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FAQ

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                    Frequently Asked Questions (FAQ) for PostgreSQL
                                           
       Last updated: Sun Jan 16 22:01:06 EST 2005
       
       Current maintainer: Bruce Momjian (pgman@candle.pha.pa.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/.
         _________________________________________________________________
       
                                 General Questions
                                          
       1.1) What is PostgreSQL? How is it pronounced?
       1.2) What is the copyright on PostgreSQL?
       1.3) What Unix platforms does PostgreSQL run on?
       1.4) What non-Unix ports are available?
       1.5) Where can I get PostgreSQL?
       1.6) Where can I get support?
       1.7) What is the latest release?
       1.8) What documentation is available?
       1.9) How do I find out about known bugs or missing features?
       1.10) How can I learn SQL?
       1.11) Is PostgreSQL Y2K compliant?
       1.12) How do I join the development team?
       1.13) How do I submit a bug report?
       1.14) How does PostgreSQL compare to other DBMSs?
       1.15) How can I financially assist PostgreSQL?
       
                               User Client Questions
                                          
       2.1) Are there ODBC drivers for PostgreSQL?
       2.2) What tools are available for using PostgreSQL with Web pages?
       2.3) Does PostgreSQL have a graphical user interface?
       2.4) What languages are available to communicate with PostgreSQL?
       
                              Administrative Questions
                                          
       3.1) How do I install PostgreSQL somewhere other than
       /usr/local/pgsql?
       3.2) When I start postmaster, I get a Bad System Call or core dumped
       message. Why?
       3.3) When I try to start postmaster, I get IpcMemoryCreate errors.
       Why?
       3.4) When I try to start postmaster, I get IpcSemaphoreCreate errors.
       Why?
       3.5) How do I control connections from other hosts?
       3.6) How do I tune the database engine for better performance?
       3.7) What debugging features are available?
       3.8) Why do I get "Sorry, too many clients" when trying to connect?
       3.9) What is in the pgsql_tmp directory?
       3.10) Why do I need to do a dump and restore to upgrade PostgreSQL
       releases?
       3.11) What computer hardware should I use?
       
                               Operational Questions
                                          
       4.1) What is the difference between binary cursors and normal cursors?
       4.2) How do I SELECT only the first few rows of a query? A random row?
       4.3) How do I find out what tables, indexes, databases, and users are
       defined? How do I see the queries used by psql to display them?
       4.4) How do you remove a column from a table, or change it's data
       type?
       4.5) What is the maximum size for a row, a table, and a database?
       4.6) How much database disk space is required to store data from a
       typical text file?
       4.7) My queries are slow or don't make use of the indexes. Why?
       4.8) How do I see how the query optimizer is evaluating my query?
       4.9) What is an R-tree index?
       4.10) What is the Genetic Query Optimizer?
       4.11) How do I perform regular expression searches and
       case-insensitive regular expression searches? How do I use an index
       for case-insensitive searches?
       4.12) In a query, how do I detect if a field is NULL?
       4.13) What is the difference between the various character types?
       4.14.0) How do I create a serial/auto-incrementing field?
       4.14.1) How do I get the value of a SERIAL insert?
       4.14.2) Doesn't currval() lead to a race condition with other users?
       4.14.3) Why aren't my sequence numbers reused on transaction abort?
       Why are there gaps in the numbering of my sequence/SERIAL column?
       4.15) What is an OID? What is a TID?
       4.16) What is the meaning of some of the terms used in PostgreSQL?
       4.17) Why do I get the error "ERROR: Memory exhausted in
       AllocSetAlloc()"?
       4.18) How do I tell what PostgreSQL version I am running?
       4.19) Why does my large-object operations get "invalid large obj
       descriptor"?
       4.20) How do I create a column that will default to the current time?
       4.21) Why are my subqueries using IN so slow?
       4.22) How do I perform an outer join?
       4.23) How do I perform queries using multiple databases?
       4.24) How do I return multiple rows or columns from a function?
       4.25) Why can't I reliably create/drop temporary tables in PL/PgSQL
       functions?
       4.26) What encryption options are available?
       
                                Extending PostgreSQL
                                          
       5.1) I wrote a user-defined function. When I run it in psql, why does
       it dump core?
       5.2) How can I contribute some nifty new types and functions to
       PostgreSQL?
       5.3) How do I write a C function to return a tuple?
       5.4) I have changed a source file. Why does the recompile not see the
       change?
         _________________________________________________________________
       
                                 General Questions
                                          
        1.1) What is PostgreSQL? How is it pronounced?
        
       PostgreSQL is pronounced Post-Gres-Q-L.
       
