SQLite: How to prevent locking issues when using multiple concurrent writes in a high-traffic environment?
I'm testing a new approach and I'm working with a frustrating scenario with SQLite when trying to handle multiple concurrent write operations in a high-traffic application... My setup involves a simple logging system where various services write logs into a single SQLite database. The question arises when two or more services attempt to write simultaneously, leading to transaction locks and resulting in errors like `database is locked`. I've tried increasing the timeout using the `PRAGMA busy_timeout` setting, but it hasn't resolved the scenario effectively. Here's a sample code snippet demonstrating how I'm currently handling the database connection and write operation: ```python import sqlite3 def log_message(message): conn = sqlite3.connect('logs.db') cursor = conn.cursor() cursor.execute("INSERT INTO log (message) VALUES (?)", (message,)) conn.commit() cursor.close() conn.close() ``` I also attempted to wrap the database writes in a `try-except` block to catch the `OperationalError`, and then retry after a short sleep, like so: ```python import time from sqlite3 import OperationalError def log_message_with_retry(message, retries=5): for attempt in range(retries): try: log_message(message) return except OperationalError: time.sleep(0.1) # wait before retrying print('Failed to log message after multiple attempts.') ``` Despite these attempts, I still experience frequent locking issues under load. Would switching to WAL mode improve concurrency for write operations? Also, are there other configurations or design patterns I should consider for better handling concurrent writes in SQLite? Any help would be greatly appreciated! Is there a better approach?