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<html>
<head>
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<title>17.6.Query Planning</title>
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<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF"><div class="sect1" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="runtime-config-query"></a>17.6.Query Planning</h2></div></div></div>
<div class="sect2" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="runtime-config-query-enable"></a>17.6.1.Planner Method Configuration</h3></div></div></div>
<p>       These configuration parameters provide a crude method of
       influencing the query plans chosen by the query optimizer. If
       the default plan chosen by the optimizer for a particular query
       is not optimal, a temporary solution may be found by using one
       of these configuration parameters to force the optimizer to
       choose a different plan.  Turning one of these settings off
       permanently is seldom a good idea, however.
       Better ways to improve the quality of the
       plans chosen by the optimizer include adjusting the <a href="runtime-config-query.html#runtime-config-query-constants">      Planner Cost Constants
     </a>, running <a href="sql-analyze.html">ANALYZE</a> more
       frequently, increasing the value of the <a href="runtime-config-query.html#guc-default-statistics-target">default_statistics_target</a> configuration parameter,
       and increasing the amount of statistics collected for
       specific columns using <code class="command">ALTER TABLE SET
       STATISTICS</code>.
      </p>
<div class="variablelist"><dl>
<dt>
<a name="guc-enable-bitmapscan"></a><span class="term"><code class="varname">enable_bitmapscan</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of bitmap-scan plan
        types. The default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-hashagg"></a><span class="term"><code class="varname">enable_hashagg</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of hashed
        aggregation plan types. The default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-hashjoin"></a><span class="term"><code class="varname">enable_hashjoin</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of hash-join plan
        types. The default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-indexscan"></a><span class="term"><code class="varname">enable_indexscan</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of index-scan plan
        types. The default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-mergejoin"></a><span class="term"><code class="varname">enable_mergejoin</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of merge-join plan
        types. The default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-nestloop"></a><span class="term"><code class="varname">enable_nestloop</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of nested-loop join
        plans. It's not possible to suppress nested-loop joins entirely,
        but turning this variable off discourages the planner from using
        one if there are other methods available. The default is
        <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-seqscan"></a><span class="term"><code class="varname">enable_seqscan</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of sequential scan
        plan types. It's not possible to suppress sequential scans
        entirely, but turning this variable off discourages the planner
        from using one if there are other methods available. The
        default is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-sort"></a><span class="term"><code class="varname">enable_sort</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of explicit sort
        steps. It's not possible to suppress explicit sorts entirely,
        but turning this variable off discourages the planner from
        using one if there are other methods available. The default
        is <code class="literal">on</code>.
       </p></dd>
<dt>
<a name="guc-enable-tidscan"></a><span class="term"><code class="varname">enable_tidscan</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables the query planner's use of <acronym class="acronym">TID</acronym>
        scan plan types. The default is <code class="literal">on</code>.
       </p></dd>
</dl></div>
</div>
<div class="sect2" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="runtime-config-query-constants"></a>17.6.2.      Planner Cost Constants
     </h3></div></div></div>
<div class="note" style="margin-left: 0.5in; margin-right: 0.5in;">
<h3 class="title">Note</h3>
<p>     Unfortunately, there is no well-defined method for determining
     ideal values for the family of &#8220;<span class="quote">cost</span>&#8221; variables that
     appear below. You are encouraged to experiment and share
     your findings.
    </p>
</div>
<div class="variablelist"><dl>
<dt>
<a name="guc-effective-cache-size"></a><span class="term"><code class="varname">effective_cache_size</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Sets the planner's assumption about the effective size of the
        disk cache that is available to a single index scan.  This is
        factored into estimates of the cost of using an index; a
        higher value makes it more likely index scans will be used, a
        lower value makes it more likely sequential scans will be
        used. When setting this parameter you should consider both
        <span class="productname">PostgreSQL</span>'s shared buffers and the
        portion of the kernel's disk cache that will be used for
        <span class="productname">PostgreSQL</span> data files.  Also, take
        into account the expected number of concurrent queries using
        different indexes, since they will have to share the available
        space.  This parameter has no effect on the size of shared
        memory allocated by <span class="productname">PostgreSQL</span>, nor
        does it reserve kernel disk cache; it is used only for
        estimation purposes.  The value is measured in disk pages,
        which are normally 8192 bytes each. The default is 1000.
       </p></dd>
<dt>
<a name="guc-random-page-cost"></a><span class="term"><code class="varname">random_page_cost</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Sets the planner's estimate of the cost of a
        nonsequentially fetched disk page. This is measured as a
        multiple of the cost of a sequential page fetch. A higher
        value makes it more likely a sequential scan will be used, a
        lower value makes it more likely an index scan will be
        used. The default is four.
