• PYHTON SQL查询生成器


    提问:我正在寻找python的SQL查询构建器(就像在matlab中一样)。我是初学者,不能自己写一个(至今)。您知道用Python编写的开源查询生成器吗?谢谢亚瑟

    我使用了python-sql库,对此感到非常满意。https://pypi.org/project/python-sql/

    当然还有其他的:SQLObject.org中,有一个请参阅SQLBuilder文档,以编程方式构建SQL。正如其他人所建议的那样,您可能还希望查看ORM系统,例如SQLAlchemyDjango ORMSQLObject.org本身。

    使用了python-sql

    项目介绍

    python-sql是一个以pythonic方式编写SQL查询的库。

    安装:

    pip install python-sql
    pip install python-sql==1.1.0

    导入:

    >>> from sql import *
    >>> from sql.aggregate import *
    >>> from sql.conditionals import *

    简单查询:

    >>> user = Table('user')
    >>> select = user.select()
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a"', ())
    
    >>> select = user.select(user.name)
    >>> tuple(select)
    ('SELECT "a"."name" FROM "user" AS "a"', ())
    
    >>> select = user.select(Count(Literal(1)))
    >>> tuple(select)
    ('SELECT COUNT(%s) FROM "user" AS "a"', (1,))
    
    >>> select = user.select(user.name, distinct=True)
    >>> tuple(select)
    ('SELECT DISTINCT "a"."name" FROM "user" AS "a"', ())
    
    >>> select = user.select(user.id, user.name)
    >>> tuple(select)
    ('SELECT "a"."id", "a"."name" FROM "user" AS "a"', ())

    条件查询:

    >>> select.where = user.name == 'foo'
    >>> tuple(select)
    ('SELECT "a"."id", "a"."name" FROM "user" AS "a" WHERE ("a"."name" = %s)', ('foo',))
    
    >>> select.where = (user.name == 'foo') & (user.active == True)
    >>> tuple(select)
    ('SELECT "a"."id", "a"."name" FROM "user" AS "a" WHERE (("a"."name" = %s) AND ("a"."active" = %s))', ('foo', True))
    >>> select.where = user.name == user.login
    >>> tuple(select)
    ('SELECT "a"."id", "a"."name" FROM "user" AS "a" WHERE ("a"."name" = "a"."login")', ())

    链接查询:

    >>> join = user.join(Table('user_group'))
    >>> join.condition = join.right.user == user.id
    >>> select = join.select(user.name, join.right.group)
    >>> tuple(select)
    ('SELECT "a"."name", "b"."group" FROM "user" AS "a" INNER JOIN "user_group" AS "b" ON ("b"."user" = "a"."id")', ())

    多链接查询:

    >>> join1 = user.join(Table('user'))
    >>> join2 = join1.join(Table('user'))
    >>> select = join2.select(user.id, join1.right.id, join2.right.id)
    >>> tuple(select)
    ('SELECT "a"."id", "b"."id", "c"."id" FROM "user" AS "a" INNER JOIN "user" AS "b" INNER JOIN "user" AS "c"', ())

    分组查询:

    >>> invoice = Table('invoice')
    >>> select = invoice.select(Sum(invoice.amount), invoice.currency,
    ...         group_by=invoice.currency)
    >>> tuple(select)
    ('SELECT SUM("a"."amount"), "a"."currency" FROM "invoice" AS "a" GROUP BY "a"."currency"', ())

    用输出名称查询:

    >>> tuple(user.select(user.name.as_('First Name')))
    ('SELECT "a"."name" AS "First Name" FROM "user" AS "a"', ())

    排序查询:

    >>> tuple(user.select(order_by=user.date))
    ('SELECT * FROM "user" AS "a" ORDER BY "a"."date"', ())
    >>> tuple(user.select(order_by=Asc(user.date)))
    ('SELECT * FROM "user" AS "a" ORDER BY "a"."date" ASC', ())
    >>> tuple(user.select(order_by=(user.date.asc, user.id.desc)))
    ('SELECT * FROM "user" AS "a" ORDER BY "a"."date" ASC, "a"."id" DESC', ())

    嵌套子查询:

    >>> user_group = Table('user_group')
    >>> subselect = user_group.select(user_group.user,
    ...     where=user_group.active == True)
    >>> user = Table('user')
    >>> tuple(user.select(user.id, where=user.id.in_(subselect)))
    ('SELECT "a"."id" FROM "user" AS "a" WHERE ("a"."id" IN (SELECT "b"."user" FROM "user_group" AS "b" WHERE ("b"."active" = %s)))', (True,))
    >>> tuple(subselect.select(subselect.user))
    ('SELECT "a"."user" FROM (SELECT "b"."user" FROM "user_group" AS "b" WHERE ("b"."active" = %s)) AS "a"', (True,))

    查询其他数据库的表:

    >>> other_table = Table('user', 'myschema')
    >>> tuple(other_table.select())
    ('SELECT * FROM "myschema"."user" AS "a"', ())

    插入默认值:

    >>> tuple(user.insert())
    ('INSERT INTO "user" DEFAULT VALUES', ())

    插入操作:

    >>> tuple(user.insert(columns=[user.name, user.login],
    ...         values=[['Foo', 'foo']]))
    ('INSERT INTO "user" ("name", "login") VALUES (%s, %s)', ('Foo', 'foo'))
    >>> tuple(user.insert(columns=[user.name, user.login],
    ...         values=[['Foo', 'foo'], ['Bar', 'bar']]))
    ('INSERT INTO "user" ("name", "login") VALUES (%s, %s), (%s, %s)', ('Foo', 'foo', 'Bar', 'bar'))

    插入查询的结果:

    >>> passwd = Table('passwd')
    >>> select = passwd.select(passwd.login, passwd.passwd)
    >>> tuple(user.insert(values=select))
    ('INSERT INTO "user" SELECT "a"."login", "a"."passwd" FROM "passwd" AS "a"', ())

    更新操作:

    >>> tuple(user.update(columns=[user.active], values=[True]))
    ('UPDATE "user" SET "active" = %s', (True,))
    >>> tuple(invoice.update(columns=[invoice.total], values=[invoice.amount + invoice.tax]))
    ('UPDATE "invoice" SET "total" = ("invoice"."amount" + "invoice"."tax")', ())

    带条件更新操作:

    >>> tuple(user.update(columns=[user.active], values=[True],
    ...          where=user.active == False))
    ('UPDATE "user" SET "active" = %s WHERE ("user"."active" = %s)', (True, False))

    使用列表更新操作:

    >>> group = Table('user_group')
    >>> tuple(user.update(columns=[user.active], values=[group.active],
    ...         from_=[group], where=user.id == group.user))
    ('UPDATE "user" AS "b" SET "active" = "a"."active" FROM "user_group" AS "a" WHERE ("b"."id" = "a"."user")', ())

    删除操作:

    >>> tuple(user.delete())
    ('DELETE FROM "user"', ())

    带条件删除操作:

    >>> tuple(user.delete(where=user.name == 'foo'))
    ('DELETE FROM "user" WHERE ("name" = %s)', ('foo',))

    带子查询的删除操作:

    >>> tuple(user.delete(
    ...             where=user.id.in_(user_group.select(user_group.user))))
    ('DELETE FROM "user" WHERE ("id" IN (SELECT "a"."user" FROM "user_group" AS "a"))', ())

    Flavors:

    >>> select = user.select()
    >>> select.offset = 10
    >>> Flavor.set(Flavor())
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" OFFSET 10', ())
    >>> Flavor.set(Flavor(max_limit=18446744073709551615))
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" LIMIT 18446744073709551615 OFFSET 10', ())
    >>> Flavor.set(Flavor(max_limit=-1))
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" LIMIT -1 OFFSET 10', ())

    Limit style:

    >>> select = user.select(limit=10, offset=20)
    >>> Flavor.set(Flavor(limitstyle='limit'))
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" LIMIT 10 OFFSET 20', ())
    >>> Flavor.set(Flavor(limitstyle='fetch'))
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" OFFSET (20) ROWS FETCH FIRST (10) ROWS ONLY', ())
    >>> Flavor.set(Flavor(limitstyle='rownum'))
    >>> tuple(select)
    ('SELECT "a".* FROM (SELECT "b".*, ROWNUM AS "rnum" FROM (SELECT * FROM "user" AS "c") AS "b" WHERE (ROWNUM <= %s)) AS "a" WHERE ("rnum" > %s)', (30, 20))

    qmark style:

    >>> Flavor.set(Flavor(paramstyle='qmark'))
    >>> select = user.select()
    >>> select.where = user.name == 'foo'
    >>> tuple(select)
    ('SELECT * FROM "user" AS "a" WHERE ("a"."name" = ?)', ('foo',))

    numeric style:

    >>> Flavor.set(Flavor(paramstyle='format'))
    >>> select = user.select()
    >>> select.where = user.name == 'foo'
    >>> format2numeric(*select)
    ('SELECT * FROM "user" AS "a" WHERE ("a"."name" = :0)', ('foo',))
  • 相关阅读:
    Nginx 源码分析 ngx_string 的一些简单分析
    Nginx 源码分析 浅谈对模块module 的基本认知
    BP神经网络 C语言实现 下
    Quorum 机制
    TensorFlow.NET机器学习入门【9】后记
    WPF优秀组件推荐之Stylet(一)
    WPF优秀组件推荐之Stylet(二)
    WPF优秀组件推荐之FreeSpire
    WPF优秀组件推荐之LiveCharts
    WPF优秀组件推荐之MahApps
  • 原文地址:https://www.cnblogs.com/jiangxiaobo/p/12835890.html
Copyright © 2020-2023  润新知