Disable Spark Catalog caching for integration tests (#501)

tests/conftest.py

@@ -1965,6 +1965,7 @@ def spark() -> SparkSession:
         .config("spark.sql.extensions", "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
         .config("spark.sql.catalog.integration", "org.apache.iceberg.spark.SparkCatalog")
         .config("spark.sql.catalog.integration.catalog-impl", "org.apache.iceberg.rest.RESTCatalog")
+        .config("spark.sql.catalog.integration.cache-enabled", "false")
         .config("spark.sql.catalog.integration.uri", "http://localhost:8181")
         .config("spark.sql.catalog.integration.io-impl", "org.apache.iceberg.aws.s3.S3FileIO")
         .config("spark.sql.catalog.integration.warehouse", "s3://warehouse/wh/")

tests/integration/test_writes.py

@@ -355,6 +355,28 @@ def test_data_files(spark: SparkSession, session_catalog: Catalog, arrow_table_w
     assert [row.deleted_data_files_count for row in rows] == [0, 0, 1, 0, 0]
 
 
+@pytest.mark.integration
+def test_python_writes_with_spark_snapshot_reads(
+    spark: SparkSession, session_catalog: Catalog, arrow_table_with_null: pa.Table
+) -> None:
+    identifier = "default.python_writes_with_spark_snapshot_reads"
+    tbl = _create_table(session_catalog, identifier, {"format-version": "1"}, [])
+
+    def get_current_snapshot_id(identifier: str) -> int:
+        return (
+            spark.sql(f"SELECT snapshot_id FROM {identifier}.snapshots order by committed_at desc limit 1")
+            .collect()[0]
+            .snapshot_id
+        )
+
+    tbl.overwrite(arrow_table_with_null)
+    assert tbl.current_snapshot().snapshot_id == get_current_snapshot_id(identifier)  # type: ignore
+    tbl.overwrite(arrow_table_with_null)
+    assert tbl.current_snapshot().snapshot_id == get_current_snapshot_id(identifier)  # type: ignore
+    tbl.append(arrow_table_with_null)
+    assert tbl.current_snapshot().snapshot_id == get_current_snapshot_id(identifier)  # type: ignore
+
+
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 @pytest.mark.parametrize(