       </p></dd>
<dt>
<a name="guc-cpu-tuple-cost"></a><span class="term"><code class="varname">cpu_tuple_cost</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Sets the planner's estimate of the cost of processing
        each row during a query. This is measured as a fraction of
        the cost of a sequential page fetch. The default is 0.01.
       </p></dd>
<dt>
<a name="guc-cpu-index-tuple-cost"></a><span class="term"><code class="varname">cpu_index_tuple_cost</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Sets the planner's estimate of the cost of processing
        each index row during an index scan. This is measured as a
        fraction of the cost of a sequential page fetch. The default
        is 0.001.
       </p></dd>
<dt>
<a name="guc-cpu-operator-cost"></a><span class="term"><code class="varname">cpu_operator_cost</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Sets the planner's estimate of the cost of processing each
        operator in a <code class="literal">WHERE</code> clause. This is measured as a fraction of
        the cost of a sequential page fetch. The default is 0.0025.
       </p></dd>
</dl></div>
</div>
<div class="sect2" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="runtime-config-query-geqo"></a>17.6.3.Genetic Query Optimizer</h3></div></div></div>
<div class="variablelist"><dl>
<dt>
<a name="guc-geqo"></a><span class="term"><code class="varname">geqo</code> (<code class="type">boolean</code>)</span>
</dt>
<dd><p>        Enables or disables genetic query optimization, which is an
        algorithm that attempts to do query planning without
        exhaustive searching. This is on by default. The
        <code class="varname">geqo_threshold</code> variable provides a more
        granular way to disable GEQO for certain classes of queries.
       </p></dd>
<dt>
<a name="guc-geqo-threshold"></a><span class="term"><code class="varname">geqo_threshold</code> (<code class="type">integer</code>)</span>
</dt>
<dd><p>        Use genetic query optimization to plan queries with at least
        this many <code class="literal">FROM</code> items involved. (Note that an outer
        <code class="literal">JOIN</code> construct counts as only one <code class="literal">FROM</code>
        item.) The default is 12. For simpler queries it is usually best
        to use the deterministic, exhaustive planner, but for queries with
        many tables the deterministic planner takes too long.
       </p></dd>
<dt>
<a name="guc-geqo-effort"></a><span class="term"><code class="varname">geqo_effort</code>
      (<code class="type">integer</code>)</span>
</dt>
<dd>
<p>        Controls the trade off between planning time and query plan
        efficiency in GEQO. This variable must be an integer in the
        range from 1 to 10. The default value is 5. Larger values
        increase the time spent doing query planning, but also
        increase the likelihood that an efficient query plan will be
        chosen.
       </p>
<p>        <code class="varname">geqo_effort</code> doesn't actually do anything
        directly; it is only used to compute the default values for
        the other variables that influence GEQO behavior (described
        below). If you prefer, you can set the other parameters by
        hand instead.
       </p>
</dd>
<dt>
<a name="guc-geqo-pool-size"></a><span class="term"><code class="varname">geqo_pool_size</code> (<code class="type">integer</code>)</span>
</dt>
<dd><p>        Controls the pool size used by GEQO. The pool size is the
        number of individuals in the genetic population.  It must be
        at least two, and useful values are typically 100 to 1000.  If
        it is set to zero (the default setting) then a suitable
        default is chosen based on <code class="varname">geqo_effort</code> and
        the number of tables in the query.
       </p></dd>
<dt>
<a name="guc-geqo-generations"></a><span class="term"><code class="varname">geqo_generations</code> (<code class="type">integer</code>)</span>
</dt>
<dd><p>        Controls the number of generations used by GEQO.  Generations
        specifies the number of iterations of the algorithm.  It must
        be at least one, and useful values are in the same range as
        the pool size.  If it is set to zero (the default setting)
        then a suitable default is chosen based on
        <code class="varname">geqo_pool_size</code>.
       </p></dd>
<dt>
<a name="guc-geqo-selection-bias"></a><span class="term"><code class="varname">geqo_selection_bias</code> (<code class="type">floating point</code>)</span>
</dt>
<dd><p>        Controls the selection bias used by GEQO. The selection bias
        is the selective pressure within the population. Values can be
        from 1.50 to 2.00; the latter is the default.
       </p></dd>
</dl></div>
</div>
<div class="sect2" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="runtime-config-query-other"></a>17.6.4.Other Planner Options</h3></div></div></div>
<div class="variablelist"><dl>
<dt>
<a name="guc-default-statistics-target"></a><span class="term"><code class="varname">default_statistics_target</code> (<code class="type">integer</code>)</span>
</dt>
<dd><p>        Sets the default statistics target for table columns that have
        not had a column-specific target set via <code class="command">ALTER TABLE
        SET STATISTICS</code>.  Larger values increase the time needed to
        do <code class="command">ANALYZE</code>, but may improve the quality of the
        planner's estimates. The default is 10. For more information
        on the use of statistics by the <span class="productname">PostgreSQL</span>
        query planner, refer to <a href="planner-stats.html" title="13.2.Statistics Used by the Planner">Section13.2, &#8220;Statistics Used by the Planner&#8221;</a>.
