sqlbuilder 0.7.9.10

SmartSQL - lightweight sql builder.

SmartSQL - lightweight Python sql builder, follows the KISS principle, less than 50 Kb.

You can use SmartSQL separatelly, or with Django, or with super-lightweight Ascetic ORM, or with super-lightweight datamapper Openorm (miror) etc.

Home Page: https://bitbucket.org/emacsway/sqlbuilder

Docs: http://sqlbuilder.readthedocs.org/

LICENSE:

• License is BSD

Short manual for sqlbuilder.smartsql

Quick start:

>>> from sqlbuilder.smartsql import Q, T, compile
>>> compile(Q().tables(
...     (T.book & T.author).on(T.book.author_id == T.author.id)
... ).columns(
...     T.book.name, T.author.first_name, T.author.last_name
... ).where(
...     (T.author.first_name != 'Tom') & (T.author.last_name != 'Smith')
... )[20:30])
('SELECT "book"."name", "author"."first_name", "author"."last_name" FROM "book" INNER JOIN "author" ON ("book"."author_id" = "author"."id") WHERE "author"."first_name" <> %s AND "author"."last_name" <> %s LIMIT %s OFFSET %s', ['Tom', 'Smith', 10, 20])

table:

>>> T.book
<Table: "book", []>

>>> T.book__a
<TableAlias: "a", []>

>>> T.book.as_('a')
<TableAlias: "a", []>

field:

>>> T.book.name
<Field: "book"."name", []>

>>> T.book.name.as_('a')
<Alias: "a", []>

>>> F.book__name
<Field: "book"."name", []>

>>> F.book__name__a
<Alias: "a", []>

>>> F.book__name.as_('a')
<Alias: "a", []>

table operator:

>>> (T.book & T.author).on(T.book.author_id == T.author.id)
<TableJoin: "book" INNER JOIN "author" ON ("book"."author_id" = "author"."id"), []>

>>> (T.book + T.author).on(T.book.author_id == T.author.id)
<TableJoin: "book" LEFT OUTER JOIN "author" ON ("book"."author_id" = "author"."id"), []>

>>> (T.book - T.author).on(T.book.author_id == T.author.id)
<TableJoin: "book" RIGHT OUTER JOIN "author" ON ("book"."author_id" = "author"."id"), []>

>>> (T.book | T.author).on(T.book.author_id == T.author.id)
<TableJoin: "book" FULL OUTER JOIN "author" ON ("book"."author_id" = "author"."id"), []>

>>> (T.book * T.author).on(T.book.author_id == T.author.id)
<TableJoin: "book" CROSS JOIN "author" ON ("book"."author_id" = "author"."id"), []>

condition operator:

>>> (T.author.first_name != 'Tom') & (T.author.last_name.in_(('Smith', 'Johnson')))
<Condition: "author"."first_name" <> %s AND "author"."last_name" IN (%s, %s), ['Tom', 'Smith', 'Johnson']>

>>> (T.author.first_name != 'Tom') | (T.author.last_name.in_(('Smith', 'Johnson')))
<Condition: "author"."first_name" <> %s OR "author"."last_name" IN (%s, %s), ['Tom', 'Smith', 'Johnson']>

>>> T.author.last_name.startswith('Sm')
<Condition: "author"."last_name" LIKE %s || %s, ['Sm', u'%']>

>>> T.author.last_name.istartswith('Sm')
<Condition: "author"."last_name" ILIKE %s || %s, ['Sm', u'%']>

>>> T.author.last_name.contains('Sm')
<Condition: "author"."last_name" LIKE %s || %s || %s, [u'%', 'Sm', u'%']>

>>> T.author.last_name.icontains('Sm')
<Condition: "author"."last_name" ILIKE %s || %s || %s, [u'%', 'Sm', u'%']>

>>> T.author.last_name.endswith('Sm')
<Condition: "author"."last_name" LIKE %s || %s, [u'%', 'Sm']>

>>> T.author.last_name.iendswith('Sm')
<Condition: "author"."last_name" ILIKE %s || %s, [u'%', 'Sm']>

>>> T.author.age.between(20, 30)
<Between: "author"."age" BETWEEN %s AND %s, [20, 30]>

Django integration.

Simple add “sqlbuilder.django_sqlbuilder” to your INSTALLED_APPS.

>>> object_list = Book.s.q.tables(
...     (Book.s & Author.s).on(Book.s.author == Author.s.pk)
... ).where(
...     (Author.s.first_name != 'James') & (Author.s.last_name != 'Joyce')
... )[:10]