This section describes the SQL-compliant subquery
   expressions available in PostgreSQL.
   All of the expression forms documented in this section return
   Boolean (true/false) results.
  
EXISTS ( subquery )
   The argument of EXISTS is an arbitrary SELECT statement,
   or subquery.  The
   subquery is evaluated to determine whether it returns any rows.
   If it returns at least one row, the result of EXISTS is
   "true"; if the subquery returns no rows, the result of EXISTS 
   is "false".
  
   The subquery can refer to variables from the surrounding query,
   which will act as constants during any one evaluation of the subquery.
  
   The subquery will generally only be executed far enough to determine
   whether at least one row is returned, not all the way to completion.
   It is unwise to write a subquery that has any side effects (such as
   calling sequence functions); whether the side effects occur or not
   may be difficult to predict.
  
   Since the result depends only on whether any rows are returned,
   and not on the contents of those rows, the output list of the
   subquery is normally uninteresting.  A common coding convention is
   to write all EXISTS tests in the form
   EXISTS(SELECT 1 WHERE ...).  There are exceptions to
   this rule however, such as subqueries that use INTERSECT.
  
   This simple example is like an inner join on col2, but
   it produces at most one output row for each tab1 row,
   even if there are multiple matching tab2 rows:
SELECT col1 FROM tab1
    WHERE EXISTS(SELECT 1 FROM tab2 WHERE col2 = tab1.col2);
  
expression IN (value[, ...])
   The right-hand side of this form of IN is a parenthesized list
   of scalar expressions.  The result is "true" if the left-hand expression's
   result is equal to any of the right-hand expressions.  This is a shorthand
   notation for
expression = value1
OR
expression = value2
OR
...
   Note that if the left-hand expression yields null, or if there are
   no equal right-hand values and at least one right-hand expression yields
   null, the result of the IN construct will be null, not false.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
Note:    This form of IN is not truly a subquery expression, but it
   seems best to document it in the same place as subquery IN.
  
expression IN (subquery)
   The right-hand side of this form of IN is a parenthesized
   subquery, which must return exactly one column.  The left-hand expression
   is evaluated and compared to each row of the subquery result.
   The result of IN is "true" if any equal subquery row is found.
   The result is "false" if no equal row is found (including the special
   case where the subquery returns no rows).
  
   Note that if the left-hand expression yields null, or if there are
   no equal right-hand values and at least one right-hand row yields
   null, the result of the IN construct will be null, not false.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
   As with EXISTS, it's unwise to assume that the subquery will
   be evaluated completely.
  
(expression [, expression ...]) IN (subquery)
   The right-hand side of this form of IN is a parenthesized
   subquery, which must return exactly as many columns as there are
   expressions in the left-hand list.  The left-hand expressions are
   evaluated and compared row-wise to each row of the subquery result.
   The result of IN is "true" if any equal subquery row is found.
   The result is "false" if no equal row is found (including the special
   case where the subquery returns no rows).
  
   As usual, null values in the expressions or subquery rows are combined per
   the normal rules of SQL Boolean expressions.  Two rows are considered
   equal if all their corresponding members are non-null and equal; the rows
   are unequal if any corresponding members are non-null and unequal;
   otherwise the result of that row comparison is unknown (null).
   If all the row results are either unequal or null, with at least one null,
   then the result of IN is null.
  
expression NOT IN (value[, ...])
   The right-hand side of this form of NOT IN is a parenthesized list
   of scalar expressions.  The result is "true" if the left-hand expression's
   result is unequal to all of the right-hand expressions.  This is a shorthand
   notation for
expression <> value1
AND
expression <> value2
AND
...
   Note that if the left-hand expression yields null, or if there are
   no equal right-hand values and at least one right-hand expression yields
   null, the result of the NOT IN construct will be null, not true
   as one might naively expect.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
Tip:    x NOT IN y is equivalent to NOT (x IN y) in all
   cases.  However, null values are much more likely to trip up the novice when
   working with NOT IN than when working with IN.
   It's best to express your condition positively if possible.
  
expression NOT IN (subquery)
   The right-hand side of this form of NOT IN is a parenthesized
   subquery, which must return exactly one column.  The left-hand expression
   is evaluated and compared to each row of the subquery result.
   The result of NOT IN is "true" if only unequal subquery rows
   are found (including the special case where the subquery returns no rows).
   The result is "false" if any equal row is found.
  
   Note that if the left-hand expression yields null, or if there are
   no equal right-hand values and at least one right-hand row yields
   null, the result of the NOT IN construct will be null, not true.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
   As with EXISTS, it's unwise to assume that the subquery will
   be evaluated completely.
  
(expression [, expression ...]) NOT IN (subquery)
   The right-hand side of this form of NOT IN is a parenthesized
   subquery, which must return exactly as many columns as there are
   expressions in the left-hand list.  The left-hand expressions are
   evaluated and compared row-wise to each row of the subquery result.
   The result of NOT IN is "true" if only unequal subquery rows
   are found (including the special case where the subquery returns no rows).
   The result is "false" if any equal row is found.
  
