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$PostgreSQL: pgsql/doc/src/sgml/indexam.sgml,v 2.2 2005/03/21 01:23:55 tgl Exp $
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<chapter id="indexam">
 <title>Index Access Method Interface Definition</title>

  <para>
   This chapter defines the interface between the core
   <productname>PostgreSQL</productname> system and <firstterm>index access
   methods</>, which manage individual index types.  The core system
   knows nothing about indexes beyond what is specified here, so it is
   possible to develop entirely new index types by writing add-on code.
  </para>

  <para>
   All indexes in <productname>PostgreSQL</productname> are what are known
   technically as <firstterm>secondary indexes</>; that is, the index is
   physically separate from the table file that it describes.  Each index
   is stored as its own physical <firstterm>relation</> and so is described
   by an entry in the <structname>pg_class</> catalog.  The contents of an
   index are entirely under the control of its index access method.  In
   practice, all index access methods divide indexes into standard-size
   pages so that they can use the regular storage manager and buffer manager
   to access the index contents.  (All the existing index access methods
   furthermore use the standard page layout described in <xref
   linkend="storage-page-layout">, and they all use the same format for index
   tuple headers; but these decisions are not forced on an access method.)
  </para>

  <para>
   An index is effectively a mapping from some data key values to
   <firstterm>tuple identifiers</>, or <acronym>TIDs</>, of row versions
   (tuples) in the index's parent table.  A TID consists of a
   block number and an item number within that block (see <xref
   linkend="storage-page-layout">).  This is sufficient
   information to fetch a particular row version from the table.
   Indexes are not directly aware that under MVCC, there may be multiple
   extant versions of the same logical row; to an index, each tuple is
   an independent object that needs its own index entry.  Thus, an
   update of a row always creates all-new index entries for the row, even if
   the key values did not change.  Index entries for dead tuples are
   reclaimed (by vacuuming) when the dead tuples themselves are reclaimed.
  </para>

 <sect1 id="index-catalog">
  <title>Catalog Entries for Indexes</title>

  <para>
   Each index access method is described by a row in the
   <structname>pg_am</structname> system catalog (see
   <xref linkend="catalog-pg-am">).  The principal contents of a
   <structname>pg_am</structname> row are references to
   <link linkend="catalog-pg-proc"><structname>pg_proc</structname></link>
   entries that identify the index access
   functions supplied by the access method.  The APIs for these functions
   are defined later in this chapter.  In addition, the
   <structname>pg_am</structname> row specifies a few fixed properties of
   the access method, such as whether it can support multi-column indexes.
   There is not currently any special support
   for creating or deleting <structname>pg_am</structname> entries;
   anyone able to write a new access method is expected to be competent
   to insert an appropriate row for themselves.
  </para>

  <para>
   To be useful, an index access method must also have one or more
   <firstterm>operator classes</> defined in
   <link linkend="catalog-pg-opclass"><structname>pg_opclass</structname></link>,
   <link linkend="catalog-pg-amop"><structname>pg_amop</structname></link>, and
   <link linkend="catalog-pg-amproc"><structname>pg_amproc</structname></link>.
   These entries allow the planner
   to determine what kinds of query qualifications can be used with
   indexes of this access method.  Operator classes are described
   in <xref linkend="xindex">, which is prerequisite material for reading
   this chapter.
  </para>

  <para>
   An individual index is defined by a 
   <link linkend="catalog-pg-class"><structname>pg_class</structname></link>
   entry that describes it as a physical relation, plus a
   <link linkend="catalog-pg-index"><structname>pg_index</structname></link>
   entry that shows the logical content of the index &mdash; that is, the set
   of index columns it has and the semantics of those columns, as captured by
   the associated operator classes.  The index columns (key values) can be
   either simple columns of the underlying table or expressions over the table
   rows.  The index access method normally has no interest in where the index
   key values come from (it is always handed precomputed key values) but it
   will be very interested in the operator class information in
   <structname>pg_index</structname>.  Both of these catalog entries can be
   accessed as part of the <structname>Relation</> data structure that is
   passed to all operations on the index.
  </para>

