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<p>Library Version 11.2.5.3</p>
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<th colspan="3" align="center">BTree Configuration</th>
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<tr>
<td width="20%" align="left"><a accesskey="p" href="cachesize.html">Prev</a> </td>
<th width="60%" align="center">Chapter 6. Database Configuration</th>
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</div>
<div class="sect1" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h2 class="title" style="clear: both"><a id="btree"></a>BTree Configuration</h2>
</div>
</div>
</div>
<div class="toc">
<dl>
<dt>
<span class="sect2">
<a href="btree.html#duplicateRecords">Allowing Duplicate Records</a>
</span>
</dt>
<dt>
<span class="sect2">
<a href="btree.html#comparators">Setting Comparison Functions</a>
</span>
</dt>
</dl>
</div>
<p>
In going through the previous chapters in this book, you may notice that
we touch on some topics that are specific to BTree, but we do not cover
those topics in any real detail. In this section, we will discuss
configuration issues that are unique to BTree.
</p>
<p>
Specifically, in this section we describe:
</p>
<div class="itemizedlist">
<ul type="disc">
<li>
<p>
Allowing duplicate records.
</p>
</li>
<li>
<p>
Setting comparator callbacks.
</p>
</li>
</ul>
</div>
<div class="sect2" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h3 class="title"><a id="duplicateRecords"></a>Allowing Duplicate Records</h3>
</div>
</div>
</div>
<p>
BTree databases can contain duplicate records. One record is
considered to be a duplicate of another when both records use keys
that compare as equal to one another.
</p>
<p>
By default, keys are compared using a lexicographical comparison,
with shorter keys collating higher than longer keys.
You can override this default using the
<code class="methodname">DB->set_bt_compare()</code>
method. See the next section for details.
</p>
<p>
By default, DB databases do not allow duplicate records. As a
result, any attempt to write a record that uses a key equal to a
previously existing record results in the previously existing record
being overwritten by the new record.
</p>
<p>
Allowing duplicate records is useful if you have a database that
contains records keyed by a commonly occurring piece of information.
It is frequently necessary to allow duplicate records for secondary
databases.
</p>
<p>
For example, suppose your primary database contained records related
to automobiles. You might in this case want to be able to find all
the automobiles in the database that are of a particular color, so
you would index on the color of the automobile. However, for any
given color there will probably be multiple automobiles. Since the
index is the secondary key, this means that multiple secondary
database records will share the same key, and so the secondary
database must support duplicate records.
</p>
<div class="sect3" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h4 class="title"><a id="sorteddups"></a>Sorted Duplicates</h4>
</div>
</div>
</div>
<p>
Duplicate records can be stored in sorted or unsorted order.
You can cause DB to automatically sort your duplicate
records by
<span>
specifying the <code class="literal">DB_DUPSORT</code> flag at
database creation time.
</span>
</p>
<p>
If sorted duplicates are supported, then the
<span>
sorting function specified on
<code class="methodname">DB->set_dup_compare()</code>
</span>
is used to determine the location of the duplicate record in its
duplicate set. If no such function is provided, then the default
lexicographical comparison is used.
</p>
</div>
<div class="sect3" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h4 class="title"><a id="nosorteddups"></a>Unsorted Duplicates</h4>
</div>
</div>
</div>
<p>
For performance reasons, BTrees should always contain sorted
records. (BTrees containing unsorted entries must potentially
spend a great deal more time locating an entry than does a BTree
that contains sorted entries). That said, DB provides support
for suppressing automatic sorting of duplicate records because it may be that
your application is inserting records that are already in a
sorted order.
</p>
<p>
That is, if the database is configured to support unsorted
duplicates, then the assumption is that your application
will manually perform the sorting. In this event,
expect to pay a significant performance penalty. Any time you
place records into the database in a sort order not know to
DB, you will pay a performance penalty
</p>
<p>
That said, this is how DB behaves when inserting records
into a database that supports non-sorted duplicates:
</p>
<div class="itemizedlist">
<ul type="disc">
<li>
<p>
If your application simply adds a duplicate record using
<span><code class="methodname">DB->put()</code>,</span>
then the record is inserted at the end of its sorted duplicate set.
