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Postgres FD Implementation
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Abuhujair Javed
Postgres FD Implementation
Commits
f0c66e53
Commit
f0c66e53
authored
Feb 15, 2000
by
Thomas G. Lockhart
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Fix extraneous ending tag on libpq.sgml.
Renormalize query.sgml and fix indenting.
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doc/src/sgml/libpq.sgml
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doc/src/sgml/query.sgml
doc/src/sgml/query.sgml
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doc/src/sgml/libpq.sgml
View file @
f0c66e53
...
...
@@ -1068,7 +1068,6 @@ function is no longer actively supported.
</para>
</listitem>
</listitem>
<listitem>
<para>
<function>PQclear</function>
...
...
doc/src/sgml/query.sgml
View file @
f0c66e53
<
Chapter ID
="query">
<
TITLE>The Query Language</TITLE
>
<
chapter id
="query">
<
title>The Query Language</title
>
<
P
ara>
The <
ProductName>Postgres</ProductN
ame> query language is a variant of
the <
Acronym>SQL3</A
cronym> draft next-generation standard. It
<
p
ara>
The <
productname>Postgres</productn
ame> query language is a variant of
the <
acronym>SQL3</a
cronym> draft next-generation standard. It
has many extensions such as an extensible type system,
inheritance, functions and production rules. These are
features carried over from the original <
ProductName>Postgres</ProductN
ame> query
language, <
ProductName>PostQuel</ProductN
ame>. This section provides an overview
of how to use <
ProductName>Postgres</ProductN
ame>
<
Acronym>SQL</A
cronym> to perform simple operations.
features carried over from the original <
productname>Postgres</productn
ame> query
language, <
productname>PostQuel</productn
ame>. This section provides an overview
of how to use <
productname>Postgres</productn
ame>
<
acronym>SQL</a
cronym> to perform simple operations.
This manual is only intended to give you an idea of our
flavor of <
Acronym>SQL</A
cronym> and is in no way a complete tutorial on
<
Acronym>SQL</A
cronym>. Numerous books have been written on
<
Acronym>SQL</A
cronym>, including
flavor of <
acronym>SQL</a
cronym> and is in no way a complete tutorial on
<
acronym>SQL</a
cronym>. Numerous books have been written on
<
acronym>SQL</a
cronym>, including
<!--
<XRef LinkEnd="MELT93"> and <XRef LinkEnd="DATE97">.
-->
[MELT93] and [DATE97].
You should be aware that some language features
are extensions to the <
Acronym>ANSI</A
cronym> standard.
</
P
ara>
are extensions to the <
acronym>ANSI</a
cronym> standard.
</
p
ara>
<
S
ect1>
<
Title>Interactive Monitor</T
itle>
<
s
ect1>
<
title>Interactive Monitor</t
itle>
<
P
ara>
<
p
ara>
In the examples that follow, we assume that you have
created the mydb database as described in the previous
subsection and have started <
Application>psql</A
pplication>.
subsection and have started <
application>psql</a
pplication>.
Examples in this manual can also be found in
<
FileName>/usr/local/pgsql/src/tutorial/</FileN
ame>. Refer to the
<
FileName>README</FileN
ame> file in that directory for how to use them. To
<
filename>/usr/local/pgsql/src/tutorial/</filen
ame>. Refer to the
<
filename>README</filen
ame> file in that directory for how to use them. To
start the tutorial, do the following:
<
ProgramL
isting>
<
programl
isting>
% cd /usr/local/pgsql/src/tutorial
% psql -s mydb
Welcome to the POSTGRESQL interactive sql monitor:
...
...
@@ -46,55 +46,56 @@ Welcome to the POSTGRESQL interactive sql monitor:
You are currently connected to the database: postgres
mydb=> \i basics.sql
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
<
P
ara>
The <
Literal>\i</L
iteral> command read in queries from the specified
files. The <
Literal>-s</L
iteral> option puts you in single step mode which
<
p
ara>
The <
literal>\i</l
iteral> command read in queries from the specified
files. The <
literal>-s</l
iteral> option puts you in single step mode which
pauses before sending a query to the backend. Queries
in this section are in the file <
FileName>basics.sql</FileN
ame>.
</
P
ara>
in this section are in the file <
filename>basics.sql</filen
ame>.
</
p
ara>
<
P
ara>
<
Application>psql</A
pplication>
has a variety of <
Literal>\d</L
iteral> commands for showing system information.
<
p
ara>
<
application>psql</a
pplication>
has a variety of <
literal>\d</l
iteral> commands for showing system information.
Consult these commands for more details;
for a listing, type <
Literal>\?</Literal> at the <Application>psql</A
pplication> prompt.
