sqlexecx


Namesqlexecx JSON
Version 2.1.4 PyPI version JSON
download
home_pagehttps://gitee.com/summry/sqlexecx
SummaryA easy, fast sql executor for Python. Supported MySQL, PostgreSQL, SQLite etc.
upload_time2024-07-24 05:49:11
maintainerNone
docs_urlNone
authorsummy
requires_python>=3.6
licenseNone
keywords sql mysql postgresql sqlite database python rdb
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Usage Sample
''''''''''''

.. code:: python

       import sqlexecx as db

       if __name__ == '__main__':
           db.init('test.db', driver='sqlite3', show_sql=True, debug=True)

           # or
           db.init("postgres://user:password@127.0.0.1:5432/testdb", driver='psycopg2', pool_size=5, show_sql=True, debug=True)

           # or
           db.init(host='127.0.0.1', port='5432', user='xxx', password='xxx', database='testdb', show_sql=True, driver='psycopg2')

           effected_rowcount = db.insert(table='person', name='zhangsan', age=15)

           # if driver is 'pymysql' or 'mysql.connector' of MySQL, the select_key is 'SELECT LAST_INSERT_ID()'
           select_key = "SELECT currval('person_id_seq')"

           id = db.save(select_key=select_key, table='person', name='lisi', age=26)

           id = db.save_sql(select_key, 'INSERT INTO person(name, age) VALUES(?,?)', 'wangwu', 38)

           id = db.save_sql(select_key, 'INSERT INTO person(name, age) VALUES(:name, :age)', name='zhaoliu', age=45)

           count = db.get('select count(1) from person')
           # result: 4

           count = db.sql('select count(1) from person').get()
           # result: 4

           persons = db.select('select id, name, age from person')
           # result:
           # (3, 'zhangsan', 15)
           # (4, 'lisi', 26)
           # (5, 'wangwu', 38)
           # (6, 'zhaoliu', 45)

           persons = db.sql('select id, name, age from person').select()
           # result:
           # (3, 'zhangsan', 15)
           # (4, 'lisi', 26)
           # (5, 'wangwu', 38)
           # (6, 'zhaoliu', 45)

           persons = db.table('person').select('id', 'name', 'age')
           # result:
           # (3, 'zhangsan', 15)
           # (4, 'lisi', 26)
           # (5, 'wangwu', 38)
           # (6, 'zhaoliu', 45)

           persons = db.select_one('select id, name, age from person where name = ?', 'zhangsan')
           # result:
           # (3, 'zhangsan', 15)

           persons = db.sql('select id, name, age from person where name = ?').select_one('zhangsan')
           # result:
           # (3, 'zhangsan', 15)

           persons = db.select('select id, name, age from person where name = :name', name='zhangsan')
           # result:
           # [(3, 'zhangsan', 15)]

           persons = db.sql('select id, name, age from person where name = :name').select(name='zhangsan')
           # result:
           # [(3, 'zhangsan', 15)]

           persons = db.sql('select id, name, age from person where name = :name').param(name='zhangsan').select()
           # result:
           # [(3, 'zhangsan', 15)]

           persons = db.table('person').where(name__eq='zhangsan').select('id', 'name', 'age')
           # result:
           # [(3, 'zhangsan', 15)]

           persons = db.query('select id, name, age from person')
           # result:
           # {'id': 3, 'name': 'zhangsan', 'age': 15}
           # {'id': 4, 'name': 'lisi', 'age': 26}
           # {'id': 5, 'name': 'wangwu', 'age': 38}
           # {'id': 6, 'name': 'zhaoliu', 'age': 45}

           persons = db.sql('select id, name, age from person').query()
           # result:
           # {'id': 3, 'name': 'zhangsan', 'age': 15}
           # {'id': 4, 'name': 'lisi', 'age': 26}
           # {'id': 5, 'name': 'wangwu', 'age': 38}
           # {'id': 6, 'name': 'zhaoliu', 'age': 45}

           persons = db.query_one('select id, name, age from person where name = ?', 'zhangsan')
           # result:
           # {'id': 3, 'name': 'zhangsan', 'age': 15}

           persons = db.sql('select id, name, age from person where name = ?').query_one('zhangsan')
           # result:
           # {'id': 3, 'name': 'zhangsan', 'age': 15}

