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Developer's Frequently Asked Questions (FAQ) for PostgreSQL
Last updated: Sat May 14 12:26:01 EDT 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_DEV.html.
_________________________________________________________________
General Questions
1.1) How do I get involved in PostgreSQL development?
1.2) What development environment is required to develop code?
1.3) What areas need work?
1.4) What do I do after choosing an item to work on?
1.5) I've developed a patch, what next?
1.6) Where can I learn more about the code?
1.7) How do I download/update the current source tree?
1.8) How do I test my changes?
1.9) What tools are available for developers?
1.10) What books are good for developers?
1.11) What is configure all about?
1.12) How do I add a new port?
1.13) Why don't you use threads, raw devices, async-I/O, <insert your
favorite wizz-bang feature here>?
1.14) How are RPM's packaged?
1.15) How are CVS branches handled?
1.16) Where can I get a copy of the SQL standards?
1.17) Where can I get technical assistance?
1.18) How do I get involved in PostgreSQL web site development?
Technical Questions
2.1) How do I efficiently access information in tables from the
backend code?
2.2) Why are table, column, type, function, view names sometimes
referenced as Name or NameData, and sometimes as char *?
2.3) Why do we use Node and List to make data structures?
2.4) I just added a field to a structure. What else should I do?
2.5) Why do we use palloc() and pfree() to allocate memory?
2.6) What is ereport()?
2.7) What is CommandCounterIncrement()?
2.8) What debugging features are available?
_________________________________________________________________
General Questions
1.1) How do I get involved in PostgreSQL development?
Download the code and have a look around. See 1.7.
Subscribe to and read the pgsql-hackers mailing list (often termed
'hackers'). This is where the major contributors and core members of
the project discuss development.
1.2) What development environment is required to develop code?
PostgreSQL is developed mostly in the C programming language. It also
makes use of Yacc and Lex.
The source code is targeted at most of the popular Unix platforms and
the Windows environment (XP, Windows 2000, and up).
Most developers make use of the open source development tool chain. If
you have contributed to open source software before, you will probably
be familiar with these tools. They include: GCC (http://gcc.gnu.org,
GDB (www.gnu.org/software/gdb/gdb.html), autoconf
(www.gnu.org/software/autoconf/) AND GNU make
(www.gnu.org/software/make/make.html.
Developers using this tool chain on Windows make use of MingW (see
http://www.mingw.org/).
Some developers use compilers from other software vendors with mixed
results.
Developers who are regularly rebuilding the source often pass the
--enable-depend flag to configure. The result is that when you make a
modification to a C header file, all files depend upon that file are
also rebuilt.
1.3) What areas need work?
Outstanding features are detailed in the TODO list. This is located in
doc/TODO in the source distribution or at
http://www.postgresql.org/docs/faqs.TODO.html.
You can learn more about these features by consulting the archives,
the SQL standards and the recommend texts (see 1.10).
1.4) What do I do after choosing an item to work on?
Send an email to pgsql-hackers with a proposal for what you want to do
(assuming your contribution is not trivial). Working in isolation is
not advisable because others might be working on the same TODO item,
or you might have misunderstood the TODO item. In the email, discuss
both the internal implementation method you plan to use, and any
user-visible changes (new syntax, etc). For complex patches, it is
important to get community feeback on your proposal before starting
work. Failure to do so might mean your patch is rejected.
A web site is maintained for patches that are ready to be applied,
http://momjian.postgresql.org/cgi-bin/pgpatches, and those that are
being kept for the next release,
http://momjian.postgresql.org/cgi-bin/pgpatches2.
1.5) I've developed a patch, what next?
Generate the patch in contextual diff format. If you are unfamiliar
with this, you might find the script src/tools/makediff/difforig
useful.
Ensure that your patch is generated against the most recent version of
the code. If it is a patch adding new functionality, the most recent
version is CVS HEAD; if it is a bug fix, this will be the most
recently version of the branch which suffers from the bug (for more on
branches in PostgreSQL, see 1.15).