  <para>
   Some of the flag columns of <structname>pg_am</structname> have nonobvious
   implications.  The requirements of <structfield>amcanunique</structfield>
   are discussed in <xref linkend="index-unique-checks">, and those of
   <structfield>amconcurrent</structfield> in <xref linkend="index-locking">.
   The <structfield>amcanmulticol</structfield> flag asserts that the
   access method supports multi-column indexes, while
   <structfield>amindexnulls</structfield> asserts that index entries are
   created for NULL key values.  Since most indexable operators are
   strict and hence cannot return TRUE for NULL inputs,
   it is at first sight attractive to not store index entries for NULLs:
   they could never be returned by an index scan anyway.  However, this
   argument fails for a full-table index scan (one with no scan keys);
   such a scan should include null rows.  In practice this means that
   indexes that support ordered scans (have <structfield>amorderstrategy</>
   nonzero) must index nulls, since the planner might decide to use such a
   scan as a substitute for sorting.  Another restriction is that an index
   access method that supports multiple index columns <emphasis>must</>
   support indexing null values in columns after the first, because the planner
   will assume the index can be used for queries on just the first
   column(s).  For example, consider an index on (a,b) and a query with
   <literal>WHERE a = 4</literal>.  The system will assume the index can be
   used to scan for rows with <literal>a = 4</literal>, which is wrong if the
   index omits rows where <literal>b</> is null.
   It is, however, OK to omit rows where the first indexed column is null.
   (GiST currently does so.)  Thus,
   <structfield>amindexnulls</structfield> should be set true only if the
   index access method indexes all rows, including arbitrary combinations of
   null values.
  </para>

 </sect1>

 <sect1 id="index-functions">
  <title>Index Access Method Functions</title>

  <para>
   The index construction and maintenance functions that an index access
   method must provide are:
  </para>

  <para>
<programlisting>
void
ambuild (Relation heapRelation,
         Relation indexRelation,
         IndexInfo *indexInfo);
</programlisting>
   Build a new index.  The index relation has been physically created,
   but is empty.  It must be filled in with whatever fixed data the
   access method requires, plus entries for all tuples already existing
   in the table.  Ordinarily the <function>ambuild</> function will call
   <function>IndexBuildHeapScan()</> to scan the table for existing tuples
   and compute the keys that need to be inserted into the index.
  </para>

  <para>
<programlisting>
bool
aminsert (Relation indexRelation,
          Datum *values,
          bool *isnull,
          ItemPointer heap_tid,
          Relation heapRelation,
          bool check_uniqueness);
</programlisting>
   Insert a new tuple into an existing index.  The <literal>values</> and
   <literal>isnull</> arrays give the key values to be indexed, and
   <literal>heap_tid</> is the TID to be indexed.
   If the access method supports unique indexes (its
   <structname>pg_am</>.<structfield>amcanunique</> flag is true) then
   <literal>check_uniqueness</> may be true, in which case the access method
   must verify that there is no conflicting row; this is the only situation in
   which the access method normally needs the <literal>heapRelation</>
   parameter.  See <xref linkend="index-unique-checks"> for details.
   The result is TRUE if an index entry was inserted, FALSE if not. (A FALSE
   result does not denote an error condition, but is used for cases such
   as an index AM refusing to index a NULL.)
  </para>

  <para>
<programlisting>
IndexBulkDeleteResult *
ambulkdelete (Relation indexRelation,
              IndexBulkDeleteCallback callback,
              void *callback_state);
</programlisting>
   Delete tuple(s) from the index.  This is a <quote>bulk delete</> operation
   that is intended to be implemented by scanning the whole index and checking
   each entry to see if it should be deleted.
   The passed-in <literal>callback</> function may be called, in the style
   <literal>callback(<replaceable>TID</>, callback_state) returns bool</literal>,
   to determine whether any particular index entry, as identified by its
   referenced TID, is to be deleted.  Must return either NULL or a palloc'd
   struct containing statistics about the effects of the deletion operation.
  </para>