       PostgreSQL is an enhancement of the POSTGRES database management
       system (and is still sometimes reffered to as simply "Postgres"), a
       next-generation DBMS research prototype. While PostgreSQL retains the
       powerful data model and rich data types of POSTGRES, it replaces the
       PostQuel query language with an extended subset of SQL. PostgreSQL is
       free and the complete source is available.
       
       PostgreSQL development is performed by a team of developers who all
       subscribe to the PostgreSQL development mailing list. The current
       coordinator is Marc G. Fournier (scrappy@PostgreSQL.org). (See section
       1.6 on how to join). This team is now responsible for all development
       of PostgreSQL. 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/files/documentation/faqs/FAQ_DEV.html
       
       The authors of PostgreSQL 1.01 were Andrew Yu and Jolly Chen. Many
       others have contributed to the porting, testing, debugging, and
       enhancement of the code. The original Postgres code, from which
       PostgreSQL is derived, was the effort of many graduate students,
       undergraduate students, and staff programmers working under the
       direction of Professor Michael Stonebraker at the University of
       California, Berkeley.
       
       The original name of the software at Berkeley was Postgres. When SQL
       functionality was added in 1995, its name was changed to Postgres95.
       The name was changed at the end of 1996 to PostgreSQL.
       
        1.2) What is the copyright on PostgreSQL?
        
       PostgreSQL is subject to the following COPYRIGHT:
       
       PostgreSQL Data Base Management System
       
       Portions Copyright (c) 1996-2005, PostgreSQL Global Development Group
       Portions Copyright (c) 1994-6 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.
       
       The above is the BSD license, the classic open-source license. It has
       no restrictions on how the source code may be used. We like it and
       have no intention of changing it.
       
        1.3) What Unix platforms does PostgreSQL run on?
        
       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.
       
        1.4) What non-Unix ports are available?
        
       Starting with version 8.0, PostgreSQL now runs natively on Microsoft
       Windows NT-based operating systems like Win2000, WinXP, and Win2003. A
       prepackaged installer is available at
       http://pgfoundry.org/projects/pginstaller. MSDOS-based versions of
       Windows (Win95, Win98, WinMe) can run PostgreSQL using Cygwin.
       
       There is also a Novell Netware 6 port at http://forge.novell.com, and
       an OS/2 (eComStation) version at
       http://hobbes.nmsu.edu/cgi-bin/h-search?sh=1&button=Search&key=postgre
       SQL&stype=all&sort=type&dir=%2F.
       
        1.5) Where can I get PostgreSQL?
        
       The primary anonymous ftp site for PostgreSQL is
       ftp://ftp.PostgreSQL.org/pub. For mirror sites, see our main web site.
       
        1.6) Where can I get support?
        
       The main mailing list is: pgsql-general@PostgreSQL.org. It is
       available for discussion of matters pertaining to PostgreSQL. To
       subscribe, send mail with the following lines in the body (not the
       subject line):
        subscribe
        end
    
       to pgsql-general-request@PostgreSQL.org.
       
       There is also a digest list available. To subscribe to this list, send
       email to: pgsql-general-digest-request@PostgreSQL.org with a body of:
        subscribe
        end
    
       Digests are sent out to members of this list whenever the main list
       has received around 30k of messages.
       
       The bugs mailing list is available. To subscribe to this list, send
       email to pgsql-bugs-request@PostgreSQL.org with a body of:
        subscribe
        end
    
       There is also a developers discussion mailing list available. To
       subscribe to this list, send email to
       pgsql-hackers-request@PostgreSQL.org with a body of:
        subscribe
        end
    
       Additional mailing lists and information about PostgreSQL can be found
       via the PostgreSQL WWW home page at:
       
         http://www.PostgreSQL.org
         
       The major IRC channel is #postgresql on Freenode (irc.freenode.net).
       To connect you can use the Unix command irc -c '#postgresql' "$USER"
       irc.freenode.net or use any of the other popular IRC clients. A
       Spanish one also exists on the same network, (#postgresql-es), and a
       French one, (#postgresqlfr). There is also a PostgreSQL channel on
       EFNet.
       
       A list of commercial support companies is available at
       http://techdocs.postgresql.org/companies.php.
       
        1.7) What is the latest release?
        
       The latest release of PostgreSQL is version 8.0.0.
       
       We plan to have major releases every six to eight months.
       
        1.8) What documentation is available?
        
       Several manuals, manual pages, and some small test examples are
       included in the distribution. 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/awbook.html and
       http://www.commandprompt.com/ppbook/. There is a list of PostgreSQL
       books available for purchase at
       http://techdocs.PostgreSQL.org/techdocs/bookreviews.php. There is also
       a collection of PostgreSQL technical articles at
       http://techdocs.PostgreSQL.org/.
       