       </p></dd>
<dt>
<a name="guc-constraint-exclusion"></a><span class="term"><code class="varname">constraint_exclusion</code> (<code class="type">boolean</code>)</span>
</dt>
<dd>
<p>        Enables or disables the query planner's use of table constraints to
        optimize queries.  The default is <code class="literal">off</code>.
       </p>
<p>        When this parameter is <code class="literal">on</code>, the planner compares
        query conditions with table <code class="literal">CHECK</code> constraints, and
        omits scanning tables for which the conditions contradict the
        constraints.  (Presently this is done only for child tables of
        inheritance scans.)  For example:

</p>
<pre class="programlisting">CREATE TABLE parent(key integer, ...);
CREATE TABLE child1000(check (key between 1000 and 1999)) INHERITS(parent);
CREATE TABLE child2000(check (key between 2000 and 2999)) INHERITS(parent);
...
SELECT * FROM parent WHERE key = 2400;</pre>
<p>

        With constraint exclusion enabled, this <code class="command">SELECT</code>
        will not scan <code class="structname">child1000</code> at all.  This can
        improve performance when inheritance is used to build
        partitioned tables.
       </p>
<p>        Currently, <code class="varname">constraint_exclusion</code> is disabled by
        default because it risks incorrect results if query plans are
        cached [mdash ] if a table constraint is changed or dropped,
        the previously generated plan might now be wrong, and there is
        no built-in mechanism to force re-planning.  (This deficiency
        will probably be addressed in a future
        <span class="productname">PostgreSQL</span> release.)  Another reason for
        keeping it off is that the constraint checks are relatively
        expensive, and in many circumstances will yield no savings.
        It is recommended to turn this on only if you are actually
        using partitioned tables designed to take advantage of the
        feature.
       </p>
<p>        Refer to <a href="ddl-partitioning.html" title="5.9.Partitioning">Section5.9, &#8220;Partitioning&#8221;</a> for more information
        on using constraint exclusion and partitioning.
       </p>
</dd>
<dt>
<a name="guc-from-collapse-limit"></a><span class="term"><code class="varname">from_collapse_limit</code> (<code class="type">integer</code>)</span>
</dt>
<dd><p>        The planner will merge sub-queries into upper queries if the
        resulting <code class="literal">FROM</code> list would have no more than
        this many items.  Smaller values reduce planning time but may
        yield inferior query plans.  The default is 8.  It is usually
        wise to keep this less than <a href="runtime-config-query.html#guc-geqo-threshold">geqo_threshold</a>.
       </p></dd>
<dt>
<a name="guc-join-collapse-limit"></a><span class="term"><code class="varname">join_collapse_limit</code> (<code class="type">integer</code>)</span>
</dt>
<dd>
<p>        The planner will rewrite explicit inner <code class="literal">JOIN</code>
        constructs into lists of <code class="literal">FROM</code> items whenever a
        list of no more than this many items in total would
        result. Prior to <span class="productname">PostgreSQL</span> 7.4, joins
        specified via the <code class="literal">JOIN</code> construct would
        never be reordered by the query planner. The query planner has
        subsequently been improved so that inner joins written in this
        form can be reordered; this configuration parameter controls
        the extent to which this reordering is performed.
        </p>
<div class="note" style="margin-left: 0.5in; margin-right: 0.5in;">
<h3 class="title">Note</h3>
<p>          At present, the order of outer joins specified via the
          <code class="literal">JOIN</code> construct is never adjusted by the query
          planner; therefore, <code class="varname">join_collapse_limit</code> has no
          effect on this behavior. The planner may be improved to
          reorder some classes of outer joins in a future release of
          <span class="productname">PostgreSQL</span>.
         </p>
</div>
<p>
       </p>
<p>        By default, this variable is set the same as
        <code class="varname">from_collapse_limit</code>, which is appropriate
        for most uses. Setting it to 1 prevents any reordering of
        inner <code class="literal">JOIN</code>s. Thus, the explicit join order
        specified in the query will be the actual order in which the
        relations are joined. The query planner does not always choose
        the optimal join order; advanced users may elect to
        temporarily set this variable to 1, and then specify the join
        order they desire explicitly. Another consequence of setting
        this variable to 1 is that the query planner will behave more
        like the <span class="productname">PostgreSQL</span> 7.3 query
        planner, which some users might find useful for backward
        compatibility reasons.
       </p>
<p>        Setting this variable to a value between 1 and
        <code class="varname">from_collapse_limit</code> might be useful to
        trade off planning time against the quality of the chosen plan
        (higher values produce better plans).
       </p>
</dd>
</dl></div>
</div>
</div></body>
</html>