diff --git a/integrations/python/dataloader/pyproject.toml b/integrations/python/dataloader/pyproject.toml index 79fbd4063..64600cf76 100644 --- a/integrations/python/dataloader/pyproject.toml +++ b/integrations/python/dataloader/pyproject.toml @@ -35,6 +35,10 @@ dev = [ "mypy>=1.14.0", "types-requests>=2.31.0", "opentelemetry-sdk>=1.41.1", + # Test-only: enables PyIceberg's InMemoryCatalog (SqlCatalog over SQLite) and + # partition-transform support for end-to-end split-pruning tests. + "sqlalchemy>=2.0.0", + "pyiceberg-core>=0.5.1,<0.9.0", ] [tool.hatch.version] diff --git a/integrations/python/dataloader/src/openhouse/dataloader/filters.py b/integrations/python/dataloader/src/openhouse/dataloader/filters.py index 248012c2c..a725eaa5e 100644 --- a/integrations/python/dataloader/src/openhouse/dataloader/filters.py +++ b/integrations/python/dataloader/src/openhouse/dataloader/filters.py @@ -326,25 +326,27 @@ def _escape_like(value: str) -> str: def _literal_to_sql(value: object) -> str: - """Convert a Python literal to a SQL literal string using sqlglot.""" + """Convert a Python literal to a SQL literal string using sqlglot. + + Datetime/date/time values are emitted as plain string literals (ISO format). + DataFusion implicitly coerces string literals to the column type at execution, + and PyIceberg promotes StringLiteral to the matching typed literal during expression binding. + """ if isinstance(value, str): return exp.Literal.string(value).sql() if isinstance(value, bool): return exp.Boolean(this=True).sql() if value else exp.Boolean(this=False).sql() if isinstance(value, datetime): - lit = exp.Literal.string(value.strftime("%Y-%m-%d %H:%M:%S.%f%z")) - return exp.Cast(this=lit, to=exp.DataType.build("TIMESTAMP")).sql() + return exp.Literal.string(value.isoformat()).sql() if isinstance(value, date): - lit = exp.Literal.string(value.isoformat()) - return exp.Cast(this=lit, to=exp.DataType.build("DATE")).sql() + return exp.Literal.string(value.isoformat()).sql() if isinstance(value, time): if value.tzinfo is not None: raise TypeError( "DataFusion does not support timezones for time data types. " "The time should match the timezone used in the dataset." ) - lit = exp.Literal.string(value.strftime("%H:%M:%S.%f")) - return exp.Cast(this=lit, to=exp.DataType.build("TIME")).sql() + return exp.Literal.string(value.isoformat()).sql() if isinstance(value, (int, float)): if isinstance(value, float) and not math.isfinite(value): return exp.Cast(this=exp.Literal.string(str(value)), to=exp.DataType.build("DOUBLE")).sql() diff --git a/integrations/python/dataloader/tests/test_data_loader.py b/integrations/python/dataloader/tests/test_data_loader.py index c120d2ba7..1f8ac7fe6 100644 --- a/integrations/python/dataloader/tests/test_data_loader.py +++ b/integrations/python/dataloader/tests/test_data_loader.py @@ -1077,3 +1077,67 @@ def test_projection_udf_with_mixed_case_materializes(tmp_path): assert result.column("policyField").to_pylist() == ["policy_a", "policy_b", "policy_c"] # foo returns True; NOT True = False; bar(False, val, ...) returns val (not replaced) assert result.column("otherField").to_pylist() == ["x", "y", "z"] + + +# --- End-to-end partition pruning --- + + +def _build_partitioned_table(tmp_path, days: list): + """Create a day(ts)-partitioned Iceberg table and write one file per day. + + Uses PyIceberg's InMemoryCatalog (SQLite-backed SqlCatalog) so that + `scan().plan_files()` runs the real manifest pruning logic. + """ + import datetime as _dt + + from pyiceberg.catalog.memory import InMemoryCatalog + from pyiceberg.partitioning import PartitionField, PartitionSpec + from pyiceberg.transforms import DayTransform + from pyiceberg.types import TimestampType + + schema = Schema( + NestedField(field_id=1, name=COL_ID, field_type=LongType(), required=False), + NestedField(field_id=2, name="ts", field_type=TimestampType(), required=False), + ) + spec = PartitionSpec( + PartitionField(source_id=2, field_id=1000, transform=DayTransform(), name="ts_day"), + ) + catalog = InMemoryCatalog("test", warehouse=f"file://{tmp_path}") + catalog.create_namespace("db") + table = catalog.create_table("db.tbl", schema=schema, partition_spec=spec) + + arrow_schema = pa.schema([pa.field(COL_ID, pa.int64()), pa.field("ts", pa.timestamp("us"))]) + for i, day in enumerate(days): + batch = pa.Table.from_pydict({COL_ID: [i], "ts": [_dt.datetime.combine(day, _dt.time())]}, schema=arrow_schema) + table.append(batch) + return catalog + + +def test_e2e_datetime_filter_prunes_files_to_expected_splits(tmp_path): + """End-to-end: a datetime filter on a day-partitioned table reduces the + plan_files() output. Verifies the full path from filter DSL through SQL + emission, scan_optimizer, PyIceberg expression binding, and manifest pruning. + """ + import datetime as _dt + + days = [_dt.date(2026, 5, 2), _dt.date(2026, 5, 3), _dt.date(2026, 5, 8)] + catalog = _build_partitioned_table(tmp_path, days) + + # No filter: every partition is scanned. + all_splits = list(OpenHouseDataLoader(catalog=catalog, database="db", table="tbl")) + assert len(all_splits) == 3 + + # Range filter: only the two May 2-3 partitions should be planned. + range_filter = (col("ts") >= _dt.datetime(2026, 5, 2)) & (col("ts") < _dt.datetime(2026, 5, 4)) + range_splits = list(OpenHouseDataLoader(catalog=catalog, database="db", table="tbl", filters=range_filter)) + assert len(range_splits) == 2 + paths = [t.file.file_path for s in range_splits for t in s._file_scan_tasks] + assert all("ts_day=2026-05-02" in p or "ts_day=2026-05-03" in p for p in paths) + assert not any("ts_day=2026-05-08" in p for p in paths) + + # Tight filter: only the May 8 partition. + tight_filter = col("ts") >= _dt.datetime(2026, 5, 8) + tight_splits = list(OpenHouseDataLoader(catalog=catalog, database="db", table="tbl", filters=tight_filter)) + assert len(tight_splits) == 1 + [tight_task] = tight_splits[0]._file_scan_tasks + assert "ts_day=2026-05-08" in tight_task.file.file_path diff --git a/integrations/python/dataloader/tests/test_filters.py b/integrations/python/dataloader/tests/test_filters.py index 67d2d3f08..2bc74e612 100644 --- a/integrations/python/dataloader/tests/test_filters.py +++ b/integrations/python/dataloader/tests/test_filters.py @@ -356,58 +356,55 @@ class TestDataFusionLiteralConversion: def test_datetime_greater_than_or_equal(self): dt = datetime(2026, 4, 27, tzinfo=UTC) result = _to_datafusion_sql(col("datepartition") >= dt) - assert result == "\"datepartition\" >= CAST('2026-04-27 00:00:00.000000+0000' AS TIMESTAMP)" + assert result == "\"datepartition\" >= '2026-04-27T00:00:00+00:00'" def test_datetime_equal(self): dt = datetime(2026, 4, 27, 12, 30, 45, tzinfo=UTC) result = _to_datafusion_sql(col("ts") == dt) - assert result == "\"ts\" = CAST('2026-04-27 12:30:45.000000+0000' AS TIMESTAMP)" + assert result == "\"ts\" = '2026-04-27T12:30:45+00:00'" def test_datetime_with_microseconds(self): dt = datetime(2026, 4, 27, 12, 30, 45, 123456, tzinfo=UTC) result = _to_datafusion_sql(col("ts") == dt) - assert result == "\"ts\" = CAST('2026-04-27 12:30:45.123456+0000' AS TIMESTAMP)" + assert result == "\"ts\" = '2026-04-27T12:30:45.123456+00:00'" def test_datetime_non_utc_timezone_preserved(self): dt = datetime(2026, 4, 27, 12, 0, 