Skip to main content

A thread safe sql executor for Python with connection pool. It helps you automatically manage connections and transactions. It blocked the differences in various databases. Support MySQL, PostgreSQL, SQLite etc.

Project description

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

.. code:: python

   import sqlexec 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 sqlexec import with_transaction, transaction

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


   def test_transaction2():
       with transaction():
           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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlexecx-1.2.1.tar.gz (21.1 kB view details)

Uploaded Source

File details

Details for the file sqlexecx-1.2.1.tar.gz.

File metadata

  • Download URL: sqlexecx-1.2.1.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for sqlexecx-1.2.1.tar.gz
Algorithm Hash digest
SHA256 721cfaaff3ed1bb1616c0b12aff2fb50aea05fe9d3d07dfee52081b72e0dc58f
MD5 c079cd3250eb4dc5b80b1680ee52667a
BLAKE2b-256 c56cf9a333aa717858ed485f953ea4f076b16c870a63ac7aba68d89dc128c1a5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page