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

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

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

           persons = db.table('person').columns('id', 'name', 'age').where(name='zhangsan').query()
           # result:
           # [{'id': 3, 'name': 'zhangsan', 'age': 15}]

           effected_rowcount = db.table('person').where(name='zhangsan').update(name='xxx', age=45)

           effected_rowcount = db.table('person').where(id=6).delete()
           count = db.table('person').count())
           # result: 3

           effected_rowcount = db.execute('delete from person where id = :id', id=5)
           count = db.get('select count(1) from person')
           # result: 2

           effected_rowcount = db.sql('delete from person where id = ?').execute(4)
           count = db.sql('select count(1) from person').get()
           # result: 1

           effected_rowcount = db.sql('delete from person where id = :id').execute(id=3)
           count = db.sql('select count(1) from person').get()
           # result: 0

           # select data save as csv
           db.sql('select name, age from person WHERE name = ?').load('张三').to_csv('test.csv')

           db.sql('select name, age from person WHERE name = ?').param('张三').to_csv('test.csv')

           # insert from csv
           db.table('person').insert_from_csv('test.csv')

           # select data transform to DataFrame of pandas
           df = db.sql('select name, age from person WHERE name = :name').load(name='张三').to_df()

           df = db.sql('select name, age from person WHERE name = :name').param(name='张三').to_df()

           # insert from DataFrame of pandas
           db.table('person').insert_from_df(dataframe)

           # select data save as json
           db.sql('select name, age from person WHERE name = ?').load('张三').to_json('test.json')

           db.sql('select name, age from person WHERE name = ?').param('张三').to_json('test.json')

           # insert from json
           db.table('person').insert_from_json('test.json')

           db.close()

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

.. code:: python

       from sqlexecx import trans

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


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


If you want to operate MySQL database like Mybatis, may be you need MySqlx: https://pypi.org/project/mysqlx

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

If you want to execute SQL like Mybatis, may be you need sqlx-batis: https://pypi.org/project/sqlx-batis



            