</p>
</li>
<li>
<p>
If a cursor is used to put the duplicate record to the database,
then the new record is placed in the duplicate set according to the
flags that are provided on the
<code class="methodname">DBC->put()</code>
method. The relevant flags are:
</p>
<div class="itemizedlist">
<ul type="circle">
<li>
<p>
<code class="literal">DB_AFTER</code>
</p>
<p>
The data
<span>
provided on the call to
<code class="methodname">DBC->put()</code>
</span>
is placed into the database
as a duplicate record. The key used for this operation is
the key used for the record to which the cursor currently
refers. Any key provided on the call
<span>
to
<code class="methodname">DBC->put()</code>
</span>
is therefore ignored.
</p>
<p>
The duplicate record is inserted into the database
immediately after the cursor's current position in the
database.
</p>
<p>
This flag is ignored if sorted duplicates are supported for
the database.
</p>
</li>
<li>
<p>
<code class="literal">DB_BEFORE</code>
</p>
<p>
Behaves the same as
<code class="literal">DB_AFTER</code>
except that the new record is inserted immediately before
the cursor's current location in the database.
</p>
</li>
<li>
<p>
<code class="literal">DB_KEYFIRST</code>
</p>
<p>
If the key
<span>
provided on the call to
<code class="methodname">DBC->put()</code>
</span>
already exists in the
database, and the database is configured to use duplicates
without sorting, then the new record is inserted as the first entry
in the appropriate duplicates list.
</p>
</li>
<li>
<p>
<code class="literal">DB_KEYLAST</code>
</p>
<p>
Behaves identically to
<code class="literal">DB_KEYFIRST</code>
except that the new duplicate record is inserted as the last
record in the duplicates list.
</p>
</li>
</ul>
</div>
</li>
</ul>
</div>
</div>
<div class="sect3" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h4 class="title"><a id="specifyingDups"></a>Configuring a Database to Support Duplicates</h4>
</div>
</div>
</div>
<p>
Duplicates support can only be configured
at database creation time. You do this by specifying the appropriate
<span>
flags to
<code class="methodname">DB->set_flags()</code>
</span>
before the database is opened for the first time.
</p>
<p>
The
<span>flags</span>
that you can use are:
</p>
<div class="itemizedlist">
<ul type="disc">
<li>
<p>
<code class="literal">DB_DUP</code>
</p>
<p>
The database supports non-sorted duplicate records.
</p>
</li>
<li>
<p>
<code class="literal">DB_DUPSORT</code>
</p>
<p>
The database supports sorted duplicate records. Note
that this flag also sets the
<code class="literal">DB_DUP</code> flag for
you.
</p>
</li>
</ul>
</div>
<p>
The following code fragment illustrates how to configure a database
to support sorted duplicate records:
</p>
<a id="c_btree_dupsort"></a>
<pre class="programlisting">#include <db.h>
...
DB *dbp;
FILE *error_file_pointer;
int ret;
char *program_name = "my_prog";
char *file_name = "mydb.db";
/* Variable assignments omitted for brevity */
/* Initialize the DB handle */
ret = db_create(&dbp, NULL, 0);
if (ret != 0) {
fprintf(error_file_pointer, "%s: %s\n", program_name,
db_strerror(ret));
return(ret);
}
/* Set up error handling for this database */
dbp->set_errfile(dbp, error_file_pointer);
dbp->set_errpfx(dbp, program_name);
/*
* Configure the database for sorted duplicates
*/
ret = dbp->set_flags(dbp, DB_DUPSORT);
if (ret != 0) {
dbp->err(dbp, ret, "Attempt to set DUPSORT flag failed.");
dbp->close(dbp, 0);
return(ret);
}
/* Now open the database */
ret = dbp->open(dbp, /* Pointer to the database */
NULL, /* Txn pointer */
file_name, /* File name */
NULL, /* Logical db name (unneeded) */
DB_BTREE, /* Database type (using btree) */
DB_CREATE, /* Open flags */
0); /* File mode. Using defaults */
if (ret != 0) {
dbp->err(dbp, ret, "Database '%s' open failed.", file_name);
dbp->close(dbp, 0);
return(ret);
} </pre>
</div>
</div>
<div class="sect2" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h3 class="title"><a id="comparators"></a>Setting Comparison Functions</h3>
</div>
</div>
</div>
<p>
By default, DB uses a lexicographical comparison function where
shorter records collate before longer records. For the majority of
cases, this comparison works well and you do not need to manage
it in any way.