Finally, submit the patch to pgsql-patches@postgresql.org. It will be
reviewed by other contributors to the project and will be either
accepted or sent back for further work. Also, please try to include
documentation changes as part of the patch. If you can't do that, let
us know and we will manually update the documentation when the patch
is applied.
1.6) Where can I learn more about the code?
Other than documentation in the source tree itself, you can find some
papers/presentations discussing the code at
http://www.postgresql.org/developer.
1.7) How do I download/update the current source tree?
There are several ways to obtain the source tree. Occasional
developers can just get the most recent source tree snapshot from
ftp://ftp.postgresql.org.
Regular developers might want to take advantage of anonymous access to
our source code management system. The source tree is currently hosted
in CVS. For details of how to obtain the source from CVS see
http://developer.postgresql.org/docs/postgres/cvs.html.
1.8) How do I test my changes?
Basic system testing
The easiest way to test your code is to ensure that it builds against
the latest version of the code and that it does not generate compiler
warnings.
It is worth advised that you pass --enable-cassert to configure. This
will turn on assertions with in the source which will often show us
bugs because they cause data corruption of segmentation violations.
This generally makes debugging much easier.
Then, perform run time testing via psql.
Regression test suite
The next step is to test your changes against the existing regression
test suite. To do this, issue "make check" in the root directory of
the source tree. If any tests failure, investigate.
If you've deliberately changed existing behavior, this change might
cause a regression test failure but not any actual regression. If so,
you should also patch the regression test suite.
Other run time testing
Some developers make use of tools such as valgrind
(http://valgrind.kde.org) for memory testing, gprof (which comes with
the GNU binutils suite) and oprofile
(http://oprofile.sourceforge.net/) for profiling and other related
tools.
What about unit testing, static analysis, model checking...?
There have been a number of discussions about other testing frameworks
and some developers are exploring these ideas.
Keep in mind 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.
1.9) What tools are available for developers?
First, all the files in the src/tools directory are designed for
developers.
RELEASE_CHANGES changes we have to make for each release
backend description/flowchart of the backend directories
ccsym find standard defines made by your compiler
copyright fixes copyright notices
entab converts tabs to spaces, used by pgindent
find_static finds functions that could be made static
find_typedef finds typedefs in the source code
find_badmacros finds macros that use braces incorrectly
fsync a script to provide information about the cost of cache
syncing system calls
make_ctags make vi 'tags' file in each directory
make_diff make *.orig and diffs of source
make_etags make emacs 'etags' files
make_keywords make comparison of our keywords and SQL'92
make_mkid make mkid ID files
pgcvslog used to generate a list of changes for each release
pginclude scripts for adding/removing include files
pgindent indents source files
pgtest a semi-automated build system
thread a thread testing script
In src/include/catalog:
unused_oids a script which generates unused OIDs for use in system
catalogs
duplicate_oids finds duplicate OIDs in system catalog definitions
If you point your browser at the tools/backend/index.html file, you
will see few paragraphs describing the data flow, the backend
components in a flow chart, and a description of the shared memory
area. You can click on any flowchart box to see a description. If you
then click on the directory name, you will be taken to the source
directory, to browse the actual source code behind it. We also have
several README files in some source directories to describe the
function of the module. The browser will display these when you enter
the directory also. The tools/backend directory is also contained on
our web page under the title How PostgreSQL Processes a Query.
Second, you really should have an editor that can handle tags, so you
can tag a function call to see the function definition, and then tag
inside that function to see an even lower-level function, and then
back out twice to return to the original function. Most editors
support this via tags or etags files.
Third, you need to get id-utils from ftp://ftp.gnu.org/gnu/id-utils/
By running tools/make_mkid, an archive of source symbols can be
created that can be rapidly queried.
Some developers make use of cscope, which can be found at
http://cscope.sf.net/. Others use glimpse, which can be found at
http://webglimpse.net/.
tools/make_diff has tools to create patch diff files that can be
applied to the distribution. This produces context diffs, which is our
preferred format.
