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mirror of https://github.com/postgres/postgres.git synced 2025-07-30 11:03:19 +03:00

Fix path to initdb in installation instructions.

General cleanup for 7.0.
This commit is contained in:
Thomas G. Lockhart
2000-04-07 13:30:58 +00:00
parent b2096a5512
commit 30e355fc80
11 changed files with 1233 additions and 896 deletions

View File

@ -1,5 +1,5 @@
<!--
$Header: /cvsroot/pgsql/doc/src/sgml/query.sgml,v 1.9 2000/03/31 03:27:41 thomas Exp $
$Header: /cvsroot/pgsql/doc/src/sgml/query.sgml,v 1.10 2000/04/07 13:30:58 thomas Exp $
-->
<chapter id="query">
@ -8,20 +8,21 @@ $Header: /cvsroot/pgsql/doc/src/sgml/query.sgml,v 1.9 2000/03/31 03:27:41 thomas
<para>
The <productname>Postgres</productname> query language is a variant of
the <acronym>SQL3</acronym> draft next-generation standard. It
has many extensions such as an extensible type system,
has many extensions to <acronym>SQL92</acronym> such as an
extensible type system,
inheritance, functions and production rules. These are
features carried over from the original <productname>Postgres</productname> query
language, <productname>PostQuel</productname>. This section provides an overview
features carried over from the original
<productname>Postgres</productname> query
language, <productname>PostQuel</productname>.
This section provides an overview
of how to use <productname>Postgres</productname>
<acronym>SQL</acronym> to perform simple operations.
This manual is only intended to give you an idea of our
flavor of <acronym>SQL</acronym> and is in no way a complete tutorial on
<acronym>SQL</acronym>. Numerous books have been written on
<acronym>SQL</acronym>, including
<!--
<XRef LinkEnd="MELT93"> and <XRef LinkEnd="DATE97">.
-->
[MELT93] and [DATE97].
<acronym>SQL92</acronym>, including
<xref linkend="MELT93" endterm="MELT93-title"> and
<xref linkend="DATE97" endterm="DATE97-title">.
You should be aware that some language features
are extensions to the <acronym>ANSI</acronym> standard.
</para>
@ -111,22 +112,26 @@ CREATE TABLE weather (
</para>
<para>
Note that both keywords and identifiers are case-insensitive; identifiers can become
case-sensitive by surrounding them with double-quotes as allowed
Note that both keywords and identifiers are case-insensitive;
identifiers can preserve case by surrounding them with
double-quotes as allowed
by <acronym>SQL92</acronym>.
<productname>Postgres</productname> <acronym>SQL</acronym> supports the usual
<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</productname> can be customized with an
see later, <productname>Postgres</productname> 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</acronym> standard.
So far, the <productname>Postgres</productname> <command>CREATE</command> command
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
@ -139,7 +144,7 @@ CREATE TABLE weather (
<title>Populating a Class with Instances</title>
<para>
The <command>insert</command> statement is used to populate a class with
The <command>INSERT</command> statement is used to populate a class with
instances:
<programlisting>
@ -149,9 +154,10 @@ INSERT INTO weather
</para>
<para>
You can also use the <command>copy</command> command to perform load large
You can also use the <command>COPY</command> command to perform load large
amounts of data from flat (<acronym>ASCII</acronym>) files.
This is usually faster because the data is read (or written) as a single atomic
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:
<programlisting>
@ -159,7 +165,8 @@ COPY weather FROM '/home/user/weather.txt'
USING DELIMITERS '|';
</programlisting>
where the path name for the source file must be available to the backend server
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>
@ -170,7 +177,7 @@ COPY weather FROM '/home/user/weather.txt'
<para>
The weather class can be queried with normal relational
selection and projection queries. A <acronym>SQL</acronym>
<command>select</command>
<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
@ -192,7 +199,8 @@ SELECT * FROM weather;
|Hayward | 37 | 54 | | 11-29-1994 |
+--------------+---------+---------+------+------------+
</programlisting>
You may specify any arbitrary expressions in the target list. For example, you can do:
You may specify any arbitrary expressions in the target list. For
example, you can do:
<programlisting>
SELECT city, (temp_hi+temp_lo)/2 AS temp_avg, date FROM weather;
</programlisting>
@ -200,7 +208,8 @@ SELECT city, (temp_hi+temp_lo)/2 AS temp_avg, date FROM weather;
<para>
Arbitrary Boolean operators
(<command>and</command>, <command>or</command> and <command>not</command>) are
(<command>AND</command>, <command>OR</command> and
<command>NOT</command>) are
allowed in the qualification of any query. For example,
<programlisting>
@ -235,16 +244,16 @@ SELECT DISTINCT city
<title>Redirecting SELECT Queries</title>
<para>
Any select query can be redirected to a new class
Any <command>SELECT</command> query can be redirected to a new class
<programlisting>
SELECT * INTO TABLE temp FROM weather;
</programlisting>
</para>
<para>
This forms an implicit <command>create</command> command, creating a new
This forms an implicit <command>CREATE</command> command, creating a new
class temp with the attribute names and types specified
in the target list of the <command>select into</command> command. We can
in the target list of the <command>SELECT INTO</command> command. We can
then, of course, perform any operations on the resulting
class that we can perform on other classes.
</para>
@ -269,7 +278,8 @@ SELECT * INTO TABLE temp FROM weather;
<note>
<para>
This is only a conceptual model. The actual join may
be performed in a more efficient manner, but this is invisible to the user.
