---
name: bq_get_dataset
kind: function
lang: py
domain: infra
version: "1.0.0"
purity: impure
signature: "def bq_get_dataset(client: BQClient, dataset_id: str) -> dict"
description: "Obtiene los detalles completos de un dataset de Google BigQuery. Usa client._client.get_dataset() del SDK oficial."
tags: [bigquery, gcp, dataset, get, google-cloud, python, pendiente-usar]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: [google-cloud-bigquery]
params:
  - name: client
    desc: "instancia autenticada de BQClient"
  - name: dataset_id
    desc: "nombre del dataset a consultar (sin prefijo de proyecto)"
output: "dict con dataset_id, project, full_id, location, description, labels, created, modified, default_table_expiration_ms"
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/bigquery/datasets.py"
---

## Ejemplo

```python
from bigquery.client import bq_auth
from bigquery.datasets import bq_get_dataset

client = bq_auth("my-project")
ds = bq_get_dataset(client, "analytics")
print(ds["location"], ds["description"])
print(ds["created"])  # ISO 8601: "2024-01-15T10:30:00+00:00"
```

## Notas

Lanza `google.api_core.exceptions.NotFound` (404) si el dataset no existe.
Los campos `created` y `modified` son strings ISO 8601 con timezone UTC, o `None` si el SDK no los retorna.
`labels` es un dict vacio `{}` si el dataset no tiene labels.
