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NAME

       btree - btree database access method

SYNOPSIS

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

DESCRIPTION

       Note  well:  This  page  documents interfaces provided in glibc up until version 2.1.  Since version 2.2,
       glibc no longer provides these interfaces.  Probably, you are looking for the APIs provided by the  libdb
       library instead.

       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 ORing 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 filesystem 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

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

BUGS

       Only big and little endian byte order is supported.

SEE ALSO

       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

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                                                   2012-04-23                                           BTREE(3)