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NAME

       btree - btree database access method

LIBRARY

       Standard C library (libc, -lc)

SYNOPSIS

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

DESCRIPTION

       Note  well: This page documents interfaces provided up until glibc 2.1.  Since glibc 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 64 KiB.  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.