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

Last updated: Fri Jun 9 21:54:54 EDT 2000

Current maintainer: Bruce Momjian (pgman@candle.pha.pa.us)

The most recent version of this document can be viewed at the postgreSQL Web site, http://PostgreSQL.org.

## Questions

1) What tools are available for developers?
2) What books are good for developers?
3) Why do we use palloc() and pfree() to allocate memory?
4) Why do we use Node and List to make data structures?
5) How do I add a feature or fix a bug?
6) How do I download/update the current source tree?
7) How do I test my changes?
7) I just added a field to a structure. What else should I do?
8) Why are table, column, type, function, view names sometimes referenced as Name or NameData, and sometimes as char *?
9) How do I efficiently access information in tables from the backend code?
10) What is elog()?
11) What is configure all about?
12) How do I add a new port?
13) What is CommandCounterIncrement()?

### 1) What tools are available for developers?

Aside from the User documentation mentioned in the regular FAQ, there are several development tools available. First, all the files in the /tools directory are designed for developers.

    	RELEASE_CHANGES		changes we have to make for each release
    	SQL_keywords		standard SQL'92 keywords
    	backend			description/flowchart of the backend directories
    	ccsym			find standard defines made by your compiler
    	entab			converts tabs to spaces, used by pgindent
    	find_static		finds functions that could be made static
    	find_typedef		get a list of typedefs in the source code
    	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.README	make comparison of our keywords and SQL'92
    	make_mkid		make mkid ID files
    	mkldexport		create AIX exports file
    	pgindent		indents C source files
    	pginclude		scripts for adding/removing include files
    	unused_oids		in pgsql/src/include/catalog

Let me note some of these. If you point your browser at the file:/usr/local/src/pgsql/src/tools/backend/index.html directory, 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://alpha.gnu.org/gnu/id-utils-3.2d.tar.gz
    	ftp://tug.org/gnu/id-utils-3.2d.tar.gz
    	ftp://ftp.enst.fr/pub/gnu/gnits/id-utils-3.2d.tar.gz

By running tools/make_mkid, an archive of source symbols can be created that can be rapidly queried like grep or edited. Others prefer glimpse.

make_diff has tools to create patch diff files that can be applied to the distribution.

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
    		; Cmd to set tab stops &etc for working with PostgreSQL code
                 (c-add-style "pgsql"
    			          '("bsd"
                                     (indent-tabs-mode . t)
                                     (c-basic-offset   . 4)
                                     (tab-width . 4)
    			                     (c-offsets-alist .
                                                ((case-label . +))))
                           t) ; t = set this mode on

    	    and add this to your autoload list (modify file path in macro):

    		(setq auto-mode-alist
    		      (cons '("\\`/usr/local/src/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.

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.

### 2) 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.

### 3) Why do we use palloc() and pfree() to allocate memory?

palloc() and pfree() are used in place of malloc() and free() because we automatically free all memory allocated when a transaction completes. This makes it easier to make sure we free memory that gets allocated in one place, but only freed much later. There are several contexts that memory can be allocated in, and this controls when the allocated memory is automatically freed by the backend.

### 4) 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)
>   return the data 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 snipped that loops through a List containing Var *'s and processes each one:

>           List *i, *list;

>           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, nthi. List's containing integers instead of Node pointers are used to hold list of relation object id's and other integer quantities.

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.

### 5) How do I add a feature or fix a bug?

The source code is over 250,000 lines. Many problems/features are isolated to one specific area of the code. Others require knowledge of much of the source. If you are confused about where to start, ask the hackers list, and they will be glad to assess the complexity and give pointers on where to start.

Another thing to keep in mind is that many fixes and features can be added with surprisingly little code. I often start by adding code, then looking at other areas in the code where similar things are done, and by the time I am finished, the patch is quite small and compact.

When adding code, keep in mind that it should use the existing facilities in the source, for performance reasons and for simplicity. Often a review of existing code doing similar things is helpful.

### 6) 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.postgresql.org. For regular developers, you can use CVS. CVS allows you to download the source tree, then occasionally update your copy of the source tree with any new changes. Using CVS, you don't have to download the entire source each time, only the changed files. Anonymous CVS does not allows developers to update the remote source tree, though privileged developers can do this. There is a CVS FAQ on our web site that describes how to use remote CVS. You can also use CVSup, which has similarly functionality, and is available from ftp.postgresql.org.

To update the source tree, there are two ways. You can generate a patch against your current source tree, perhaps using the make_diff tools mentioned above, and send them to the patches list. They will be reviewed, and applied in a timely manner. If the patch is major, and we are in beta testing, the developers may wait for the final release before applying your patches.

For hard-core developers, Marc(scrappy@postgresql.org) will give you a Unix shell account on postgresql.org, so you can use CVS to update the main source tree, or you can ftp your files into your account, patch, and cvs install the changes directly into the source tree.

### 6) How do I test my changes?

First, use psql to make sure it is working as you expect. Then run src/test/regress and get the output of src/test/regress/checkresults with and without your changes, to see that your patch does not change the regression test in unexpected ways. This practice has saved me many times. The regression tests test the code in ways I would never do, and has caught many bugs in my patches. By finding the problems now, you save yourself a lot of debugging later when things are broken, and you can't figure out when it happened.

### 7) 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. 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 above).

### 8) 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 32 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.

### 9) 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, SearchSysCacheTuple() 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 cached-owned versions of the heap rows. They are invalidated when the base table changes. Because the cache is local to each backend, you may use the pointer returned from the cache for short periods without making a copy of the tuple. If you send the pointer into a large function that will be doing its own cache lookups, it is possible the cache entry may be flushed, so you should use SearchSysCacheTupleCopy() in these cases, and pfree() the tuple when you are done.

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 should not directly change live tuples in this way. The best way is to use heap_tuplemodify() and pass it your palloc'ed tuple, and the values you want changed. It returns another palloc'ed tuple, which you pass to heap_replace(). You can delete tuples by passing the tuple's t_self to heap_destroy(). You can use it for heap_update() too. Remember, tuples can be either system cache versions, which may go away soon after you get them, buffer cache versions, 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.

### 10) What is elog()?

elog() is used to send messages to the front-end, and optionally terminate the current query being processed. The first parameter is an elog level of NOTICE, DEBUG, ERROR, or FATAL. NOTICE prints on the user's terminal and the postmaster logs. DEBUG prints only in the postmaster logs. ERROR prints in both places, and terminates the current query, never returning from the call. FATAL terminates the backend process. The remaining parameters of elog are a printf-style set of parameters to print.

### 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.

### 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.

### 13) 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.