I worked on a PHP project earlier where prepared statements made the SELECT queries 20% faster.
I'm wondering if it works on Python? I can't seem to find anything that specifically says it does or does NOT.
MySQL server and Python versions within parentheses are known to work with Connector/Python, but are not officially supported. Bugs might not get fixed for those versions. Connector/Python does not support the old MySQL Server authentication methods, which means that MySQL versions prior to 4.1 will not work.
MySQL 8.0 provides support for server-side prepared statements. This support takes advantage of the efficient client/server binary protocol. Using prepared statements with placeholders for parameter values has the following benefits: Less overhead for parsing the statement each time it is executed.
How to use Parameterized Query in Python. Create a Prepared statement object using a connection. cursor(prepared=True) . It creates a specific cursor on which statements are prepared and return a MySQLCursorPrepared class instance.
Most languages provide a way to do generic parameterized statements, Python is no different. When a parameterized query is used databases that support preparing statements will automatically do so.
In python a parameterized query looks like this:
cursor.execute("SELECT FROM tablename WHERE fieldname = %s", [value])
The specific style of parameterization may be different depending on your driver, you can import your db module and then do a print yourmodule.paramstyle
.
From PEP-249:
paramstyle
String constant stating the type of parameter marker formatting expected by the interface. Possible values are [2]: 'qmark' Question mark style, e.g. '...WHERE name=?' 'numeric' Numeric, positional style, e.g. '...WHERE name=:1' 'named' Named style, e.g. '...WHERE name=:name' 'format' ANSI C printf format codes, e.g. '...WHERE name=%s' 'pyformat' Python extended format codes, e.g. '...WHERE name=%(name)s'
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