaf_field_id_set,
+                    out,
+                )?;
+            }
+            DataType::Union(union_fields, _) => {
+                for (_, inner) in union_fields.iter() {
+                    Self::collect_variant_leaves_in_field(
+                        inner,
+                        leaf_idx,
+                        effective_variant,
+                        iceberg_schema,
+                        leaf_field_id_set,
+                        out,
+                    )?;
+                }
+            }
+            _ => {
+                if let Some(vid) = effective_variant {
+                    out.insert(*leaf_idx, vid);
+                }
+                *leaf_idx += 1;
+            }
+        }
+        Ok(())
+    }
+
+    /// If `field`'s embedded Parquet field id resolves to `Type::Variant` in 
the Iceberg
+    /// schema, returns that id.
+    fn field_variant_id(field: &FieldRef, iceberg_schema: &Schema) -> 
Option<i32> {
+        let fid = field
+            .metadata()
+            .get(PARQUET_FIELD_ID_META_KEY)
+            .and_then(|s| i32::from_str(s).ok())?;
+        let iceberg_field = iceberg_schema.field_by_id(fid)?;
+        matches!(iceberg_field.field_type.as_ref(), 
Type::Variant(_)).then_some(fid)
+    }
+
+    /// Returns `fields` with the canonical `arrow.parquet.variant` extension 
attached to every
+    /// field the Iceberg schema declares as a variant (recursing into 
struct/list/map to reach
+    /// nested variants).
+    ///
+    /// This is how the read path recovers variant identity: the extension lets
+    /// `arrow_schema_to_schema` fold the storage struct back into 
`Type::Variant` instead of
+    /// descending into its id-less `metadata`/`value` sub-fields. Keying on 
the Iceberg schema
+    /// (rather than requiring the Parquet `variant` annotation to be present 
on the Arrow field)
+    /// mirrors iceberg-java's `TypeWithSchemaVisitor`, which recognizes a 
variant by the
+    /// annotation OR the Iceberg type.
+    fn attach_variant_extensions(fields: &Fields, iceberg_schema: &Schema) -> 
Fields {
+        fields
+            .iter()
+            .map(|field| Self::attach_variant_extension(field, iceberg_schema))
+            .collect()
+    }
+
+    fn attach_variant_extension(field: &FieldRef, iceberg_schema: &Schema) -> 
FieldRef {
+        // A variant's storage is a struct; tag it and don't descend — its 
metadata/value
+        // children are not themselves variants.
+        if Self::field_variant_id(field, iceberg_schema).is_some()
+            && matches!(field.data_type(), DataType::Struct(_))
+        {
+            return Arc::new(
+                field
+                    .as_ref()
+                    .clone()
+                    .with_extension_type(VariantExtensionType),
+            );
+        }
+        // Otherwise recurse into containers to reach nested variants.
+        let data_type = match field.data_type() {
+            DataType::Struct(children) => {
+                DataType::Struct(Self::attach_variant_extensions(children, 
iceberg_schema))
+            }
+            DataType::List(child) => {
+                DataType::List(Self::attach_variant_extension(child, 
iceberg_schema))
+            }
+            DataType::LargeList(child) => {
+                DataType::LargeList(Self::attach_variant_extension(child, 
iceberg_schema))
+            }
+            DataType::FixedSizeList(child, len) => {
+                DataType::FixedSizeList(Self::attach_variant_extension(child, 
iceberg_schema), *len)
+            }
+            DataType::Map(child, sorted) => DataType::Map(
+                Self::attach_variant_extension(child, iceberg_schema),
+                *sorted,
+            ),
+            _ => return field.clone(),

Review Comment:
   Agreed, I added that comment in c2835f9c3, on the `_` arm. It explains that 
the numbering walk enters Dictionary, RunEndEncoded and Union only to stay in 
step with `filter_leaves`, and that schemas read from Parquet never put a 
variant under them.
   
   It also can't go wrong silently. A variant stored under a Dictionary isn't a 
group, so validation rejects it with `DataInvalid`. And parquet-rs never 
produces RunEndEncoded or Union columns. Longer term, #3609 would replace both 
walks with a single one based on the Parquet schema, which removes the 
asymmetry entirely.
   



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