Our standard format is to indent each code level with one tab, where
each tab is four spaces. You will need to set your editor to display
tabs as four spaces:
vi in ~/.exrc:
set tabstop=4
set sw=4
more:
more -x4
less:
less -x4
emacs:
M-x set-variable tab-width
or
(c-add-style "pgsql"
'("bsd"
(indent-tabs-mode . t)
(c-basic-offset . 4)
(tab-width . 4)
(c-offsets-alist .
((case-label . +)))
)
nil ) ; t = set this style, nil = don't
(defun pgsql-c-mode ()
(c-mode)
(c-set-style "pgsql")
)
and add this to your autoload list (modify file path in macro):
(setq auto-mode-alist
(cons '("\\`/home/andrew/pgsql/.*\\.[chyl]\\'" . pgsql-c-mode)
auto-mode-alist))
or
/*
* Local variables:
* tab-width: 4
* c-indent-level: 4
* c-basic-offset: 4
* End:
*/
pgindent will the format code by specifying flags to your operating
system's utility indent. This article describes the value of a
consistent coding style.
pgindent is run on all source files just before each beta test period.
It auto-formats all source files to make them consistent. Comment
blocks that need specific line breaks should be formatted as block
comments, where the comment starts as /*------. These comments will
not be reformatted in any way.
pginclude contains scripts used to add needed #include's to include
files, and removed unneeded #include's.
When adding system types, you will need to assign oids to them. There
is also a script called unused_oids in pgsql/src/include/catalog that
shows the unused oids.
1.10) What books are good for developers?
I have four good books, An Introduction to Database Systems, by C.J.
Date, Addison, Wesley, A Guide to the SQL Standard, by C.J. Date, et.
al, Addison, Wesley, Fundamentals of Database Systems, by Elmasri and
Navathe, and Transaction Processing, by Jim Gray, Morgan, Kaufmann
There is also a database performance site, with a handbook on-line
written by Jim Gray at http://www.benchmarkresources.com..
1.11) What is configure all about?
The files configure and configure.in are part of the GNU autoconf
package. Configure allows us to test for various capabilities of the
OS, and to set variables that can then be tested in C programs and
Makefiles. Autoconf is installed on the PostgreSQL main server. To add
options to configure, edit configure.in, and then run autoconf to
generate configure.
When configure is run by the user, it tests various OS capabilities,
stores those in config.status and config.cache, and modifies a list of
*.in files. For example, if there exists a Makefile.in, configure
generates a Makefile that contains substitutions for all @var@
parameters found by configure.
When you need to edit files, make sure you don't waste time modifying
files generated by configure. Edit the *.in file, and re-run configure
to recreate the needed file. If you run make distclean from the
top-level source directory, all files derived by configure are
removed, so you see only the file contained in the source
distribution.
1.12) How do I add a new port?
There are a variety of places that need to be modified to add a new
port. First, start in the src/template directory. Add an appropriate
entry for your OS. Also, use src/config.guess to add your OS to
src/template/.similar. You shouldn't match the OS version exactly. The
configure test will look for an exact OS version number, and if not
found, find a match without version number. Edit src/configure.in to
add your new OS. (See configure item above.) You will need to run
autoconf, or patch src/configure too.
Then, check src/include/port and add your new OS file, with
appropriate values. Hopefully, there is already locking code in
src/include/storage/s_lock.h for your CPU. There is also a
src/makefiles directory for port-specific Makefile handling. There is
a backend/port directory if you need special files for your OS.
1.13) Why don't you use threads, raw devices, async-I/O, <insert your
favorite wizz-bang feature here>?
There is always a temptation to use the newest operating system
features as soon as they arrive. We resist that temptation.
First, we support 15+ operating systems, so any new feature has to be
well established before we will consider it. Second, most new
wizz-bang features don't provide dramatic improvements. Third, they
usually have some downside, such as decreased reliability or
additional code required. Therefore, we don't rush to use new features
but rather wait for the feature to be established, then ask for
testing to show that a measurable improvement is possible.
