mysqlx 2.1.0
A thread safe sql executor for MySQL like MyBatis with connection pool. It helps you automatically manage database connections and transactions. It also provides ORM operations for single tables.
Keywords: sql

Mapper file
'''''''''''

Create a mapper file in 'mapper' folder, you can named
'user_mapper.xml', like follow:

.. code:: xml

   <?xml version="1.0" encoding="UTF-8"?>
   <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "https://gitee.com/summry/mysqlx/blob/master/dtd/mapper.dtd">
   <mapper namespace="user">
       <select id="select_all">
           select id, name, age from user
        </select>

        <select id="select_by_name">
           select id, name, age from user where name = ?
        </select>

        <select id="select_by_name2">
           select id, name, age from user where name = :name
        </select>

        <select id="select_include" include="select_all">
           {{ select_all }}
             {% if name -%}
              where name = :name
             {%- endif -%}
        </select>
   </mapper>

Usage Sample
''''''''''''

.. code:: python

    from mysqlx.orm import Model
    from typing import List, Tuple, Mapping
    from mysqlx import mapper, sql, db, dbx, init_db

    @mapper(namespace='user')
    def select_all(): List

    @mapper(namespace='user')
    def select_by_name(name: str): List

    @mapper(namespace='user')
    def select_by_name2(name: str): List

    @mapper(namespace='user')
    def select_include(name: str): List

    @sql('select id, name, age from user where name = ?')
    def query_by_name(name: str): List(Mapping)

    @sql('select id, name, age from user where name = :name')
    def query_by_name2(name: str): List(Mapping)

    if __name__ == '__main__':
        init_db(host='127.0.0.1', port='3306', user='xxx', password='xxx', database='test', pool_size=5, show_sql=True, mapper_path='./mapper')

        users = select_all()
        # result:
        # (3, 'zhangsan', 15)
        # (4, 'lisi', 26)
        # (5, 'wangwu', 38)

        users = select_by_name('zhangsan')
        # result:
        # (3, 'zhangsan', 15)

        users = select_by_name2(name='zhangsan')
        # result:
        # (3, 'zhangsan', 15)

        users = select_include(name='zhangsan')
        # result:
        # (3, 'zhangsan', 15)

        users = query_by_name('zhangsan')
        # result:
        # {'id': 3, 'name': 'zhangsan', 'age': 15}

        users = query_by_name2(name='zhangsan')
        # result:
        # {'id': 3, 'name': 'zhangsan', 'age': 15}
       
        # you can use dbx execte mapper sql with full sql id: namespace join sql id
        users = dbx.select('user.select_all')  # 'user' is namespace, 'select_all' is sql id
        # result:
        # (3, 'zhangsan', 15)
        # (4, 'lisi', 26)
        # (5, 'wangwu', 38)

        users = dbx.select('user.select_by_name', name='zhangsan')
        # result:
        # (3, 'zhangsan', 15)

        users = dbx.sql('user.select_by_name').select(name='zhangsan')
        # result:
        # (3, 'zhangsan', 15)

        # you can direct execute sql with db
        effected_rowcount = db.insert(table='user', name='zhaoliu', age=66)

        users = db.select('select id, name, age from user')
        # result:
        # (3, 'zhangsan', 15)
        # (4, 'lisi', 26)
        # (5, 'wangwu', 38)

        users = db.query('select id, name, age from user name = :name', name='zhangsan')
        # result:
        # [{'id': 3, 'name': 'zhangsan', 'age': 15}]

        users = db.sql('select id, name, age from user name = :name').query(name='zhangsan')
        # result:
        # [{'id': 3, 'name': 'zhangsan', 'age': 15}]

        # you can use orm to operate a single table
        class User(Model):
            __key__ = 'id'
            __table__ = 'user'

            def __init__(self, id: int = None, name: str = None, age: int = None):
                self.id = id
                self.name = name
                self.age = age


        effected_rowcount = User.insert(name='tianqi', age=77)

        users = User.query(name='tianqi')
        # select id, name, age from user where name = :name
        # result:
        # {'id': 7, 'name': 'tianqi', 'age': 77}

        users = User.query(name__eq='zhangsan')
        # select id, name, age from user where name = :name
        # result:
        # [{'id': 3, 'name': 'zhangsan', 'age': 15}]

Transaction
'''''''''''

.. code:: python

   from mysqlx import with_transaction, transaction

   @with_transaction
   def test_transaction():
       insert_func(....)
       update_func(....)


   def test_transaction2():
       with transaction():
           insert_func(....)
           update_func(....)

You can generate model class with mysqlx-generator: https://pypi.org/project/mysqlx-generator

If you want to operate PostgreSQL database, may be you need PgSqlx: https://pypi.org/project/pgsqlx

If you just wanted a simple sql executor, may be you need sqlx-exec: https://pypi.org/project/sqlx-exec

If you wanted simultaneously support MySQL and PostgreSQL, may be you need sqlx-batis: https://pypi.org/project/sqlx-batis