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			436 lines
		
	
	
		
			20 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
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          Developer's Frequently Asked Questions (FAQ) for PostgreSQL
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   Last updated: Fri Jun 9 21:54:54 EDT 2000
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   Current maintainer: Bruce Momjian (pgman@candle.pha.pa.us)
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   The most recent version of this document can be viewed at the
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   postgreSQL Web site, http://PostgreSQL.org.
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     _________________________________________________________________
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                                 Questions
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   1) What tools are available for developers?
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   2) What books are good for developers?
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   3) Why do we use palloc() and pfree() to allocate memory?
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   4) Why do we use Node and List to make data structures?
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   5) How do I add a feature or fix a bug?
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   6) How do I download/update the current source tree?
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   7) How do I test my changes?
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   7) I just added a field to a structure. What else should I do?
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   8) Why are table, column, type, function, view names sometimes
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   referenced as Name or NameData, and sometimes as char *?
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   9) How do I efficiently access information in tables from the backend
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   code?
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   10) What is elog()?
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   11) What is configure all about?
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   12) How do I add a new port?
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   13) What is CommandCounterIncrement()?
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   14) Why don't we use threads in the backend?
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     _________________________________________________________________
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  1) What tools are available for developers?
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   Aside from the User documentation mentioned in the regular FAQ, there
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   are several development tools available. First, all the files in the
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   /tools directory are designed for developers.
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    RELEASE_CHANGES     changes we have to make for each release
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    SQL_keywords        standard SQL'92 keywords
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    backend         description/flowchart of the backend directories
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    ccsym           find standard defines made by your compiler
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    entab           converts tabs to spaces, used by pgindent
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    find_static     finds functions that could be made static
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    find_typedef        get a list of typedefs in the source code
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    make_ctags      make vi 'tags' file in each directory
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    make_diff       make *.orig and diffs of source
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    make_etags      make emacs 'etags' files
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    make_keywords.README    make comparison of our keywords and SQL'92
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    make_mkid       make mkid ID files
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    mkldexport      create AIX exports file
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    pgindent        indents C source files
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    pginclude       scripts for adding/removing include files
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    unused_oids     in pgsql/src/include/catalog
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   Let me note some of these. If you point your browser at the
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   file:/usr/local/src/pgsql/src/tools/backend/index.html directory, you
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   will see few paragraphs describing the data flow, the backend
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   components in a flow chart, and a description of the shared memory
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   area. You can click on any flowchart box to see a description. If you
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   then click on the directory name, you will be taken to the source
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   directory, to browse the actual source code behind it. We also have
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   several README files in some source directories to describe the
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   function of the module. The browser will display these when you enter
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   the directory also. The tools/backend directory is also contained on
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   our web page under the title How PostgreSQL Processes a Query.
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   Second, you really should have an editor that can handle tags, so you
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   can tag a function call to see the function definition, and then tag
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   inside that function to see an even lower-level function, and then
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   back out twice to return to the original function. Most editors
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   support this via tags or etags files.
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   Third, you need to get id-utils from:
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    ftp://alpha.gnu.org/gnu/id-utils-3.2d.tar.gz
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    ftp://tug.org/gnu/id-utils-3.2d.tar.gz
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    ftp://ftp.enst.fr/pub/gnu/gnits/id-utils-3.2d.tar.gz
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   By running tools/make_mkid, an archive of source symbols can be
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   created that can be rapidly queried like grep or edited. Others prefer
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   glimpse.
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   make_diff has tools to create patch diff files that can be applied to
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   the distribution.
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   Our standard format is to indent each code level with one tab, where
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   each tab is four spaces. You will need to set your editor to display
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   tabs as four spaces:
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    vi in ~/.exrc:
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            set tabstop=4
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            set sw=4
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    more:
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            more -x4
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    less:
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            less -x4
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    emacs:
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        M-x set-variable tab-width
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        or
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        ; Cmd to set tab stops & indenting for working with PostgreSQL code
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             (c-add-style "pgsql"
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                      '("bsd"
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                                 (indent-tabs-mode . t)
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                                 (c-basic-offset   . 4)
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                                 (tab-width . 4)
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                                 (c-offsets-alist .
