ProgrammingError: SQLite objects created in a thread can only be used in that same thread
PythonMysqlSqliteFlaskPython Problem Overview
i'm fairly new to programming. I've tried MySQL before, but now it's my first time using SQLite in a python flask website. So maybe I'm using MySQL syntax instead of SQLite, but I can't seem to find the problem.
Piece of my code:
@app.route('/register', methods=['GET', 'POST'])
def register():
form = RegisterForm(request.form)
if request.method=='POST' and form.validate():
name = form.name.data
email = form.email.data
username = form.username.data
password = sha256_crypt.encrypt(str(form.password.data))
c.execute("INSERT INTO users(name,email,username,password)
VALUES(?,?,?,?)", (name, email, username, password))
conn.commit
conn.close()
The error:
File "C:\Users\app.py", line 59, in register c.execute("INSERT INTO users(name,email,username,password) VALUES(?,?,?,?)", (name, email, username, password))
ProgrammingError: SQLite objects created in a thread can only be used in that
same thread.The object was created in thread id 23508 and this is thread id
22640
Does this mean I can't use the name, email username & password in an HTML file? How do I solve this?
Thank you.
Python Solutions
Solution 1 - Python
Where you make your connection to the database add the following.
conn = sqlite3.connect('your.db', check_same_thread=False)
Solution 2 - Python
Your cursor 'c' is not created in the same thread; it was probably initialized when the Flask app was run.
You probably want to generate SQLite objects (the conneciton, and the cursor) in the same method, such as:
@app.route('/')
def dostuff():
with sql.connect("database.db") as con:
name = "bob"
cur = con.cursor()
cur.execute("INSERT INTO students (name) VALUES (?)",(name))
con.commit()
msg = "Done"
Solution 3 - Python
engine = create_engine(
'sqlite:///restaurantmenu.db',
connect_args={'check_same_thread': False}
)
Works for me
Solution 4 - Python
In my case, I have the same issue with two python files creating sqlite engine and therefore possibly operating on different threads. Reading SQLAlchemy doc here, it seems it is better to use singleton technique in both files:
# maintain the same connection per thread
from sqlalchemy.pool import SingletonThreadPool
engine = create_engine('sqlite:///mydb.db',
poolclass=SingletonThreadPool)
It does not solve all cases, meaning I occasionally getting the same error, but i can easily overcome it, refreshing the browser page. Since I'm only using this to debug my code, this is OK for me. For more permanent solution, should probably choose another database, like PostgreSQL or other database
Solution 5 - Python
You can try this:
engine=create_engine('sqlite:///data.db', echo=True, connect_args={"check_same_thread": False})
It worked for me
Solution 6 - Python
I had the same problem and I fixed it by closing my connection after every call:
results = session.query(something, something).all()
session.close()
Solution 7 - Python
As mentioned in https://docs.python.org/3/library/sqlite3.html and pointed out by @Snidhi Sofpro in a comment > By default, check_same_thread is True and only the creating thread may use the connection. If set False, the returned connection may be shared across multiple threads. When using multiple threads with the same connection writing operations should be serialized by the user to avoid data corruption.
One way to achieve serialization:
import threading
import sqlite3
import queue
import traceback
import time
import random
work_queue = queue.Queue()
def sqlite_worker():
con = sqlite3.connect(':memory:', check_same_thread=False)
cur = con.cursor()
cur.execute('''
CREATE TABLE IF NOT EXISTS test (
id INTEGER PRIMARY KEY AUTOINCREMENT,
text TEXT,
source INTEGER,
seq INTEGER
)
''')
while True:
try:
(sql, params), result_queue = work_queue.get()
res = cur.execute(sql, params)
con.commit()
result_queue.put(res)
except Exception as e:
traceback.print_exc()
threading.Thread(target=sqlite_worker, daemon=True).start()
def execute_in_worker(sql, params):
# you might not really need the results if you only use this
# for writing unless you use something like https://www.sqlite.org/lang_returning.html
result_queue = queue.Queue()
work_queue.put(((sql, params), result_queue))
return result_queue.get(timeout=5)
def insert_test_data(seq):
time.sleep(random.randint(0, 100) / 100)
execute_in_worker(
'INSERT INTO test (text, source, seq) VALUES (?, ?, ?)',
['foo', threading.get_ident(), seq]
)
threads = []
for i in range(10):
thread = threading.Thread(target=insert_test_data, args=(i,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
for res in execute_in_worker('SELECT * FROM test', []):
print(res)
# (1, 'foo', 139949462500928, 9)
# (2, 'foo', 139949496071744, 5)
# (3, 'foo', 139949479286336, 7)
# (4, 'foo', 139949487679040, 6)
# (5, 'foo', 139949854099008, 3)
# (6, 'foo', 139949470893632, 8)
# (7, 'foo', 139949862491712, 2)
# (8, 'foo', 139949845706304, 4)
# (9, 'foo', 139949879277120, 0)
# (10, 'foo', 139949870884416, 1)
As you can see, the data is inserted out of order but it's still all handled one by one in a while
loop.
Solution 8 - Python
The error doesn't lie on the variables called in your .execute()
, but rather the object instances that SQLite uses to access the DB.
I assume that you have:
conn = sqlite3.connect('your_database.db')
c = conn.cursor()
somewhere at the top of the Flask script, & this would be initialized when you first run the script.
When the register
function is called, a new thread, different from the initial script run handles the process. Thus, in this new thread, you're utilizing object instances that are from a different thread, which SQLite captures as an error: rightfully so, because this may lead to data corruption if you anticipate for your DB to be accessed by different threads during the app run.
So a different method, instead of disabling the check-same-thread SQLite functionality, you could try initializing your DB connection & cursor within the HTTP Methods that are being called.
With this, the SQLite objects & utilization will be on the same thread at runtime.
The code would be redundant, but it might save you in situations where the data is being accessed asynchronously, & will also prevent data corruption.
Solution 9 - Python
Hello how are you? I got the same problem with sqlite3!
- I solved this problem by taking advantage of the error.
-I created the file "database.py"
-And I wrote
import sqlite3
def dbcon():
db = sqlite3.connect("your.db")
cur = db.cursor()
return cur
Then just import where you want to use it.
from database import dbcon
db = dbcon()
db.execute("INSERT INTO users(name,email,username,password)
VALUES(?,?,?,?)", (name, email, username, password))
You probably won't need to close it because the thread will be killed right away, hugs! :)