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Abuhujair Javed
Postgres FD Implementation
Commits
81c41e3d
Commit
81c41e3d
authored
Jan 05, 2005
by
Tom Lane
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More minor updates and copy-editing.
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doc/src/sgml/arch-dev.sgml
doc/src/sgml/arch-dev.sgml
+49
-32
doc/src/sgml/bki.sgml
doc/src/sgml/bki.sgml
+69
-57
doc/src/sgml/catalogs.sgml
doc/src/sgml/catalogs.sgml
+117
-65
doc/src/sgml/geqo.sgml
doc/src/sgml/geqo.sgml
+25
-15
doc/src/sgml/plhandler.sgml
doc/src/sgml/plhandler.sgml
+5
-5
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doc/src/sgml/arch-dev.sgml
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81c41e3d
<!--
<!--
$PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.2
4 2003/11/29 19:51:36 pgsq
l Exp $
$PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.2
5 2005/01/05 23:42:02 tg
l Exp $
-->
-->
<chapter id="overview">
<chapter id="overview">
...
@@ -63,11 +63,11 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -63,11 +63,11 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
<firstterm>system catalogs</firstterm>) to apply to
<firstterm>system catalogs</firstterm>) to apply to
the query tree. It performs the
the query tree. It performs the
transformations given in the <firstterm>rule bodies</firstterm>.
transformations given in the <firstterm>rule bodies</firstterm>.
One application of the rewrite system is in the realization of
<firstterm>views</firstterm>.
</para>
</para>
<para>
<para>
One application of the rewrite system is in the realization of
<firstterm>views</firstterm>.
Whenever a query against a view
Whenever a query against a view
(i.e. a <firstterm>virtual table</firstterm>) is made,
(i.e. a <firstterm>virtual table</firstterm>) is made,
the rewrite system rewrites the user's query to
the rewrite system rewrites the user's query to
...
@@ -90,8 +90,8 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -90,8 +90,8 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
relation to be scanned, there are two paths for the
relation to be scanned, there are two paths for the
scan. One possibility is a simple sequential scan and the other
scan. One possibility is a simple sequential scan and the other
possibility is to use the index. Next the cost for the execution of
possibility is to use the index. Next the cost for the execution of
each p
lan is estimated and the
each p
ath is estimated and the cheapest path is chosen. The cheapest
cheapest plan is chosen and handed back
.
path is expanded into a complete plan that the executor can use
.
</para>
</para>
</step>
</step>
...
@@ -142,7 +142,8 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -142,7 +142,8 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
<productname>PostgreSQL</productname> protocol described in
<productname>PostgreSQL</productname> protocol described in
<xref linkend="protocol">. Many clients are based on the
<xref linkend="protocol">. Many clients are based on the
C-language library <application>libpq</>, but several independent
C-language library <application>libpq</>, but several independent
implementations exist, such as the Java <application>JDBC</> driver.
implementations of the protocol exist, such as the Java
<application>JDBC</> driver.
</para>
</para>
<para>
<para>
...
@@ -339,7 +340,7 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -339,7 +340,7 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
different ways, each of which will produce the same set of
different ways, each of which will produce the same set of
results. If it is computationally feasible, the query optimizer
results. If it is computationally feasible, the query optimizer
will examine each of these possible execution plans, ultimately
will examine each of these possible execution plans, ultimately
selecting the execution plan that
will
run the fastest.
selecting the execution plan that
is expected to
run the fastest.
</para>
</para>
<note>
<note>
...
@@ -355,20 +356,26 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -355,20 +356,26 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
</note>
</note>
<para>
<para>
After the cheapest path is determined, a <firstterm>plan tree</>
The planner's search procedure actually works with data structures
is built to pass to the executor. This represents the desired
called <firstterm>paths</>, which are simply cut-down representations of
execution plan in sufficient detail for the executor to run it.
plans containing only as much information as the planner needs to make
its decisions. After the cheapest path is determined, a full-fledged
<firstterm>plan tree</> is built to pass to the executor. This represents
the desired execution plan in sufficient detail for the executor to run it.