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                                            ((case-label . +))))
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                       t) ; t = set this mode on
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        and add this to your autoload list (modify file path in macro):
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        (setq auto-mode-alist
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              (cons '("\\`/usr/local/src/pgsql/.*\\.[chyl]\\'" . pgsql-c-mode)
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            auto-mode-alist))
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        or
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            /*
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             * Local variables:
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             *  tab-width: 4
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             *  c-indent-level: 4
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             *  c-basic-offset: 4
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             * End:
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             */
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   pgindent will the format code by specifying flags to your operating
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   system's utility indent.
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   pgindent is run on all source files just before each beta test period.
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   It auto-formats all source files to make them consistent. Comment
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   blocks that need specific line breaks should be formatted as block
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   comments, where the comment starts as /*------. These comments will
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   not be reformatted in any way. pginclude contains scripts used to add
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   needed #include's to include files, and removed unneeded #include's.
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   When adding system types, you will need to assign oids to them. There
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   is also a script called unused_oids in pgsql/src/include/catalog that
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   shows the unused oids.
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  2) What books are good for developers?
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   I have four good books, An Introduction to Database Systems, by C.J.
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   Date, Addison, Wesley, A Guide to the SQL Standard, by C.J. Date, et.
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   al, Addison, Wesley, Fundamentals of Database Systems, by Elmasri and
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   Navathe, and Transaction Processing, by Jim Gray, Morgan, Kaufmann
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   There is also a database performance site, with a handbook on-line
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   written by Jim Gray at http://www.benchmarkresources.com.
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  3) Why do we use palloc() and pfree() to allocate memory?
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   palloc() and pfree() are used in place of malloc() and free() because
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   we automatically free all memory allocated when a transaction
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   completes. This makes it easier to make sure we free memory that gets
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   allocated in one place, but only freed much later. There are several
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   contexts that memory can be allocated in, and this controls when the
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   allocated memory is automatically freed by the backend.
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  4) Why do we use Node and List to make data structures?
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   We do this because this allows a consistent way to pass data inside
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   the backend in a flexible way. Every node has a NodeTag which
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   specifies what type of data is inside the Node. Lists are groups of
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   Nodes chained together as a forward-linked list.
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   Here are some of the List manipulation commands:
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   lfirst(i)
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          return the data at list element i.
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   lnext(i)
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          return the next list element after i.
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   foreach(i, list)
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          loop through list, assigning each list element to i. It is
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          important to note that i is a List *, not the data in the List
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          element. You need to use lfirst(i) to get at the data. Here is
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          a typical code snipped that loops through a List containing Var
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          *'s and processes each one:
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List *i, *list;
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    foreach(i, list)
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    {
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        Var *var = lfirst(i);
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        /* process var here */
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    }
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   lcons(node, list)
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          add node to the front of list, or create a new list with node
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          if list is NIL.
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   lappend(list, node)
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          add node to the end of list. This is more expensive that lcons.
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   nconc(list1, list2)
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          Concat list2 on to the end of list1.
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   length(list)
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          return the length of the list.
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   nth(i, list)
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          return the i'th element in list.
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   lconsi, ...
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          There are integer versions of these: lconsi, lappendi, nthi.
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          List's containing integers instead of Node pointers are used to
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          hold list of relation object id's and other integer quantities.
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   You can print nodes easily inside gdb. First, to disable output
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   truncation when you use the gdb print command:
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(gdb) set print elements 0
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   Instead of printing values in gdb format, you can use the next two
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   commands to print out List, Node, and structure contents in a verbose
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   format that is easier to understand. List's are unrolled into nodes,
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   and nodes are printed in detail. The first prints in a short format,
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   and the second in a long format:
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(gdb) call print(any_pointer)
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    (gdb) call pprint(any_pointer)
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   The output appears in the postmaster log file, or on your screen if
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   you are running a backend directly without a postmaster.
