Gowthami03B commented on code in PR #614:
URL: https://github.com/apache/iceberg-python/pull/614#discussion_r1657080281
##########
tests/integration/test_inspect_table.py:
##########
@@ -445,3 +445,109 @@ def check_pyiceberg_df_equals_spark_df(df: pa.Table,
spark_df: DataFrame) -> Non
df = tbl.inspect.partitions(snapshot_id=snapshot.snapshot_id)
spark_df = spark.sql(f"SELECT * FROM {identifier}.partitions VERSION
AS OF {snapshot.snapshot_id}")
check_pyiceberg_df_equals_spark_df(df, spark_df)
+
+
+@pytest.mark.integration
+@pytest.mark.parametrize("format_version", [1, 2])
+def test_inspect_files(
+ spark: SparkSession, session_catalog: Catalog, arrow_table_with_null:
pa.Table, format_version: int
+) -> None:
+ identifier = "default.table_metadata_files"
+
+ tbl = _create_table(session_catalog, identifier,
properties={"format-version": format_version})
+
+ tbl.overwrite(arrow_table_with_null)
+
+ # append more data
+ tbl.append(arrow_table_with_null)
+
+ df = tbl.refresh().inspect.files()
+
Review Comment:
Did this to only a subset of fields as the map type fields and readable
metrics need special processing.
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