As an example, threads are not currently used in the backend code
because:
* Historically, threads were unsupported and buggy.
* An error in one backend can corrupt other backends.
* Speed improvements using threads are small compared to the
remaining backend startup time.
* The backend code would be more complex.
So, we are not ignorant of new features. It is just that we are
cautious about their adoption. The TODO list often contains links to
discussions showing our reasoning in these areas.
1.14) How are RPMs packaged?
This was written by Lamar Owen:
2001-05-03
As to how the RPMs are built -- to answer that question sanely
requires me to know how much experience you have with the whole RPM
paradigm. 'How is the RPM built?' is a multifaceted question. The
obvious simple answer is that I maintain:
1. A set of patches to make certain portions of the source tree
'behave' in the different environment of the RPMset;
2. The initscript;
3. Any other ancillary scripts and files;
4. A README.rpm-dist document that tries to adequately document both
the differences between the RPM build and the WHY of the
differences, as well as useful RPM environment operations (like,
using syslog, upgrading, getting postmaster to start at OS boot,
etc);
5. The spec file that throws it all together. This is not a trivial
undertaking in a package of this size.
I then download and build on as many different canonical distributions
as I can -- currently I am able to build on Red Hat 6.2, 7.0, and 7.1
on my personal hardware. Occasionally I receive opportunity from
certain commercial enterprises such as Great Bridge and PostgreSQL,
Inc. to build on other distributions.
I test the build by installing the resulting packages and running the
regression tests. Once the build passes these tests, I upload to the
postgresql.org ftp server and make a release announcement. I am also
responsible for maintaining the RPM download area on the ftp site.
You'll notice I said 'canonical' distributions above. That simply
means that the machine is as stock 'out of the box' as practical --
that is, everything (except select few programs) on these boxen are
installed by RPM; only official Red Hat released RPMs are used (except
in unusual circumstances involving software that will not alter the
build -- for example, installing a newer non-RedHat version of the Dia
diagramming package is OK -- installing Python 2.1 on the box that has
Python 1.5.2 installed is not, as that alters the PostgreSQL build).
The RPM as uploaded is built to as close to out-of-the-box pristine as
is possible. Only the standard released 'official to that release'
compiler is used -- and only the standard official kernel is used as
well.
For a time I built on Mandrake for RedHat consumption -- no more.
Nonstandard RPM building systems are worse than useless. Which is not
to say that Mandrake is useless! By no means is Mandrake useless --
unless you are building Red Hat RPMs -- and Red Hat is useless if
you're trying to build Mandrake or SuSE RPMs, for that matter. But I
would be foolish to use 'Lamar Owen's Super Special RPM Blend Distro
0.1.2' to build for public consumption! :-)
I _do_ attempt to make the _source_ RPM compatible with as many
distributions as possible -- however, since I have limited resources
(as a volunteer RPM maintainer) I am limited as to the amount of
testing said build will get on other distributions, architectures, or
systems.
And, while I understand people's desire to immediately upgrade to the
newest version, realize that I do this as a side interest -- I have a
regular, full-time job as a broadcast
engineer/webmaster/sysadmin/Technical Director which occasionally
prevents me from making timely RPM releases. This happened during the
early part of the 7.1 beta cycle -- but I believe I was pretty much on
the ball for the Release Candidates and the final release.
I am working towards a more open RPM distribution -- I would dearly
love to more fully document the process and put everything into CVS --
once I figure out how I want to represent things such as the spec file
in a CVS form. It makes no sense to maintain a changelog, for
instance, in the spec file in CVS when CVS does a better job of
changelogs -- I will need to write a tool to generate a real spec file
from a CVS spec-source file that would add version numbers, changelog
entries, etc to the result before building the RPM. IOW, I need to
rethink the process -- and then go through the motions of putting my
long RPM history into CVS one version at a time so that version
history information isn't lost.
As to why all these files aren't part of the source tree, well, unless
there was a large cry for it to happen, I don't believe it should.
