# Developer's Frequently Asked Questions (FAQ) for PostgreSQL

Last updated: Tue Mar 8 08:27:31 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_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) Where can I learn more about the code?
1.6) I've developed a patch, what next?
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()?

## General Questions

### 1.1) How go 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://developer.postgresql.org/todo.php.

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: others may be working on the same TODO item; you may have misunderstood the TODO item; your approach may benefit from the review of others.

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) 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.

### 1.6) I've developed a patch, what next?

Generate the patch in contextual diff format. If you are unfamiliar with this, you may 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 may be either accepted or sent back for further work.

### 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 may 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 verion 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 behaviour, this change may 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.

### 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 ancilliary 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 whereever 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 go 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 al so 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 may 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, inteter 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 may 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.