![]() ![]() Users say the packaging tool development is clear and concise and the data is presented in a way that is very simple to understand. Features: Users say both solutions are very easy to use and very user friendly.Ease of Deployment: For the most part, users of both solutions feel installation and deployment is simple and straightforward.After reading the collected data, you can find our conclusion below. That is, it can be used with the MySQLdb/mysqlclient/PyMySQL API, or the "MySQL Connector/Python" API.We performed a comparison between MYSQL and SQL Server based on our users’ reviews in four categories. (Django's ORM can be used with either of the 2 APIs. My impression is that "MySQL Connector/Python" provides a different API. (This is probably useful if a dependency imports MySQLdb.) Call install_as_MySQLdb and then use import MySQLdb.import pymysql and use pymysql like you would MySQLdb, since it has the same API.So there are a few ways you can use PyMySQL: But PyMySQL includes an install_as_MySQLdb function that can be used to define a MySQLdb module in memory at runtime, that actually references PyMySQL. If you install PyMySQL with pip, then a MySQLdb module will not be installed. So whether you install the MySQLdb package or the mysqlclient package, you use it by importing MySQLdb: import MySQLdb. If you install the MySQLdb package or the mysqlclient package with pip, then a MySQLdb module will be installed (for example venv/lib/python3.10/site-packages/MySQLdb/). MySQLdb, mysqlclient, and PyMySQL are packages that provide a similar API. I haven't done my own testing to verify, but based on what I've read: In addition, the diagram below can help you visualise where DBAPIs belong architecturally. ![]() ![]() To understand what DBAPIs are in general, use this link, as well as reading the above mentioned PEP-249. More Database dialects can be found in the side menu here.Those links include references to each library's documentation and a commentary on their features and support. I have provided below links listing the available DBAPIs. Hence, testing the individual dialects and evaluating their performance for yourself would be a good approach. ![]() However, the libraries mentioned above are ever-changing, and their performance and issues are not set in stone. This question was a good starting point for learning what DBAPIs are available for Python and their tradeoffs. Main documentation is pretty clear, however you should be aware of Protobuf C++ dependency (for mysql connector versions >= 2.2.3). Installation depends on the system you use, just make sure you aware of package names and can install them. Both libraries follow PEP-249 standard which means you should be fine with at least base functionality everywhere.Īs a fork of C wrapper it requires C modules to work with MySQL which adds python header files to build these extensions (read python-dev). Note: I did not have much experience with them, so there might be cases when one or another does not suite your needs. So now the question comes down to: mysqlclient vs mysql connector.Īs for me, I would go with officially supported library, however mysqlclient should be a good choice as well.īoth of them are being actively updated with fixes and new features which you can see by active commits in last days. Now, to solve that mess, MySQL provides their own version of MySQL adapter - mysql connector, an all-in python module that uses MySQL API with no C modules dependencies and only standard python modules used. Sum up, so now we have MySQLDb2 which is not ready for production use, MySQLDb1 as an outdated driver and a community supported mysqlclient with bug fixes and Python3 support. As MySQLDb1 started evolving to MySQLDb2 with bug fixes and Python3 support, a MySQLDb1 was forked and here is how mysqlclient appeared, with bugfixes and Python3 support. There was MySQLDb1 version of wrapper used some time ago and now it is considered to be a legacy. MySQLdb is a thin python wrapper around C module which implements API for MySQL database. ![]()
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