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  5) How do I add a feature or fix a bug?
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   The source code is over 250,000 lines. Many problems/features are
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   isolated to one specific area of the code. Others require knowledge of
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   much of the source. If you are confused about where to start, ask the
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   hackers list, and they will be glad to assess the complexity and give
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   pointers on where to start.
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   Another thing to keep in mind is that many fixes and features can be
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   added with surprisingly little code. I often start by adding code,
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   then looking at other areas in the code where similar things are done,
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   and by the time I am finished, the patch is quite small and compact.
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   When adding code, keep in mind that it should use the existing
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   facilities in the source, for performance reasons and for simplicity.
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   Often a review of existing code doing similar things is helpful.
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  6) How do I download/update the current source tree?
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   There are several ways to obtain the source tree. Occasional
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   developers can just get the most recent source tree snapshot from
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   ftp.postgresql.org. For regular developers, you can use CVS. CVS
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   allows you to download the source tree, then occasionally update your
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   copy of the source tree with any new changes. Using CVS, you don't
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   have to download the entire source each time, only the changed files.
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   Anonymous CVS does not allows developers to update the remote source
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   tree, though privileged developers can do this. There is a CVS FAQ on
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   our web site that describes how to use remote CVS. You can also use
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   CVSup, which has similarly functionality, and is available from
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   ftp.postgresql.org.
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   To update the source tree, there are two ways. You can generate a
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   patch against your current source tree, perhaps using the make_diff
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   tools mentioned above, and send them to the patches list. They will be
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   reviewed, and applied in a timely manner. If the patch is major, and
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   we are in beta testing, the developers may wait for the final release
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   before applying your patches.
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   For hard-core developers, Marc(scrappy@postgresql.org) will give you a
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   Unix shell account on postgresql.org, so you can use CVS to update the
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   main source tree, or you can ftp your files into your account, patch,
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   and cvs install the changes directly into the source tree.
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  6) How do I test my changes?
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   First, use psql to make sure it is working as you expect. Then run
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   src/test/regress and get the output of src/test/regress/checkresults
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   with and without your changes, to see that your patch does not change
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   the regression test in unexpected ways. This practice has saved me
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   many times. The regression tests test the code in ways I would never
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   do, and has caught many bugs in my patches. By finding the problems
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   now, you save yourself a lot of debugging later when things are
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   broken, and you can't figure out when it happened.
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  7) I just added a field to a structure. What else should I do?
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   The structures passing around from the parser, rewrite, optimizer, and
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   executor require quite a bit of support. Most structures have support
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   routines in src/backend/nodes used to create, copy, read, and output
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   those structures. Make sure you add support for your new field to
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   these files. Find any other places the structure may need code for
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   your new field. mkid is helpful with this (see above).
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  8) Why are table, column, type, function, view names sometimes referenced as
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  Name or NameData, and sometimes as char *?
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   Table, column, type, function, and view names are stored in system
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   tables in columns of type Name. Name is a fixed-length,
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   null-terminated type of NAMEDATALEN bytes. (The default value for
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   NAMEDATALEN is 32 bytes.)
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typedef struct nameData
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    {
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        char        data[NAMEDATALEN];
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    } NameData;
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    typedef NameData *Name;
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   Table, column, type, function, and view names that come into the
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   backend via user queries are stored as variable-length,
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   null-terminated character strings.
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   Many functions are called with both types of names, ie. heap_open().
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   Because the Name type is null-terminated, it is safe to pass it to a
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   function expecting a char *. Because there are many cases where
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   on-disk names(Name) are compared to user-supplied names(char *), there
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   are many cases where Name and char * are used interchangeably.
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  9) How do I efficiently access information in tables from the backend code?
