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 <Chapter Id="xoper">
  <Title>Extending <Acronym>SQL</Acronym>: Operators</Title>

  <Para>
   <ProductName>Postgres</ProductName> supports left unary,
   right  unary  and  binary
   operators.   Operators  can  be  overloaded; that is,
   the same operator name can be used for different operators
   that have different numbers and types of arguments.   If
   there  is  an ambiguous situation and the system cannot
   determine the correct operator to use, it  will  return
   an  error.  You may have to typecast the left and/or
   right operands to help it understand which operator you
   meant to use.
  </Para>

  <Para>
   Every operator is "syntactic sugar" for a call to an
   underlying function that does the real work; so you must
   first create the underlying function before you can create
   the operator.  However, an operator is <emphasis>not</emphasis>
   merely syntactic sugar, because it carries additional information
   that helps the query planner optimize queries that use the
   operator.  Much of this chapter will be devoted to explaining
   that additional information.
  </Para>

  <Para>
   Here is an example of creating an operator for adding two
   complex numbers.  We assume we've already created the definition
   of type complex.  First we need a function that does the work;
   then we can define the operator:

   <ProgramListing>
CREATE FUNCTION complex_add(complex, complex)
    RETURNS complex
    AS '$PWD/obj/complex.so'
    LANGUAGE 'c';

CREATE OPERATOR + (
    leftarg = complex,
    rightarg = complex,
    procedure = complex_add,
    commutator = +
);
   </ProgramListing>
  </Para>

  <Para>
   Now we can do:
     
   <ProgramListing>
SELECT (a + b) AS c FROM test_complex;

+----------------+
|c               |
+----------------+
|(5.2,6.05)      |
+----------------+
|(133.42,144.95) |
+----------------+
   </ProgramListing>
  </Para>

  <Para>
   We've shown how to create a binary  operator  here.  To
   create  unary  operators, just omit one of leftarg (for
   left unary) or rightarg (for right unary).  The procedure
   clause and the argument clauses are the only required items
   in CREATE OPERATOR.  The COMMUTATOR clause shown in the example
   is an optional hint to the query optimizer.  Further details about
   COMMUTATOR and other optimizer hints appear below.
  </Para>

  <sect1 id="xoper-optimization">
   <title>Operator Optimization Information</title>

   <note>
    <title>Author</title>
    <para>
     Written by Tom Lane.
    </para>
   </note>

   <para>
    A <ProductName>Postgres</ProductName> operator definition can include
    several optional clauses that tell the system useful things about how
    the operator behaves.  These clauses should be provided whenever
    appropriate, because they can make for considerable speedups in execution
    of queries that use the operator.  But if you provide them, you must be
    sure that they are right!  Incorrect use of an optimization clause can
    result in backend crashes, subtly wrong output, or other Bad Things.
    You can always leave out an optimization clause if you are not sure
    about it; the only consequence is that queries might run slower than
    they need to.
   </para>

   <para>
    Additional optimization clauses might be added in future versions of
    <ProductName>Postgres</ProductName>.  The ones described here are all
    the ones that release 6.5 understands.
   </para>

   <sect2>
    <title>COMMUTATOR</title>

    <para>
     The COMMUTATOR clause, if provided, names an operator that is the
     commutator of the operator being defined.  We say that operator A is the
     commutator of operator B if (x A y) equals (y B x) for all possible input
     values x,y.  Notice that B is also the commutator of A.  For example,
     operators '<' and '>' for a particular datatype are usually each others'
     commutators, and operator '+' is usually commutative with itself.
     But operator '-' is usually not commutative with anything.
    </para>

    <para>
     The left argument type of a commuted operator is the same as the
     right argument type of its commutator, and vice versa.  So the name of
     the commutator operator is all that <ProductName>Postgres</ProductName>
     needs to be given to look up the commutator, and that's all that need
     be provided in the COMMUTATOR clause.
    </para>

