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fn_registry/python/functions/bigquery/bq_get_table.md
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 16:33:22 +02:00

1.8 KiB

name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path
name kind lang domain version purity signature description tags uses_functions uses_types returns returns_optional error_type imports params output tested tests test_file_path file_path
bq_get_table function py infra 1.0.0 impure def bq_get_table(client: BQClient, dataset_id: str, table_id: str) -> dict Obtiene los metadatos completos de una tabla BigQuery incluyendo schema, estadisticas y configuracion. Usa client._client.get_table() del SDK oficial.
bigquery
gcp
table
get
google-cloud
python
pendiente-usar
extractor
false error_go_core
google-cloud-bigquery
name desc
client cliente autenticado BQClient obtenido con bq_auth
name desc
dataset_id ID del dataset que contiene la tabla
name desc
table_id nombre (ID) de la tabla a consultar
dict con metadata completa: table_id, dataset_id, project, full_id, schema (lista de dicts), num_rows, num_bytes, created (ISO 8601), modified (ISO 8601), type, partitioning, clustering, description, labels false
python/functions/bigquery/tables.py

Ejemplo

from bigquery import bq_auth, bq_get_table

client = bq_auth("mi-proyecto")

tabla = bq_get_table(client, "ventas_ds", "transacciones")
print(tabla["full_id"])          # mi-proyecto.ventas_ds.transacciones
print(tabla["num_rows"])         # filas totales
print(tabla["num_bytes"])        # bytes almacenados
for col in tabla["schema"]:
    print(col["name"], col["type"], col["mode"])

Notas

num_rows y num_bytes son estadisticas actualizadas por BigQuery periodicamente (pueden tener un pequeno retraso). El campo type puede ser TABLE, VIEW, MATERIALIZED_VIEW o EXTERNAL. partitioning es None si la tabla no tiene particionamiento. created y modified estan en formato ISO 8601.