In the rest of this section we'll ignore the distinction between paths
and plans.
</para>
</para>
<sect2>
<sect2>
<title>Generating Possible Plans</title>
<title>Generating Possible Plans</title>
<para>
<para>
The planner/optimizer decides which plans should be generated
The planner/optimizer starts by generating plans for scanning each
based upon the types of indexes defined on the relations appearing in
individual relation (table) used in the query. The possible plans
a query. There is always the possibility of performing a
are determined by the available indexes on each relation.
sequential scan on a relation, so a plan using only
There is always the possibility of performing a
sequential scans is always created. Assume an index is defined on a
sequential scan on a relation, so a sequential scan plan is always
created. Assume an index is defined on a
relation (for example a B-tree index) and a query contains the
relation (for example a B-tree index) and a query contains the
restriction
restriction
<literal>relation.attribute OPR constant</literal>. If
<literal>relation.attribute OPR constant</literal>. If
...
@@ -395,37 +402,47 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -395,37 +402,47 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
<itemizedlist>
<itemizedlist>
<listitem>
<listitem>
<para>
<para>
<firstterm>nested loop join</firstterm>: The right relation is scanned
<firstterm>nested loop join</firstterm>: The right relation is scanned
once for every row found in the left relation. This strategy
once for every row found in the left relation. This strategy
is easy to implement but can be very time consuming. (However,
is easy to implement but can be very time consuming. (However,
if the right relation can be scanned with an index scan, this can
if the right relation can be scanned with an index scan, this can
be a good strategy. It is possible to use values from the current
be a good strategy. It is possible to use values from the current
row of the left relation as keys for the index scan of the right.)
row of the left relation as keys for the index scan of the right.)
</para>
</para>
</listitem>
</listitem>
<listitem>
<listitem>
<para>
<para>
<firstterm>merge sort join</firstterm>: Each relation is sorted on the join
<firstterm>merge sort join</firstterm>: Each relation is sorted on the join
attributes before the join starts. Then the two relations are
attributes before the join starts. Then the two relations are
merged together taking into account that both relations are
scanned in parallel, and matching rows are combined to form
ordered on the join attributes. This kind of join is more
join rows. This kind of join is more
attractive because each relation has to be scanned only once.
attractive because each relation has to be scanned only once.
The required sorting may be achieved either by an explicit sort
step, or by scanning the relation in the proper order using an
index on the join key.
</para>
</para>
</listitem>
</listitem>
<listitem>
<listitem>
<para>
<para>
<firstterm>hash join</firstterm>: the right relation is first scanned
<firstterm>hash join</firstterm>: the right relation is first scanned
and loaded into a hash table, using its join attributes as hash keys.
and loaded into a hash table, using its join attributes as hash keys.
Next the left relation is scanned and the
Next the left relation is scanned and the
appropriate values of every row found are used as hash keys to
appropriate values of every row found are used as hash keys to
locate the matching rows in the table.
locate the matching rows in the table.
</para>
</para>
</listitem>
</listitem>
</itemizedlist>
</itemizedlist>
</para>
</para>
<para>
When the query involves more than two relations, the final result
must be built up by a tree of join steps, each with two inputs.
The planner examines different possible join sequences to find the
cheapest one.
</para>
<para>
<para>
The finished plan tree consists of sequential or index scans of
The finished plan tree consists of sequential or index scans of
the base relations, plus nested-loop, merge, or hash join nodes as
the base relations, plus nested-loop, merge, or hash join nodes as
...
@@ -512,7 +529,7 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
...