    <para>
     When you are defining a self-commutative operator, you just do it.
     When you are defining a pair of commutative operators, things are
     a little trickier: how can the first one to be defined refer to the
     other one, which you haven't defined yet?  There are two solutions
     to this problem:

     <itemizedlist>
      <listitem>
       <para>
	One way is to omit the COMMUTATOR clause in the first operator that
	you define, and then provide one in the second operator's definition.
	Since <ProductName>Postgres</ProductName> knows that commutative
	operators come in pairs, when it sees the second definition it will
	automatically go back and fill in the missing COMMUTATOR clause in
	the first definition.
       </para>
      </listitem>

      <listitem>
       <para>
	The other, more straightforward way is just to include COMMUTATOR clauses
	in both definitions.  When <ProductName>Postgres</ProductName> processes
	the first definition and realizes that COMMUTATOR refers to a non-existent
	operator, the system will make a dummy entry for that operator in the
	system's pg_operator table.  This dummy entry will have valid data only
	for the operator name, left and right argument types, and result type,
	since that's all that <ProductName>Postgres</ProductName> can deduce
	at this point.  The first operator's catalog entry will link to this
	dummy entry.  Later, when you define the second operator, the system
	updates the dummy entry with the additional information from the second
	definition.  If you try to use the dummy operator before it's been filled
	in, you'll just get an error message.  (Note: this procedure did not work
	reliably in <ProductName>Postgres</ProductName> versions before 6.5,
	but it is now the recommended way to do things.)
       </para>
      </listitem>
     </itemizedlist>
    </para>
   </sect2>

   <sect2>
    <title>NEGATOR</title>

    <para>
     The NEGATOR clause, if provided, names an operator that is the
     negator of the operator being defined.  We say that operator A
     is the negator of operator B if both return boolean results and
     (x A y) equals NOT (x B y) for all possible inputs x,y.
     Notice that B is also the negator of A.
     For example, '<' and '>=' are a negator pair for most datatypes.
     An operator can never be validly be its own negator.
    </para>

   <para>
    Unlike COMMUTATOR, a pair of unary operators could validly be marked
    as each others' negators; that would mean (A x) equals NOT (B x)
    for all x, or the equivalent for right-unary operators.
   </para>

   <para>
    An operator's negator must have the same left and/or right argument types
    as the operator itself, so just as with COMMUTATOR, only the operator
    name need be given in the NEGATOR clause.
   </para>

   <para>
    Providing NEGATOR is very helpful to the query optimizer since
    it allows expressions like NOT (x = y) to be simplified into
    x &lt;&gt; y.  This comes up more often than you might think, because
    NOTs can be inserted as a consequence of other rearrangements.
   </para>

   <para>
    Pairs of negator operators can be defined using the same methods
    explained above for commutator pairs.
   </para>

  </sect2>

  <sect2>
   <title>RESTRICT</title>

   <para>
    The RESTRICT clause, if provided, names a restriction selectivity
    estimation function for the operator (note that this is a function
    name, not an operator name).  RESTRICT clauses only make sense for
    binary operators that return boolean.  The idea behind a restriction
    selectivity estimator is to guess what fraction of the rows in a
    table will satisfy a WHERE-clause condition of the form
   <ProgramListing>
    		field OP constant
   </ProgramListing>
    for the current operator and a particular constant value.
    This assists the optimizer by
    giving it some idea of how many rows will be eliminated by WHERE
    clauses that have this form.  (What happens if the constant is on
    the left, you may be wondering?  Well, that's one of the things that
    COMMUTATOR is for...)
   </para>