be performed in a more efficient manner, but this is invisible
to the user.
</para>
</note>
@ -307,16 +317,18 @@ SELECT W1.city, W1.temp_lo AS low, W1.temp_hi AS high,
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</command> statement.
the <command>SELECT DISTINCT</command> statement.
</para>
</note>
</para>
<para>
In this case, both W1 and W2 are surrogates for an
In this case, both <literal>W1</literal> and
<literal>W2</literal> 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</firstterm>.)
database systems, <literal>W1</literal> and <literal>W2</literal>
are known as <firstterm>range variables</firstterm>.)
A query can contain an arbitrary number of
class names and surrogates.
</para>
@ -326,7 +338,8 @@ SELECT W1.city, W1.temp_lo AS low, W1.temp_hi AS high,
<title>Updates</title>
<para>
You can update existing instances using the update command.
You can update existing instances using the
<command>UPDATE</command> command.
Suppose you discover the temperature readings are
all off by 2 degrees as of Nov 28, you may update the
data as follow:
@ -343,7 +356,7 @@ UPDATE weather
<title>Deletions</title>
<para>
Deletions are performed using the <command>delete</command> command:
Deletions are performed using the <command>DELETE</command> command:
<programlisting>
DELETE FROM weather WHERE city = 'Hayward';
</programlisting>
@ -354,7 +367,7 @@ DELETE FROM weather WHERE city = 'Hayward';
DELETE FROM classname;
</programlisting>
Without a qualification, <command>delete</command> will simply
Without a qualification, <command>DELETE</command> will simply
remove all instances of the given class, leaving it
empty. The system will not request confirmation before
doing this.
@ -365,7 +378,7 @@ DELETE FROM classname;
<title>Using Aggregate Functions</title>
<para>
Like most other query languages,
Like most other relational database products,
<productname>PostgreSQL</productname> supports
aggregate functions.
An aggregate function computes a single result from multiple input rows.
@ -377,20 +390,20 @@ DELETE FROM classname;
<para>
It is important to understand the interaction between aggregates and
SQL's <command>where</command> and <command>having</command> clauses.
The fundamental difference between <command>where</command> and
<command>having</command> is this: <command>where</command> selects
SQL's <command>WHERE</command> and <command>HAVING</command> clauses.
The fundamental difference between <command>WHERE</command> and
<command>HAVING</command> is this: <command>WHERE</command> selects
input rows before groups and aggregates are computed (thus, it controls
which rows go into the aggregate computation), whereas
<command>having</command> selects group rows after groups and
<command>HAVING</command> selects group rows after groups and
aggregates are computed. Thus, the
<command>where</command> clause may not contain aggregate functions;
<command>WHERE</command> 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</command> clauses always contain aggregate functions.
(Strictly speaking, you are allowed to write a <command>having</command>
<command>HAVING</command> clauses always contain aggregate functions.
(Strictly speaking, you are allowed to write a <command>HAVING</command>
clause that doesn't use aggregates, but it's wasteful; the same condition
could be used more efficiently at the <command>where</command> stage.)
could be used more efficiently at the <command>WHERE</command> stage.)
</para>
<para>
@ -408,13 +421,17 @@ SELECT max(temp_lo) FROM weather;
SELECT city FROM weather WHERE temp_lo = max(temp_lo);
</programlisting>
but this will not work since the aggregate max() can't be used in
<command>where</command>. However, as is often the case the query can be
but this will not work since the aggregate
<function>max</function> can't be used in
<command>WHERE</command>. However, as is often the case the query can be
restated to accomplish the intended result; here by using a
<firstterm>subselect</firstterm>:
<programlisting>
SELECT city FROM weather WHERE temp_lo = (SELECT max(temp_lo) FROM weather);
SELECT city FROM weather
WHERE temp_lo = (SELECT max(temp_lo) FROM weather);
</programlisting>
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.
@ -422,24 +439,29 @@ SELECT city FROM weather WHERE temp_lo = (SELECT max(temp_lo) FROM weather);
<para>
Aggregates are also very useful in combination with
<firstterm>group by</firstterm> clauses. For example, we can get the
<command>GROUP BY</command> clauses. For example, we can get the
maximum low temperature observed in each city with
<programlisting>
SELECT city, max(temp_lo)
FROM weather
GROUP BY city;
</programlisting>
which gives us one output row per city. We can filter these grouped
rows using <command>having</command>:
rows using <command>HAVING</command>:
<programlisting>
SELECT city, max(temp_lo)
FROM weather
GROUP BY city
HAVING min(temp_lo) < 0;
</programlisting>
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
names begin with "<literal>P</literal>", we might do
<programlisting>
SELECT city, max(temp_lo)
FROM weather
@ -447,11 +469,12 @@ SELECT city, max(temp_lo)
GROUP BY city
HAVING min(temp_lo) < 0;
</programlisting>
Note that we can apply the city-name restriction in
<command>where</command>, since it needs no aggregate. This is
more efficient than adding the restriction to <command>having</command>,
<command>WHERE</command>, since it needs no aggregate. This is
more efficient than adding the restriction to <command>HAVING</command>,
because we avoid doing the grouping and aggregate calculations
for all rows that fail the <command>where</command> check.
for all rows that fail the <command>WHERE</command> check.
</para>
</sect1>
</chapter>