PySQL

PySQL is a MySQL client library written in Python, it can make
CURD operations easy and convenient without writing raw SQL.

Tutorial

1. Configure

1.1. Configure in a toml file

    host = "127.0.0.1"
    port = 3306
    user = "root"
    passwd = "123123"
    charset = "utf8"
    db = "bar"
    mincached = 3
    maxcached = 3
   # maxshared = 0

Please install Python toml to read this file.

1.2. Configure in a dictionary form

    config = {
        "host": "127.0.0.1",
        "port": 3306,
        "user": "root",
        "passwd": "123123",
        "charset": "utf8",
        "db": "bar",
        "mincached": 3,
        "maxcached": 3,
        "maxshared": 0
    }

2. Instance

    from pysql.pool import SQLPool
    pool = SQLPool(**config)

3. Insert

    obj = {'name': 'abc', 'age': 10}
    insert_id = pool.insert(table='t1', obj=obj)

    objs = [
        {'name': 'a', 'age': 1},
        {'name': 'b', 'age': 2},
        {'name': 'c', 'age': 3},
    ]
    insert_ids = pool.insertmany(table='t1', objs=objs)

4. Update

obj is the updating data and where is query condition.

    Case: id = 3
    obj = {'age': 10}
    where = {'id': 3}  or where = {'id__eq': 3}
    affected_rows = pool.update(table='t1', where=where, obj=obj)

    # Case: 12 <= id <= 20
    where = {'id__gte': 12, 'id__lte': 20}
    affected_rows = pool.update(table='t1', where=where, obj=obj)

    # Case: id != 4
    where = {'id__neq': 4}
    affected_rows = pool.update(table='t1', where=where, obj=obj)

5. Delete

    # Case: id in (1, 2, 3)
    affected_rows = pool.delete(table='t1', where={'id__in': [1, 2, 3]})

6. Select

    affected_rows = pool.query(table='t1', where={'id__in': [1, 2, 3]})