Skip to main content

Library to write SQL queries

Project description

python-sql is a library to write SQL queries in a pythonic way.

Nutshell

Import:

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

Simple selects:

>>> 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"', ())

Select with where condition:

>>> 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")', ())

Select with join:

>>> 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")', ())

Select with multiple joins:

>>> 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"', ())

Select with group_by:

>>> 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"', ())

Select with output name:

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

Select with order_by:

>>> 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', ())

Select with sub-select:

>>> 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,))

Select on other schema:

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

Insert query with default values:

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

Insert query with values:

>>> 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'))

Insert query with query:

>>> 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"', ())

Update query with values:

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

Update query with where condition:

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

Update query with from list:

>>> 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")', ())

Delete query:

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

Delete query with where condition:

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

Delete query with sub-query:

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

Limit style:

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

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

python_sql-1.6.0.tar.gz (39.4 kB view details)

Uploaded Source

Built Distribution

python_sql-1.6.0-py3-none-any.whl (49.0 kB view details)

Uploaded Python 3

File details

Details for the file python_sql-1.6.0.tar.gz.

File metadata

  • Download URL: python_sql-1.6.0.tar.gz
  • Upload date:
  • Size: 39.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for python_sql-1.6.0.tar.gz
Algorithm Hash digest
SHA256 5b34a124e8ad74c53acd97248684b5bfbb4538388f6676662981a327183ec36c
MD5 1c164bea017e74fa6e4a5c98617ca597
BLAKE2b-256 3c933c1f8f64f69dd4c379dfb3b37310a7b131bc36276b791030d1b5d473c890

See more details on using hashes here.

File details

Details for the file python_sql-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: python_sql-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 49.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for python_sql-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e20b1feb4791c69d95669d6a4acbb4002c08cc37c17df998a651e2631b37697d
MD5 3e009b238366ea48cec1da12d443bd22
BLAKE2b-256 b17f02420b45289b6bc61ec1948c346d9494d26de5d777a789b468c4e4c2fc58

See more details on using hashes here.

Supported by

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