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You can find mainly Czech texts about PostgreSQL on this site. But there are lot of translated articles to English, French or German languages.

Please, look to our [[PostgreSQL SQL Tricks]] page or list of translated [[:category:Articles|articles]].

Author of texts stored on this site is [[Pavel Stehule en|Pavel Stěhule]]. Translator is specified on top in every article.

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'''PostgreSQL''' is a powerful, open source relational database system. It has
more than 15 years of active development and a proven architecture that has
earned it a strong reputation for reliability, data integrity, and
correctness. It runs on all major operating systems, including Linux, UNIX (AIX,
BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is
fully ACID compliant, has full support for foreign keys, joins, views, triggers,
and stored procedures (in multiple languages). It includes most SQL92 and SQL99
data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL,
and TIMESTAMP. It also supports storage of binary large objects, including pictures,
sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl,
Python, Ruby, Tcl, ODBC, among others, and [http://www.postgresql.org/docs/manuals exceptional documentation].

An enterprise class database, PostgreSQL boasts sophisticated features
such as Multi-Version Concurrency Control (MVCC), point in time recovery,
tablespaces, asynchronous replication, nested transactions (savepoints),
online/hot backups, a sophisticated query planner/optimizer, and write ahead logging
for fault tolerance. It supports international character sets, multibyte
character encodings, Unicode, and it is locale-aware for sorting,
case-sensitivity, and formatting. It is highly scalable both in the sheer quantity
of data it can manage and in the number of concurrent users it can
accommodate. There are active PostgreSQL systems in production environments that
manage in excess of 4 terabytes of data. Some general PostgreSQL limits are
included in the table below.

{| {{prettytable}}
|-
| '''Limit''' || '''Value'''
|-
| Maximum Database Size || Unlimited
|-
| Maximum Table Size || 32 TB
|-
| Maximum Row Size || 1.6 TB
|-
| Maximum Field Size || 1 GB
|-
| Maximum Rows per Table || Unlimited
|-
| Maximum Columns per Table || 250 - 1600 depending on column types
|-
| Maximum Indexes per Table || Unlimited
|-
|}

PostgreSQL has won [http://www.postgresql.org/about/quotesarchive praise from its users] and [http://www.postgresql.org/about/awards industry recognition], including the Linux New Media Award for Best Database System and five time winner of the The Linux Journal Editors' Choice Award for best DBMS.

==Featureful and Standards Compliant==
PostgreSQL prides itself in standards compliance. Its SQL implementation
strongly conforms to the ANSI-SQL 92/99 standards. It has full support for
subqueries (including subselects in the FROM clause), read-committed and
serializable transaction isolation levels. And while PostgreSQL has a fully
relational system catalog which itself supports multiple schemas per database,
its catalog is also accessible through the Information Schema as defined in the
SQL standard.

Data integrity features include (compound) primary keys, foreign keys with
restricting and cascading updates/deletes, check constraints, unique
constraints, and not null constraints.

It also has a host of extensions and advanced features. Among the
conveniences are auto-increment columns through sequences, and
<tt class="literal">LIMIT/OFFSET</tt> allowing the return of partial result
sets. PostgreSQL supports compound, unique, partial, and functional indexes
which can use any of its B-tree, R-tree, hash, or GiST storage methods.

[http://www.sai.msu.su/~megera/postgres/gist/doc/intro.shtml GiST] (''Generalized Search Tree'') indexing is an advanced system
which brings together a wide array of different sorting and searching algorithms
including B-tree, B+-tree, R-tree, partial sum trees, ranked B+-trees and many
others. It also provides an interface which allows both the creation of custom
data types as well as extensible query methods with which to search them. Thus,
GiST offers the flexibility to specify ''what'' you store,
''how'' you store it, and ''the ability to define new
ways'' to search through it --- ways that far exceed those offered by
standard B-tree, R-tree and other generalized search algorithms.

GiST serves as a foundation for many public projects that use PostgreSQL
such as [http://openfts.sourceforge.net/ OpenFTS] and [http://postgis.refractions.net/ PostGIS]. OpenFTS (Open Source Full
Text Search engine) provides online indexing of data and relevance ranking for
database searching. PostGIS is a project which adds support for geographic
objects in PostgreSQL, allowing it to be used as a spatial database for
geographic information systems (GIS), much like ESRI's SDE or Oracle's Spatial
extension.

Other advanced features include table inheritance, a rules systems, and
database events. Table inheritance puts an object oriented slant on table
creation, allowing database designers to 'derive' new tables
from other tables, treating them as base classes. Even better, PostgreSQL
supports both single and multiple inheritance in this manner.

The rules system, also called the ''query rewrite
system'', allows the database designer to create rules which identify
specific operations for a given table or view, and dynamically transform them
into alternate operations when they are processed.

The events system is an interprocess communication system in which
messages and events can be transmitted between clients using the
<tt class="literal">LISTEN</tt> and <tt class="literal">NOTIFY</tt> commands, allowing both
simple peer to peer communication and advanced coordination on database
events. Since notifications can be issued from triggers and stored procedures,
PostgreSQL clients can monitor database events such as table updates, inserts,
or deletes as they happen.

==Highly Customizable==
PostgreSQL runs stored procedures in more than a dozen programming languages, including Java, Perl, Python, Ruby, Tcl, C/C++,
and its own PL/pgSQL, which is similar to Oracle's PL/SQL. Included with its
standard function library are hundreds of built-in functions that range from
basic math and string operations to cryptography and Oracle
compatibility. Triggers and stored procedures can be written in C and loaded
into the database as a library, allowing great flexibility in extending its
capabilities. Similarly, PostgreSQL includes a framework that allows developers
to define and create their own custom data types along with supporting functions
and operators that define their behavior. As a result, a host of advanced data
types have been created that range from geometric and spatial primitives to
network addresses to even ISBN/ISSN (International Standard Book
Number/International Standard Serial Number) data types, all of which can be
optionally added to the system.

Just as there are many procedure languages supported by PostgreSQL, there
are also many library interfaces as well, allowing various languages both
compiled and interpreted to interface with PostgreSQL. There are interfaces for
Java (JDBC), ODBC, Perl, Python, Ruby, C, C++, PHP, Lisp, Scheme, and Qt just to
name a few.

Best of all, PostgreSQL's source code is available under the most liberal
open source license: the BSD license. This license gives you the freedom to use,
modify and distribute PostgreSQL in any form you like, open or closed
source. Any modifications, enhancements, or changes you make are yours to do
with as you please. As such, PostgreSQL is not only a powerful database system
capable of running the enterprise, it is a development platform upon which to
develop in-house, web, or commercial software products that require a capable
RDBMS.

PostgreSQL en - Historie editací

imported>WikiSysop v 13. 4. 2008, 18:49