Last updated: Fri Aug 15 20:32:19 EDT 2008
Current maintainer: Bruce Momjian (bruce@momjian.us)
The most recent version of this document can be viewed at http://www.postgresql.org/files/documentation/faqs/FAQ.html.
Platform-specific questions are answered at http://www.postgresql.org/docs/faq/.
PostgreSQL is pronounced Post-Gres-Q-L. (For those curious about how to say "PostgreSQL", an audio file is available.)
PostgreSQL is an object-relational database system that has the features of traditional commercial database systems with enhancements to be found in next-generation DBMS systems. PostgreSQL is free and the complete source code is available.
PostgreSQL development is performed by a team of mostly volunteer developers spread throughout the world and communicating via the Internet. It is a community project and is not controlled by any company. To get involved, see the developer's FAQ at http://www.postgresql.org/docs/faqs.FAQ_DEV.html
Postgres is a widely-used nickname for PostgreSQL. It was the original name of the project at Berkeley and is strongly preferred over other nicknames. If you find 'PostgreSQL' hard to pronounce, call it 'Postgres' instead.
If you are looking for a PostgreSQL gatekeeper, central committee, or controlling company, give up --- there isn't one. We do have a core committee and CVS committers, but these groups are more for administrative purposes than control. The project is directed by the community of developers and users, which anyone can join. All you need to do is subscribe to the mailing lists and participate in the discussions. (See the Developer's FAQ for information on how to get involved in PostgreSQL development.)
PostgreSQL is distributed under the classic BSD license. Basically, it allows users to do anything they want with the code, including reselling binaries without the source code. The only restriction is that you not hold us legally liable for problems with the software. There is also the requirement that this copyright appear in all copies of the software. Here is the actual BSD license we use:
PostgreSQL Data Base Management System
Portions Copyright (c) 1996-2008, PostgreSQL Global Development Group Portions Copyright (c) 1994-1996 Regents of the University of California
Permission to use, copy, modify, and distribute this software and its documentation for any purpose, without fee, and without a written agreement is hereby granted, provided that the above copyright notice and this paragraph and the following two paragraphs appear in all copies.
IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATIONS TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
In general, any modern Unix-compatible platform should be able to run PostgreSQL. The platforms that had received explicit testing at the time of release are listed in the installation instructions.
PostgreSQL also runs natively on Microsoft Windows NT-based operating systems like Win2000 SP4, WinXP, and Win2003. A prepackaged installer is available at http://www.postgresql.org/download/windows. MSDOS-based versions of Windows (Win95, Win98, WinMe) can run PostgreSQL using Cygwin.
There is also a Novell Netware 6 port at http://developer.novell.com/wiki/index.php/Postgresql, and an OS/2 (eComStation) version at http://hobbes.nmsu.edu/cgi-bin/h-search?sh=1&button=Search&key=postgreSQL&stype=all&sort=type&dir=%2F.
Via web browser, use http://www.postgresql.org/ftp/, and via ftp, use ftp://ftp.postgresql.org/pub/.
The latest release of PostgreSQL is version 8.3.3.
We plan to have a major release every year, with minor releases every few months.
The PostgreSQL community provides assistance to many of its users via email. The main web site to subscribe to the email lists is http://www.postgresql.org/community/lists/. The general or bugs lists are a good place to start.
The major IRC channel is #postgresql on Freenode
(irc.freenode.net). To connect you can use the Unix
program irc -c '#postgresql' "$USER" irc.freenode.net
or use any other IRC clients. A Spanish one also exists
on the same network, (#postgresql-es), a French one,
(#postgresqlfr), and a Brazilian one, (#postgresql-br).
There is also a PostgreSQL channel on EFNet.
A list of commercial support companies is available at http://www.postgresql.org/support/professional_support.
Visit the PostgreSQL bug form at http://www.postgresql.org/support/submitbug. Also check out our ftp site ftp://ftp.postgresql.org/pub/ to see if there is a more recent PostgreSQL version.
