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BTREE(3)                      Linux Programmer's Manual                      BTREE(3)

NAME         top

       btree - btree database access method

SYNOPSIS         top

       #include <sys/types.h>
       #include <db.h>

DESCRIPTION         top

       The routine dbopen(3) is the library interface to database files.  One of the
       supported file formats is btree files.  The general description of the
       database access methods is in dbopen(3), this manual page describes only the
       btree specific information.

       The btree data structure is a sorted, balanced tree structure storing
       associated key/data pairs.

       The btree access method specific data structure provided to dbopen(3) is
       defined in the <db.h> include file as follows:

           typedef struct {
               unsigned long flags;
               unsigned int  cachesize;
               int           maxkeypage;
               int           minkeypage;
               unsigned int  psize;
               int         (*compare)(const DBT *key1, const DBT *key2);
               size_t      (*prefix)(const DBT *key1, const DBT *key2);
               int           lorder;
           } BTREEINFO;

       The elements of this structure are as follows:

       flags  The flag value is specified by or'ing any of the following values:

              R_DUP  Permit duplicate keys in the tree, that is, permit insertion if
                     the key to be inserted already exists in the tree.  The default
                     behavior, as described in dbopen(3), is to overwrite a matching
                     key when inserting a new key or to fail if the R_NOOVERWRITE
                     flag is specified.  The R_DUP flag is overridden by the
                     R_NOOVERWRITE flag, and if the R_NOOVERWRITE flag is specified,
                     attempts to insert duplicate keys into the tree will fail.

                     If the database contains duplicate keys, the order of retrieval
                     of key/data pairs is undefined if the get routine is used,
                     however, seq routine calls with the R_CURSOR flag set will
                     always return the logical "first" of any group of duplicate
                     keys.

       cachesize
              A suggested maximum size (in bytes) of the memory cache.  This value is
              only advisory, and the access method will allocate more memory rather
              than fail.  Since every search examines the root page of the tree,
              caching the most recently used pages substantially improves access
              time.  In addition, physical writes are delayed as long as possible, so
              a moderate cache can reduce the number of I/O operations significantly.
              Obviously, using a cache increases (but only increases) the likelihood
              of corruption or lost data if the system crashes while a tree is being
              modified.  If cachesize is 0 (no size is specified) a default cache is
              used.

       maxkeypage
              The maximum number of keys which will be stored on any single page.
              Not currently implemented.

       minkeypage
              The minimum number of keys which will be stored on any single page.
              This value is used to determine which keys will be stored on overflow
              pages, that is, if a key or data item is longer than the pagesize
              divided by the minkeypage value, it will be stored on overflow pages
              instead of in the page itself.  If minkeypage is 0 (no minimum number
              of keys is specified) a value of 2 is used.

       psize  Page size is the size (in bytes) of the pages used for nodes in the
              tree.  The minimum page size is 512 bytes and the maximum page size is
              64K.  If psize is 0 (no page size is specified) a page size is chosen
              based on the underlying file system I/O block size.

       compare
              Compare is the key comparison function.  It must return an integer less
              than, equal to, or greater than zero if the first key argument is
              considered to be respectively less than, equal to, or greater than the
              second key argument.  The same comparison function must be used on a
              given tree every time it is opened.  If compare is NULL (no comparison
              function is specified), the keys are compared lexically, with shorter
              keys considered less than longer keys.

       prefix Prefix is the prefix comparison function.  If specified, this routine
              must return the number of bytes of the second key argument which are
              necessary to determine that it is greater than the first key argument.
              If the keys are equal, the key length should be returned.  Note, the
              usefulness of this routine is very data-dependent, but, in some data
              sets can produce significantly reduced tree sizes and search times.  If
              prefix is NULL (no prefix function is specified), and no comparison
              function is specified, a default lexical comparison routine is used.
              If prefix is NULL and a comparison routine is specified, no prefix
              comparison is done.

       lorder The byte order for integers in the stored database metadata.  The
              number should represent the order as an integer; for example, big
              endian order would be the number 4,321.  If lorder is 0 (no order is
              specified) the current host order is used.

       If the file already exists (and the O_TRUNC flag is not specified), the values
       specified for the arguments flags, lorder and psize are ignored in favor of
       the values used when the tree was created.

       Forward sequential scans of a tree are from the least key to the greatest.

       Space freed up by deleting key/data pairs from the tree is never reclaimed,
       although it is normally made available for reuse.  This means that the btree
       storage structure is grow-only.  The only solutions are to avoid excessive
       deletions, or to create a fresh tree periodically from a scan of an existing
       one.

       Searches, insertions, and deletions in a btree will all complete in O lg base
       N where base is the average fill factor.  Often, inserting ordered data into
       btrees results in a low fill factor.  This implementation has been modified to
       make ordered insertion the best case, resulting in a much better than normal
       page fill factor.

ERRORS         top

       The btree access method routines may fail and set errno for any of the errors
       specified for the library routine dbopen(3).

BUGS         top

       Only big and little endian byte order is supported.

SEE ALSO         top

       dbopen(3), hash(3), mpool(3), recno(3)

       The Ubiquitous B-tree, Douglas Comer, ACM Comput. Surv. 11, 2 (June 1979),
       121-138.

       Prefix B-trees, Bayer and Unterauer, ACM Transactions on Database Systems,
       Vol. 2, 1 (March 1977), 11-26.

       The Art of Computer Programming Vol. 3: Sorting and Searching, D.E. Knuth,
       1968, pp 471-480.

COLOPHON         top

       This page is part of release 3.23 of the Linux man-pages project.  A
       description of the project, and information about reporting bugs, can be found
       at http://www.kernel.org/doc/man-pages/.

                                      1994-08-18                             BTREE(3)