Raw data

            {
    "_id": null,
    "home_page": "https://gitee.com/summry/sqlexecx",
    "name": "sqlexecx",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": null,
    "keywords": "SQL, MySQL, PostgreSQL, SQLite, Database, Python, RDB",
    "author": "summy",
    "author_email": "xiazhongbiao@126.com",
    "download_url": "https://files.pythonhosted.org/packages/44/c4/70550d96b63cc719336e0ee075375978d96d995885473eb35865cbe62147/sqlexecx-2.1.4.tar.gz",
    "platform": null,
    "description": "Usage Sample\n''''''''''''\n\n.. code:: python\n\n       import sqlexecx as db\n\n       if __name__ == '__main__':\n           db.init('test.db', driver='sqlite3', show_sql=True, debug=True)\n\n           # or\n           db.init(\"postgres://user:password@127.0.0.1:5432/testdb\", driver='psycopg2', pool_size=5, show_sql=True, debug=True)\n\n           # or\n           db.init(host='127.0.0.1', port='5432', user='xxx', password='xxx', database='testdb', show_sql=True, driver='psycopg2')\n\n           effected_rowcount = db.insert(table='person', name='zhangsan', age=15)\n\n           # if driver is 'pymysql' or 'mysql.connector' of MySQL, the select_key is 'SELECT LAST_INSERT_ID()'\n           select_key = \"SELECT currval('person_id_seq')\"\n\n           id = db.save(select_key=select_key, table='person', name='lisi', age=26)\n\n           id = db.save_sql(select_key, 'INSERT INTO person(name, age) VALUES(?,?)', 'wangwu', 38)\n\n           id = db.save_sql(select_key, 'INSERT INTO person(name, age) VALUES(:name, :age)', name='zhaoliu', age=45)\n\n           count = db.get('select count(1) from person')\n           # result: 4\n\n           count = db.sql('select count(1) from person').get()\n           # result: 4\n\n           persons = db.select('select id, name, age from person')\n           # result:\n           # (3, 'zhangsan', 15)\n           # (4, 'lisi', 26)\n           # (5, 'wangwu', 38)\n           # (6, 'zhaoliu', 45)\n\n           persons = db.sql('select id, name, age from person').select()\n           # result:\n           # (3, 'zhangsan', 15)\n           # (4, 'lisi', 26)\n           # (5, 'wangwu', 38)\n           # (6, 'zhaoliu', 45)\n\n           persons = db.table('person').select('id', 'name', 'age')\n           # result:\n           # (3, 'zhangsan', 15)\n           # (4, 'lisi', 26)\n           # (5, 'wangwu', 38)\n           # (6, 'zhaoliu', 45)\n\n           persons = db.select_one('select id, name, age from person where name = ?', 'zhangsan')\n           # result:\n           # (3, 'zhangsan', 15)\n\n           persons = db.sql('select id, name, age from person where name = ?').select_one('zhangsan')\n           # result:\n           # (3, 'zhangsan', 15)\n\n           persons = db.select('select id, name, age from person where name = :name', name='zhangsan')\n           # result:\n           # [(3, 'zhangsan', 15)]\n\n           persons = db.sql('select id, name, age from person where name = :name').select(name='zhangsan')\n           # result:\n           # [(3, 'zhangsan', 15)]\n\n           persons = db.sql('select id, name, age from person where name = :name').param(name='zhangsan').select()\n           # result:\n           # [(3, 'zhangsan', 15)]\n\n           persons = db.table('person').where(name__eq='zhangsan').select('id', 'name', 'age')\n           # result:\n           # [(3, 'zhangsan', 15)]\n\n           persons = db.query('select id, name, age from person')\n           # result:\n           # {'id': 3, 'name': 'zhangsan', 'age': 15}\n           # {'id': 4, 'name': 'lisi', 'age': 26}\n           # {'id': 5, 'name': 'wangwu', 'age': 38}\n           # {'id': 6, 'name': 'zhaoliu', 'age': 45}\n\n           persons = db.sql('select id, name, age from person').query()\n           # result:\n           # {'id': 3, 'name': 'zhangsan', 'age': 15}\n           # {'id': 4, 'name': 'lisi', 'age': 26}\n           # {'id': 5, 'name': 'wangwu', 'age': 38}\n           # {'id': 6, 'name': 'zhaoliu', 'age': 45}\n\n           persons = db.query_one('select id, name, age from person where name = ?', 'zhangsan')\n           # result:\n           # {'id': 3, 'name': 'zhangsan', 'age': 15}\n\n           persons = db.sql('select id, name, age from person where name = ?').query_one('zhangsan')\n           # result:\n           # {'id': 3, 'name': 'zhangsan', 'age': 15}\n\n           persons = db.query('select id, name, age from person where name = :name', name='zhangsan')\n           # result:\n           # [{'id': 3, 'name': 'zhangsan', 'age': 15}]\n\n           persons = db.sql('select id, name, age from person where name = :name').query(name='zhangsan')\n           # result:\n           # [{'id': 3, 'name': 'zhangsan', 'age': 15}]\n\n           persons = db.sql('select id, name, age from person where name = :name').param(name='zhangsan').query()\n           # result:\n           # [{'id': 3, 'name': 'zhangsan', 'age': 15}]\n\n           persons = db.table('person').columns('id', 'name', 'age').where(name='zhangsan').query()\n           # result:\n           # [{'id': 3, 'name': 'zhangsan', 'age': 15}]\n\n           effected_rowcount = db.table('person').where(name='zhangsan').update(name='xxx', age=45)\n\n           effected_rowcount = db.table('person').where(id=6).delete()\n           count = db.table('person').count())\n           # result: 3\n\n           effected_rowcount = db.execute('delete from person where id = :id', id=5)\n           count = db.get('select count(1) from person')\n           # result: 2\n\n           effected_rowcount = db.sql('delete from person where id = ?').execute(4)\n           count = db.sql('select count(1) from person').get()\n           # result: 1\n\n           effected_rowcount = db.sql('delete from person where id = :id').execute(id=3)\n           count = db.sql('select count(1) from person').get()\n           # result: 0\n\n           # select data save as csv\n           db.sql('select name, age from person WHERE name = ?').load('\u5f20\u4e09').to_csv('test.csv')\n\n           db.sql('select name, age from person WHERE name = ?').param('\u5f20\u4e09').to_csv('test.csv')\n\n           # insert from csv\n           db.table('person').insert_from_csv('test.csv')\n\n           # select data transform to DataFrame of pandas\n           df = db.sql('select name, age from person WHERE name = :name').load(name='\u5f20\u4e09').to_df()\n\n           df = db.sql('select name, age from person WHERE name = :name').param(name='\u5f20\u4e09').to_df()\n\n           # insert from DataFrame of pandas\n           db.table('person').insert_from_df(dataframe)\n\n           # select data save as json\n           db.sql('select name, age from person WHERE name = ?').load('\u5f20\u4e09').to_json('test.json')\n\n           db.sql('select name, age from person WHERE name = ?').param('\u5f20\u4e09').to_json('test.json')\n\n           # insert from json\n           db.table('person').insert_from_json('test.json')\n\n           db.close()\n\nTransaction\n'''''''''''\n\n.. code:: python\n\n       from sqlexecx import trans\n\n       @trans\n       def test_transaction():\n           insert_func(....)\n           update_func(....)\n\n\n       def test_transaction2():\n           with trans():\n               insert_func(....)\n               update_func(....)\n\n\nIf you want to operate MySQL database like Mybatis, may be you need MySqlx: https://pypi.org/project/mysqlx\n\nIf you want to operate PostgreSQL database like Mybatis, may be you need PgSqlx: https://pypi.org/project/pgsqlx\n\nIf you want to execute SQL like Mybatis, may be you need sqlx-batis: https://pypi.org/project/sqlx-batis\n\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "A easy, fast sql executor for Python. Supported MySQL, PostgreSQL, SQLite etc.",
    "version": "2.1.4",
    "project_urls": {
        "Homepage": "https://gitee.com/summry/sqlexecx"
    },
    "split_keywords": [
        "sql",
        " mysql",
        " postgresql",
        " sqlite",
        " database",
        " python",
        " rdb"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "44c470550d96b63cc719336e0ee075375978d96d995885473eb35865cbe62147",
                "md5": "115972f9e045565aa2499baee3d4a59e",
                "sha256": "e5c97d4ceed581ded2b42d06a142aa5273924f5c8aa5c9789d37262bb3e25788"
            },
            "downloads": -1,
            "filename": "sqlexecx-2.1.4.tar.gz",
            "has_sig": false,
            "md5_digest": "115972f9e045565aa2499baee3d4a59e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 24568,
            "upload_time": "2024-07-24T05:49:11",
            "upload_time_iso_8601": "2024-07-24T05:49:11.962221Z",
            "url": "https://files.pythonhosted.org/packages/44/c4/70550d96b63cc719336e0ee075375978d96d995885473eb35865cbe62147/sqlexecx-2.1.4.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-07-24 05:49:11",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "sqlexecx"
}
        
Elapsed time: 0.34515s