@@ -512,7 +529,7 @@ $PostgreSQL: pgsql/doc/src/sgml/arch-dev.sgml,v 2.24 2003/11/29 19:51:36 pgsql E
the executor top level uses this information to create a new updated row
the executor top level uses this information to create a new updated row
and mark the old row deleted. For <command>DELETE</>, the only column
and mark the old row deleted. For <command>DELETE</>, the only column
that is actually returned by the plan is the TID, and the executor top
that is actually returned by the plan is the TID, and the executor top
level simply uses the TID to visit
the target rows and mark them
deleted.
level simply uses the TID to visit
each target row and mark it
deleted.
</para>
</para>
</sect1>
</sect1>
...
...
doc/src/sgml/bki.sgml
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81c41e3d
<!--
<!--
$PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.1
2 2003/11/29 19:51:36 pgsq
l Exp $
$PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.1
3 2005/01/05 23:42:03 tg
l Exp $
-->
-->
<chapter id="bki">
<chapter id="bki">
...
@@ -7,10 +7,11 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -7,10 +7,11 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
<para>
<para>
Backend Interface (<acronym>BKI</acronym>) files are scripts in a
Backend Interface (<acronym>BKI</acronym>) files are scripts in a
special language that are input to the
special language that is understood by the
<productname>PostgreSQL</productname> backend running in the special
<productname>PostgreSQL</productname> backend when running in the
<quote>bootstrap</quote> mode that allows it to perform database
<quote>bootstrap</quote> mode. The bootstrap mode allows system catalogs
functions without a database system already existing.
to be created and filled from scratch, whereas ordinary SQL commands
require the catalogs to exist already.
<acronym>BKI</acronym> files can therefore be used to create the
<acronym>BKI</acronym> files can therefore be used to create the
database system in the first place. (And they are probably not
database system in the first place. (And they are probably not
useful for anything else.)
useful for anything else.)
...
@@ -21,8 +22,9 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -21,8 +22,9 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
to do part of its job when creating a new database cluster. The
to do part of its job when creating a new database cluster. The
input file used by <application>initdb</application> is created as
input file used by <application>initdb</application> is created as
part of building and installing <productname>PostgreSQL</productname>
part of building and installing <productname>PostgreSQL</productname>
by a program named <filename>genbki.sh</filename> from some
by a program named <filename>genbki.sh</filename>, which reads some
specially formatted C header files in the source tree. The created
specially formatted C header files in the <filename>src/include/catalog/</>
directory of the source tree. The created
<acronym>BKI</acronym> file is called <filename>postgres.bki</filename> and is
<acronym>BKI</acronym> file is called <filename>postgres.bki</filename> and is
normally installed in the
normally installed in the
<filename>share</filename> subdirectory of the installation tree.
<filename>share</filename> subdirectory of the installation tree.
...
@@ -40,9 +42,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -40,9 +42,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
This section describes how the <productname>PostgreSQL</productname>
This section describes how the <productname>PostgreSQL</productname>
backend interprets <acronym>BKI</acronym> files. This description
backend interprets <acronym>BKI</acronym> files. This description
will be easier to understand if the <filename>postgres.bki</filename>
will be easier to understand if the <filename>postgres.bki</filename>
file is at hand as an example. You should also study the source
file is at hand as an example.
code of <application>initdb</application> to get an idea of how the
backend is invoked.
</para>
</para>
<para>
<para>
...
@@ -67,6 +67,61 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -67,6 +67,61 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
<title><acronym>BKI</acronym> Commands</title>
<title><acronym>BKI</acronym> Commands</title>
<variablelist>
<variablelist>
<varlistentry>
<term>
create
<optional>bootstrap</optional>
<optional>shared_relation</optional>
<optional>without_oids</optional>
<replaceable class="parameter">tablename</replaceable>
(<replaceable class="parameter">name1</replaceable> =
<replaceable class="parameter">type1</replaceable> <optional>,
<replaceable class="parameter">name2</replaceable> = <replaceable
class="parameter">type2</replaceable>, ...</optional>)
</term>
<listitem>
<para>
Create a table named <replaceable
class="parameter">tablename</replaceable> with the columns given
in parentheses.