</
P
ara>
for a listing, type <
literal>\?</literal> at the <application>psql</a
pplication> prompt.
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Concepts</T
itle>
<
s
ect1>
<
title>Concepts</t
itle>
<
P
ara>
The fundamental notion in <
ProductName>Postgres</ProductN
ame> is that of a class,
<
p
ara>
The fundamental notion in <
productname>Postgres</productn
ame> is that of a class,
which is a named collection of object instances. Each
instance has the same collection of named attributes,
and each attribute is of a specific type. Furthermore,
each instance has a permanent <
FirstTerm>object identifier</FirstT
erm>
(<
Acronym>OID</A
cronym>)
each instance has a permanent <
firstterm>object identifier</firstt
erm>
(<
acronym>OID</a
cronym>)
that is unique throughout the installation. Because
<Acronym>SQL</Acronym> syntax refers to tables, we will use the terms
<FirstTerm>table</FirstTerm> and <FirstTerm>class</FirstTerm> interchangeably.
Likewise, an <Acronym>SQL</Acronym> <FirstTerm>row</FirstTerm> is an
<FirstTerm>instance</FirstTerm> and <Acronym>SQL</Acronym> <FirstTerm>columns</FirstTerm>
are <FirstTerm>attributes</FirstTerm>.
<acronym>SQL</acronym> syntax refers to tables, we will use the terms
<firstterm>table</firstterm> and <firstterm>class</firstterm> interchangeably.
Likewise, an <acronym>SQL</acronym> <firstterm>row</firstterm> is an
<firstterm>instance</firstterm> and <acronym>SQL</acronym>
<firstterm>columns</firstterm>
are <firstterm>attributes</firstterm>.
As previously discussed, classes are grouped into
databases, and a collection of databases managed by a
single <
Application>postmaster</A
pplication> process constitutes an installation
single <
application>postmaster</a
pplication> process constitutes an installation
or site.
</
P
ara>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Creating a New Class</T
itle>
<
s
ect1>
<
title>Creating a New Class</t
itle>
<
P
ara>
<
p
ara>
You can create a new class by specifying the class
name, along with all attribute names and their types:
<
ProgramL
isting>
<
programl
isting>
CREATE TABLE weather (
city varchar(80),
temp_lo int, -- low temperature
...
...
@@ -102,79 +103,81 @@ CREATE TABLE weather (
prcp real, -- precipitation
date date
);
</
ProgramL
isting>
</
programl
isting>
</para>
<
P
ara>
<
p
ara>
Note that both keywords and identifiers are case-insensitive; identifiers can become
case-sensitive by surrounding them with double-quotes as allowed
by <Acronym>SQL92</Acronym>.
<ProductName>Postgres</ProductName> <Acronym>SQL</Acronym> supports the usual
<Acronym>SQL</Acronym> types <Type>int</Type>,
<Type>float</Type>, <Type>real</Type>, <Type>smallint</Type>, <Type>char(N)</Type>,
<Type>varchar(N)</Type>, <Type>date</Type>, <Type>time</Type>,
and <Type>timestamp</Type>, as well as other types of general utility and
by <acronym>SQL92</acronym>.
<productname>Postgres</productname> <acronym>SQL</acronym> supports the usual
<acronym>SQL</acronym> types <type>int</type>,
<type>float</type>, <type>real</type>, <type>smallint</type>,
<type>char(N)</type>,
<type>varchar(N)</type>, <type>date</type>, <type>time</type>,
and <type>timestamp</type>, as well as other types of general utility and
a rich set of geometric types. As we will
see later, <
ProductName>Postgres</ProductN
ame> can be customized with an
see later, <
productname>Postgres</productn
ame> can be customized with an
arbitrary number of
user-defined data types. Consequently, type names are
not syntactical keywords, except where required to support special
cases in the <
Acronym>SQL92</A
cronym> standard.
So far, the <
ProductName>Postgres</ProductName> create
command
cases in the <
acronym>SQL92</a
cronym> standard.
So far, the <
productname>Postgres</productname> <command>CREATE</command>
command
looks exactly like
the command used to create a table in a traditional
relational system. However, we will presently see that
classes have properties that are extensions of the
relational model.
</
P
ara>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Populating a Class with Instances</T
itle>
<
s
ect1>
<
title>Populating a Class with Instances</t
itle>
<
P
ara>
The <
Command>insert</C
ommand> statement is used to populate a class with
<
p
ara>
The <
command>insert</c
ommand> statement is used to populate a class with
instances:
<
ProgramL
isting>
<
programl
isting>
INSERT INTO weather
VALUES ('San Francisco', 46, 50, 0.25, '11/27/1994');
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
<
P
ara>
You can also use the <
Command>copy</C
ommand> command to perform load large
amounts of data from flat (<
Acronym>ASCII</A
cronym>) files.
