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C extension bug / Uncaught in Python causing kernel to die #556

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FnayouSeif opened this issue Sep 4, 2022 · 1 comment
Open

C extension bug / Uncaught in Python causing kernel to die #556

FnayouSeif opened this issue Sep 4, 2022 · 1 comment
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@FnayouSeif
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FnayouSeif commented Sep 4, 2022

Describe the bug

I accidentally shared a connection object between threads in python3 ThreadPoolExecutor. I did not receive the error from my scripts because the execption is not caught by Python. It looks like something related to C. Sharing connection object works with psycopg2 or sqlite. This happens wity mysqlclient.

To Reproduce

Schema

Schema is generated by the script below. It is not very relevant.

Code

docker-compose -f docker-compose.yaml up --build

docker-compose.yaml

services:
  mysql:
    image: mysql:8
    container_name: 'sqlalchmey'
    ports:
      - 3311:3306
    environment:
      - MYSQL_ROOT_PASSWORD=python
      - MYSQL_PASSWORD=python
      - MYSQL_USER=python
      - MYSQL_DATABASE=python

python3 execute.py --share=1

execute.py

# execute.py
import sqlalchemy as sa
from concurrent.futures import ThreadPoolExecutor
import os
import logging 
import traceback
import argparse 

logger = logging.getLogger("Tester")

def create_table(engine:sa.engine.Engine):
    sql = "DROP TABLE IF EXISTS test"
    engine.connect().execute(sql)
    sql = "CREATE TABLE test (id int, bar INT);"
    engine.connect().execute(sql)
    return 


def insert(table_obj:str,record:tuple,conn:sa.engine.Connection,engine:sa.engine.Engine):
    ##generates insert query
    query = table_obj.insert().values(id=record[0],bar=record[1])
    if conn is None:
        conn = engine.connect()
    conn.execute(query)
    logger.info("Inserted Record...")
    return 

def run(share_connection=True):
    #tries to insert some records in the test table using threads
    engine = sa.create_engine("mysql://python:python@host.docker.internal:3311/python")
    create_table(engine=engine)
    metadata = sa.MetaData(bind=engine)

    table_obj = sa.Table('test', metadata, autoload=True)

    

    if share_connection:
        engine_param = None 
        conn = engine.connect()
    else:
        conn = None
        engine_param = engine
    
    records = [(i,i*2) for i in range(1,30)] 
    with ThreadPoolExecutor(max_workers=os.cpu_count()-1) as tpe:
        threads = [tpe.submit(insert,table_obj,record,conn,engine_param) for record in records]


    if conn is not None: conn.close()

def main():
    #wrapper for run
    try:
        parser = argparse.ArgumentParser()
        parser.add_argument('--share', default=False, type=int)
        share_connection = True if parser.parse_args().share==1 else False
        run(share_connection=share_connection)
        logger.info("success")
    except:
        logger.error(f"This now: {traceback.format_exc()}")

if __name__=='__main__':
    main()

requirements.txt

mysqlclient==2.1.1
SQLAlchemy==1.4.40
greenlet==1.1.3

To Reproduce

bash

python3 -m venv .venv.test 
source .venv.test/bin/activate 
pip install -r requirements.txt 
python3 execute.py --share=1

Output

free(): double free detected in tcache 2
free(): double free detected in tcache 2
Segmentation fault

Also sometimes:

free(): double free detected in tcache 2
double free or corruption (!prev)
Aborted

Environment

  • OS: Ubuntu 20.04 LTS (on WSL2)
  • Python: 3.8.10
  • SQLAlchemy: 1.4.40
  • Database: MySQL 8
  • DBAPI (eg: psycopg, cx_oracle, mysqlclient):mysqlclient==2.1.1

Additional context

This uncaught error kills jupyter notebook also without any tracebacks. That is how I discovered it.

@methane
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methane commented May 5, 2023

mysqlclient allows sharing connection between threads.
You just don't allowed it used concurrently. In other words, you must use Lock to avoid using connection in same time from multiple threads.

This is not so different from sqlite3, although I don't know about pysocopg2.

On the other hand, I agree that raising Exception is better than abort in C.
I will consider what I can improve it.

@methane methane added this to the v2.3 milestone May 23, 2023
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