Python sqlalchemy.null方法代碼示例

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def __init__(self, none_as_null=False):
        """Construct a :class:`.JSON` type.

        :param none_as_null: if True, persist the value ``None`` as a
         SQL NULL value, not the JSON encoding of ``null``.   Note that
         when this flag is False, the :func:`.null` construct can still
         be used to persist a NULL value::

             from sqlalchemy import null
             conn.execute(table.insert(), data=null())

         .. versionchanged:: 0.9.8 - Added ``none_as_null``, and :func:`.null`
            is now supported in order to persist a NULL value.

         """
        self.none_as_null = none_as_null 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def __init__(self, none_as_null=False):
        """Construct a :class:`.types.JSON` type.

        :param none_as_null=False: if True, persist the value ``None`` as a
         SQL NULL value, not the JSON encoding of ``null``.   Note that
         when this flag is False, the :func:`.null` construct can still
         be used to persist a NULL value::

             from sqlalchemy import null
             conn.execute(table.insert(), data=null())

         .. note::

              :paramref:`.JSON.none_as_null` does **not** apply to the
              values passed to :paramref:`.Column.default` and
              :paramref:`.Column.server_default`; a value of ``None`` passed for
              these parameters means "no default present".

         .. seealso::

              :attr:`.types.JSON.NULL`

         """
        self.none_as_null = none_as_null 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _get_alarm_definition(self, conn, tenant_id, _id):
        ad = self.ad_s
        query = (self.base_query
                 .select_from(self.base_query_from)
                 .where(ad.c.tenant_id == bindparam('b_tenant_id'))
                 .where(ad.c.id == bindparam('b_id'))
                 .where(ad.c.deleted_at == null()))

        row = conn.execute(query,
                           b_tenant_id=tenant_id,
                           b_id=_id).fetchone()

        if row is not None:
            return dict(row)
        else:
            raise exceptions.DoesNotExistException 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def __init__(self, none_as_null=False):
        """Construct a :class:`_types.JSON` type.

        :param none_as_null=False: if True, persist the value ``None`` as a
         SQL NULL value, not the JSON encoding of ``null``.   Note that
         when this flag is False, the :func:`.null` construct can still
         be used to persist a NULL value::

             from sqlalchemy import null
             conn.execute(table.insert(), data=null())

         .. note::

              :paramref:`_types.JSON.none_as_null` does **not** apply to the
              values passed to :paramref:`_schema.Column.default` and
              :paramref:`_schema.Column.server_default`; a value of ``None``
              passed for these parameters means "no default present".

         .. seealso::

              :attr:`.types.JSON.NULL`

         """
        self.none_as_null = none_as_null 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def test_do_update_set_clause_literal(self):
        i = insert(self.table_with_metadata).values(myid=1, name="foo")
        i = i.on_conflict_do_update(
            index_elements=["myid"],
            set_=OrderedDict(
                [("name", "I'm a name"), ("description", null())]
            ),
        )
        self.assert_compile(
            i,
            "INSERT INTO mytable (myid, name) VALUES "
            "(%(myid)s, %(name)s) ON CONFLICT (myid) "
            "DO UPDATE SET name = %(param_1)s, "
            "description = NULL",
            {"myid": 1, "name": "foo", "param_1": "I'm a name"},
        ) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def test_filter_by(self):
        User, Address = self.classes.User, self.classes.Address

        sess = create_session()
        user = sess.query(User).get(8)
        assert [Address(id=2), Address(id=3), Address(id=4)] == sess.query(
            Address
        ).filter_by(user=user).all()

        # many to one generates IS NULL
        assert [] == sess.query(Address).filter_by(user=None).all()
        assert [] == sess.query(Address).filter_by(user=null()).all()