PostgreSQL is very platform-agnostic -- and I like that. Including the
RPM stuff as part of the Official Tarball (TM) would, IMHO, slant that
agnostic stance in a negative way. But maybe I'm too sensitive to
that. I'm not opposed to doing that if that is the consensus of the
core group -- and that would be a sneaky way to get the stuff into CVS
:-). But if the core group isn't thrilled with the idea (and my
instinct says they're not likely to be), I am opposed to the idea --
not to keep the stuff to myself, but to not hinder the
platform-neutral stance. IMHO, of course.
Of course, there are many projects that DO include all the files
necessary to build RPMs from their Official Tarball (TM).
1.15) How are CVS branches managed?
This was written by Tom Lane:
2001-05-07
If you just do basic "cvs checkout", "cvs update", "cvs commit", then
you'll always be dealing with the HEAD version of the files in CVS.
That's what you want for development, but if you need to patch past
stable releases then you have to be able to access and update the
"branch" portions of our CVS repository. We normally fork off a branch
for a stable release just before starting the development cycle for
the next release.
The first thing you have to know is the branch name for the branch you
are interested in getting at. To do this, look at some long-lived
file, say the top-level HISTORY file, with "cvs status -v" to see what
the branch names are. (Thanks to Ian Lance Taylor for pointing out
that this is the easiest way to do it.) Typical branch names are:
REL7_1_STABLE
REL7_0_PATCHES
REL6_5_PATCHES
OK, so how do you do work on a branch? By far the best way is to
create a separate checkout tree for the branch and do your work in
that. Not only is that the easiest way to deal with CVS, but you
really need to have the whole past tree available anyway to test your
work. (And you *better* test your work. Never forget that dot-releases
tend to go out with very little beta testing --- so whenever you
commit an update to a stable branch, you'd better be doubly sure that
it's correct.)
Normally, to checkout the head branch, you just cd to the place you
want to contain the toplevel "pgsql" directory and say
cvs ... checkout pgsql
To get a past branch, you cd to wherever you want it and say
cvs ... checkout -r BRANCHNAME pgsql
For example, just a couple days ago I did
mkdir ~postgres/REL7_1
cd ~postgres/REL7_1
cvs ... checkout -r REL7_1_STABLE pgsql
and now I have a maintenance copy of 7.1.*.
When you've done a checkout in this way, the branch name is "sticky":
CVS automatically knows that this directory tree is for the branch,
and whenever you do "cvs update" or "cvs commit" in this tree, you'll
fetch or store the latest version in the branch, not the head version.
Easy as can be.
So, if you have a patch that needs to apply to both the head and a
recent stable branch, you have to make the edits and do the commit
twice, once in your development tree and once in your stable branch
tree. This is kind of a pain, which is why we don't normally fork the
tree right away after a major release --- we wait for a dot-release or
two, so that we won't have to double-patch the first wave of fixes.
1.16) Where can I get a copy of the SQL standards?
There are three versions of the SQL standard: SQL-92, SQL:1999, and
SQL:2003. They are endorsed by ANSI and ISO. Draft versions can be
downloaded from:
* SQL-92 http://www.contrib.andrew.cmu.edu/~shadow/sql/sql1992.txt
* SQL:1999
http://www.cse.iitb.ac.in/dbms/Data/Papers-Other/SQL1999/ansi-iso-
9075-2-1999.pdf
* SQL:2003 http://www.wiscorp.com/sql/sql_2003_standard.zip
Some SQL standards web pages are:
* http://troels.arvin.dk/db/rdbms/links/#standards
* http://www.wiscorp.com/SQLStandards.html
* http://www.contrib.andrew.cmu.edu/~shadow/sql.html#syntax (SQL-92)
* http://dbs.uni-leipzig.de/en/lokal/standards.pdf (paper)
1.17) Where can I get technical assistance?
Many technical questions held by those new to the code have been
answered on the pgsql-hackers mailing list - the archives of which can
be found at http://archives.postgresql.org/pgsql-hackers/.
If you cannot find discussion or your particular question, feel free
to put it to the list.
