Enabling SQLite Query Logging with sqlite3_trace()
The SQLite3_trace() function allows us to register a callback function that will be called for each SQL statement executed by the SQLite database connection. Let’s illustrate this method with a Python example
Example: Enabling Query Logging with sqlite3_trace()
import sqlite3
# Define a callback function to log SQL statements
def log_sql_callback(statement):
print("Executing SQL statement:", statement)
# Create a SQLite database connection
conn = sqlite3.connect('example.db')
# Register the callback function with sqlite3_trace()
conn.set_trace_callback(log_sql_callback)
# Execute SQL queries
cursor = conn.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)")
cursor.execute("INSERT INTO users (name) VALUES ('Alice')")
cursor.execute("INSERT INTO users (name) VALUES ('Bob')")
# Close the database connection
conn.close()
Output:
Executing SQL statement: CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)
Executing SQL statement: INSERT INTO users (name) VALUES ('Alice')
Executing SQL statement: INSERT INTO users (name) VALUES ('Bob')
In this example, we define a callback function log_sql_callback() that prints each SQL statement executed. We then register this callback function with conn.set_trace_callback() to enable query logging. Finally, we execute some SQL statements, and the callback function logs each statement as it is executed.
How to Enable SQLite Query Logging?
SQLite is used for its simplicity and flexibility which makes it a popular choice for embedded and small–scale database applications. However, when it comes to debugging, optimizing performance, and auditing, having visibility into the SQL queries executed is important.
In this comprehensive guide, we’ll learn about the methods of enabling SQLite query logging, providing detailed explanations and examples for better understanding.
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