       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.
       
        1.9) How do I find out about known bugs or missing features?
        
       PostgreSQL supports an extended subset of SQL-92. See our TODO list
       for known bugs, missing features, and future plans.
       
        1.10) How can I learn SQL?
        
       The PostgreSQL book at http://www.PostgreSQL.org/docs/awbook.html
       teaches SQL. There is another PostgreSQL book at
       http://www.commandprompt.com/ppbook. There is a nice tutorial at
       http://www.intermedia.net/support/sql/sqltut.shtm, at
       http://ourworld.compuserve.com/homepages/graeme_birchall/HTM_COOK.HTM,
       and at http://sqlcourse.com.
       
       Another one is "Teach Yourself SQL in 21 Days, Second Edition" at
       http://members.tripod.com/er4ebus/sql/index.htm
       
       Many of our users like The Practical SQL Handbook, Bowman, Judith S.,
       et al., Addison-Wesley. Others like The Complete Reference SQL, Groff
       et al., McGraw-Hill.
       
        1.11) Is PostgreSQL Y2K compliant?
        
       Yes, we easily handle dates past the year 2000 AD, and before 2000 BC.
       
        1.12) How do I join the development team?
        
       First, download the latest source and read the PostgreSQL Developers
       documentation on our web site, or in the distribution. Second,
       subscribe to the pgsql-hackers and pgsql-patches mailing lists. Third,
       submit high quality patches to pgsql-patches.
       
       There are about a dozen people who have commit privileges to the
       PostgreSQL CVS archive. They each have submitted so many high-quality
       patches that it was impossible for the existing committers to keep up,
       and we had confidence that patches they committed were of high
       quality.
       
        1.13) How do I submit a bug report?
        
       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 or patches.
       
        1.14) How does PostgreSQL compare to other DBMSs?
        
       There are several ways of measuring software: features, performance,
       reliability, support, and price.
       
       Features
              PostgreSQL has most features present in large commercial DBMSs,
              like transactions, subselects, triggers, views, foreign key
              referential integrity, and sophisticated locking. We have some
              features they do not have, like user-defined types,
              inheritance, rules, and multi-version concurrency control to
              reduce lock contention.
              
       Performance
              PostgreSQL's performance is comparable to other commercial and
              open source databases. It is faster for some things, slower for
              others. In comparison to MySQL or leaner database systems, we
              are faster for multiple users, complex queries, and a
              read/write query load. MySQL is faster for simple SELECT
              queries done by a few users. Of course, MySQL does not have
              most of the features mentioned in the Features section above.
              We are built for reliability and features, and we continue to
              improve performance in every release.
              
       Reliability
              We realize that a DBMS must be reliable, or it is worthless. We
              strive to release well-tested, stable code that has a minimum
              of bugs. Each release has at least one month of beta testing,
              and our release history shows that we can provide stable, solid
              releases that are ready for production use. We believe we
              compare favorably to other database software in this area.
              
       Support
              Our mailing lists provide contact with a large group of
              developers and users to help resolve any problems encountered.
              While we cannot guarantee a fix, commercial DBMSs do not always
              supply a fix either. Direct access to developers, the user
              community, manuals, and the source code often make PostgreSQL
              support superior to other DBMSs. There is commercial
              per-incident support available for those who need it. (See FAQ
              section 1.6.)
              
       Price
              We are free for all use, both commercial and non-commercial.
              You can add our code to your product with no limitations,
              except those outlined in our BSD-style license stated above.
              
        1.15) How can I financially assist PostgreSQL?
        
       PostgreSQL has had a first-class infrastructure since we started in
       1996. This is all thanks to Marc Fournier, who has created and managed
       this infrastructure over the years.
       
       Quality infrastructure is very important to an open-source project. It
       prevents disruptions that can greatly delay forward movement of the
       project.
       
       Of course, this infrastructure is not cheap. There are a variety of
       monthly and one-time expenses that are required to keep it going. If
       you or your company has money it can donate to help fund this effort,
       please go to http://store.pgsql.com/shopping/ and make a donation.
       
       Although the web page mentions PostgreSQL, Inc, the "contributions"
       item is solely to support the PostgreSQL project and does not fund any
       specific company. If you prefer, you can also send a check to the
       contact address.
       
       Also, if you have a success story about PostgreSQL, please email it to
       our advocacy list at pgsql-advocacy@postgresql.org.
         _________________________________________________________________
       
                               User Client Questions
                                          
        2.1) Are there ODBC drivers for PostgreSQL?
        