<
p
ara>
You can also use the <
command>copy</c
ommand> command to perform load large
amounts of data from flat (<
acronym>ASCII</a
cronym>) files.
This is usually faster because the data is read (or written) as a single atomic
transaction directly to or from the target table. An example would be:
<
ProgramL
isting>
COPY
INTO
weather FROM '/home/user/weather.txt'
<
programl
isting>
COPY weather FROM '/home/user/weather.txt'
USING DELIMITERS '|';
</
ProgramL
isting>
</
programl
isting>
where the path name for the source file must be available to the backend server
machine, not the client, since the backend server reads the file directly.
</para>
</sect1>
<
S
ect1>
<
Title>Querying a Class</T
itle>
<
s
ect1>
<
title>Querying a Class</t
itle>
<
P
ara>
<
p
ara>
The weather class can be queried with normal relational
selection and projection queries. A <Acronym>SQL</Acronym> <Command>select</Command>
selection and projection queries. A <acronym>SQL</acronym>
<command>select</command>
statement is used to do this. The statement is divided into
a target list (the part that lists the attributes to be
returned) and a qualification (the part that specifies
any restrictions). For example, to retrieve all the
rows of weather, type:
<
ProgramL
isting>
SELECT * FROM
WEATHER
;
</
ProgramL
isting>
<
programl
isting>
SELECT * FROM
weather
;
</
programl
isting>
and the output should be:
<
ProgramL
isting>
<
programl
isting>
+--------------+---------+---------+------+------------+
|city | temp_lo | temp_hi | prcp | date |
+--------------+---------+---------+------+------------+
...
...
@@ -184,19 +187,19 @@ SELECT * FROM WEATHER;
+--------------+---------+---------+------+------------+
|Hayward | 37 | 54 | | 11-29-1994 |
+--------------+---------+---------+------+------------+
</
ProgramL
isting>
</
programl
isting>
You may specify any arbitrary expressions in the target list. For example, you can do:
<
ProgramL
isting>
<
programl
isting>
SELECT city, (temp_hi+temp_lo)/2 AS temp_avg, date FROM weather;
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
<
P
ara>
<
p
ara>
Arbitrary Boolean operators
(<
Command>and</Command>, <Command>or</Command> and <Command>not</C
ommand>) are
(<
command>and</command>, <command>or</command> and <command>not</c
ommand>) are
allowed in the qualification of any query. For example,
<
ProgramL
isting>
<
programl
isting>
SELECT * FROM weather
WHERE city = 'San Francisco'
AND prcp > 0.0;
...
...
@@ -208,45 +211,45 @@ results in:
+--------------+---------+---------+------+------------+
|San Francisco | 46 | 50 | 0.25 | 11-27-1994 |
+--------------+---------+---------+------+------------+
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
<
P
ara>
<
p
ara>
As a final note, you can specify that the results of a
select can be returned in a <
FirstTerm>sorted order</FirstT
erm>
or with <
FirstTerm>duplicate instances</FirstT
erm> removed.
select can be returned in a <
firstterm>sorted order</firstt
erm>
or with <
firstterm>duplicate instances</firstt
erm> removed.
<
ProgramL
isting>
<
programl
isting>
SELECT DISTINCT city
FROM weather
ORDER BY city;
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Redirecting SELECT Queries</T
itle>
<
s
ect1>
<
title>Redirecting SELECT Queries</t
itle>
<
P
ara>
<
p
ara>
Any select query can be redirected to a new class
<
ProgramL
isting>
<
programl
isting>
SELECT * INTO TABLE temp FROM weather;
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
<
P
ara>
This forms an implicit <
Command>create</C
ommand> command, creating a new
<
p
ara>
This forms an implicit <
command>create</c
ommand> command, creating a new
class temp with the attribute names and types specified
in the target list of the <
Command>select into</C
ommand> command. We can
in the target list of the <
command>select into</c
ommand> command. We can
then, of course, perform any operations on the resulting
class that we can perform on other classes.
</
P
ara>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Joins Between Classes</T
itle>
<
s
ect1>
<
title>Joins Between Classes</t
itle>
<
P
ara>
<
p
ara>
Thus far, our queries have only accessed one class at a
time. Queries can access multiple classes at once, or
access the same class in such a way that multiple
...
...
