rok commented on code in PR #52580:
URL: https://github.com/apache/arrow/pull/52580#discussion_r4359344813


##########
python/pyarrow/tests/parquet/test_parquet_writer.py:
##########
@@ -41,6 +41,82 @@
 pytestmark = pytest.mark.parquet
 
 
[email protected]("page_version, minimum", [
+    ("1.0", None),
+    ("2.0", None),
+    ("2.0", 0.0),
+    ("2.0", 0.1),
+    ("2.0", 1.0),
+])
[email protected]("compression", ["none", "snappy"])
[email protected]("use_writer", [False, True])
+def test_min_space_savings(
+        minimum, page_version, compression, use_writer):
+    table = pa.table({
+        "value": pa.array([0.0] * 1000, type=pa.float32())
+    })
+    sink = pa.BufferOutputStream()
+    options = dict(
+        compression=compression,
+        use_dictionary=False,
+        data_page_version=page_version,
+        min_space_savings=minimum,
+    )
+
+    if use_writer:
+        with pq.ParquetWriter(sink, table.schema, **options) as writer:
+            writer.write_table(table)
+    else:
+        pq.write_table(table, sink, **options)
+
+    buf = sink.getvalue()
+    assert pq.read_table(buf).equals(table)
+
+    column = pq.ParquetFile(buf).metadata.row_group(0).column(0)
+    expect_uncompressed = (
+        compression == "none"
+        or (page_version == "2.0" and minimum == 1.0)
+    )
+    if expect_uncompressed:
+        assert column.total_compressed_size == column.total_uncompressed_size
+    else:
+        assert column.total_compressed_size < column.total_uncompressed_size
+
+

Review Comment:
   How about a threshold test too? Note this requires adding a random import.
   ```suggestion
   def _v2_column_chunk(table, **options):
       sink = pa.BufferOutputStream()
       pq.write_table(table, sink, compression="snappy", use_dictionary=False,
                      data_page_version="2.0", **options)
       return pq.ParquetFile(sink.getvalue()).metadata.row_group(0).column(0)
   
   
   def test_min_space_savings_threshold():
       rng = random.Random(42)
       values = [rng.randrange(16) for _ in range(1000)]
       table = pa.table({"v": pa.array(values, pa.int32())})
   
       base = _v2_column_chunk(table)
       savings = 1 - base.total_compressed_size / base.total_uncompressed_size
       assert 0.1 < savings < 0.9
   
       kept = _v2_column_chunk(table, min_space_savings=savings - 0.05)
       assert kept.total_compressed_size == base.total_compressed_size
   
       dropped = _v2_column_chunk(table, min_space_savings=savings + 0.05)
       assert dropped.total_compressed_size == dropped.total_uncompressed_size
       assert dropped.compression == "SNAPPY"
   ```



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