sdd commented on code in PR #1017:
URL: https://github.com/apache/iceberg-rust/pull/1017#discussion_r2196737201


##########
crates/iceberg/src/arrow/caching_delete_file_loader.rs:
##########
@@ -308,28 +319,231 @@ impl CachingDeleteFileLoader {
         Ok(result)
     }
 
-    /// Parses record batch streams from individual equality delete files
-    ///
-    /// Returns an unbound Predicate for each batch stream
     async fn parse_equality_deletes_record_batch_stream(
-        streams: ArrowRecordBatchStream,
+        mut stream: ArrowRecordBatchStream,
+        equality_ids: HashSet<i32>,
     ) -> Result<Predicate> {
-        // TODO
+        let mut result_predicate = AlwaysTrue;
+
+        while let Some(record_batch) = stream.next().await {
+            let record_batch = record_batch?;
+
+            if record_batch.num_columns() == 0 {
+                return Ok(AlwaysTrue);
+            }
+
+            let batch_schema_arrow = record_batch.schema();
+            let batch_schema_iceberg = 
arrow_schema_to_schema(batch_schema_arrow.as_ref())?;
+
+            let mut datum_columns_with_names: Vec<_> = record_batch
+                .columns()
+                .iter()
+                .zip(batch_schema_iceberg.as_struct().fields())
+                // only use columns that are in the set of equality_ids for 
this delete file
+                .filter(|(field, value)| equality_ids.contains(&value.id))
+                .map(|(column, field)| {
+                    let col_as_datum_vec = 
arrow_array_to_datum_iterator(column, field);
+                    col_as_datum_vec.map(|c| (c, field.name.to_string()))
+                })
+                .try_collect()?;
+
+            // consume all the iterators in lockstep, creating per-row 
predicates that get combined
+            // into a single final predicate
+
+            // (2025-06-12) can't use `is_empty` as it depends on unstable 
library feature `exact_size_is_empty`
+            #[allow(clippy::len_zero)]
+            while datum_columns_with_names[0].0.len() > 0 {
+                let mut row_predicate = AlwaysTrue;
+                for &mut (ref mut column, ref field_name) in &mut 
datum_columns_with_names {
+                    if let Some(item) = column.next() {
+                        if let Some(datum) = item? {
+                            row_predicate = row_predicate
+                                
.and(Reference::new(field_name.clone()).equal_to(datum.clone()));
+                        }
+                    }
+                }
+                result_predicate = result_predicate.and(row_predicate.not());

Review Comment:
   In fact it seems the logic in Java Iceberg is constructed the same way as I 
have done so. See 
https://github.com/apache/iceberg/blob/3f2267735b80c49f3cfc3e22c29bb610d1183582/data/src/main/java/org/apache/iceberg/data/DeleteFilter.java#L237



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