Bugs submitted using the bug form or posted to any PostgreSQL mailing list typically generates one of the following replies:
PostgreSQL supports an extended subset of SQL:2003. See our TODO list for known bugs, missing features, and future plans.
A feature request usually results in one of the following replies:
PostgreSQL does not use a bug tracking system because we find it more efficient to respond directly to email and keep the TODO list up-to-date. In practice, bugs don't last very long in the software, and bugs that affect a large number of users are fixed rapidly. The only place to find all changes, improvements, and fixes in a PostgreSQL release is to read the CVS log messages. Even the release notes do not list every change made to the software.
PostgreSQL includes extensive documentation, including a large manual, manual pages, and some test examples. See the /doc directory. You can also browse the manuals online at http://www.postgresql.org/docs.
There are two PostgreSQL books available online at http://www.postgresql.org/docs/books/awbook.html and http://www.commandprompt.com/ppbook/. There are a number of PostgreSQL books available for purchase. One of the most popular ones is by Korry Douglas. A list of book reviews can be found at http://www.postgresql.org/docs/books/. There is also a collection of PostgreSQL technical articles at http://wiki.postgresql.org/wiki/Community_Generated_Articles%2C_Guides%2C_and_Documentation.
The command line client program psql has some \d commands to show information about types, operators, functions, aggregates, etc. - use \? to display the available commands.
Our web site contains even more documentation.
First, consider the PostgreSQL-specific books mentioned above. Many of our users also like The Practical SQL Handbook, Bowman, Judith S., et al., Addison-Wesley. Others like The Complete Reference SQL, Groff et al., McGraw-Hill.
There are also many nice tutorials available online:
See the Developer's FAQ.
There are several ways of measuring software: features, performance, reliability, support, and price.
PostgreSQL is designed as a client/server architecture, which requires separate processes for each client and server, and various helper processes. Many embedded architectures can support such requirements. However, if your embedded architecture requires the database server to run inside the application process, you cannot use Postgres and should select a lighter-weight database solution.
USA daylight saving time changes are included in PostgreSQL release 8.0.[4+], and all later major releases, e.g. 8.1. Canada and Western Australia changes are included in 8.0.[10+], 8.1.[6+], and all later major releases. PostgreSQL releases prior to 8.0 use the operating system's timezone database for daylight saving information.
The PostgreSQL Majordomo page allows subscribing or unsubscribing from any of the PostgreSQL email lists. (You might need to have your Majordomo password emailed to you to log in.)
All PostgreSQL email lists are configured so a group reply goes to the email list and the original email author. This is done so users receive the quickest possible email replies. If you would prefer not to receive duplicate email from the list in cases where you already receive an email directly, check eliminatecc from the Majordomo Change Settings page. You can also prevent yourself from receiving copies of emails you post to the lists by unchecking selfcopy.
The PostgreSQL install includes only the C and embedded C interfaces. All other interfaces are independent projects that are downloaded separately; being separate allows them to have their own release schedule and development teams.
Some programming languages like PHP include an interface to PostgreSQL. Interfaces for languages like Perl, TCL, Python, and many others are available at http://pgfoundry.org.
A nice introduction to Database-backed Web pages can be seen at: http://www.webreview.com
For Web integration, PHP (http://www.php.net) is an excellent interface.
For complex cases, many use the Perl and DBD::Pg with CGI.pm or mod_perl.
There are a large number of GUI Tools that are available for PostgreSQL from both commercial and open source developers. A detailed list can be found in the Community Guide to PostgreSQL GUI Tools.
Specify the --prefix option when running configure.
By default, PostgreSQL only allows connections from the local machine using Unix domain sockets or TCP/IP connections. Other machines will not be able to connect unless you modify listen_addresses in the postgresql.conf file, enable host-based authentication by modifying the $PGDATA/pg_hba.conf file, and restart the database server.