       There are two ODBC drivers available, PsqlODBC and OpenLink ODBC.
       
       You can download PsqlODBC from
       http://gborg.postgresql.org/project/psqlodbc/projdisplay.php.
       
       OpenLink ODBC can be gotten from http://www.openlinksw.com. It works
       with their standard ODBC client software so you'll have PostgreSQL
       ODBC available on every client platform they support (Win, Mac, Unix,
       VMS).
       
       They will probably be selling this product to people who need
       commercial-quality support, but a freeware version will always be
       available. Please send questions to postgres95@openlink.co.uk.
       
        2.2) What tools are available for using PostgreSQL with Web pages?
        
       A nice introduction to Database-backed Web pages can be seen at:
       http://www.webreview.com
       
       For Web integration, PHP is an excellent interface. It is at
       http://www.php.net.
       
       For complex cases, many use the Perl interface and CGI.pm or mod_perl.
       
        2.3) Does PostgreSQL have a graphical user interface?
        
       Yes, there are several graphical interfaces to PostgreSQL available.
       These include PgAccess http://www.pgaccess.org), pgAdmin III
       (http://www.pgadmin.org, RHDB Admin (http://sources.redhat.com/rhdb/
       ), TORA (http://www.globecom.net/tora/, partly commercial), and Rekall
       ( http://www.thekompany.com/products/rekall/, proprietary). There is
       also PhpPgAdmin ( http://phppgadmin.sourceforge.net/ ), a web-based
       interface to PostgreSQL.
       
       See http://techdocs.postgresql.org/guides/GUITools for a more detailed
       list.
       
        2.4) What languages are able to communicate with PostgreSQL?
        
       Most popular programming languages contain an interface to PostgreSQL.
       Check your programming language's list of extension modules.
       
       The following interfaces are included in the PostgreSQL distribution:
         * C (libpq)
         * Embedded C (ecpg)
         * Java (jdbc)
         * Python (PyGreSQL)
         * TCL (libpgtcl)
           
       Additional interfaces are available at http://gborg.postgresql.org in
       the Drivers/Interfaces section.
         _________________________________________________________________
       
                              Administrative Questions
                                          
        3.1) How do I install PostgreSQL somewhere other than /usr/local/pgsql?
        
       Specify the --prefix option when running configure.
       
        3.2) When I start postmaster, I get a Bad System Call or core dumped
        message. Why?
        
       It could be a variety of problems, but first check to see that you
       have System V extensions installed in your kernel. PostgreSQL requires
       kernel support for shared memory and semaphores.
       
        3.3) When I try to start postmaster, I get IpcMemoryCreate errors. Why?
        
       You either do not have shared memory configured properly in your
       kernel or you need to enlarge the shared memory available in the
       kernel. The exact amount you need depends on your architecture and how
       many buffers and backend processes you configure for postmaster. For
       most systems, with default numbers of buffers and processes, you need
       a minimum of ~1 MB. See the PostgreSQL Administrator's Guide/Server
       Run-time Environment/Managing Kernel Resources section for more
       detailed information about shared memory and semaphores.
       
        3.4) When I try to start postmaster, I get IpcSemaphoreCreate errors. Why?
        
       If the error message is IpcSemaphoreCreate: semget failed (No space
       left on device) then your kernel is not configured with enough
       semaphores. Postgres needs one semaphore per potential backend
       process. A temporary solution is to start postmaster with a smaller
       limit on the number of backend processes. Use -N with a parameter less
       than the default of 32. A more permanent solution is to increase your
       kernel's SEMMNS and SEMMNI parameters.
       
       Inoperative semaphores can also cause crashes during heavy database
       access.
       
       If the error message is something else, you might not have semaphore
       support configured in your kernel at all. See the PostgreSQL
       Administrator's Guide for more detailed information about shared
       memory and semaphores.
       
        3.5) How do I control connections from other hosts?
        
       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 and enable host-based authentication by modifying the
       file $PGDATA/pg_hba.conf accordingly.
       
        3.6) How do I tune the database engine for better performance?
        
       Certainly, indexes can speed up queries. The EXPLAIN ANALYZE command
       allows you to see how PostgreSQL is interpreting your query, and which
       indexes are being used.
       
       If you are doing many INSERTs, consider doing them in a large batch
       using the COPY command. This is much faster than individual INSERTS.
       Second, statements not in a BEGIN WORK/COMMIT transaction block are
       considered to be in their own transaction. Consider performing several
       statements in a single transaction block. This reduces the transaction
       overhead. Also, consider dropping and recreating indexes when making
       large data changes.
       