@@ -259,16 +262,16 @@ SELECT * INTO TABLE temp FROM weather;
effect, we need to compare the temp_lo and temp_hi
attributes of each EMP instance to the temp_lo and
temp_hi attributes of all other EMP instances.
<
N
ote>
<
P
ara>
<
n
ote>
<
p
ara>
This is only a conceptual model. The actual join may
be performed in a more efficient manner, but this is invisible to the user.
</
P
ara>
</
N
ote>
</
p
ara>
</
n
ote>
We can do this with the following query:
<
ProgramL
isting>
<
programl
isting>
SELECT W1.city, W1.temp_lo AS low, W1.temp_hi AS high,
W2.city, W2.temp_lo AS low, W2.temp_hi AS high
FROM weather W1, weather W2
...
...
@@ -282,172 +285,172 @@ SELECT W1.city, W1.temp_lo AS low, W1.temp_hi AS high,
+--------------+-----+------+---------------+-----+------+
|San Francisco | 37 | 54 | San Francisco | 46 | 50 |
+--------------+-----+------+---------------+-----+------+
</
ProgramL
isting>
</
programl
isting>
<
N
ote>
<
P
ara>
<
n
ote>
<
p
ara>
The semantics of such a join are
that the qualification
is a truth expression defined for the Cartesian product of
the classes indicated in the query. For those instances in
the Cartesian product for which the qualification is true,
<
ProductName>Postgres</ProductN
ame> computes and returns the
<
productname>Postgres</productn
ame> computes and returns the
values specified in the target list.
<
ProductName>Postgres</ProductName> <Acronym>SQL</A
cronym>
<
productname>Postgres</productname> <acronym>SQL</a
cronym>
does not assign any meaning to
duplicate values in such expressions.
This means that <
ProductName>Postgres</ProductN
ame>
This means that <
productname>Postgres</productn
ame>
sometimes recomputes the same target list several times;
this frequently happens when Boolean expressions are connected
with an "or". To remove such duplicates, you must use
the <
Command>select distinct</C
ommand> statement.
</
P
ara>
</
N
ote>
the <
command>select distinct</c
ommand> statement.
</
p
ara>
</
n
ote>
</para>
<
P
ara>
<
p
ara>
In this case, both W1 and W2 are surrogates for an
instance of the class weather, and both range over all
instances of the class. (In the terminology of most
database systems, W1 and W2 are known as <
FirstTerm>range variables</FirstT
erm>.)
database systems, W1 and W2 are known as <
firstterm>range variables</firstt
erm>.)
A query can contain an arbitrary number of
class names and surrogates.
</
P
ara>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Updates</T
itle>
<
s
ect1>
<
title>Updates</t
itle>
<
P
ara>
<
p
ara>
You can update existing instances using the update command.
Suppose you discover the temperature readings are
all off by 2 degrees as of Nov 28, you may update the
data as follow:
<
ProgramL
isting>
<
programl
isting>
UPDATE weather
SET temp_hi = temp_hi - 2, temp_lo = temp_lo - 2
WHERE date > '11/28/1994';
</
ProgramL
isting>
</
P
ara>
</
programl
isting>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Deletions</T
itle>
<
s
ect1>
<
title>Deletions</t
itle>
<
P
ara>
Deletions are performed using the <
Command>delete</C
ommand> command:
<
ProgramL
isting>
<
p
ara>
Deletions are performed using the <
command>delete</c
ommand> command:
<
programl
isting>
DELETE FROM weather WHERE city = 'Hayward';
</
ProgramL
isting>
</
programl
isting>
All weather recording belongs to Hayward is removed.
One should be wary of queries of the form
<
ProgramL
isting>
<
programl
isting>
DELETE FROM classname;
</
ProgramL
isting>
</
programl
isting>
Without a qualification, <
Command>delete</C
ommand> will simply
Without a qualification, <
command>delete</c
ommand> will simply
remove all instances of the given class, leaving it
empty. The system will not request confirmation before
doing this.
</
P
ara>
</
p
ara>
</sect1>
<
S
ect1>
<
Title>Using Aggregate Functions</T
itle>
<
s
ect1>
<
title>Using Aggregate Functions</t
itle>
<
P
ara>
<
p
ara>
Like most other query languages,
<
ProductName>PostgreSQL</ProductN
ame> supports
<
productname>PostgreSQL</productn
ame> supports
aggregate functions.
An aggregate function computes a single result from multiple input rows.
For example, there are aggregates to compute the
<
Function>count</Function>, <Function>sum</F
unction>,
<
Function>avg</Function> (average), <Function>max</F
unction> (maximum) and
<
Function>min</F
unction> (minimum) over a set of instances.