Major contributors also answer technical questions, including
questions about development of new features, on IRC at
irc.freenode.net in the #postgresql channel.
1.18) How do I get involved in PostgreSQL web site development?
PostgreSQL website development is discussed on the
pgsql-www@postgresql.org mailing list. The is a project page where the
source code is available at
http://gborg.postgresql.org/project/pgweb/projdisplay.php , the code
for the next version of the website is under the "portal" module. You
will also find code for the "techdocs" website if you would like to
contribute to that. A temporary todo list for current website
development issues is available at http://xzilla.postgresql.org/todo
Technical Questions
2.1) How do I efficiently access information in tables from the backend code?
You first need to find the tuples(rows) you are interested in. There
are two ways. First, SearchSysCache() and related functions allow you
to query the system catalogs. This is the preferred way to access
system tables, because the first call to the cache loads the needed
rows, and future requests can return the results without accessing the
base table. The caches use system table indexes to look up tuples. A
list of available caches is located in
src/backend/utils/cache/syscache.c.
src/backend/utils/cache/lsyscache.c contains many column-specific
cache lookup functions.
The rows returned are cache-owned versions of the heap rows.
Therefore, you must not modify or delete the tuple returned by
SearchSysCache(). What you should do is release it with
ReleaseSysCache() when you are done using it; this informs the cache
that it can discard that tuple if necessary. If you neglect to call
ReleaseSysCache(), then the cache entry will remain locked in the
cache until end of transaction, which is tolerable but not very
desirable.
If you can't use the system cache, you will need to retrieve the data
directly from the heap table, using the buffer cache that is shared by
all backends. The backend automatically takes care of loading the rows
into the buffer cache.
Open the table with heap_open(). You can then start a table scan with
heap_beginscan(), then use heap_getnext() and continue as long as
HeapTupleIsValid() returns true. Then do a heap_endscan(). Keys can be
assigned to the scan. No indexes are used, so all rows are going to be
compared to the keys, and only the valid rows returned.
You can also use heap_fetch() to fetch rows by block number/offset.
While scans automatically lock/unlock rows from the buffer cache, with
heap_fetch(), you must pass a Buffer pointer, and ReleaseBuffer() it
when completed.
Once you have the row, you can get data that is common to all tuples,
like t_self and t_oid, by merely accessing the HeapTuple structure
entries. If you need a table-specific column, you should take the
HeapTuple pointer, and use the GETSTRUCT() macro to access the
table-specific start of the tuple. You then cast the pointer as a
Form_pg_proc pointer if you are accessing the pg_proc table, or
Form_pg_type if you are accessing pg_type. You can then access the
columns by using a structure pointer:
((Form_pg_class) GETSTRUCT(tuple))->relnatts
You must not directly change live tuples in this way. The best way is
to use heap_modifytuple() and pass it your original tuple, and the
values you want changed. It returns a palloc'ed tuple, which you pass
to heap_replace(). You can delete tuples by passing the tuple's t_self
to heap_destroy(). You use t_self for heap_update() too. Remember,
tuples can be either system cache copies, which might go away after
you call ReleaseSysCache(), or read directly from disk buffers, which
go away when you heap_getnext(), heap_endscan, or ReleaseBuffer(), in
the heap_fetch() case. Or it may be a palloc'ed tuple, that you must
pfree() when finished.
2.2) Why are table, column, type, function, view names sometimes referenced
as Name or NameData, and sometimes as char *?
Table, column, type, function, and view names are stored in system
tables in columns of type Name. Name is a fixed-length,
null-terminated type of NAMEDATALEN bytes. (The default value for
NAMEDATALEN is 64 bytes.)
typedef struct nameData
{
char data[NAMEDATALEN];
} NameData;
typedef NameData *Name;
Table, column, type, function, and view names that come into the
backend via user queries are stored as variable-length,
null-terminated character strings.
Many functions are called with both types of names, ie. heap_open().
Because the Name type is null-terminated, it is safe to pass it to a
function expecting a char *. Because there are many cases where
on-disk names(Name) are compared to user-supplied names(char *), there
are many cases where Name and char * are used interchangeably.