       There are several tuning options in the Administration Guide/Server
       Run-time Environment/Run-time Configuration. You can disable fsync()
       by using fsync option. This will prevent fsync()s from flushing to
       disk after every transaction.
       
       You can use the shared_buffers option to increase the number of shared
       memory buffers used by the backend processes. If you make this
       parameter too high, the postmaster may not start because you have
       exceeded your kernel's limit on shared memory space. Each buffer is 8K
       and the default is 1000 buffers.
       
       You can also use the sort_mem (from PostgreSQL 8.0: work_mem) options
       to increase the maximum amount of memory used by the backend processes
       for each temporary sort. The default is 1024 (i.e. 1MB).
       
       You can also use the CLUSTER command to group data in tables to match
       an index. See the CLUSTER manual page for more details.
       
        3.7) What debugging features are available?
        
       PostgreSQL has several features that report status information that
       can be valuable for debugging purposes.
       
       First, by running configure with the --enable-cassert option, many
       assert()s monitor the progress of the backend and halt the program
       when something unexpected occurs.
       
       Both postmaster and postgres have several debug options available.
       First, whenever you start postmaster, make sure you send the standard
       output and error to a log file, like:
        cd /usr/local/pgsql
        ./bin/postmaster >server.log 2>&1 &
    
       This will put a server.log file in the top-level PostgreSQL directory.
       This file contains useful information about problems or errors
       encountered by the server. Postmaster has a -d option that allows even
       more detailed information to be reported. The -d option takes a number
       that specifies the debug level. Be warned that high debug level values
       generate large log files.
       
       If postmaster is not running, you can actually run the postgres
       backend from the command line, and type your SQL statement directly.
       This is recommended only for debugging purposes. Note that a newline
       terminates the query, not a semicolon. If you have compiled with
       debugging symbols, you can use a debugger to see what is happening.
       Because the backend was not started from postmaster, it is not running
       in an identical environment and locking/backend interaction problems
       may not be duplicated.
       
       If postmaster is running, start psql in one window, then find the PID
       of the postgres process used by psql using
    SELECT pg_backend_pid()
    
       . Use a debugger to attach to the postgres PID. You can set
       breakpoints in the debugger and issue queries from psql. If you are
       debugging postgres startup, you can set PGOPTIONS="-W n", then start
       psql. This will cause startup to delay for n seconds so you can attach
       to the process with the debugger, set any breakpoints, and continue
       through the startup sequence.
       
       There are several
    log_*
    
       server configuration variables that enable printing of process
       statistics which can be very useful for debugging and performance
       measurements.
       
       You can also compile with profiling to see what functions are taking
       execution time. The backend profile files will be deposited in the
       pgsql/data/base/dbname directory. The client profile file will be put
       in the client's current directory. Linux requires a compile with
       -DLINUX_PROFILE for proper profiling.
       
        3.8) Why do I get "Sorry, too many clients" when trying to connect?
        
       You need to increase postmaster's limit on how many concurrent backend
       processes it can start.
       
       The default limit is 32 processes. You can increase it by restarting
       postmaster with a suitable -N value or modifying postgresql.conf.
       
       Note that if you make -N larger than 32, you must also increase -B
       beyond its default of 64; -B must be at least twice -N, and probably
       should be more than that for best performance. For large numbers of
       backend processes, you are also likely to find that you need to
       increase various Unix kernel configuration parameters. Things to check
       include the maximum size of shared memory blocks, SHMMAX; the maximum
       number of semaphores, SEMMNS and SEMMNI; the maximum number of
       processes, NPROC; the maximum number of processes per user, MAXUPRC;
       and the maximum number of open files, NFILE and NINODE. The reason
       that PostgreSQL has a limit on the number of allowed backend processes
       is so your system won't run out of resources.
       
        3.9) What is in the pgsql_tmp directory?
        
       This directory contains temporary files generated by the query
       executor. For example, if a sort needs to be done to satisfy an ORDER
       BY and the sort requires more space than the backend's -S parameter
       allows, then temporary files are created here to hold the extra data.
       
       The temporary files are usually deleted automatically, but might
       remain if a backend crashes during a sort. A stop and restart of the
       postmaster will remove files from those directories.
       
        3.10) Why do I need to do a dump and restore to upgrade between major
        PostgreSQL releases?
        
       The PostgreSQL team makes only small changes between minor releases,
       so upgrading from 7.2 to 7.2.1 does not require a dump and restore.
       However, major releases (e.g. from 7.2 to 7.3) often change the
       internal format of system tables and data files. These changes are
       often complex, so we don't maintain backward compatability for data
       files. A dump outputs data in a generic format that can then be loaded
       in using the new internal format.
       