<
function>count</function>, <function>sum</f
unction>,
<
function>avg</function> (average), <function>max</f
unction> (maximum) and
<
function>min</f
unction> (minimum) over a set of instances.
</para>
<
P
ara>
<
p
ara>
It is important to understand the interaction between aggregates and
SQL's <
Command>where</Command> and <Command>having</C
ommand> clauses.
The fundamental difference between <
Command>where</C
ommand> and
<
Command>having</Command> is this: <Command>where</C
ommand> selects
SQL's <
command>where</command> and <command>having</c
ommand> clauses.
The fundamental difference between <
command>where</c
ommand> and
<
command>having</command> is this: <command>where</c
ommand> selects
input rows before groups and aggregates are computed (thus, it controls
which rows go into the aggregate computation), whereas
<
Command>having</C
ommand> selects group rows after groups and
<
command>having</c
ommand> selects group rows after groups and
aggregates are computed. Thus, the
<
Command>where</C
ommand> clause may not contain aggregate functions;
<
command>where</c
ommand> clause may not contain aggregate functions;
it makes no sense to try to use an aggregate to determine which rows
will be inputs to the aggregates. On the other hand,
<
Command>having</C
ommand> clauses always contain aggregate functions.
(Strictly speaking, you are allowed to write a <
Command>having</C
ommand>
<
command>having</c
ommand> clauses always contain aggregate functions.
(Strictly speaking, you are allowed to write a <
command>having</c
ommand>
clause that doesn't use aggregates, but it's wasteful; the same condition
could be used more efficiently at the <
Command>where</C
ommand> stage.)
could be used more efficiently at the <
command>where</c
ommand> stage.)
</para>
<
P
ara>
<
p
ara>
As an example, we can find the highest low-temperature reading anywhere
with
<
ProgramL
isting>
<
programl
isting>
SELECT max(temp_lo) FROM weather;
</
ProgramL
isting>
</
programl
isting>
If we want to know which city (or cities) that reading occurred in,
we might try
<
ProgramL
isting>
<
programl
isting>
SELECT city FROM weather WHERE temp_lo = max(temp_lo);
</
ProgramL
isting>
</
programl
isting>
but this will not work since the aggregate max() can't be used in
<
Command>where</C
ommand>. However, as is often the case the query can be
<
command>where</c
ommand>. However, as is often the case the query can be
restated to accomplish the intended result; here by using a
<
FirstTerm>subselect</FirstT
erm>:
<
ProgramL
isting>
<
firstterm>subselect</firstt
erm>:
<
programl
isting>
SELECT city FROM weather WHERE temp_lo = (SELECT max(temp_lo) FROM weather);
</
ProgramL
isting>
</
programl
isting>
This is OK because the sub-select is an independent computation that
computes its own aggregate separately from what's happening in the outer
select.
</
P
ara>
</
p
ara>
<
P
ara>
<
p
ara>
Aggregates are also very useful in combination with
<
FirstTerm>group by</FirstT
erm> clauses. For example, we can get the
<
firstterm>group by</firstt
erm> clauses. For example, we can get the
maximum low temperature observed in each city with
<
ProgramL
isting>
<
programl
isting>
SELECT city, max(temp_lo)
FROM weather
GROUP BY city;
</
ProgramL
isting>
</
programl
isting>
which gives us one output row per city. We can filter these grouped
rows using <
Command>having</C
ommand>:
<
ProgramL
isting>
rows using <
command>having</c
ommand>:
<
programl
isting>
SELECT city, max(temp_lo)
FROM weather
GROUP BY city
HAVING min(temp_lo) < 0;
</
ProgramL
isting>
</
programl
isting>
which gives us the same results for only the cities that have some
below-zero readings. Finally, if we only care about cities whose
names begin with 'P', we might do
<
ProgramL
isting>
<
programl
isting>
SELECT city, max(temp_lo)
FROM weather
WHERE city like 'P%'
GROUP BY city
HAVING min(temp_lo) < 0;
</
ProgramL
isting>
</
programl
isting>
Note that we can apply the city-name restriction in
<
Command>where</C
ommand>, since it needs no aggregate. This is
more efficient than adding the restriction to <
Command>having</C
ommand>,
<
command>where</c
ommand>, since it needs no aggregate. This is
more efficient than adding the restriction to <
command>having</c
ommand>,
because we avoid doing the grouping and aggregate calculations
for all rows that fail the <
Command>where</C
ommand> check.
</
P
ara>
for all rows that fail the <
command>where</c
ommand> check.
</
p
ara>
</sect1>
</
C
hapter>
</
c
hapter>
<!-- Keep this comment at the end of the file
Local variables:
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