</para>
<para>
The following column types are supported directly by
<filename>bootstrap.c</>: <type>bool</type>,
<type>bytea</type>, <type>char</type> (1 byte),
<type>name</type>, <type>int2</type>,
<type>int4</type>, <type>regproc</type>, <type>regclass</type>,
<type>regtype</type>, <type>text</type>,
<type>oid</type>, <type>tid</type>, <type>xid</type>,
<type>cid</type>, <type>int2vector</type>, <type>oidvector</type>,
<type>_int4</type> (array), <type>_text</type> (array),
<type>_aclitem</type> (array). Although it is possible to create
tables containing columns of other types, this cannot be done until
after <structname>pg_type</> has been created and filled with
appropriate entries.
</para>
<para>
When <literal>bootstrap</> is specified,
the table will only be created on disk; nothing is entered into
<structname>pg_class</structname>,
<structname>pg_attribute</structname>, etc, for it. Thus the
table will not be accessible by ordinary SQL operations until
such entries are made the hard way (with <literal>insert</>
commands). This option is used for creating
<structname>pg_class</structname> etc themselves.
</para>
<para>
The table is created as shared if <literal>shared_relation</> is
specified.
It will have OIDs unless <literal>without_oids</> is specified.
</para>
</listitem>
</varlistentry>
<varlistentry>
<varlistentry>
<term>
<term>
open <replaceable class="parameter">tablename</replaceable>
open <replaceable class="parameter">tablename</replaceable>
...
@@ -98,51 +153,6 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -98,51 +153,6 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
</listitem>
</listitem>
</varlistentry>
</varlistentry>
<varlistentry>
<term>
create <replaceable class="parameter">tablename</replaceable>
(<replaceable class="parameter">name1</replaceable> =
<replaceable class="parameter">type1</replaceable> <optional>,
<replaceable class="parameter">name2</replaceable> = <replaceable
class="parameter">type2</replaceable>, ...</optional>)
</term>
<listitem>
<para>
Create a table named <replaceable
class="parameter">tablename</replaceable> with the columns given
in parentheses.
</para>
<para>
The <replaceable>type</replaceable> is not necessarily the data
type that the column will have in the SQL environment; that is
determined by the <structname>pg_attribute</structname> system
catalog. The type here is essentially only used to allocate
storage. The following types are allowed: <type>bool</type>,
<type>bytea</type>, <type>char</type> (1 byte),
<type>name</type>, <type>int2</type>, <type>int2vector</type>,
<type>int4</type>, <type>regproc</type>, <type>regclass</type>,
<type>regtype</type>, <type>text</type>,
<type>oid</type>, <type>tid</type>, <type>xid</type>,
<type>cid</type>, <type>oidvector</type>, <type>smgr</type>,
<type>_int4</type> (array), <type>_aclitem</type> (array).
Array types can also be indicated by writing
<literal>[]</literal> after the name of the element type.
</para>
<note>
<para>
The table will only be created on disk, it will not
automatically be registered in the system catalogs and will
therefore not be accessible unless appropriate rows are
inserted in <structname>pg_class</structname>,
<structname>pg_attribute</structname>, etc.
</para>
</note>
</listitem>
</varlistentry>
<varlistentry>
<varlistentry>
<term>
<term>
insert <optional>OID = <replaceable class="parameter">oid_value</replaceable></optional> (<replaceable class="parameter">value1</replaceable> <replaceable class="parameter">value2</replaceable> ...)
insert <optional>OID = <replaceable class="parameter">oid_value</replaceable></optional> (<replaceable class="parameter">value1</replaceable> <replaceable class="parameter">value2</replaceable> ...)
...