       In releases where the on-disk format does not change, the pg_upgrade
       script can be used to upgrade without a dump/restore. The release
       notes mention whether pg_upgrade is available for the release.
       
        3.11) What computer hardware should I use?
        
       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.
         _________________________________________________________________
       
                               Operational Questions
                                          
        4.1) What is the difference between binary cursors and normal cursors?
        
       See the DECLARE manual page for a description.
       
        4.2) How do I SELECT only the first few rows of a query? A random row?
        
       See the FETCH manual page, or use SELECT ... LIMIT....
       
       The entire query may have to be evaluated, even if you only want the
       first few rows. Consider using a query that has an ORDER BY. If there
       is an index that matches the ORDER BY, PostgreSQL may be able to
       evaluate only the first few records requested, or the entire query may
       have to be evaluated until the desired rows have been generated.
       
       To SELECT a random row, use:
        SELECT col
        FROM tab
        ORDER BY random()
        LIMIT 1;
    
        4.3) How do I find out what tables, indexes, databases, and users are
        defined? How do I see the queries used by psql to display them?
        
       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.
       
        4.4) How do you remove a column from a table, or change its data type?
        
       DROP COLUMN functionality was added in release 7.3 with ALTER TABLE
       DROP COLUMN. In earlier versions, you can do this:
        BEGIN;
        LOCK TABLE old_table;
        SELECT ...  -- select all columns but the one you want to remove
        INTO TABLE new_table
        FROM old_table;
        DROP TABLE old_table;
        ALTER TABLE new_table RENAME TO old_table;
        COMMIT;
    
       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.
       
        4.5) What is the maximum size for a row, a table, and a database?
        
       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?                  1.6TB
        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 and maximum number of columns can be quadrupled
       by increasing the default block size to 32k.
       
        4.6) How much database disk space is required to store data from a typical
        text file?
        
       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 6.4
       MB:
        32 bytes: each row header (approximate)
        24 bytes: one int field and one text field
       + 4 bytes: pointer on page to tuple
       ----------------------------------------
        60 bytes per row
    
       The data page size in PostgreSQL is 8192 bytes (8 KB), so:
    
       8192 bytes per page
       -------------------   =  136 rows per database page (rounded down)
         60 bytes per row
    
       100000 data rows
       --------------------  =  735 database pages (rounded up)
          128 rows per page
    
    735 database pages * 8192 bytes per page  =  6,021,120 bytes (6 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.
       
        4.7) My queries are slow or don't make use of the indexes. Why?
        
       Indexes are not automatically used by every query. Indexes are only
       used 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. In fact, though MAX()
       and MIN() don't use indexes, it is possible to retrieve such values
       using an index with ORDER BY and LIMIT:
        SELECT col
        FROM tab
        ORDER BY col [ DESC ]
        LIMIT 1;
    
       If you believe the optimizer is incorrect in choosing a sequential
       scan, use SET enable_seqscan TO 'off' and run tests 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:
         * The beginning of the search string must be anchored to the start
           of the string, i.e.
              + LIKE patterns must not start with %.
              + ~ (regular expression) patterns must start with ^.
         * The search string can not start with a character class, e.g.
           [a-e].
         * Case-insensitive searches such as ILIKE and ~* do not utilise
           indexes. Instead, use functional indexes, which are described in
           section 4.11.
         * The default C locale must be used during initdb because it is not
           possible to know the next-greater character in a non-C locale. You
           can create a special
    text_pattern_ops
           index for such cases that work only for
    LIKE
           indexing.
           
       In pre-8.0 releases, indexes often can not be used unless the data
       types exactly match the index's column types. This is particularly
       true of int2, int8, and numeric column indexes.
       
        4.8) How do I see how the query optimizer is evaluating my query?
        
       See the EXPLAIN manual page.
       
        4.9) What is an R-tree index?
        
       An R-tree index is used for indexing spatial data. A hash index can't
       handle range searches. A B-tree index only handles range searches in a
       single dimension. R-trees can handle multi-dimensional data. For
       example, if an R-tree index can be built on an attribute of type
       point, the system can more efficiently answer queries such as "select
       all points within a bounding rectangle."
       
       The canonical paper that describes the original R-tree design is:
       
       Guttman, A. "R-trees: A Dynamic Index Structure for Spatial
       Searching." Proceedings of the 1984 ACM SIGMOD Int'l Conf on Mgmt of
       Data, 45-57.
       
       You can also find this paper in Stonebraker's "Readings in Database
       Systems".
       
