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- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1.9 KiB
1.9 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 | ||||||||||||||||||
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| bq_get_job | function | py | infra | 1.0.0 | impure | def bq_get_job(client: BQClient, job_id: str) -> dict | Obtiene detalles completos de un job por su ID incluyendo estado, bytes procesados y errores. Incluye campos adicionales respecto a bq_list_jobs: destination_table, query y lista de errores. |
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false | error_go_core |
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dict con campos: job_id, job_type, state, created, started, ended, user_email, bytes_processed, error, y opcionalmente destination_table, query, errors | false | python/functions/bigquery/jobs.py |
Ejemplo
from bigquery.client import bq_auth
from bigquery.jobs import bq_get_job
client = bq_auth("my-project")
job = bq_get_job(client, "job_abc123")
print(job["state"], job["bytes_processed"])
# Inspeccionar query SQL del job
if job.get("query"):
print("SQL:", job["query"][:200])
# Ver errores detallados
if job["error"]:
print("Error principal:", job["error"])
for err in job.get("errors", []):
print(" -", err)
Notas
Lanza google.api_core.exceptions.NotFound si el job_id no existe en el proyecto.
A diferencia de bq_list_jobs, este metodo retorna campos adicionales cuando estan disponibles:
destination_table: tabla destino (solo en query/load jobs con destino explicito)query: texto SQL del job (solo en query jobs)errors: lista completa de errores (cada uno como dict conreason,message,location)
Los campos created, started y ended se serializan como strings ISO 8601.