Overaggressive pruning of nested fields(?) breaks some valid queries unless parquet pushdown is disabled

Abierto
#27,253 1 comentario 0 reacciones 0 asignados Ver en GitHub

Los mantenedores suelen responder en 1 día

@ianthetechie ya está trabajando en esto.

Desde el 9/11/2026.

  • #27259 de @ianthetechie — abierto

Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
35/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
rust, sql

Línea de trabajo

Start with the parquet reproducer in the issue and compare behavior with both pushdown settings enabled and disabled; the regression is reported between DataFusion 53.1.0 and 54.0.0. Trace nested field pruning and predicate pushdown to find why names.common is unavailable while evaluating the filter, then add a regression test for the original query. The issue links open pull request #27259, so check its status and discussion before taking this on.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

bug
Describe the bug

Valid queries against a parquet table with certain structural characteristics now fail with an execution error: Field common not found in struct.

As noted in the issue title, my guess is that this is due to overaggressive pruning of nested fields during pushdown, but that needs some further verification.

I have worked up a minimal reproducer (below) which you can replicate with the datafusion-cli.

To Reproduce
-- Set up: an external parquet table with a few rows.
-- Apologies for the somewhat oblique construction, but certain DataFusion versions
-- rejected a simpler version with map(['en'], [english]).
COPY (
    SELECT named_struct(
        'primary', local_name,
        'common', map([language], [english])
    ) AS names
    FROM (VALUES ('Local', 'en', 'English'), (NULL, 'en', 'Fallback'), ('', 'en', ''))
        AS input(local_name, language, english)
) TO '/tmp/datafusion-reproducer.parquet' STORED AS PARQUET;

CREATE EXTERNAL TABLE nested_names
STORED AS PARQUET
LOCATION '/tmp/datafusion-reproducer.parquet';

-- These are defaults for a while AFAIK but including for reproducibility.
SET datafusion.execution.parquet.pushdown_filters = true;
SET datafusion.optimizer.enable_leaf_expression_pushdown = true;

-- Expected:
-- +-----------------------------+
-- | nested_names.names[primary] |
-- +-----------------------------+
-- | Local                       |
-- | NULL                        |
-- +-----------------------------+
--
-- Actual:
-- Parquet error: External: External error: Error evaluating filter predicate
-- caused by
-- Execution error: Field common not found in struct
SELECT names.primary
FROM nested_names
WHERE coalesce(names.primary, names.common['en']) <> '';

SET datafusion.execution.parquet.pushdown_filters = false;
SET datafusion.optimizer.enable_leaf_expression_pushdown = false;

-- With BOTH of these settings disabled, it succeeds and returns Local and NULL.
-- It still fails if either one is true.
SELECT names.primary
FROM nested_names
WHERE coalesce(names.primary, names.common['en']) <> '';

-- Hacky SQL workaround: succeeds even with pushdown enabled.
SET datafusion.execution.parquet.pushdown_filters = true;
SET datafusion.optimizer.enable_leaf_expression_pushdown = true;

SELECT names.primary
FROM nested_names
WHERE coalesce(names.primary, map_extract(names.common, 'en')[1]) <> '';
Expected behavior

The original query should succeed as written with syntax like names.common['en'], without needing to disable predicate pushdown or SQL-level hacks.

Additional context

I haven't had a chance to do a full git bisect, but installing a few releases, I've narrowed it quite a bit. Release-wise, the bug first appeared in 54.0.0; 53.1.0 was fine, and it is still broken on main at the time of this writing.

Willingness to contribute

I would like to contribute a fix for this bug, but request guidance from the DataFusion community

Lenguaje dominante
Rust
Estrellas
9.6k
Forks
2.6k
Merge medio
3 d 4 h
PR fusionados (30 d)
345

Preparar el entorno

Abrir en Codespaces

Inicia el contenedor de desarrollo del proyecto en tu navegador, con tu propia cuenta de GitHub.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de apache/datafusion

Todos los issues de apache/datafusion

Issues similares

Más issues de Rust

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.