        # one to many generates WHERE NOT EXISTS
        assert [User(name="chuck")] == sess.query(User).filter_by(
            addresses=None
        ).all()
        assert [User(name="chuck")] == sess.query(User).filter_by(
            addresses=null()
        ).all() 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _is_null(t, expr):
    arg = t.translate(expr.op().args[0])
    return arg.is_(sa.null()) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _not_null(t, expr):
    arg = t.translate(expr.op().args[0])
    return arg.isnot(sa.null()) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def upgrade():
    op.alter_column(
        'services',
        'consent_to_research',
        existing_type=sa.BOOLEAN(),
        nullable=True,
        server_default=sa.null(),
    )
    op.alter_column(
        'services_history',
        'consent_to_research',
        existing_type=sa.BOOLEAN(),
        nullable=True,
        server_default=sa.null(),
    )
    op.execute("""
        UPDATE
            services
        SET
            consent_to_research = null
    """)
    op.execute("""
        UPDATE
            services_history
        SET
            consent_to_research = null
    """) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def __init__(self, none_as_null=False, astext_type=None):
        """Construct a :class:`.JSON` type.

        :param none_as_null: if True, persist the value ``None`` as a
         SQL NULL value, not the JSON encoding of ``null``.   Note that
         when this flag is False, the :func:`.null` construct can still
         be used to persist a NULL value::

             from sqlalchemy import null
             conn.execute(table.insert(), data=null())

         .. versionchanged:: 0.9.8 - Added ``none_as_null``, and :func:`.null`
            is now supported in order to persist a NULL value.

         .. seealso::

              :attr:`.JSON.NULL`

        :param astext_type: the type to use for the
         :attr:`.JSON.Comparator.astext`
         accessor on indexed attributes.  Defaults to :class:`.types.Text`.

         .. versionadded:: 1.1

         """
        super(JSON, self).__init__(none_as_null=none_as_null)
        if astext_type is not None:
            self.astext_type = astext_type 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def __init__(self, none_as_null=False, astext_type=None):
        """Construct a :class:`_types.JSON` type.

        :param none_as_null: if True, persist the value ``None`` as a
         SQL NULL value, not the JSON encoding of ``null``.   Note that
         when this flag is False, the :func:`.null` construct can still
         be used to persist a NULL value::

             from sqlalchemy import null
             conn.execute(table.insert(), data=null())

         .. versionchanged:: 0.9.8 - Added ``none_as_null``, and :func:`.null`
            is now supported in order to persist a NULL value.

         .. seealso::

              :attr:`_types.JSON.NULL`

        :param astext_type: the type to use for the
         :attr:`.JSON.Comparator.astext`
         accessor on indexed attributes.  Defaults to :class:`_types.Text`.

         .. versionadded:: 1.1

         """
        super(JSON, self).__init__(none_as_null=none_as_null)
        if astext_type is not None:
            self.astext_type = astext_type 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _assert_column_is_NULL(self, conn, column="data"):
        col = self.tables.data_table.c[column]
        data = conn.execute(select([col]).where(col.is_(null()))).fetchall()
        eq_([d for d, in data], [None]) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _assert_column_is_JSON_NULL(self, conn, column="data"):
        col = self.tables.data_table.c[column]
        data = conn.execute(
            select([col]).where(cast(col, String) == "null")
        ).fetchall()
        eq_([d for d, in data], [None]) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def _test_insert_nulls(self, engine):
        with engine.connect() as conn:
            conn.execute(
                self.tables.data_table.insert(), {"name": "r1", "data": null()}
            )
            self._assert_data([None], conn) 

# 需要導入模塊: import sqlalchemy [as 別名]
# 或者: from sqlalchemy import null [as 別名]
def test_alias_union(self):

        # same as testunion, except its an alias of the union

        u = (
            select(
                [
                    table1.c.col1,
                    table1.c.col2,
                    table1.c.col3,
                    table1.c.colx,
                    null().label("coly"),
                ]
            )
            .union(
                select(
                    [
                        table2.c.col1,
                        table2.c.col2,
                        table2.c.col3,
                        null().label("colx"),
                        table2.c.coly,
                    ]
                )
            )
            .alias("analias")
        )
        s1 = table1.select(use_labels=True).subquery()
        s2 = table2.select(use_labels=True).subquery()
        assert u.corresponding_column(s1.c.table1_col2) is u.c.col2
        assert u.corresponding_column(s2.c.table2_col2) is u.c.col2
        assert u.corresponding_column(s2.c.table2_coly) is u.c.coly
        assert s2.corresponding_column(u.c.coly) is s2.c.table2_coly