@@ -190,6 +200,8 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -190,6 +200,8 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
classes to use are <replaceable
classes to use are <replaceable
class="parameter">opclass1</replaceable>, <replaceable
class="parameter">opclass1</replaceable>, <replaceable
class="parameter">opclass2</replaceable> etc., respectively.
class="parameter">opclass2</replaceable> etc., respectively.
The index file is created and appropriate catalog entries are
made for it, but the index contents are not initialized by this command.
</para>
</para>
</listitem>
</listitem>
</varlistentry>
</varlistentry>
...
@@ -199,7 +211,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -199,7 +211,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
<listitem>
<listitem>
<para>
<para>
Build
the indices that have previously been declared.
Fill in
the indices that have previously been declared.
</para>
</para>
</listitem>
</listitem>
</varlistentry>
</varlistentry>
...
@@ -212,7 +224,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
...
@@ -212,7 +224,7 @@ $PostgreSQL: pgsql/doc/src/sgml/bki.sgml,v 1.12 2003/11/29 19:51:36 pgsql Exp $
<para>
<para>
The following sequence of commands will create the
The following sequence of commands will create the
<literal>test_table</literal> table with the
two columns
table <literal>test_table</literal> with
two columns
<literal>cola</literal> and <literal>colb</literal> of type
<literal>cola</literal> and <literal>colb</literal> of type
<type>int4</type> and <type>text</type>, respectively, and insert
<type>int4</type> and <type>text</type>, respectively, and insert
two rows into the table.
two rows into the table.
...
...
doc/src/sgml/catalogs.sgml
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81c41e3d
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doc/src/sgml/geqo.sgml
View file @
81c41e3d
<!--
<!--
$PostgreSQL: pgsql/doc/src/sgml/geqo.sgml,v 1.2
6 2003/11/29 19:51:37 pgsq
l Exp $
$PostgreSQL: pgsql/doc/src/sgml/geqo.sgml,v 1.2
7 2005/01/05 23:42:03 tg
l Exp $
Genetic Optimizer
Genetic Optimizer
-->
-->
...
@@ -65,8 +65,7 @@ Genetic Optimizer
...
@@ -65,8 +65,7 @@ Genetic Optimizer
enormous amount of time and memory space when the number of joins
enormous amount of time and memory space when the number of joins
in the query grows large. This makes the ordinary
in the query grows large. This makes the ordinary
<productname>PostgreSQL</productname> query optimizer
<productname>PostgreSQL</productname> query optimizer
inappropriate for database application domains that involve the
inappropriate for queries that join a large number of tables.
need for extensive queries, such as artificial intelligence.
</para>
</para>
<para>
<para>
...
@@ -97,7 +96,7 @@ Genetic Optimizer
...
@@ -97,7 +96,7 @@ Genetic Optimizer
<para>
<para>
The genetic algorithm (<acronym>GA</acronym>) is a heuristic optimization method which
The genetic algorithm (<acronym>GA</acronym>) is a heuristic optimization method which
operates through
operates through
determined
, randomized search. The set of possible solutions for the
nondeterministic
, randomized search. The set of possible solutions for the
optimization problem is considered as a
optimization problem is considered as a
<firstterm>population</firstterm> of <firstterm>individuals</firstterm>.
<firstterm>population</firstterm> of <firstterm>individuals</firstterm>.
The degree of adaptation of an individual to its environment is specified
The degree of adaptation of an individual to its environment is specified
...
@@ -176,11 +175,12 @@ Genetic Optimizer
...
@@ -176,11 +175,12 @@ Genetic Optimizer
<title>Genetic Query Optimization (<acronym>GEQO</acronym>) in PostgreSQL</title>
<title>Genetic Query Optimization (<acronym>GEQO</acronym>) in PostgreSQL</title>
<para>
<para>
The <acronym>GEQO</acronym> module is intended for the solution of the query
The <acronym>GEQO</acronym> module approaches the query
optimization problem similar to a traveling salesman problem (<acronym>TSP</acronym>).
optimization problem as though it were the well-known traveling salesman
problem (<acronym>TSP</acronym>).