   As usual, null values in the expressions or subquery rows are combined per
   the normal rules of SQL Boolean expressions.  Two rows are considered
   equal if all their corresponding members are non-null and equal; the rows
   are unequal if any corresponding members are non-null and unequal;
   otherwise the result of that row comparison is unknown (null).
   If all the row results are either unequal or null, with at least one null,
   then the result of NOT IN is null.
  
expression operator ANY (subquery)
expression operator SOME (subquery)
   The right-hand side of this form of ANY is a parenthesized
   subquery, which must return exactly one column.  The left-hand expression
   is evaluated and compared to each row of the subquery result using the
   given operator, which must yield a Boolean
   result.
   The result of ANY is "true" if any true result is obtained.
   The result is "false" if no true result is found (including the special
   case where the subquery returns no rows).
  
   SOME is a synonym for ANY.
   IN is equivalent to = ANY.
  
   Note that if there are no successes and at least one right-hand row yields
   null for the operator's result, the result of the ANY construct
   will be null, not false.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
   As with EXISTS, it's unwise to assume that the subquery will
   be evaluated completely.
  
(expression [, expression ...]) operator ANY (subquery)
(expression [, expression ...]) operator SOME (subquery)
   The right-hand side of this form of ANY is a parenthesized
   subquery, which must return exactly as many columns as there are
   expressions in the left-hand list.  The left-hand expressions are
   evaluated and compared row-wise to each row of the subquery result,
   using the given operator.  Presently,
   only = and <> operators are allowed
   in row-wise ANY queries.
   The result of ANY is "true" if any equal or unequal row is
   found, respectively.
   The result is "false" if no such row is found (including the special
   case where the subquery returns no rows).
  
   As usual, null values in the expressions or subquery rows are combined per
   the normal rules of SQL Boolean expressions.  Two rows are considered
   equal if all their corresponding members are non-null and equal; the rows
   are unequal if any corresponding members are non-null and unequal;
   otherwise the result of that row comparison is unknown (null).
   If there is at least one null row result, then the result of ANY
   cannot be false; it will be true or null. 
  
expression operator ALL (subquery)
   The right-hand side of this form of ALL is a parenthesized
   subquery, which must return exactly one column.  The left-hand expression
   is evaluated and compared to each row of the subquery result using the
   given operator, which must yield a Boolean
   result.
   The result of ALL is "true" if all rows yield true
   (including the special case where the subquery returns no rows).
   The result is "false" if any false result is found.
  
   NOT IN is equivalent to <> ALL.
  
   Note that if there are no failures but at least one right-hand row yields
   null for the operator's result, the result of the ALL construct
   will be null, not true.
   This is in accordance with SQL's normal rules for Boolean combinations
   of null values.
  
   As with EXISTS, it's unwise to assume that the subquery will
   be evaluated completely.
  
(expression [, expression ...]) operator ALL (subquery)
   
   The right-hand side of this form of ALL is a parenthesized
   subquery, which must return exactly as many columns as there are
   expressions in the left-hand list.  The left-hand expressions are
   evaluated and compared row-wise to each row of the subquery result,
   using the given operator.  Presently,
   only = and <> operators are allowed
   in row-wise ALL queries.
   The result of ALL is "true" if all subquery rows are equal
   or unequal, respectively (including the special
   case where the subquery returns no rows).
   The result is "false" if any row is found to be unequal or equal,
   respectively.
  
   As usual, null values in the expressions or subquery rows are combined per
   the normal rules of SQL Boolean expressions.  Two rows are considered
   equal if all their corresponding members are non-null and equal; the rows
   are unequal if any corresponding members are non-null and unequal;
   otherwise the result of that row comparison is unknown (null).
   If there is at least one null row result, then the result of ALL
   cannot be true; it will be false or null. 
  
(expression [, expression ...]) operator (subquery)
(expression [, expression ...]) operator (expression [, expression ...])
   
   The left-hand side is a list of scalar expressions.  The right-hand side
   can be either a list of scalar expressions of the same length, or a
   parenthesized subquery, which must return exactly as many columns as there
   are expressions on the left-hand side.  Furthermore, the subquery cannot
   return more than one row.  (If it returns zero rows, the result is taken to
   be null.)  The left-hand side is evaluated and compared row-wise to the
   single subquery result row, or to the right-hand expression list.
   Presently, only = and <> operators are allowed
   in row-wise comparisons.
   The result is "true" if the two rows are equal or unequal, respectively.
  
   As usual, null values in the expressions or subquery rows are combined per
   the normal rules of SQL Boolean expressions.  Two rows are considered
   equal if all their corresponding members are non-null and equal; the rows
   are unequal if any corresponding members are non-null and unequal;
   otherwise the result of the row comparison is unknown (null).