There are three major areas for potential performance improvement:
There are many log_* server configuration
variables at http://www.postgresql.org/docs/current/interactive/runtime-config-logging.html
that enable printing of query and process statistics which
can be very useful for debugging and performance measurements.
You have reached the default limit of 100 database sessions. You need to increase the server's limit on how many concurrent backend processes it can start by changing the max_connections value in postgresql.conf and restarting the server.
See http://www.postgresql.org/support/versioning for a general discussion about upgrading, and http://www.postgresql.org/docs/current/static/install-upgrading.html for specific instructions.
Because PC hardware is mostly compatible, people tend to believe that all PC hardware is of equal quality. It is not. ECC RAM, SCSI, and quality motherboards are more reliable and have better performance than less expensive hardware. PostgreSQL will run on almost any hardware, but if reliability and performance are important it is wise to research your hardware options thoroughly. Our email lists can be used to discuss hardware options and tradeoffs.
To retrieve only a few rows, if you know at the number of rows needed at the time of the SELECT use LIMIT . If an index matches the ORDER BY it is possible the entire query does not have to be executed. If you don't know the number of rows at SELECT time, use a cursor and FETCH.
To SELECT a random row, use:
SELECT col
FROM tab
ORDER BY random()
LIMIT 1;
Use the \dt command to see tables in psql. For a complete list of commands inside psql you can use \?. Alternatively you can read the source code for psql in file pgsql/src/bin/psql/describe.c, it contains SQL commands that generate the output for psql's backslash commands. You can also start psql with the -E option so it will print out the queries it uses to execute the commands you give. PostgreSQL also provides an SQL compliant INFORMATION SCHEMA interface you can query to get information about the database.
There are also system tables beginning with pg_ that describe these too.
Use psql -l will list all databases.
Also try the file pgsql/src/tutorial/syscat.source. It illustrates many of the SELECTs needed to get information from the database system tables.
Changing the data type of a column can be done easily in 8.0 and later with ALTER TABLE ALTER COLUMN TYPE.
In earlier releases, do this:
BEGIN;
ALTER TABLE tab ADD COLUMN new_col new_data_type;
UPDATE tab SET new_col = CAST(old_col AS new_data_type);
ALTER TABLE tab DROP COLUMN old_col;
COMMIT;
You might then want to do VACUUM FULL tab to reclaim the disk space used by the expired rows.
These are the limits:
Maximum size for a database? unlimited (32 TB databases exist) Maximum size for a table? 32 TB Maximum size for a row? 400 GB Maximum size for a field? 1 GB Maximum number of rows in a table? unlimited Maximum number of columns in a table? 250-1600 depending on column types Maximum number of indexes on a table? unlimited
Of course, these are not actually unlimited, but limited to available disk space and memory/swap space. Performance may suffer when these values get unusually large.
The maximum table size of 32 TB does not require large file support from the operating system. Large tables are stored as multiple 1 GB files so file system size limits are not important.
The maximum table size, row size, and maximum number of columns can be quadrupled by increasing the default block size to 32k. The maximum table size can also be increased using table partitioning.
One limitation is that indexes can not be created on columns longer than about 2,000 characters. Fortunately, such indexes are rarely needed. Uniqueness is best guaranteed by a function index of an MD5 hash of the long column, and full text indexing allows for searching of words within the column.
A PostgreSQL database may require up to five times the disk space to store data from a text file.
As an example, consider a file of 100,000 lines with an integer and text description on each line. Suppose the text string avergages twenty bytes in length. The flat file would be 2.8 MB. The size of the PostgreSQL database file containing this data can be estimated as 5.2 MB:
24 bytes: each row header (approximate)
24 bytes: one int field and one text field
+ 4 bytes: pointer on page to tuple
----------------------------------------
52 bytes per row
The data page size in PostgreSQL is 8192 bytes (8 KB), so:
8192 bytes per page
------------------- = 158 rows per database page (rounded down)
52 bytes per row
100000 data rows
-------------------- = 633 database pages (rounded up)
158 rows per page
633 database pages * 8192 bytes per page = 5,185,536 bytes (5.2 MB)
Indexes do not require as much overhead, but do contain the data that is being indexed, so they can be large also.