Possible query plans are encoded as integer strings. Each string
Possible query plans are encoded as integer strings. Each string
represents the join order from one relation of the query to the next.
represents the join order from one relation of the query to the next.
E. g., the query
tree
For example, the join
tree
<literallayout class="monospaced">
<literallayout class="monospaced">
/\
/\
/\ 2
/\ 2
...
@@ -245,29 +245,39 @@ Genetic Optimizer
...
@@ -245,29 +245,39 @@ Genetic Optimizer
<para>
<para>
Work is still needed to improve the genetic algorithm parameter
Work is still needed to improve the genetic algorithm parameter
settings.
settings.
In file <filename>backend/optimizer/geqo/geqo_params.c</filename>, routines
In file <filename>src/backend/optimizer/geqo/geqo_main.c</filename>,
routines
<function>gimme_pool_size</function> and <function>gimme_number_generations</function>,
<function>gimme_pool_size</function> and <function>gimme_number_generations</function>,
we have to find a compromise for the parameter settings
we have to find a compromise for the parameter settings
to satisfy two competing demands:
to satisfy two competing demands:
<itemizedlist spacing="compact">
<itemizedlist spacing="compact">
<listitem>
<listitem>
<para>
<para>
Optimality of the query plan
Optimality of the query plan
</para>
</para>
</listitem>
</listitem>
<listitem>
<listitem>
<para>
<para>
Computing time
Computing time
</para>
</para>
</listitem>
</listitem>
</itemizedlist>
</itemizedlist>
</para>
</para>
<para>
At a more basic level, it is not clear that solving query optimization
with a GA algorithm designed for TSP is appropriate. In the TSP case,
the cost associated with any substring (partial tour) is independent
of the rest of the tour, but this is certainly not true for query
optimization. Thus it is questionable whether edge recombination
crossover is the most effective mutation procedure.
</para>
</sect2>
</sect2>
</sect1>
</sect1>
<sect1 id="geqo-biblio">
<sect1 id="geqo-biblio">
<title>Further Reading
s
</title>
<title>Further Reading</title>
<para>
<para>
The following resources contain additional information about
The following resources contain additional information about
...
...
doc/src/sgml/plhandler.sgml
View file @
81c41e3d
<!--
<!--
$PostgreSQL: pgsql/doc/src/sgml/plhandler.sgml,v 1.
3 2004/12/30 21:45:36
tgl Exp $
$PostgreSQL: pgsql/doc/src/sgml/plhandler.sgml,v 1.
4 2005/01/05 23:42:03
tgl Exp $
-->
-->
<chapter id="plhandler">
<chapter id="plhandler">
...
@@ -56,11 +56,11 @@ $PostgreSQL: pgsql/doc/src/sgml/plhandler.sgml,v 1.3 2004/12/30 21:45:36 tgl Exp
...
@@ -56,11 +56,11 @@ $PostgreSQL: pgsql/doc/src/sgml/plhandler.sgml,v 1.3 2004/12/30 21:45:36 tgl Exp
system table
system table
<classname>pg_proc</classname> and to analyze the argument
<classname>pg_proc</classname> and to analyze the argument
and return types of the called function. The <literal>AS</> clause from the
and return types of the called function. The <literal>AS</> clause from the
<command>CREATE FUNCTION</command>
of
the function will be found
<command>CREATE FUNCTION</command>
command for
the function will be found
in the <literal>prosrc</literal> column of the
in the <literal>prosrc</literal> column of the
<classname>pg_proc</classname> row. This
may be the
source
<classname>pg_proc</classname> row. This
is commonly
source
text in the procedural language
itself (like for PL/Tcl), a
text in the procedural language
, but in theory it could be something else,
path name to a file, or anything else that tells the call handler
such as a
path name to a file, or anything else that tells the call handler
what to do in detail.
what to do in detail.
</para>
</para>
...
...
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