       Built-in R-trees can handle polygons and boxes. In theory, R-trees can
       be extended to handle higher number of dimensions. In practice,
       extending R-trees requires a bit of work and we don't currently have
       any documentation on how to do it.
       
        4.10) What is the Genetic Query Optimizer?
        
       The GEQO module speeds query optimization when joining many tables by
       means of a Genetic Algorithm (GA). It allows the handling of large
       join queries through nonexhaustive search.
       
        4.11) How do I perform regular expression searches and case-insensitive
        regular expression searches? How do I use an index for case-insensitive
        searches?
        
       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 a
       functional index, it will be used:
        CREATE INDEX tabindex ON tab (lower(col));
    
        4.12) In a query, how do I detect if a field is NULL?
        
       You test the column with IS NULL and IS NOT NULL.
       
        4.13) What is the difference between the various character types?
        
    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, these
       data types are also subject to compression or being stored out-of-line
       by TOAST, 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.
       
        4.14.1) How do I create a serial/auto-incrementing field?
        
       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
        );
    
       See the create_sequence manual page for more information about
       sequences. You can also use each row's OID field as a unique value.
       However, if you need to dump and reload the database, you need to use
       pg_dump's -o option or COPY WITH OIDS option to preserve the OIDs.
       
        4.14.2) How do I get the value of a SERIAL insert?
        
       One approach is to retrieve the next SERIAL value from the sequence
       object with the nextval() function before inserting and then insert it
       explicitly. Using the example table in 4.14.1, an example in a
       pseudo-language would look like this:
        new_id = execute("SELECT nextval('person_id_seq')");
        execute("INSERT INTO person (id, name) VALUES (new_id, 'Blaise Pascal')");
    
       You would then also have the new value stored in new_id for use in
       other queries (e.g., as a foreign key to the person table). Note that
       the name of the automatically created SEQUENCE object will be named
       <table>_<serialcolumn>_seq, where table and serialcolumn are the names
       of your table and your SERIAL column, respectively.
       
       Alternatively, you could retrieve the assigned SERIAL value with the
       currval() function after it was inserted by default, e.g.,
        execute("INSERT INTO person (name) VALUES ('Blaise Pascal')");
        new_id = execute("SELECT currval('person_id_seq')");
    
       Finally, you could use the OID returned from the INSERT statement to
       look up the default value, though this is probably the least portable
       approach, and the oid value will wrap around when it reaches 4
       billion. In Perl, using DBI with the DBD::Pg module, the oid value is
       made available via $sth->{pg_oid_status} after $sth->execute().
       
        4.14.3) Doesn't currval() lead to a race condition with other users?
        
       No. currval() returns the current value assigned by your backend, not
       by all users.
       
        4.14.4) Why aren't my sequence numbers reused on transaction abort? Why are
        there gaps in the numbering of my sequence/SERIAL column?
        
       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.
       
        4.15) What is an OID? What is a TID?
        
       OIDs are PostgreSQL's answer to unique row ids. Every row that is
       created in PostgreSQL gets a unique OID. All OIDs generated during
       initdb are less than 16384 (from include/access/transam.h). All
       user-created OIDs are equal to or greater than this. By default, all
       these OIDs are unique not only within a table or database, but unique
       within the entire PostgreSQL installation.
       
       PostgreSQL uses OIDs in its internal system tables to link rows
       between tables. These OIDs can be used to identify specific user rows
       and used in joins. It is recommended you use column type OID to store
       OID values. You can create an index on the OID field for faster
       access.
       
       OIDs are assigned to all new rows from a central area that is used by
       all databases. If you want to change the OID to something else, or if
       you want to make a copy of the table, with the original OIDs, there is
       no reason you can't do it:
            CREATE TABLE new_table(mycol int);
            SELECT oid AS old_oid, mycol INTO tmp_table FROM old_table;
            COPY tmp_table TO '/tmp/pgtable';
            COPY new_table WITH OIDS FROM '/tmp/pgtable';
            DROP TABLE tmp_table;
    
       OIDs are stored as 4-byte integers, and will overflow at 4 billion. No
       one has reported this ever happening, and we plan to have the limit
       removed before anyone does.
       
       TIDs are used to identify specific physical rows with block and offset
       values. TIDs change after rows are modified or reloaded. They are used
       by index entries to point to physical rows.
       
        4.16) What is the meaning of some of the terms used in PostgreSQL?
        
       Some of the source code and older documentation use terms that have
       more common usage. Here are some:
         * table, relation, class
         * row, record, tuple
         * column, field, attribute
         * retrieve, select
         * replace, update
         * append, insert
         * OID, serial value
         * portal, cursor
         * range variable, table name, table alias
           
       A list of general database terms can be found at:
       http://hea-www.harvard.edu/MST/simul/software/docs/pkgs/pgsql/glossary
       /glossary.html
       
        4.17) Why do I get the error "ERROR: Memory exhausted in AllocSetAlloc()"?
        
