TinyDB does not natively support concurrent operations out of the box. Since it's primarily designed for simplicity and lightweight use cases, it lacks built-in mechanisms for handling concurrent access control or ensuring data consistency in multi-threaded environments.
However, it's possible to implement basic concurrency control mechanisms manually when using TinyDB in multi-threaded applications. For example, developers can use locking mechanisms to ensure that only one thread accesses the database at a time, thereby preventing concurrent modifications that could lead to data corruption or inconsistency.
Here's a basic example of how you might implement a locking mechanism to handle concurrent access with TinyDB :
import threading
from tinydb import TinyDB
# Initialize TinyDB instance
db = TinyDB('db.json')
# Define a lock for synchronization
lock = threading.Lock()
# Function to perform database operation safely
def safe_database_operation():
# Acquire the lock before accessing the database
with lock:
# Perform database operation
db.insert({'key': 'value'})
# Create multiple threads to perform database operations concurrently
threads = []
for _ in range(10):
thread = threading.Thread(target=safe_database_operation)
threads.append(thread)
thread.start()
# Wait for all threads to complete
for thread in threads:
thread.join()
# Close the database connection
db.close()?
In this example, a lock (
lock) is used to synchronize access to the TinyDB database (
db). Before performing any database operation, each thread acquires the lock using a context manager (
with lock:). This ensures that only one thread can access the database at a time, preventing concurrent modifications.