NULLs are stored as bitmaps, so they use very little space.
Indexes are not used by every query. Indexes are used only if the table is larger than a minimum size, and the query selects only a small percentage of the rows in the table. This is because the random disk access caused by an index scan can be slower than a straight read through the table, or sequential scan.
To determine if an index should be used, PostgreSQL must have statistics about the table. These statistics are collected using VACUUM ANALYZE, or simply ANALYZE. Using statistics, the optimizer knows how many rows are in the table, and can better determine if indexes should be used. Statistics are also valuable in determining optimal join order and join methods. Statistics collection should be performed periodically as the contents of the table change.
Indexes are normally not used for ORDER BY or to perform joins. A sequential scan followed by an explicit sort is usually faster than an index scan of a large table. However, LIMIT combined with ORDER BY often will use an index because only a small portion of the table is returned.
If you believe the optimizer is incorrect in choosing a
sequential scan, use SET enable_seqscan TO 'off' and
run query again to see if an index scan is indeed faster.
When using wild-card operators such as LIKE or ~, indexes can only be used in certain circumstances:
text_pattern_ops index for such cases that work only
for LIKE indexing. It is also possible to use
full text indexing for word searches.
See the EXPLAIN manual page.
The ~ operator does regular expression matching, and ~* does case-insensitive regular expression matching. The case-insensitive variant of LIKE is called ILIKE.
Case-insensitive equality comparisons are normally expressed as:
SELECT *
FROM tab
WHERE lower(col) = 'abc';
This will not use an standard index. However, if you create an
expression index, it will be used:
CREATE INDEX tabindex ON tab (lower(col));
If the above index is created as UNIQUE, though the column can store upper and lowercase characters, it can not have identical values that differ only in case. To force a particular case to be stored in the column, use a CHECK constraint or a trigger.
You test the column with IS NULL and IS NOT NULL, like this:
SELECT * FROM tab WHERE col IS NULL;
To concatentate with possible NULLs, use COALESCE(), like this:
SELECT COALESCE(col1, '') || COALESCE(col2, '') FROM tab
To sort by the NULL status, use the IS NULL and IS NOT NULL modifiers in your ORDER BY clause. Things that are true will sort higher than things that are false, so the following will put NULL entries at the top of the resulting list:
SELECT * FROM tab ORDER BY (col IS NOT NULL)
Type Internal Name Notes VARCHAR(n) varchar size specifies maximum length, no padding CHAR(n) bpchar blank padded to the specified fixed length TEXT text no specific upper limit on length BYTEA bytea variable-length byte array (null-byte safe) "char" char one character
You will see the internal name when examining system catalogs and in some error messages.
The first four types above are "varlena" types (i.e., the first four bytes on disk are the length, followed by the data). Thus the actual space used is slightly greater than the declared size. However, long values are also subject to compression, so the space on disk might also be less than expected.
VARCHAR(n) is best when storing variable-length strings and it limits how long a string can be. TEXT is for strings of unlimited length, with a maximum of one gigabyte.CHAR(n) is for storing strings that are all the same length. CHAR(n) pads with blanks to the specified length, while VARCHAR(n) only stores the characters supplied. BYTEA is for storing binary data, particularly values that include NULL bytes. All the types described here have similar performance characteristics.
PostgreSQL supports a SERIAL data type. It auto-creates a sequence. For example, this:
CREATE TABLE person (
id SERIAL,
name TEXT
);
is automatically translated into this:
CREATE SEQUENCE person_id_seq;
CREATE TABLE person (
id INT4 NOT NULL DEFAULT nextval('person_id_seq'),
name TEXT
);
Automatically created sequence are named <table>_<serialcolumn>_seq, where table and serialcolumn are the names of the table and SERIAL column, respectively. See the create_sequence manual page for more information about sequences.
