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    :func:`.join()` function, as well as the :meth:`.FromClause.join` method
    of any :class:`.FromClause` (e.g. such as :class:`.Table`).

    .. seealso::

        :func:`.join`

        :meth:`.FromClause.join`

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        :param left: The left side of the join.

        :param right: The right side of the join.

        :param onclause:  Optional criterion for the ``ON`` clause, is
          derived from foreign key relationships established between
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            stmt = select([user_table]).select_from(j)

        would emit SQL along the lines of::

            SELECT user.id, user.name FROM user
            JOIN address ON user.id = address.user_id

        Similar functionality is available given any
        :class:`.FromClause` object (e.g. such as a :class:`.Table`) using
        the :meth:`.FromClause.join` method.

        :param left: The left side of the join.

        :param right: the right side of the join; this is any
         :class:`.FromClause` object such as a :class:`.Table` object, and
         may also be a selectable-compatible object such as an ORM-mapped
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        :param onclause: a SQL expression representing the ON clause of the
         join.  If left at ``None``, :meth:`.FromClause.join` will attempt to
         join the two tables based on a foreign key relationship.

        :param isouter: if True, render a LEFT OUTER JOIN, instead of JOIN.

        .. seealso::

            :meth:`.FromClause.join` - method form, based on a given left side

            :class:`.Join` - the type of object produced

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        The join is determined based on the foreign key relationships
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        to join, or no way to join, an error is raised.

        :param ignore_nonexistent_tables:  Deprecated - this
        flag is no longer used.  Only resolution errors regarding
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        first before looking at the full ``a`` construct, and if found
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            j = select([j.left, j.right], **kw).\
                        where(whereclause).\
                        select_from(j)

        :param whereclause: the WHERE criterion that will be sent to
          the :func:`select()` function

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        :class:`.Alias` from that.  So given a join of the form::

            j = table_a.join(table_b, table_a.c.id == table_b.c.a_id)

        The JOIN by itself would look like::

            table_a JOIN table_b ON table_a.id = table_b.a_id

        Whereas the alias of the above, ``j.alias()``, would in a
        SELECT context look like::

            (SELECT table_a.id AS table_a_id, table_b.id AS table_b_id,
                table_b.a_id AS table_b_a_id
                FROM table_a
                JOIN table_b ON table_a.id = table_b.a_id) AS anon_1

        The equivalent long-hand form, given a :class:`.Join` object
        ``j``, is::

            from sqlalchemy import select, alias
            j = alias(
                select([j.left, j.right]).\
                    select_from(j).\
                    with_labels(True).\
                    correlate(False),
                name=name
            )

        The selectable produced by :meth:`.Join.alias` features the same
        columns as that of the two individual selectables presented under
        a single name - the individual columns are "auto-labeled", meaning
        the ``.c.`` collection of the resulting :class:`.Alias` represents
        the names of the individual columns using a
        ``<tablename>_<columname>`` scheme::

            j.c.table_a_id
            j.c.table_b_a_id

        :meth:`.Join.alias` also features an alternate
        option for aliasing joins which produces no enclosing SELECT and
        does not normally apply labels to the column names.  The
        ``flat=True`` option will call :meth:`.FromClause.alias`
        against the left and right sides individually.
        Using this option, no new ``SELECT`` is produced;
        we instead, from a construct as below::

            j = table_a.join(table_b, table_a.c.id == table_b.c.a_id)
            j = j.alias(flat=True)

        we get a result like this::

            table_a AS table_a_1 JOIN table_b AS table_b_1 ON
            table_a_1.id = table_b_1.a_id

        The ``flat=True`` argument is also propagated to the contained
        selectables, so that a composite join such as::

            j = table_a.join(
                    table_b.join(table_c,
                            table_b.c.id == table_c.c.b_id),
                    table_b.c.a_id == table_a.c.id
                ).alias(flat=True)

        Will produce an expression like::

            table_a AS table_a_1 JOIN (
                    table_b AS table_b_1 JOIN table_c AS table_c_1
                    ON table_b_1.id = table_c_1.b_id
            ) ON table_a_1.id = table_b_1.a_id

        The standalone :func:`~.expression.alias` function as well as the
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        argument as a no-op, so that the argument can be passed to the
        ``alias()`` method of any selectable.

        .. versionadded:: 0.9.0 Added the ``flat=True`` option to create
          "aliases" of joins without enclosing inside of a SELECT
          subquery.

        :param name: name given to the alias.

        :param flat: if True, produce an alias of the left and right
         sides of this :class:`.Join` and return the join of those
         two selectables.   This produces join expression that does not
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         .. versionadded:: 0.9.0

        .. seealso::

            :func:`~.expression.alias`

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        It may be used to construct lightweight table constructs.

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            ``'nowait'`` - translates to ``FOR UPDATE NOWAIT``
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            ``'read'`` - translates to ``LOCK IN SHARE MODE`` (for MySQL),
            and ``FOR SHARE`` (for PostgreSQL)

            ``'read_nowait'`` - translates to ``FOR SHARE NOWAIT``
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ZRS(s…Base class for SELECT statements.


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        used as a column expression.