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   You first need to find the tuples(rows) you are interested in. There
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   are two ways. First, SearchSysCache() and related functions allow you
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   to query the system catalogs. This is the preferred way to access
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   system tables, because the first call to the cache loads the needed
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   rows, and future requests can return the results without accessing the
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   base table. The caches use system table indexes to look up tuples. A
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   list of available caches is located in
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   src/backend/utils/cache/syscache.c.
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   src/backend/utils/cache/lsyscache.c contains many column-specific
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   cache lookup functions.
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   The rows returned are cache-owned versions of the heap rows.
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   Therefore, you must not modify or delete the tuple returned by
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   SearchSysCache(). What you should do is release it with
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   ReleaseSysCache() when you are done using it; this informs the cache
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   that it can discard that tuple if necessary. If you neglect to call
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   ReleaseSysCache(), then the cache entry will remain locked in the
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   cache until end of transaction, which is tolerable but not very
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   desirable.
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   If you can't use the system cache, you will need to retrieve the data
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   directly from the heap table, using the buffer cache that is shared by
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   all backends. The backend automatically takes care of loading the rows
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   into the buffer cache.
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   Open the table with heap_open(). You can then start a table scan with
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   heap_beginscan(), then use heap_getnext() and continue as long as
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   HeapTupleIsValid() returns true. Then do a heap_endscan(). Keys can be
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   assigned to the scan. No indexes are used, so all rows are going to be
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   compared to the keys, and only the valid rows returned.
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   You can also use heap_fetch() to fetch rows by block number/offset.
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   While scans automatically lock/unlock rows from the buffer cache, with
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   heap_fetch(), you must pass a Buffer pointer, and ReleaseBuffer() it
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   when completed.
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   Once you have the row, you can get data that is common to all tuples,
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   like t_self and t_oid, by merely accessing the HeapTuple structure
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   entries. If you need a table-specific column, you should take the
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   HeapTuple pointer, and use the GETSTRUCT() macro to access the
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   table-specific start of the tuple. You then cast the pointer as a
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   Form_pg_proc pointer if you are accessing the pg_proc table, or
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   Form_pg_type if you are accessing pg_type. You can then access the
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   columns by using a structure pointer:
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((Form_pg_class) GETSTRUCT(tuple))->relnatts
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   You must not directly change live tuples in this way. The best way is
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   to use heap_modifytuple() and pass it your original tuple, and the
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   values you want changed. It returns a palloc'ed tuple, which you pass
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   to heap_replace(). You can delete tuples by passing the tuple's t_self
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   to heap_destroy(). You use t_self for heap_update() too. Remember,
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   tuples can be either system cache copies, which may go away after you
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   call ReleaseSysCache(), or read directly from disk buffers, which go
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   away when you heap_getnext(), heap_endscan, or ReleaseBuffer(), in the
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   heap_fetch() case. Or it may be a palloc'ed tuple, that you must
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   pfree() when finished.
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						|
   
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  10) What is elog()?
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						|
  
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   elog() is used to send messages to the front-end, and optionally
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   terminate the current query being processed. The first parameter is an
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   elog level of NOTICE, DEBUG, ERROR, or FATAL. NOTICE prints on the
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   user's terminal and the postmaster logs. DEBUG prints only in the
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   postmaster logs. ERROR prints in both places, and terminates the
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   current query, never returning from the call. FATAL terminates the
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   backend process. The remaining parameters of elog are a printf-style
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   set of parameters to print.
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  11) What is configure all about?
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   The files configure and configure.in are part of the GNU autoconf
 | 
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   package. Configure allows us to test for various capabilities of the
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   OS, and to set variables that can then be tested in C programs and
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   Makefiles. Autoconf is installed on the PostgreSQL main server. To add
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   options to configure, edit configure.in, and then run autoconf to
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   generate configure.
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   When configure is run by the user, it tests various OS capabilities,
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   stores those in config.status and config.cache, and modifies a list of
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   *.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.
 | 
						|
   
 | 
						|
  14) Why don't we use threads in the backend?
 | 
						|
  
 | 
						|
   There are several reasons threads are not used:
 | 
						|
     * 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.
 |