Hacktoberfest 2026: los issues que los mantenedores marcaron para octubre, abiertos y aptos para principiantes. Explorar issues de Hacktoberfest

`cursor.bulkcopy()` fails,RuntimeError: Failed to connect to SQL Server: Protocol Error: Failed to receive token during login response parsing

Cerrado
  • ¿Algo no está bien?
#600 9 comentarios 0 reacciones 1 asignado Ver en GitHub

Los mantenedores suelen responder en 2 días

@bewithgaurav ya está trabajando en esto.

Desde el 1/6/2026.

Evaluación

Este issue todavía no se ha evaluado.

Descripción

area: bulk-copy question triage done

-- coding:utf-8 --

"""
Test script for cursor.bulkcopy() failure

This script isolates the bulkcopy() issue without GUI interference.
Result: bulkcopy() ALWAYS fails with:
"RuntimeError: Failed to connect to SQL Server: Protocol Error: Failed to receive token during login response parsing"
while the normal ODBC connection via mssql-python.connect() works perfectly fine.

Environment:

  • Python: 3.11.x
  • MSSQL-Python: 1.7.1 (latest pip version, includes PR #439 which passes all connection string params to py-core)
  • MSSQL-Py-Core: bundled with mssql-python (Rust .pyd binary, cannot be upgraded separately from pip)
  • ODBC Driver: ODBC Driver 18 for SQL Server (auto-managed by mssql-python, no manual DSN setup needed)
  • SQL Server: Microsoft SQL Server 2016 (13.x)
  • Target table: temp_TEST_BATCHCOPY (56 columns, varchar/nvarchar only)
  • Auth: SQL Login (UID/PWD), with TrustServerCertificate=yes
  • OS: Windows 11
    """

import sys
import platform
import mssql_python

============================================================

0. Environment info

============================================================

print("=" * 60)
print("Environment")
print("=" * 60)
print(f"Python version: {sys.version}")
print(f"Platform: {platform.platform()}")
print(f"mssql-python version: {mssql_python.version}")

--- CONFIGURE THESE FOR YOUR ENVIRONMENT ---

CONN_STR = 'SERVER=192.168.0.18;DATABASE=AAB;UID=fa_app;PWD=qazwsx!@;TrustServerCertificate=yes;'
TABLE = 'temp_TEST_BATCHCOPY'

--------------------------------------------

try:
conn = mssql_python.connect(CONN_STR)
c = conn.cursor()
c.execute("SELECT @@VERSION")
sql_ver = c.fetchone()[0]
print(f"SQL Server: {sql_ver.split(chr(10))[0].strip()}")
conn.close()
except Exception as e:
print(f"Cannot get SQL Server version (will continue): {e}")

============================================================

1. Normal connection + metadata query (always works)

============================================================

print()
print("=" * 60)
print("1. Normal connection + metadata query")
print("=" * 60)

conn = mssql_python.connect(CONN_STR)
c = conn.cursor()

c.execute("IF OBJECT_ID(N'temp_TEST_BATCHCOPY', N'U') IS NULL SELECT 0 ELSE SELECT 1")
exists = c.fetchone()[0]
print(f"Table exists: {exists}")

c.execute("""SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = ? ORDER BY ORDINAL_POSITION""", (TABLE,))
table_columns = [r[0] for r in c.fetchall()]
print(f"Number of columns: {len(table_columns)}")
print(f"Column names (first 5): {table_columns[:5]}...")

conn.close()

============================================================

2. Test cursor.bulkcopy()

============================================================

print()
print("=" * 60)
print("2. Test cursor.bulkcopy()")
print("=" * 60)

Build 5 rows of test data matching the table column count

test_data = [tuple(f"test_row{i}_col{j}" for j in range(len(table_columns))) for i in range(5)]
print(f"Test data rows: {len(test_data)}")
print(f"Values per row: {len(test_data[0])}")

fresh_conn = mssql_python.connect(CONN_STR)
fresh_c = fresh_conn.cursor()

try:
result = fresh_c.bulkcopy(
TABLE,
test_data,
batch_size=0,
timeout=30,
column_mappings=table_columns,
)
print(f"bulkcopy() SUCCEEDED: {result}")
except Exception as e:
print(f"bulkcopy() FAILED!")
print(f" Exception type: {type(e).name}")
print(f" Error message: {str(e)}")
finally:
fresh_conn.close()

============================================================

3. Verify if any data was actually inserted

============================================================

print()
print("=" * 60)
print("3. Verify row count after test")
print("=" * 60)

try:
vc = mssql_python.connect(CONN_STR)
cr = vc.cursor()
cr.execute(f"SELECT COUNT(*) FROM [{TABLE}]")
print(f"Table '{TABLE}' row count: {cr.fetchone()[0]}")
vc.close()
except Exception as e:
print(f"Verification failed (may be fine): {e}")

============================================================

4. Connection string variant matrix

============================================================

print()
print("=" * 60)
print("4. Connection string variant matrix")
print("=" * 60)

BASE = 'SERVER=192.168.0.18;DATABASE=AAB;UID=fa_app;PWD=qazwsx!@'
data2 = [tuple(f"v{i}_c{j}" for j in range(len(table_columns))) for i in range(2)]

variants = [
(f'{BASE};TrustServerCertificate=yes;', 'TrustServerCertificate=yes'),
(f'{BASE};Encrypt=yes;TrustServerCertificate=yes;','Encrypt=yes;TrustSC=yes'),
(f'{BASE};Encrypt=no;TrustServerCertificate=yes;', 'Encrypt=no;TrustSC=yes'),
(f'{BASE};Encrypt=no;', 'Encrypt=no (no Trust)'),
(f'{BASE};encrypt=no;TrustServerCertificate=yes;', 'lowercase encrypt=no'),
]

for cs, label in variants:
odbc_ok = False
try:
t = mssql_python.connect(cs)
t.close()
odbc_ok = True
except Exception:
pass

try:
    b = mssql_python.connect(cs)
    bc = b.cursor()
    bc.bulkcopy(TABLE, data2, batch_size=0, timeout=30, column_mappings=table_columns)
    b.close()
    print(f"[{label:35s}] ODBC={'OK ' if odbc_ok else 'ERR'} | BULKCOPY=OK")
except Exception as e:
    err = str(e).replace('\n', ' ')[:80]
    print(f"[{label:35s}] ODBC={'OK ' if odbc_ok else 'ERR'} | BULKCOPY=FAIL: {err}")
Lenguaje dominante
Python
Estrellas
478
Forks
62
Merge medio
3 d 19 min
PR fusionados (30 d)
28

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 microsoft/mssql-python

Todos los issues de microsoft/mssql-python

Issues similares

Más issues de Python

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.