  <para>
<programlisting>
IndexBulkDeleteResult *
amvacuumcleanup (Relation indexRelation,
                 IndexVacuumCleanupInfo *info,
                 IndexBulkDeleteResult *stats);
</programlisting>
   Clean up after a <command>VACUUM</command> operation (one or more
   <function>ambulkdelete</> calls).  An index access method does not have
   to provide this function (if so, the entry in <structname>pg_am</> must
   be zero).  If it is provided, it is typically used for bulk cleanup
   such as reclaiming empty index pages.  <literal>info</>
   provides some additional arguments such as a message level for statistical
   reports, and <literal>stats</> is whatever the last
   <function>ambulkdelete</> call returned.  <function>amvacuumcleanup</>
   may replace or modify this struct before returning it.  If the result
   is not NULL it must be a palloc'd struct.  The statistics it contains
   will be reported by <command>VACUUM</> if <literal>VERBOSE</> is given.
  </para>

  <para>
   The purpose of an index, of course, is to support scans for tuples matching
   an indexable <literal>WHERE</> condition, often called a
   <firstterm>qualifier</> or <firstterm>scan key</>.  The semantics of
   index scanning are described more fully in <xref linkend="index-scanning">,
   below.  The scan-related functions that an index access method must provide
   are:
  </para>

  <para>
<programlisting>
IndexScanDesc
ambeginscan (Relation indexRelation,
             int nkeys,
             ScanKey key);
</programlisting>
   Begin a new scan.  The <literal>key</> array (of length <literal>nkeys</>)
   describes the scan key(s) for the index scan.  The result must be a
   palloc'd struct. For implementation reasons the index access method
   <emphasis>must</> create this struct by calling
   <function>RelationGetIndexScan()</>.  In most cases
   <function>ambeginscan</> itself does little beyond making that call;
   the interesting parts of indexscan startup are in <function>amrescan</>.
  </para>

  <para>
<programlisting>
boolean
amgettuple (IndexScanDesc scan,
            ScanDirection direction);
</programlisting>
   Fetch the next tuple in the given scan, moving in the given
   direction (forward or backward in the index).  Returns TRUE if a tuple was
   obtained, FALSE if no matching tuples remain.  In the TRUE case the tuple
   TID is stored into the <literal>scan</> structure.  Note that
   <quote>success</> means only that the index contains an entry that matches
   the scan keys, not that the tuple necessarily still exists in the heap or
   will pass the caller's snapshot test.
  </para>

  <para>
<programlisting>
void
amrescan (IndexScanDesc scan,
          ScanKey key);
</programlisting>
   Restart the given scan, possibly with new scan keys (to continue using
   the old keys, NULL is passed for <literal>key</>).  Note that it is not
   possible for the number of keys to be changed.  In practice the restart
   feature is used when a new outer tuple is selected by a nestloop join
   and so a new key comparison value is needed, but the scan key structure
   remains the same.  This function is also called by
   <function>RelationGetIndexScan()</>, so it is used for initial setup
   of an indexscan as well as rescanning.
  </para>

  <para>
<programlisting>
void
amendscan (IndexScanDesc scan);
</programlisting>
   End a scan and release resources.  The <literal>scan</> struct itself
   should not be freed, but any locks or pins taken internally by the
   access method must be released.
  </para>

  <para>
<programlisting>
void
ammarkpos (IndexScanDesc scan);
</programlisting>
   Mark current scan position.  The access method need only support one
   remembered scan position per scan.
  </para>

  <para>
<programlisting>
void
amrestrpos (IndexScanDesc scan);
</programlisting>
   Restore the scan to the most recently marked position.
  </para>

  <para>
<programlisting>
void
amcostestimate (Query *root,
                RelOptInfo *rel,
                IndexOptInfo *index,
                List *indexQuals,
                Cost *indexStartupCost,
                Cost *indexTotalCost,
                Selectivity *indexSelectivity,
                double *indexCorrelation);
</programlisting>
   Estimate the costs of an index scan.  This function is described fully
   in <xref linkend="index-cost-estimation">, below.
  </para>

  <para>
   By convention, the <literal>pg_proc</literal> entry for any index
   access method function should show the correct number of arguments,
   but declare them all as type <type>internal</> (since most of the arguments
   have types that are not known to SQL, and we don't want users calling
   the functions directly anyway).  The return type is declared as
   <type>void</>, <type>internal</>, or <type>boolean</> as appropriate.
  </para>