</p>
<p>
However, in some situations your application's performance can
benefit from setting a custom comparison routine. You can do this
either for database keys, or for the data if your
database supports sorted duplicate records.
</p>
<p>
Some of the reasons why you may want to provide a custom sorting
function are:
</p>
<div class="itemizedlist">
<ul type="disc">
<li>
<p>
Your database is keyed using strings and you want to provide
some sort of language-sensitive ordering to that data. Doing
so can help increase the locality of reference that allows
your database to perform at its best.
</p>
</li>
<li>
<p>
You are using a little-endian system (such as x86) and you
are using integers as your database's keys. Berkeley DB
stores keys as byte strings and little-endian integers
do not sort well when viewed as byte strings. There are
several solutions to this problem, one being to provide a
custom comparison function. See
<a class="ulink" href="http://download.oracle.com/docs/cd/E17076_02/html/programmer_reference/am_misc_faq.html" target="_top">http://download.oracle.com/docs/cd/E17076_02/html/programmer_reference/am_misc_faq.html</a>
for more information.
</p>
</li>
<li>
<p>
You you do not want the entire key to participate in the
comparison, for whatever reason. In
this case, you may want to provide a custom comparison
function so that only the relevant bytes are examined.
</p>
</li>
</ul>
</div>
<div class="sect3" lang="en" xml:lang="en">
<div class="titlepage">
<div>
<div>
<h4 class="title"><a id="creatingComparisonFunctions"></a>
<span>Creating Comparison Functions</span>
</h4>
</div>
</div>
</div>
<p>
You set a BTree's key
<span>
comparison function
</span>
using
<span><code class="methodname">DB->set_bt_compare()</code>.</span>
You can also set a BTree's duplicate data comparison function using
<span><code class="methodname">DB->set_dup_compare()</code>.</span>
</p>
<p>
<span>
You cannot use these methods after the database has been opened.
Also, if
</span>
the database already exists when it is opened, the
<span>
function
</span>
provided to these methods must be the same as
that historically used to create the database or corruption can
occur.
</p>
<p>
The value that you provide to the <code class="methodname">set_bt_compare()</code> method
is a pointer to a function that has the following signature:
</p>
<pre class="programlisting">int (*function)(DB *db, const DBT *key1, const DBT *key2)</pre>
<p>
This function must return an integer value less than, equal to,
or greater than 0. If key1 is considered to be greater than
key2, then the function must return a value that is greater than
0. If the two are equal, then the function must return 0, and if
the first key is less than the second then the function must return
a negative value.
</p>
<p>
The function that you provide to <code class="methodname">set_dup_compare()</code>
works in exactly the same way, except that the
<code class="literal">DBT</code>
parameters hold record data items instead of keys.
</p>
<p>
For example, an example routine that is used to sort integer
keys in the database is:
<span>
</span>
</p>
<a id="c_btree1"></a>
<pre class="programlisting">int
compare_int(DB *dbp, const DBT *a, const DBT *b)
{
int ai, bi;
/*
* Returns:
* < 0 if a < b
* = 0 if a = b
* > 0 if a > b
*/
memcpy(&ai, a->data, sizeof(int));
memcpy(&bi, b->data, sizeof(int));
return (ai - bi);
} </pre>
<p>
Note that the data must first be copied into memory that is
appropriately aligned, as Berkeley DB does not guarantee any kind of
alignment of the underlying data, including for comparison routines.
When writing comparison routines, remember that databases created on
machines of different architectures may have different integer byte
orders, for which your code may need to compensate.
</p>
<p>
To cause DB to use this comparison function:
</p>
<a id="c_btree2"></a>
<pre class="programlisting">#include <db.h>
#include <string.h>
...
DB *dbp;
int ret;
/* Create a database */
ret = db_create(&dbp, NULL, 0);
if (ret != 0) {
fprintf(stderr, "%s: %s\n", "my_program",
db_strerror(ret));
return(-1);
}
/* Set up the btree comparison function for this database */
dbp->set_bt_compare(dbp, compare_int);
/* Database open call follows sometime after this. */ </pre>
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