prevent reading to return large arrow schema

crates/core/src/operations/transaction/state.rs

@@ -13,6 +13,7 @@ use datafusion_common::{Column, DFSchema};
 use datafusion_expr::{utils::conjunction, Expr};
 use itertools::Either;
 use object_store::ObjectStore;
+use parquet::arrow::arrow_reader::ArrowReaderOptions;
 use parquet::arrow::async_reader::{ParquetObjectReader, ParquetRecordBatchStreamBuilder};
 
 use crate::delta_datafusion::expr::parse_predicate_expression;
@@ -125,11 +126,14 @@ impl DeltaTableState {
         {
             let file_meta = add.try_into()?;
             let file_reader = ParquetObjectReader::new(object_store, file_meta);
-            let file_schema = ParquetRecordBatchStreamBuilder::new(file_reader)
-                .await?
-                .build()?
-                .schema()
-                .clone();
+            let file_schema = ParquetRecordBatchStreamBuilder::new_with_options(
+                file_reader,
+                ArrowReaderOptions::new().with_skip_arrow_metadata(true),
+            )
+            .await?
+            .build()?
+            .schema()
+            .clone();
 
             let table_schema = Arc::new(ArrowSchema::new(
                 self.arrow_schema()?

python/tests/test_delete.py

@@ -2,6 +2,7 @@
 
 import pyarrow as pa
 import pyarrow.compute as pc
+import pytest
 
 from deltalake.table import DeltaTable
 from deltalake.writer import write_deltalake
@@ -57,3 +58,26 @@ def test_delete_some_rows(existing_table: DeltaTable):
 
     table = existing_table.to_pyarrow_table()
     assert table.equals(expected_table)
+
+
+@pytest.mark.parametrize("engine", ["pyarrow", "rust"])
+def test_delete_large_dtypes(
+    tmp_path: pathlib.Path, sample_table: pa.table, engine: str
+):
+    write_deltalake(tmp_path, sample_table, large_dtypes=True, engine=engine)  # type: ignore
+
+    dt = DeltaTable(tmp_path)
+    old_version = dt.version()
+
+    existing = dt.to_pyarrow_table()
+    mask = pc.invert(pc.is_in(existing["id"], pa.array(["1"])))
+    expected_table = existing.filter(mask)
+
+    dt.delete(predicate="id = '1'")
+
+    last_action = dt.history(1)[0]
+    assert last_action["operation"] == "DELETE"
+    assert dt.version() == old_version + 1
+
+    table = dt.to_pyarrow_table()
+    assert table.equals(expected_table)

python/tests/test_update.py

@@ -52,6 +52,37 @@ def test_update_with_predicate(tmp_path: pathlib.Path, sample_table: pa.Table):
     assert result == expected
 
 
+def test_update_with_predicate_large_dtypes(
+    tmp_path: pathlib.Path, sample_table: pa.Table
+):
+    write_deltalake(tmp_path, sample_table, mode="append", large_dtypes=True)
+
+    dt = DeltaTable(tmp_path)
+
+    nrows = 5
+    expected = pa.table(
+        {
+            "id": pa.array(["1", "2", "3", "4", "5"]),
+            "price": pa.array(list(range(nrows)), pa.int64()),
+            "sold": pa.array(list(range(nrows)), pa.int64()),
+            "price_float": pa.array(list(range(nrows)), pa.float64()),
+            "items_in_bucket": pa.array([["item1", "item2", "item3"]] * nrows),
+            "deleted": pa.array([True, False, False, False, False]),
+        }
+    )
+
+    dt.update(
+        updates={"deleted": "True"},
+        predicate="id = '1'",
+    )
+
+    result = dt.to_pyarrow_table()
+    last_action = dt.history(1)[0]
+
+    assert last_action["operation"] == "UPDATE"
+    assert result == expected
+
+
 def test_update_wo_predicate(tmp_path: pathlib.Path, sample_table: pa.Table):
     write_deltalake(tmp_path, sample_table, mode="append")
 

python/tests/test_writer.py

@@ -994,6 +994,7 @@ def test_partition_overwrite_unfiltered_data_fails(
         )
 
 
+@pytest.mark.parametrize("large_dtypes", [True, False])
 @pytest.mark.parametrize(
     "value_1,value_2,value_type,filter_string",
     [
@@ -1008,6 +1009,7 @@ def test_replace_where_overwrite(
     value_2: Any,
     value_type: pa.DataType,
     filter_string: str,
+    large_dtypes: bool,
 ):
     table_path = tmp_path
 
@@ -1018,7 +1020,9 @@ def test_replace_where_overwrite(
             "val": pa.array([1, 1, 1, 1], pa.int64()),
         }
     )
-    write_deltalake(table_path, sample_data, mode="overwrite")
+    write_deltalake(
+        table_path, sample_data, mode="overwrite", large_dtypes=large_dtypes
+    )
 
     delta_table = DeltaTable(table_path)
     assert (
@@ -1049,6 +1053,7 @@ def test_replace_where_overwrite(
         mode="overwrite",
         predicate="p1 = '1'",
         engine="rust",
+        large_dtypes=large_dtypes,
     )
 
     delta_table.update_incremental()