The simplest way is to retrieve the assigned SERIAL value with RETURNING. Using the example table in 4.11.1, it would look like this:
INSERT INTO person (name) VALUES ('Blaise Pascal') RETURNING id;
You can also call nextval() and use that value in the
INSERT, or call currval() after the
INSERT.
No. currval() returns the current value assigned by your session, not by all sessions.
To improve concurrency, sequence values are given out to running transactions as needed and are not locked until the transaction completes. This causes gaps in numbering from aborted transactions.
If a table is created WITH OIDS, each row gets a unique a OID. OIDs are automatically assigned unique 4-byte integers that are unique across the entire installation. However, they overflow at 4 billion, and then the OIDs start being duplicated. PostgreSQL uses OIDs to link its internal system tables together.
To uniquely number rows in user tables, it is best to use SERIAL rather than OIDs because SERIAL sequences are unique only within a single table. and are therefore less likely to overflow. SERIAL8 is available for storing eight-byte sequence values.
CTIDs are used to identify specific physical rows with block and offset values. CTIDs change after rows are modified or reloaded. They are used by index entries to point to physical rows.
You probably have run out of virtual memory on your system, or your kernel has a low limit for certain resources. Try this before starting the server:
ulimit -d 262144
limit datasize 256m
Depending on your shell, only one of these may succeed, but it will
set your process data segment limit much higher and perhaps allow
the query to complete. This command applies to the current process,
and all subprocesses created after the command is run. If you are
having a problem with the SQL client because the
backend is returning too much data, try it before starting the
client.
From psql, type SELECT version();
Use CURRENT_TIMESTAMP:
CREATE TABLE test (x int, modtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP );
PostgreSQL supports outer joins using the SQL standard syntax. Here are two examples:
SELECT *
FROM t1 LEFT OUTER JOIN t2 ON (t1.col = t2.col);
or
SELECT *
FROM t1 LEFT OUTER JOIN t2 USING (col);
These identical queries join t1.col to t2.col, and also return any unjoined rows in t1 (those with no match in t2). A RIGHT join would add unjoined rows of t2. A FULL join would return the matched rows plus all unjoined rows from t1 and t2. The word OUTER is optional and is assumed in LEFT, RIGHT, and FULL joins. Ordinary joins are called INNER joins.
There is no way to query a database other than the current one. Because PostgreSQL loads database-specific system catalogs, it is uncertain how a cross-database query should even behave.
contrib/dblink allows cross-database queries using function calls. Of course, a client can also make simultaneous connections to different databases and merge the results on the client side.
It is easy using set-returning functions, http://wiki.postgresql.org/wiki/Return_more_than_one_row_of_data_from_PL/pgSQL_functions.
In PostgreSQL versions < 8.3, PL/PgSQL caches function scripts, and an unfortunate side effect is that if a PL/PgSQL function accesses a temporary table, and that table is later dropped and recreated, and the function called again, the function will fail because the cached function contents still point to the old temporary table. The solution is to use EXECUTE for temporary table access in PL/PgSQL. This will cause the query to be reparsed every time.
This problem does not occur in PostgreSQL 8.3 and later.
Though "replication" is a single term, there are several technologies for doing replication, with advantages and disadvantages for each.
Master/slave replication allows a single master to receive read/write queries, while slaves can only accept read/SELECT queries. The most popular freely available master-slave PostgreSQL replication solution is Slony-I.
Multi-master replication allows read/write queries to be sent to multiple replicated computers. This capability also has a severe impact on performance due to the need to synchronize changes between servers. PGCluster is the most popular such solution freely available for PostgreSQL.
There are also commercial and hardware-based replication solutions available supporting a variety of replication models.
The most common cause of unrecognized names is the use of double-quotes around table or column names during table creation. When double-quotes are used, table and column names (called identifiers) are stored case-sensitive, meaning you must use double-quotes when referencing the names in a query. Some interfaces, like pgAdmin, automatically double-quote identifiers during table creation. So, for identifiers to be recognized, you must either: