_DeleteFiles.delete_data_file() silently drops explicit file references
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Evaluación
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Aptitud para principiantes
- 72/100
Línea de trabajo
Empieza en pyiceberg/table/update/snapshot.py, en _DeleteFiles._compute_deletes, alrededor de la línea 598, y sigue cómo delete_data_file() registra los archivos especificados explícitamente. Ejecuta la reproducción del issue y verifica después que un archivo de datos referenciado explícitamente se elimine tras el commit, mientras que la eliminación basada en predicados siga funcionando. Se considera terminado cuando la tabla está vacía en lugar de conservar [1, 2, 3].
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Description
_DeleteFiles.delete_data_file() silently drops explicit file references because _compute_deletes resets self._deleted_data_files = set() before scanning manifests by predicate.
The delete_data_file() method is inherited from _SnapshotProducer and adds to self._deleted_data_files. However, when _DeleteFiles._compute_deletes runs (triggered by _deleted_entries()), it resets this field to an empty set and repopulates it only from files matched by the predicate evaluator. Any explicitly added files are silently lost.
While the high-level table.delete() API only uses predicates (so this isn't hit in normal usage), the low-level update_snapshot().delete() API exposes delete_data_file() as a public method. Calling it produces no error and no effect.
Reproduction
import pyarrow as pa
from pyiceberg.catalog import load_catalog
from pyiceberg.schema import Schema
from pyiceberg.types import LongType, NestedField
catalog = load_catalog("default")
catalog.create_namespace("default")
table = catalog.create_table(
"default.delete_explicit",
Schema(NestedField(1, "x", LongType(), required=False)),
)
table.append(pa.table({"x": [1, 2, 3]}))
data_file = next(iter(table.scan().plan_files())).file
# This should delete the file but silently does nothing
with table.transaction() as tx:
delete_snapshot = tx.update_snapshot().delete()
delete_snapshot.delete_data_file(data_file)
# Bug: table still has [1, 2, 3]
print(table.scan().to_arrow()["x"].to_pylist())
Expected: table is empty after commit.
Actual: table still has [1, 2, 3].
Root cause
In pyiceberg/table/update/snapshot.py, _DeleteFiles._compute_deletes (line ~598):
self._deleted_data_files = set() # <-- overwrites any explicit files added via delete_data_file()
Then it repopulates from predicate matches only. Since no predicate was set (AlwaysFalse by default), nothing matches, nothing is deleted.
Suggested fix
Before resetting, preserve explicit files and include them in the deletion scan:
# Preserve files explicitly requested for deletion
explicit_deletes = set(self._deleted_data_files)
self._deleted_data_files = set()
# ... existing predicate-based scan ...
# After the scan, also mark explicitly requested files as deleted:
for entry in manifest_entries:
if entry.data_file in explicit_deletes:
# mark as deleted
Alternatively, prevent calling delete_data_file() on _DeleteFiles entirely by raising NotImplementedError.
Related
Follow-up observation from #3818 review. The _OverwriteFiles path handles delete_data_file() correctly because it does not reset the field.
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