   <para>
    Writing new restriction selectivity estimation functions is far beyond
    the scope of this chapter, but fortunately you can usually just use
    one of the system's standard estimators for many of your own operators.
    These are the standard restriction estimators:
   <ProgramListing>
	eqsel		for =
	neqsel		for &lt;&gt;
	scalarltsel	for &lt; or &lt;=
	scalargtsel	for &gt; or &gt;=
   </ProgramListing>
    It might seem a little odd that these are the categories, but they
    make sense if you think about it.  '=' will typically accept only
    a small fraction of the rows in a table; '&lt;&gt;' will typically reject
    only a small fraction.  '&lt;' will accept a fraction that depends on
    where the given constant falls in the range of values for that table
    column (which, it just so happens, is information collected by
    VACUUM ANALYZE and made available to the selectivity estimator).
    '&lt;=' will accept a slightly larger fraction than '&lt;' for the same
    comparison constant, but they're close enough to not be worth
    distinguishing, especially since we're not likely to do better than a
    rough guess anyhow.  Similar remarks apply to '&gt;' and '&gt;='.
   </para>

   <para>
    You can frequently get away with using either eqsel or neqsel for
    operators that have very high or very low selectivity, even if they
    aren't really equality or inequality.  For example, the
    approximate-equality geometric operators use eqsel on the assumption that
    they'll usually only match a small fraction of the entries in a table.
   </para>

   <para>
    You can use scalarltsel and scalargtsel for comparisons on datatypes that
    have some sensible means of being converted into numeric scalars for
    range comparisons.  If possible, add the datatype to those understood
    by the routine convert_to_scalar() in src/backend/utils/adt/selfuncs.c.
    (Eventually, this routine should be replaced by per-datatype functions
    identified through a column of the pg_type table; but that hasn't happened
    yet.)  If you do not do this, things will still work, but the optimizer's
    estimates won't be as good as they could be.
   </para>

   <para>
    There are additional selectivity functions designed for geometric
    operators in src/backend/utils/adt/geo_selfuncs.c: areasel, positionsel,
    and contsel.  At this writing these are just stubs, but you may want
    to use them (or even better, improve them) anyway.
   </para>
   </sect2>

   <sect2>
    <title>JOIN</title>

    <para>
     The JOIN clause, if provided, names a join selectivity
     estimation function for the operator (note that this is a function
     name, not an operator name).  JOIN clauses only make sense for
     binary operators that return boolean.  The idea behind a join
     selectivity estimator is to guess what fraction of the rows in a
     pair of tables will satisfy a WHERE-clause condition of the form
     <ProgramListing>
                table1.field1 OP table2.field2
     </ProgramListing>
     for the current operator.  As with the RESTRICT clause, this helps
     the optimizer very substantially by letting it figure out which
     of several possible join sequences is likely to take the least work.
    </para>

    <para>
     As before, this chapter will make no attempt to explain how to write
     a join selectivity estimator function, but will just suggest that
     you use one of the standard estimators if one is applicable:
     <ProgramListing>
	eqjoinsel	for =
	neqjoinsel	for &lt;&gt;
	scalarltjoinsel	for &lt; or &lt;=
	scalargtjoinsel	for &gt; or &gt;=
	areajoinsel	for 2D area-based comparisons
	positionjoinsel	for 2D position-based comparisons
	contjoinsel	for 2D containment-based comparisons
    </ProgramListing>
    </para>
   </sect2>

   <sect2>
    <title>HASHES</title>

    <para>
     The HASHES clause, if present, tells the system that it is OK to
     use the hash join method for a join based on this operator.  HASHES
     only makes sense for binary operators that return boolean, and
     in practice the operator had better be equality for some data type.
    </para>

    <para>
     The assumption underlying hash join is that the join operator can
     only return TRUE for pairs of left and right values that hash to the
     same hash code.  If two values get put in different hash buckets, the
     join will never compare them at all, implicitly assuming that the
     result of the join operator must be FALSE.  So it never makes sense
     to specify HASHES for operators that do not represent equality.
    </para>

    <para>
     In fact, logical equality is not good enough either; the operator
     had better represent pure bitwise equality, because the hash function
     will be computed on the memory representation of the values regardless
     of what the bits mean.  For example, equality of
     time intervals is not bitwise equality; the interval equality operator
     considers two time intervals equal if they have the same
     duration, whether or not their endpoints are identical.  What this means
     is that a join using "=" between interval fields would yield different
     results if implemented as a hash join than if implemented another way,
     because a large fraction of the pairs that should match will hash to
     different values and will never be compared by the hash join.  But
     if the optimizer chose to use a different kind of join, all the pairs
     that the equality operator says are equal will be found.
     We don't want that kind of inconsistency, so we don't mark interval
     equality as hashable.
    </para>

    <para>
     There are also machine-dependent ways in which a hash join might fail
     to do the right thing.  For example, if your datatype
     is a structure in which there may be uninteresting pad bits, it's unsafe
     to mark the equality operator HASHES.  (Unless, perhaps, you write
     your other operators to ensure that the unused bits are always zero.)
     Another example is that the FLOAT datatypes are unsafe for hash
     joins.  On machines that meet the IEEE floating point standard, minus
     zero and plus zero are different values (different bit patterns) but
     they are defined to compare equal.  So, if float equality were marked
     HASHES, a minus zero and a plus zero would probably not be matched up
     by a hash join, but they would be matched up by any other join process.
    </para>

    <para>
     The bottom line is that you should probably only use HASHES for
     equality operators that are (or could be) implemented by memcmp().
    </para>

   </sect2>

   <sect2>
    <title>SORT1 and SORT2</title>

    <para>
     The SORT clauses, if present, tell the system that it is permissible to use
     the merge join method for a join based on the current operator.
     Both must be specified if either is.  The current operator must be
     equality for some pair of data types, and the SORT1 and SORT2 clauses
     name the ordering operator ('<' operator) for the left and right-side
     data types respectively.
    </para>

    <para>
     Merge join is based on the idea of sorting the left and righthand tables
     into order and then scanning them in parallel.  So, both data types must
     be capable of being fully ordered, and the join operator must be one
     that can only succeed for pairs of values that fall at the "same place"
     in the sort order.  In practice this means that the join operator must
     behave like equality.  But unlike hashjoin, where the left and right
     data types had better be the same (or at least bitwise equivalent),
     it is possible to mergejoin two
     distinct data types so long as they are logically compatible.  For
     example, the int2-versus-int4 equality operator is mergejoinable.
     We only need sorting operators that will bring both datatypes into a
     logically compatible sequence.
    </para>

    <para>
     When specifying merge sort operators, the current operator and both
     referenced operators must return boolean; the SORT1 operator must have
     both input datatypes equal to the current operator's left argument type,
     and the SORT2 operator must have
     both input datatypes equal to the current operator's right argument type.
     (As with COMMUTATOR and NEGATOR, this means that the operator name is
     sufficient to specify the operator, and the system is able to make dummy
     operator entries if you happen to define the equality operator before
     the other ones.)
    </para>

    <para>
     In practice you should only write SORT clauses for an '=' operator,
     and the two referenced operators should always be named '<'.  Trying
     to use merge join with operators named anything else will result in
     hopeless confusion, for reasons we'll see in a moment.
    </para>

    <para>
     There are additional restrictions on operators that you mark
     mergejoinable.  These restrictions are not currently checked by
     CREATE OPERATOR, but a merge join may fail at runtime if any are
     not true:

     <itemizedlist>
      <listitem>
       <para>
	The mergejoinable equality operator must have a commutator
	(itself if the two data types are the same, or a related equality operator
	if they are different).
       </para>
      </listitem>

      <listitem>
       <para>
	There must be '<' and '>' ordering operators having the same left and
	right input datatypes as the mergejoinable operator itself.  These
	operators <emphasis>must</emphasis> be named '<' and '>'; you do
	not have any choice in the matter, since there is no provision for
	specifying them explicitly.  Note that if the left and right data types
	are different, neither of these operators is the same as either
	SORT operator.  But they had better order the data values compatibly
	with the SORT operators, or mergejoin will fail to work.
       </para>
      </listitem>
     </itemizedlist>
    </para>
   </sect2>

  </sect1>
 </Chapter>

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