0, tzinfo=timezone(timedelta(hours=5))) result = _to_datafusion_sql(col("ts") >= dt) - assert result == "\"ts\" >= CAST('2026-04-27 12:00:00.000000+0500' AS TIMESTAMP)" + assert result == "\"ts\" >= '2026-04-27T12:00:00+05:00'" def test_datetime_naive_no_offset(self): dt = datetime(2026, 4, 27, 12, 0, 0) result = _to_datafusion_sql(col("ts") >= dt) - assert result == "\"ts\" >= CAST('2026-04-27 12:00:00.000000' AS TIMESTAMP)" + assert result == "\"ts\" >= '2026-04-27T12:00:00'" def test_date_greater_than_or_equal(self): d = date(2026, 4, 27) result = _to_datafusion_sql(col("datepartition") >= d) - assert result == "\"datepartition\" >= CAST('2026-04-27' AS DATE)" + assert result == "\"datepartition\" >= '2026-04-27'" def test_datetime_between(self): dt1 = datetime(2026, 4, 27, tzinfo=UTC) dt2 = datetime(2026, 5, 1, tzinfo=UTC) result = _to_datafusion_sql(col("ts").between(dt1, dt2)) - assert result == ( - "\"ts\" BETWEEN CAST('2026-04-27 00:00:00.000000+0000' AS TIMESTAMP)" - " AND CAST('2026-05-01 00:00:00.000000+0000' AS TIMESTAMP)" - ) + assert result == "\"ts\" BETWEEN '2026-04-27T00:00:00+00:00' AND '2026-05-01T00:00:00+00:00'" def test_datetime_in_compound_filter(self): dt = datetime(2026, 4, 27, tzinfo=UTC) f = (col("datepartition") >= dt) & (col("status") == "active") result = _to_datafusion_sql(f) - assert "CAST('2026-04-27 00:00:00.000000+0000' AS TIMESTAMP)" in result + assert "'2026-04-27T00:00:00+00:00'" in result assert "\"status\" = 'active'" in result def test_time_equal(self): t = time(14, 30, 0) result = _to_datafusion_sql(col("event_time") == t) - assert result == "\"event_time\" = CAST('14:30:00.000000' AS TIME)" + assert result == "\"event_time\" = '14:30:00'" def test_time_with_microseconds(self): t = time(14, 30, 0, 500000) result = _to_datafusion_sql(col("event_time") == t) - assert result == "\"event_time\" = CAST('14:30:00.500000' AS TIME)" + assert result == "\"event_time\" = '14:30:00.500000'" def test_time_with_timezone_rejected(self): t = time(14, 30, 0, tzinfo=timezone(timedelta(hours=5))) diff --git a/integrations/python/dataloader/tests/test_scan_optimizer.py b/integrations/python/dataloader/tests/test_scan_optimizer.py index 576e903c4..a1047bd12 100644 --- a/integrations/python/dataloader/tests/test_scan_optimizer.py +++ b/integrations/python/dataloader/tests/test_scan_optimizer.py @@ -169,6 +169,31 @@ def test_comparison_types(): assert plan.row_filter == expected_filter, f"row_filter mismatch for: {where_clause}" +def test_datetime_string_literals_pushed_as_strings(): + """`filters._literal_to_sql()` emits plain string literals for datetime/date/time + (see PR #569 + follow-up). The scan optimizer treats them as ordinary string + literals; PyIceberg promotes them to typed literals during expression binding + against the table schema, restoring partition pruning. + """ + cases = [ + ( + "\"x\" >= '2026-05-02T00:00:00+00:00'", + GreaterThanOrEqual("x", "2026-05-02T00:00:00+00:00"), + ), + ( + "\"x\" < '2026-05-04T00:00:00'", + LessThan("x", "2026-05-04T00:00:00"), + ), + ( + "\"x\" = '2026-05-02'", + EqualTo("x", "2026-05-02"), + ), + ] + for where_clause, expected_filter in cases: + plan = optimize_scan(f'SELECT "a" FROM "db"."tbl" WHERE {where_clause}') + assert plan.row_filter == expected_filter, f"row_filter mismatch for: {where_clause}; got {plan.row_filter!r}" + + def test_non_convertible_predicates_not_pushed(): """Predicates with functions or column-vs-column are not pushed.""" cases = [ diff --git a/integrations/python/dataloader/uv.lock b/integrations/python/dataloader/uv.lock index 4aa161713..f7918277f 100644 --- 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