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        The returned object is an instance of
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s®return a 'scalar' representation of this selectable, embedded as a
        subquery with a label.

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        Common table expressions are a SQL standard whereby SELECT
        statements can draw upon secondary statements specified along
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        Special semantics regarding UNION can also be employed to
        allow "recursive" queries, where a SELECT statement can draw
        upon the set of rows that have previously been selected.

        SQLAlchemy detects :class:`.CTE` objects, which are treated
        similarly to :class:`.Alias` objects, as special elements
        to be delivered to the FROM clause of the statement as well
        as to a WITH clause at the top of the statement.

        .. versionadded:: 0.7.6

        :param name: name given to the common table expression.  Like
         :meth:`._FromClause.alias`, the name can be left as ``None``
         in which case an anonymous symbol will be used at query
         compile time.
        :param recursive: if ``True``, will render ``WITH RECURSIVE``.
         A recursive common table expression is intended to be used in
         conjunction with UNION ALL in order to derive rows
         from those already selected.

        The following examples illustrate two examples from
        Postgresql's documentation at
        http://www.postgresql.org/docs/8.4/static/queries-with.html.

        Example 1, non recursive::

            from sqlalchemy import (Table, Column, String, Integer,
                                    MetaData, select, func)

            metadata = MetaData()

            orders = Table('orders', metadata,
                Column('region', String),
                Column('amount', Integer),
                Column('product', String),
                Column('quantity', Integer)
            )

            regional_sales = select([
                                orders.c.region,
                                func.sum(orders.c.amount).label('total_sales')
                            ]).group_by(orders.c.region).cte("regional_sales")


            top_regions = select([regional_sales.c.region]).\
                    where(
                        regional_sales.c.total_sales >
                        select([
                            func.sum(regional_sales.c.total_sales)/10
                        ])
                    ).cte("top_regions")

            statement = select([
                        orders.c.region,
                        orders.c.product,
                        func.sum(orders.c.quantity).label("product_units"),
                        func.sum(orders.c.amount).label("product_sales")
                ]).where(orders.c.region.in_(
                    select([top_regions.c.region])
                )).group_by(orders.c.region, orders.c.product)

            result = conn.execute(statement).fetchall()

        Example 2, WITH RECURSIVE::

            from sqlalchemy import (Table, Column, String, Integer,
                                    MetaData, select, func)

            metadata = MetaData()

            parts = Table('parts', metadata,
                Column('part', String),
                Column('sub_part', String),
                Column('quantity', Integer),
            )

            included_parts = select([
                                parts.c.sub_part,
                                parts.c.part,
                                parts.c.quantity]).\
                                where(parts.c.part=='our part').\
                                cte(recursive=True)


            incl_alias = included_parts.alias()
            parts_alias = parts.alias()
            included_parts = included_parts.union_all(
                select([
                    parts_alias.c.sub_part,
                    parts_alias.c.part,
                    parts_alias.c.quantity
                ]).
                    where(parts_alias.c.part==incl_alias.c.sub_part)
            )

            statement = select([
                        included_parts.c.sub_part,
                        func.sum(included_parts.c.quantity).
                          label('total_quantity')
                    ]).\
                    group_by(included_parts.c.sub_part)

            result = conn.execute(statement).fetchall()


        .. seealso::

            :meth:`.orm.query.Query.cte` - ORM version of
            :meth:`.SelectBase.cte`.

        RER
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ZRS(sþBase class for SELECT statements where additional elements can be
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    This serves as the base for :class:`.Select` and :class:`.CompoundSelect`
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    while it subclasses :class:`.SelectBase` and is also a SELECT construct,
    represents a fixed textual string which cannot be altered at this level,
    only wrapped as a subquery.

    .. versionadded:: 0.9.0 :class:`.GenerativeSelect` was added to
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    c		Cs
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            SELECT table.a, table.b FROM table FOR UPDATE

        When called with no arguments, the statement will render with
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        variants.

        :param nowait: boolean; will render ``FOR UPDATE NOWAIT`` on Oracle
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        :param read: boolean; will render ``LOCK IN SHARE MODE`` on MySQL,
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dS(sConstruct a new :class:`.Select`.

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            The :paramref:`.select.columns` parameter is not available
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          .. seealso::

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        :param whereclause:
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          .. seealso::

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          .. seealso::

            :meth:`.Select.select_from` - full description of explicit
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          .. seealso::

            :meth:`.Select.correlate` - full description of correlation.

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          ``distinct`` is also available on an existing :class:`.Select`
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          .. seealso::

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        :param for_update=False:
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          ``for_update`` accepts various string values interpreted by
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          * ``"nowait"`` - on Postgresql and Oracle, translates to
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          * ``"read_nowait"`` - on Postgresql, translates to
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         .. seealso::

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          .. seealso::

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        :param limit=None:
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          This parameter can also be specified on an existing
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          .. seealso::

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        of this method is to automatically construct a select statement
        with all uniquely-named columns, without the need to use
        table-qualified labels as :meth:`.apply_labels` does.

        When columns are omitted based on foreign key, the referred-to
        column is the one that's kept.  When columns are omitted based on
        WHERE eqivalence, the first column in the columns clause is the
        one that's kept.