 </sect1>

 <sect1 id="index-scanning">
  <title>Index Scanning</title>

  <para>
   In an index scan, the index access method is responsible for regurgitating
   the TIDs of all the tuples it has been told about that match the
   <firstterm>scan keys</>.  The access method is <emphasis>not</> involved in
   actually fetching those tuples from the index's parent table, nor in
   determining whether they pass the scan's time qualification test or other
   conditions.
  </para>

  <para>
   A scan key is the internal representation of a <literal>WHERE</> clause of
   the form <replaceable>index_key</> <replaceable>operator</>
   <replaceable>constant</>, where the index key is one of the columns of the
   index and the operator is one of the members of the operator class
   associated with that index column.  An index scan has zero or more scan
   keys, which are implicitly ANDed &mdash; the returned tuples are expected
   to satisfy all the indicated conditions.
  </para>

  <para>
   The operator class may indicate that the index is <firstterm>lossy</> for a
   particular operator; this implies that the index scan will return all the
   entries that pass the scan key, plus possibly additional entries that do
   not.  The core system's indexscan machinery will then apply that operator
   again to the heap tuple to verify whether or not it really should be
   selected.  For non-lossy operators, the index scan must return exactly the
   set of matching entries, as there is no recheck.
  </para>

  <para>
   Note that it is entirely up to the access method to ensure that it
   correctly finds all and only the entries passing all the given scan keys.
   Also, the core system will simply hand off all the <literal>WHERE</>
   clauses that match the index keys and operator classes, without any
   semantic analysis to determine whether they are redundant or
   contradictory.  As an example, given
   <literal>WHERE x &gt; 4 AND x &gt; 14</> where <literal>x</> is a b-tree
   indexed column, it is left to the b-tree <function>amrescan</> function
   to realize that the first scan key is redundant and can be discarded.
   The extent of preprocessing needed during <function>amrescan</> will
   depend on the extent to which the index access method needs to reduce
   the scan keys to a <quote>normalized</> form.
  </para>

  <para>
   The <function>amgettuple</> function has a <literal>direction</> argument,
   which can be either <literal>ForwardScanDirection</> (the normal case)
   or  <literal>BackwardScanDirection</>.  If the first call after
   <function>amrescan</> specifies <literal>BackwardScanDirection</>, then the
   set of matching index entries is to be scanned back-to-front rather than in
   the normal front-to-back direction, so <function>amgettuple</> must return
   the last matching tuple in the index, rather than the first one as it
   normally would.  (This will only occur for access
   methods that advertise they support ordered scans by setting
   <structname>pg_am</>.<structfield>amorderstrategy</> nonzero.)  After the
   first call, <function>amgettuple</> must be prepared to advance the scan in
   either direction from the most recently returned entry.
  </para>

  <para>
   The access method must support <quote>marking</> a position in a scan
   and later returning to the marked position.  The same position may be
   restored multiple times.  However, only one position need be remembered
   per scan; a new <function>ammarkpos</> call overrides the previously
   marked position.
  </para>

  <para>
   Both the scan position and the mark position (if any) must be maintained
   consistently in the face of concurrent insertions or deletions in the
   index.  It is OK if a freshly-inserted entry is not returned by a scan that
   would have found the entry if it had existed when the scan started, or for
   the scan to return such an entry upon rescanning or backing
   up even though it had not been returned the first time through.  Similarly,
   a concurrent delete may or may not be reflected in the results of a scan.
   What is important is that insertions or deletions not cause the scan to
   miss or multiply return entries that were not themselves being inserted or
   deleted.  (For an index type that does not set
   <structname>pg_am</>.<structfield>amconcurrent</>, it is sufficient to
   handle these cases for insertions or deletions performed by the same
   backend that's doing the scan.  But when <structfield>amconcurrent</> is
   true, insertions or deletions from other backends must be handled as well.)
  </para>