       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
       postmaster:
        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.
       
        4.18) How do I tell what PostgreSQL version I am running?
        
       From psql, type SELECT version();
       
        4.19) Why does my large-object operations get "invalid large obj
        descriptor"?
        
       You need to put BEGIN WORK and COMMIT around any use of a large object
       handle, that is, surrounding lo_open ... lo_close.
       
       Currently PostgreSQL enforces the rule by closing large object handles
       at transaction commit. So the first attempt to do anything with the
       handle will draw invalid large obj descriptor. So code that used to
       work (at least most of the time) will now generate that error message
       if you fail to use a transaction.
       
       If you are using a client interface like ODBC you may need to set
       auto-commit off.
       
        4.20) How do I create a column that will default to the current time?
        
       Use CURRENT_TIMESTAMP:
    CREATE TABLE test (x int, modtime timestamp DEFAULT CURRENT_TIMESTAMP );
    
        4.21) Why are my subqueries using IN so slow?
        
       In versions prior to 7.4, subqueries were joined to outer queries by
       sequentially scanning the result of the subquery for each row of the
       outer query. If the subquery returns only a few rows and the outer
       query returns many rows, IN is fastest. To speed up other queries,
       replace IN with EXISTS:
        SELECT *
        FROM tab
        WHERE col IN (SELECT subcol FROM subtab);
    
       to:
        SELECT *
        FROM tab
        WHERE EXISTS (SELECT subcol FROM subtab WHERE subcol = col);
    
       For this to be fast, subcol should be an indexed column.
       
       In version 7.4 and later, IN actually uses the same sophisticated join
       techniques as normal queries, and is prefered to using EXISTS.
       
        4.22) How do I perform an outer join?
        
       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.
       
       In previous releases, outer joins can be simulated using UNION and NOT
       IN. For example, when joining tab1 and tab2, the following query does
       an outer join of the two tables:
        SELECT tab1.col1, tab2.col2
        FROM tab1, tab2
        WHERE tab1.col1 = tab2.col1
        UNION ALL
        SELECT tab1.col1, NULL
        FROM tab1
        WHERE tab1.col1 NOT IN (SELECT tab2.col1 FROM tab2)
        ORDER BY col1
    
        4.23) How do I perform queries using multiple databases?
        
       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 make simultaneous connections to different
       databases and merge the results on the client side.
       
        4.24) How do I return multiple rows or columns from a function?
        
       In 7.3, you can easily return multiple rows or columns from a
       function, http://techdocs.postgresql.org/guides/SetReturningFunctions.
       
        4.25) Why can't I reliably create/drop temporary tables in PL/PgSQL
        functions?
        
       PL/PgSQL caches function contents, 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.
       
        4.26) What encryption options are available?
        
         * contrib/pgcrypto contains many encryption functions for use in SQL
           queries.
         * To encrypt transmission from the client to the server, the server
           must have the ssl option set to true in postgresql.conf, and an
           applicable host or hostssl record must exist in pg_hba.conf, and
           the client sslmode must not be disable. (Note that it is also
           possible to use a third-party encrypted transport, such as stunnel
           or ssh, rather than PostgreSQL's native SSL connections.)
         * Database user passwords are automatically encrypted when stored in
           version 7.3. In previous versions, you must enable the option
           PASSWORD_ENCRYPTION in postgresql.conf.
         * The server can run using an encrypted file system.
         _________________________________________________________________
       
                                Extending PostgreSQL
                                          
        5.1) I wrote a user-defined function. When I run it in psql, why does it
        dump core?
        
       The problem could be a number of things. Try testing your user-defined
       function in a stand-alone test program first.
       
        5.2) How can I contribute some nifty new types and functions to PostgreSQL?
        
       Send your extensions to the pgsql-hackers mailing list, and they will
       eventually end up in the contrib/ subdirectory.
       
        5.3) How do I write a C function to return a tuple?
        
       In versions of PostgreSQL beginning with 7.3, table-returning
       functions are fully supported in C, PL/PgSQL, and SQL. See the
       Programmer's Guide for more information. An example of a
       table-returning function defined in C can be found in
       contrib/tablefunc.
       
        5.4) I have changed a source file. Why does the recompile not see the
        change?
        
       The Makefiles do not have the proper dependencies for include files.
       You have to do a make clean and then another make. If you are using
       GCC you can use the --enable-depend option of configure to have the
       compiler compute the dependencies automatically.