2.3) Why do we use Node and List to make data structures?
We do this because this allows a consistent way to pass data inside
the backend in a flexible way. Every node has a NodeTag which
specifies what type of data is inside the Node. Lists are groups of
Nodes chained together as a forward-linked list.
Here are some of the List manipulation commands:
lfirst(i), lfirst_int(i), lfirst_oid(i)
return the data (a point, integer and OID respectively) at list
element i.
lnext(i)
return the next list element after i.
foreach(i, list)
loop through list, assigning each list element to i. It is
important to note that i is a List *, not the data in the List
element. You need to use lfirst(i) to get at the data. Here is
a typical code snippet that loops through a List containing Var
*'s and processes each one:
List *list;
ListCell *i;
foreach(i, list)
{
Var *var = lfirst(i);
/* process var here */
}
lcons(node, list)
add node to the front of list, or create a new list with node
if list is NIL.
lappend(list, node)
add node to the end of list. This is more expensive that lcons.
nconc(list1, list2)
Concat list2 on to the end of list1.
length(list)
return the length of the list.
nth(i, list)
return the i'th element in list.
lconsi, ...
There are integer versions of these: lconsi, lappendi, etc.
Also versions for OID lists: lconso, lappendo, etc.
You can print nodes easily inside gdb. First, to disable output
truncation when you use the gdb print command:
(gdb) set print elements 0
Instead of printing values in gdb format, you can use the next two
commands to print out List, Node, and structure contents in a verbose
format that is easier to understand. List's are unrolled into nodes,
and nodes are printed in detail. The first prints in a short format,
and the second in a long format:
(gdb) call print(any_pointer)
(gdb) call pprint(any_pointer)
The output appears in the postmaster log file, or on your screen if
you are running a backend directly without a postmaster.
2.4) I just added a field to a structure. What else should I do?
The structures passing around from the parser, rewrite, optimizer, and
executor require quite a bit of support. Most structures have support
routines in src/backend/nodes used to create, copy, read, and output
those structures (in particular, the files copyfuncs.c and
equalfuncs.c. Make sure you add support for your new field to these
files. Find any other places the structure might need code for your
new field. mkid is helpful with this (see 1.9).
2.5) Why do we use palloc() and pfree() to allocate memory?
palloc() and pfree() are used in place of malloc() and free() because
we find it easier to automatically free all memory allocated when a
query completes. This assures us that all memory that was allocated
gets freed even if we have lost track of where we allocated it. There
are special non-query contexts that memory can be allocated in. These
affect when the allocated memory is freed by the backend.
2.6) What is ereport()?
ereport() is used to send messages to the front-end, and optionally
terminate the current query being processed. The first parameter is an
ereport level of DEBUG (levels 1-5), LOG, INFO, NOTICE, ERROR, FATAL,
or PANIC. NOTICE prints on the user's terminal and the postmaster
logs. INFO prints only to the user's terminal and LOG prints only to
the server logs. (These can be changed from postgresql.conf.) ERROR
prints in both places, and terminates the current query, never
returning from the call. FATAL terminates the backend process. The
remaining parameters of ereport are a printf-style set of parameters
to print.
ereport(ERROR) frees most memory and open file descriptors so you
don't need to clean these up before the call.
2.7) What is CommandCounterIncrement()?
Normally, transactions can not see the rows they modify. This allows
UPDATE foo SET x = x + 1 to work correctly.
However, there are cases where a transactions needs to see rows
affected in previous parts of the transaction. This is accomplished
using a Command Counter. Incrementing the counter allows transactions
to be broken into pieces so each piece can see rows modified by
previous pieces. CommandCounterIncrement() increments the Command
Counter, creating a new part of the transaction.
2.8) What debugging features are available?
First, try running configure with the --enable-cassert option, many
assert()s monitor the progress of the backend and halt the program
when something unexpected occurs.
The 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 the 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. 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 might not be duplicated.
If the 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.
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.
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