 </sect1>

 <sect1 id="index-locking">
  <title>Index Locking Considerations</title>

  <para>
   An index access method can choose whether it supports concurrent updates
   of the index by multiple processes.  If the method's
   <structname>pg_am</>.<structfield>amconcurrent</> flag is true, then
   the core <productname>PostgreSQL</productname> system obtains
   <literal>AccessShareLock</> on the index during an index scan, and
   <literal>RowExclusiveLock</> when updating the index.  Since these lock
   types do not conflict, the access method is responsible for handling any
   fine-grained locking it may need.  An exclusive lock on the index as a whole
   will be taken only during index creation, destruction, or
   <literal>REINDEX</>.  When <structfield>amconcurrent</> is false,
   <productname>PostgreSQL</productname> still obtains
   <literal>AccessShareLock</> during index scans, but it obtains
   <literal>AccessExclusiveLock</> during any update.  This ensures that
   updaters have sole use of the index.  Note that this implicitly assumes
   that index scans are read-only; an access method that might modify the
   index during a scan will still have to do its own locking to handle the
   case of concurrent scans.
  </para>

  <para>
   Recall that a backend's own locks never conflict; therefore, even a
   non-concurrent index type must be prepared to handle the case where
   a backend is inserting or deleting entries in an index that it is itself
   scanning.  (This is of course necessary to support an <command>UPDATE</>
   that uses the index to find the rows to be updated.)
  </para>

  <para>
   Building an index type that supports concurrent updates usually requires
   extensive and subtle analysis of the required behavior.  For the b-tree
   and hash index types, you can read about the design decisions involved in
   <filename>src/backend/access/nbtree/README</> and
   <filename>src/backend/access/hash/README</>.
  </para>

  <para>
   Aside from the index's own internal consistency requirements, concurrent
   updates create issues about consistency between the parent table (the
   <firstterm>heap</>) and the index.  Because
   <productname>PostgreSQL</productname> separates accesses 
   and updates of the heap from those of the index, there are windows in
   which the index may be inconsistent with the heap.  We handle this problem
   with the following rules:

    <itemizedlist>
     <listitem>
      <para>
       A new heap entry is made before making its index entries.  (Therefore
       a concurrent index scan is likely to fail to see the heap entry.
       This is okay because the index reader would be uninterested in an
       uncommitted row anyway.  But see <xref linkend="index-unique-checks">.)
      </para>
     </listitem>
     <listitem>
      <para>
       When a heap entry is to be deleted (by <command>VACUUM</>), all its
       index entries must be removed first.
      </para>
     </listitem>
     <listitem>
      <para>
       For concurrent index types, an indexscan must maintain a pin
       on the index page holding the item last returned by
       <function>amgettuple</>, and <function>ambulkdelete</> cannot delete
       entries from pages that are pinned by other backends.  The need
       for this rule is explained below.
      </para>
     </listitem>
    </itemizedlist>

   If an index is concurrent then it is possible for an index reader to
   see an index entry just before it is removed by <command>VACUUM</>, and
   then to arrive at the corresponding heap entry after that was removed by
   <command>VACUUM</>.  (With a nonconcurrent index, this is not possible
   because of the conflicting index-level locks that will be taken out.)
   This creates no serious problems if that item
   number is still unused when the reader reaches it, since an empty
   item slot will be ignored by <function>heap_fetch()</>.  But what if a
   third backend has already re-used the item slot for something else?
   When using an MVCC-compliant snapshot, there is no problem because
   the new occupant of the slot is certain to be too new to pass the
   snapshot test.  However, with a non-MVCC-compliant snapshot (such as
   <literal>SnapshotNow</>), it would be possible to accept and return
   a row that does not in fact match the scan keys.  We could defend
   against this scenario by requiring the scan keys to be rechecked
   against the heap row in all cases, but that is too expensive.  Instead,
   we use a pin on an index page as a proxy to indicate that the reader
   may still be <quote>in flight</> from the index entry to the matching
   heap entry.  Making <function>ambulkdelete</> block on such a pin ensures
   that <command>VACUUM</> cannot delete the heap entry before the reader
   is done with it.  This solution costs little in runtime, and adds blocking
   overhead only in the rare cases where there actually is a conflict.
  </para>

  <para>
   This solution requires that index scans be <quote>synchronous</>: we have
   to fetch each heap tuple immediately after scanning the corresponding index
   entry.  This is expensive for a number of reasons.  An
   <quote>asynchronous</> scan in which we collect many TIDs from the index,
   and only visit the heap tuples sometime later, requires much less index
   locking overhead and may allow a more efficient heap access pattern.
   Per the above analysis, we must use the synchronous approach for
   non-MVCC-compliant snapshots, but an asynchronous scan would be safe
   for a query using an MVCC snapshot.  This possibility is not exploited
   as of <productname>PostgreSQL</productname> 8.0, but it is likely to be
   investigated soon.
  </para>

