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How Can I Use Named Parameters with SQLAlchemy's `connection.execute` for Safer and More Readable SQL Queries?

Susan Sarandon
Susan SarandonOriginal
2024-12-31 19:20:14996browse

How Can I Use Named Parameters with SQLAlchemy's `connection.execute` for Safer and More Readable SQL Queries?

Using Named Parameters with SQLAlchemy connection.execute

SQLAlchemy's connection.execute method enables the execution of SQL queries while transforming the results into an array of maps. Initially implemented with string formatting to include parameters in the query, this method can be enhanced to utilize named parameters for greater efficiency and security.

Modifying the Procedure

To modify the code to accept named parameters, the following steps can be taken:

  1. Utilize SQLAlchemy's text() function to parse the SQL string:

    sql = text("SELECT users.fullname || ', ' || addresses.email_address AS title FROM users, addresses WHERE users.id = addresses.user_id AND users.name BETWEEN :x AND :y AND (addresses.email_address LIKE :e1 OR addresses.email_address LIKE :e2)")
  2. Pass named parameters to the execute() function:

    conn.execute(sql, {"x": "m", "y": "z", "e1": "%@aol.com", "e2": "%@msn.com"})

Benefits of Named Parameters

Employing named parameters offers several benefits:

  • Reduced Risk of SQL Injections: By utilizing named parameters, developers can avoid the potential risks associated with string formatting, which can lead to SQL injection vulnerabilities.
  • Improved Code Readability: Named parameters make the code more readable and easier to understand, especially when dealing with complex queries involving multiple parameters.

Alternative Approaches

Alternatively, one can define a function to wrap the execute functionality and accept named parameters as a dictionary:

def sql_to_data(sql, values):
    result = []
    connection = engine.connect()
    try:
        rows = connection.execute(sql, values)
        ...
    finally:
        connection.close()
    return result

With this approach, queries can be executed with:

sql = 'SELECT ...'
data = {'user_id': 3}
results = sql_to_data(sql, data)

This method enables the utilization of named parameters while maintaining the core functionality of the original code.

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