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qW||_dS(srReturn a new :func:`.select` construct with its columns
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        .. versionchanged:: 0.7.3
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            Prior to version 0.7.3, the FROM clause of
            a :func:`.select` was calculated upfront and as new columns
            were added; in 0.7.3 and later it's calculated
            at compile time, fixing an issue regarding late binding
            of columns to parent tables.  This changes the behavior of
            :meth:`.Select.with_only_columns` in that FROM clauses no
            longer represented in the new list are dropped,
            but this behavior is more consistent in
            that the FROM clauses are consistently derived from the
            current columns clause.  The original intent of this method
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            columns than originally present; the use case of replacing
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            been anticipated until 0.7.3 was released; the usage
            guidelines below illustrate how this should be done.

        This method is exactly equivalent to as if the original
        :func:`.select` had been called with the given columns
        clause.   I.e. a statement::

            s = select([table1.c.a, table1.c.b])
            s = s.with_only_columns([table1.c.b])

        should be exactly equivalent to::

            s = select([table1.c.b])

        This means that FROM clauses which are only derived
        from the column list will be discarded if the new column
        list no longer contains that FROM::

            >>> table1 = table('t1', column('a'), column('b'))
            >>> table2 = table('t2', column('a'), column('b'))
            >>> s1 = select([table1.c.a, table2.c.b])
            >>> print s1
            SELECT t1.a, t2.b FROM t1, t2
            >>> s2 = s1.with_only_columns([table2.c.b])
            >>> print s2
            SELECT t2.b FROM t1

        The preferred way to maintain a specific FROM clause
        in the construct, assuming it won't be represented anywhere
        else (i.e. not in the WHERE clause, etc.) is to set it using
        :meth:`.Select.select_from`::

            >>> s1 = select([table1.c.a, table2.c.b]).\
            ...         select_from(table1.join(table2,
            ...                 table1.c.a==table2.c.a))
            >>> s2 = s1.with_only_columns([table2.c.b])
            >>> print s2
            SELECT t2.b FROM t1 JOIN t2 ON t1.a=t2.a

        Care should also be taken to use the correct
        set of column objects passed to :meth:`.Select.with_only_columns`.
        Since the method is essentially equivalent to calling the
        :func:`.select` construct in the first place with the given
        columns, the columns passed to :meth:`.Select.with_only_columns`
        should usually be a subset of those which were passed
        to the :func:`.select` construct, not those which are available
        from the ``.c`` collection of that :func:`.select`.  That
        is::

            s = select([table1.c.a, table1.c.b]).select_from(table1)
            s = s.with_only_columns([table1.c.b])

        and **not**::

            # usually incorrect
            s = s.with_only_columns([s.c.b])

        The latter would produce the SQL::

            SELECT b
            FROM (SELECT t1.a AS a, t1.b AS b
            FROM t1), t1

        Since the :func:`.select` construct is essentially being
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Return a new select() construct which will apply DISTINCT to its
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            s = select([table1.c.a]).\
                select_from(
                    table1.join(table2, table1.c.a==table2.c.b)
                )

        The "from" list is a unique set on the identity of each element,
        so adding an already present :class:`.Table` or other selectable
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        While the typical purpose of :meth:`.Select.select_from` is to
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            select([func.count('*')]).select_from(table1)

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return a new :class:`.Select` which will correlate the given FROM
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        Calling this method turns off the :class:`.Select` object's
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        :term:`columns clause` will be omitted from this :class:`.Select`
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        If ``None`` is passed, the :class:`.Select` object will correlate
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        :param \*fromclauses: a list of one or more :class:`.FromClause`
         constructs, or other compatible constructs (i.e. ORM-mapped
         classes) to become part of the correlate collection.

         .. versionchanged:: 0.8.0 ORM-mapped classes are accepted by
            :meth:`.Select.correlate`.

        .. versionchanged:: 0.8.0 The :meth:`.Select.correlate` method no
           longer unconditionally removes entries from the FROM clause;
           instead, the candidate FROM entries must also be matched by a FROM
           entry located in an enclosing :class:`.Select`, which ultimately
           encloses this one as present in the WHERE clause, ORDER BY clause,
           HAVING clause, or columns clause of an enclosing :meth:`.Select`.

        .. versionchanged:: 0.8.2 explicit correlation takes place
           via any level of nesting of :class:`.Select` objects; in previous
           0.8 versions, correlation would only occur relative to the
           immediate enclosing :class:`.Select` construct.

        .. seealso::

            :meth:`.Select.correlate_except`

            :ref:`correlated_subqueries`

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jd„|
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        .. versionchanged:: 0.8.2 The :meth:`.Select.correlate_except`
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           from being omitted from the immediate FROM clause of this
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        If ``None`` is passed, the :class:`.Select` object will correlate
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        .. versionchanged:: 0.8.2 calling ``correlate_except(None)`` will
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        :param \*fromclauses: a list of one or more :class:`.FromClause`
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        .. seealso::

            :meth:`.Select.correlate`

            :ref:`correlated_subqueries`

        ic
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append the given FromClause expression to this select() construct's
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