 </sect1>

 <sect1 id="index-unique-checks">
  <title>Index Uniqueness Checks</title>

  <para>
   <productname>PostgreSQL</productname> enforces SQL uniqueness constraints
   using <firstterm>unique indexes</>, which are indexes that disallow
   multiple entries with identical keys.  An access method that supports this
   feature sets <structname>pg_am</>.<structfield>amcanunique</> true.
   (At present, only b-tree supports it.)
  </para>

  <para>
   Because of MVCC, it is always necessary to allow duplicate entries to
   exist physically in an index: the entries might refer to successive
   versions of a single logical row.  The behavior we actually want to
   enforce is that no MVCC snapshot could include two rows with equal
   index keys.  This breaks down into the following cases that must be
   checked when inserting a new row into a unique index:

    <itemizedlist>
     <listitem>
      <para>
       If a conflicting valid row has been deleted by the current transaction,
       it's okay.  (In particular, since an UPDATE always deletes the old row
       version before inserting the new version, this will allow an UPDATE on
       a row without changing the key.)
      </para>
     </listitem>
     <listitem>
      <para>
       If a conflicting row has been inserted by an as-yet-uncommitted
       transaction, the would-be inserter must wait to see if that transaction
       commits.  If it rolls back then there is no conflict.  If it commits
       without deleting the conflicting row again, there is a uniqueness
       violation.  (In practice we just wait for the other transaction to
       end and then redo the visibility check in toto.)
      </para>
     </listitem>
     <listitem>
      <para>
       Similarly, if a conflicting valid row has been deleted by an
       as-yet-uncommitted transaction, the would-be inserter must wait
       for that transaction to commit or abort, and then repeat the test.
      </para>
     </listitem>
    </itemizedlist>
  </para>

  <para>
   We require the index access method to apply these tests itself, which
   means that it must reach into the heap to check the commit status of
   any row that is shown to have a duplicate key according to the index
   contents.  This is without a doubt ugly and non-modular, but it saves
   redundant work: if we did a separate probe then the index lookup for
   a conflicting row would be essentially repeated while finding the place to
   insert the new row's index entry.  What's more, there is no obvious way
   to avoid race conditions unless the conflict check is an integral part
   of insertion of the new index entry.
  </para>

  <para>
   The main limitation of this scheme is that it has no convenient way
   to support deferred uniqueness checks.
  </para>

 </sect1>

 <sect1 id="index-cost-estimation">
  <title>Index Cost Estimation Functions</title>

  <para>
   The amcostestimate function is given a list of WHERE clauses that have
   been determined to be usable with the index.  It must return estimates
   of the cost of accessing the index and the selectivity of the WHERE
   clauses (that is, the fraction of parent-table rows that will be
   retrieved during the index scan).  For simple cases, nearly all the
   work of the cost estimator can be done by calling standard routines
   in the optimizer; the point of having an amcostestimate function is
   to allow index access methods to provide index-type-specific knowledge,
   in case it is possible to improve on the standard estimates.
  </para>

  <para>
   Each amcostestimate function must have the signature:

<programlisting>
void
amcostestimate (Query *root,
                RelOptInfo *rel,
                IndexOptInfo *index,
                List *indexQuals,
                Cost *indexStartupCost,
                Cost *indexTotalCost,
                Selectivity *indexSelectivity,
                double *indexCorrelation);
</programlisting>

   The first four parameters are inputs:

   <variablelist>
    <varlistentry>
     <term>root</term>
     <listitem>
      <para>
       The query being processed.
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>rel</term>
     <listitem>
      <para>
       The relation the index is on.
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>index</term>
     <listitem>
      <para>
       The index itself.
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>indexQuals</term>
     <listitem>
      <para>
       List of index qual clauses (implicitly ANDed);
       a NIL list indicates no qualifiers are available.
       Note that the list contains expression trees, not ScanKeys.
      </para>
     </listitem>
    </varlistentry>
   </variablelist>
  </para>

  <para>
   The last four parameters are pass-by-reference outputs:

   <variablelist>
    <varlistentry>
     <term>*indexStartupCost</term>
     <listitem>
      <para>
       Set to cost of index start-up processing
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>*indexTotalCost</term>
     <listitem>
      <para>
       Set to total cost of index processing
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>*indexSelectivity</term>
     <listitem>
      <para>
       Set to index selectivity
      </para>
     </listitem>
    </varlistentry>

    <varlistentry>
     <term>*indexCorrelation</term>
     <listitem>
      <para>
       Set to correlation coefficient between index scan order and
       underlying table's order
      </para>
     </listitem>
    </varlistentry>
   </variablelist>
  </para>

  <para>
   Note that cost estimate functions must be written in C, not in SQL or
   any available procedural language, because they must access internal
   data structures of the planner/optimizer.
  </para>

  <para>
   The index access costs should be computed in the units used by
   <filename>src/backend/optimizer/path/costsize.c</filename>: a sequential disk block fetch
   has cost 1.0, a nonsequential fetch has cost random_page_cost, and
   the cost of processing one index row should usually be taken as
   cpu_index_tuple_cost (which is a user-adjustable optimizer parameter).
   In addition, an appropriate multiple of cpu_operator_cost should be charged
   for any comparison operators invoked during index processing (especially
   evaluation of the indexQuals themselves).
  </para>

  <para>
   The access costs should include all disk and CPU costs associated with
   scanning the index itself, but NOT the costs of retrieving or processing
   the parent-table rows that are identified by the index.
  </para>

  <para>
   The <quote>start-up cost</quote> is the part of the total scan cost that must be expended
   before we can begin to fetch the first row.  For most indexes this can
   be taken as zero, but an index type with a high start-up cost might want
   to set it nonzero.
  </para>

  <para>
   The indexSelectivity should be set to the estimated fraction of the parent
   table rows that will be retrieved during the index scan.  In the case
   of a lossy index, this will typically be higher than the fraction of
   rows that actually pass the given qual conditions.
  </para>

  <para>
   The indexCorrelation should be set to the correlation (ranging between
   -1.0 and 1.0) between the index order and the table order.  This is used
   to adjust the estimate for the cost of fetching rows from the parent
   table.
  </para>

  <procedure>
   <title>Cost Estimation</title>
   <para>
    A typical cost estimator will proceed as follows:
   </para>

   <step>
    <para>
     Estimate and return the fraction of parent-table rows that will be visited
     based on the given qual conditions.  In the absence of any index-type-specific
     knowledge, use the standard optimizer function <function>clauselist_selectivity()</function>:

<programlisting>
*indexSelectivity = clauselist_selectivity(root, indexQuals,
                                           rel-&gt;relid, JOIN_INNER);
</programlisting>
    </para>
   </step>

   <step>
    <para>
     Estimate the number of index rows that will be visited during the
     scan.  For many index types this is the same as indexSelectivity times
     the number of rows in the index, but it might be more.  (Note that the
     index's size in pages and rows is available from the IndexOptInfo struct.)
    </para>
   </step>

   <step>
    <para>
     Estimate the number of index pages that will be retrieved during the scan.
     This might be just indexSelectivity times the index's size in pages.
    </para>
   </step>

   <step>
    <para>
     Compute the index access cost.  A generic estimator might do this:

<programlisting>
    /*
     * Our generic assumption is that the index pages will be read
     * sequentially, so they have cost 1.0 each, not random_page_cost.
     * Also, we charge for evaluation of the indexquals at each index row.
     * All the costs are assumed to be paid incrementally during the scan.
     */
    cost_qual_eval(&amp;index_qual_cost, indexQuals);
    *indexStartupCost = index_qual_cost.startup;
    *indexTotalCost = numIndexPages +
        (cpu_index_tuple_cost + index_qual_cost.per_tuple) * numIndexTuples;
</programlisting>
    </para>
   </step>

   <step>
    <para>
     Estimate the index correlation.  For a simple ordered index on a single
     field, this can be retrieved from pg_statistic.  If the correlation
     is not known, the conservative estimate is zero (no correlation).
    </para>
   </step>
  </procedure>

  <para>
   Examples of cost estimator functions can be found in
   <filename>src/backend/utils/adt/selfuncs.c</filename>.
  </para>
 </sect1>
</chapter>

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